bluuebunny/crossref_metadata_2025_split huggingface dataset:
Combinations of chronic conditions, functional limitations and geriatric syndromes associated with periodontal disease
Authors: Alqahtani Hussam M , Koroukian Siran M , Stange Kurt , Bissada Nabil F , Schiltz Nicholas K 
Published: August 2022

ObjectiveTo identify complex multimorbid conditions, including chronic conditions, functional limitations and geriatric syndromes, associated with the presence and severity of periodontal disease (PD), after accounting for a series of demographic and behavioural characteristics.DesignThis cross-sectional study used secondary data from a nationally representative sample, classification and regression tree analysis and random forest identified combinations of specific conditions constituting complex multimorbidity associated with the presence and severity of PD.SettingUS National Health and Nutritional Examination Survey (2013–2014).ParticipantsIndividuals 60 years of age or older who completed a periodontal examination.ResultsAmong 937 participants aged 60 and over, the prevalence of PD was 72.6%. PD was associated with sociodemographic factors and limitations in instrumental activities of daily living. Male sex and non-white race were the two most critical predictors of stage III/IV PD. Other important factors included age, education level and the federal poverty level.ConclusionsRather than chronic conditions or geriatric syndromes, PD was associated with sociodemographic factors and functional limitations. Accounting for the co-occurrence of sociodemographic and functional limitations will help recognise older adults who are at an increased vulnerability to the severity of PD.
Machine learning predicts response to TNF inhibitors in rheumatoid arthritis: results on the ESPOIR and ABIRISK cohorts
Authors: Bouget Vincent , Duquesne Julien , Hassler Signe , Cournède Paul-Henry , Fautrel Bruno , Guillemin Francis , Pallardy Marc , Broët Philippe , Mariette Xavier , Bitoun Samuel 
Published: August 2022

ObjectivesAround 30% of patients with rheumatoid arthritis (RA) do not respond to tumour necrosis factor inhibitors (TNFi). We aimed to predict patient response to TNFi using machine learning on simple clinical and biological data.MethodsWe used data from the RA ESPOIR cohort to train our models. The endpoints were the EULAR response and the change in Disease Activity Score (DAS28). We compared the performances of multiple models (linear regression, random forest, XGBoost and CatBoost) on the training set and cross-validated them using the area under the receiver operating characteristic curve (AUROC) or the mean squared error. The best model was then evaluated on a replication cohort (ABIRISK).ResultsWe included 161 patients from ESPOIR and 118 patients from ABIRISK. The key selected features were DAS28, lymphocytes, ALT (aspartate aminotransferase), neutrophils, age, weight, and smoking status. When predicting EULAR response, CatBoost achieved the best performances of the four tested models. It reached an AUROC of 0.72 (0.68–0.73) on the train set (ESPOIR). Better results were obtained on the train set when etanercept and monoclonal antibodies were analysed separately. On the test set (ABIRISK), these models respectively achieved on AUROC of 0.70 (0.57–0.82) and 0.71 (0.55–0.86). Two decision thresholds were tested. The first prioritised a high confidence in identifying responders and yielded a confidence up to 90% for predicting response. The second prioritised a high confidence in identifying inadequate responders and yielded a confidence up to 70% for predicting non-response. The change in DAS28 was predicted with an average error of 1.1 DAS28 points.ConclusionThe machine learning models developed allowed predicting patient response to TNFi exclusively using data available in clinical routine.
Competition intensity varies with hardwood species identity and constrains stand-level productivity in southeastern pine–hardwood mixtures compared to loblolly pine monocultures
Authors: Willis John L. , Blazier Michael A. 
Published: August 2022

We examined the performance of sweetgum ( Liquidambar styraciflua L.), cherrybark oak ( Quercus pagoda Raf.), and loblolly pine ( Pinus taeda L.) in two-species pine–hardwood mixtures (sweetgum : loblolly pine and cherrybark oak : loblolly pine) at various planting densities (1482–1976 trees per hectare (TPH)) over 23 years in northern Louisiana, USA. Species were planted in alternating rows with hardwood establishment occurring 1 year prior to loblolly pine. Mixtures were also compared to loblolly pine monocultures at a common density (1482 TPH) to assess whether mixing improved productivity. Sweetgum exerted more competitive pressure on loblolly pine than cherrybark oak. At final measurement, sweetgum survival statistically exceeded that of loblolly pine across mixture density. Moreover, sweetgum cumulative basal area and volume growth nearly tripled that of loblolly pine in balanced high-density mixtures (1976 TPH, 50 pine : 50 hardwood). In contrast, cherrybark oak basal area and volume growth did not significantly exceed loblolly pine at any density. At a common density (1482 TPH), loblolly pine monoculture cumulative basal area and volume significantly exceeded those of mixtures with sweetgum and cherrybark oak by 19% and 24%, respectively. Collectively, these results indicate that growing loblolly pine in mixture with these two species did not produce complementary interactions and negatively affected stand-level growth.
Dynamics of evolving cavity in cluster of stars
Authors: Manzoor Rubab , Mumtaz Saadia , Intizar Daoud 
Published: August 2022

AbstractWe examine the evolution of cavities within spherically symmetric cluster of stars in high curvature gravity. For this purpose, we usef(R) gravity through the Starobinsky model to incorporate dark matter effects in the discussion. In particular, we check the physical significance of thef(R) model by associating it with the observational data of stellar object 4U182030. For evolution of the cavity, we consider the purely areal evolutionary phase by assuming that the proper distance (in a radial direction) among neighboring stars remains constant. The analytical solutions are obtained among which a few solutions fulfill the Darmois conditions. It is found that the evolution of the cavity in a cluster of stars is highly controlled by the influence of dark matter.
The influence of geological structure on chalk karst aquifer function and its consequences for the protection of drinking-water supply; examples from Normandy, France
Authors: Hauchard Emmanuel , Turban Ludovic , Leclerq Emmanuel 
Published: August 2022

Abstract
The implementation of new groundwater tracer tests to the chalky karst plateau of the northwestern end of the Paris Basin, combined with a critical review of previous tracer test investigations, makes it possible to characterize the role of karsts in relation to many structural features. The impact of tectonic structures and lithology on the development and evolution of the karst networks is analysed. The consequences for drinking-water supplies and its protection are examined.
Volcanically-derived deposits and sequences: a unified terminological scheme for application in modern and ancient environments
Authors: Di Capua Andrea , De Rosa Rosanna , Kereszturi Gabor , Le Pera Emilia , Rosi Mauro , Watt Sebastian F. L. 
Published: August 2022

Abstract

The genesis of particles and their transport mechanisms are the two fundamental factors driving the accumulation of sediments associated with volcanism or derived from volcanic sources. These factors are therefore the most important criteria on which to base a useful classification of sediments in such environments. However, the relative significance of the nature of particles v. the transporting mechanism forming a deposit varies in existing terminological schemes: those schemes applied where volcanological contextual information is available tend to give precedence to the transportation process; whereas sedimentological schemes examining ancient deposits tend to focus principally on the nature of particles. Here, we provide an outline of the challenges in classifying volcanically derived sediments and put forward a scheme that aims to bridge current terminological differences and accommodate variable levels of uncertainty. This work defines three endmembers (
primary volcaniclastic
,
secondary volcaniclastic
,
volcanic epiclastic
) that correspond to (a) deposits whose particles are produced, transported and emplaced directly by volcanic mechanisms; (b) deposits whose particles are produced directly by volcanic events but transported and accumulated by non-volcanic mechanisms, either in continuum with the events or after interim storage; (c) deposits whose particles are produced by weathering/erosion of volcanic terrains and transportation of derived material by non-volcanic mechanisms. When the complex combination of genetic and transportation processes accumulating volcaniclastic sequences is not clear, but a strong relationship between an eruptive event and the studied volcaniclastic deposit can still be demonstrated, a further category (
volcanogenic
) has been introduced.
Underground hydrogen storage: a review
Authors: Miocic Johannes , Heinemann Niklas , Edlmann Katriona , Scafidi Jonathan , Molaei Fatemeh , Alcalde Juan 
Published: August 2022

Abstract
Large-scale underground storage of hydrogen gas is expected to play a key role in the energy transition and in near future renewable energy systems. Despite this potential, experience in underground hydrogen storage remains limited. This work critically reviews the most important elements of this crucial technology, including hydrogen properties and their significance for subsurface operations, sources for hydrogen and historical hydrogen storage operations, to set the state of the art. The cyclical nature of hydrogen storage operations will produce pressure and stress changes within the reservoir that could affect the integrity of the well, the reservoir, the caprock and the entire subsurface storage complex. To minimize geomechanical leakage risks and optimize the storage operation it is crucial to understand the pressure and stress history of the storage site, to optimize well locations to manage pressure and to identify the reservoir-specific cushion gas to working gas ratio. Finally, we outline the major scientific and operational challenges required to ensure the safe and efficient deployment of underground hydrogen storage at a large scale.
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks
Authors: Daghero Francesco , Burrello Alessio , Xie Chen , Castellano Marco , Gandolfi Luca , Calimera Andrea , Macii Enrico , Poncino Massimo , Pagliari Daniele Jahier 
Published: August 2022

Human Activity Recognition (HAR) based on inertial data is an increasingly diffused task on embedded devices, from smartphones to ultra low-power sensors. Due to the high computational complexity of deep learning models, most embedded HAR systems are based on simple and not-so-accurate classic machine learning algorithms. This work bridges the gap between on-device HAR and deep learning, proposing a set of efficient one-dimensional Convolutional Neural Networks (CNNs) that can be deployed on general purpose microcontrollers (MCUs). Our CNNs are obtained combining hyper-parameters optimization with sub-byte and mixed-precision quantization, to find good trade-offs between classification results and memory occupation. Moreover, we also leverage adaptive inference as an orthogonal optimization to tune the inference complexity at runtime based on the processed input, hence producing a more flexible HAR system.
With experiments on four datasets, and targeting an ultra-low-power RISC-V MCU, we show that (i) we are able to obtain a rich set of Pareto-optimal CNNs for HAR, spanning more than 1 order of magnitude in terms of memory, latency, and energy consumption; (ii) thanks to adaptive inference, we can derive >20 runtime operating modes starting from a single CNN, differing by up to 10% in classification scores and by more than 3× in inference complexity, with a limited memory overhead; (iii) on three of the four benchmarks, we outperform all previous deep learning methods, while reducing the memory occupation by more than 100×. The few methods that obtain better performance (both shallow and deep) are not compatible with MCU deployment; (iv) all our CNNs are compatible with real-time on-device HAR, achieving an inference latency that ranges between 9 μs and 16 ms. Their memory occupation varies in 0.05–23.17 kB, and their energy consumption in 0.05 and 61.59 μJ, allowing years of continuous operation on a small battery supply.
A Protumorigenic mDia2–MIRO1 Axis Controls Mitochondrial Positioning and Function in Cancer-Associated Fibroblasts
Authors: Cangkrama Michael , Liu Huan , Whipman James , Zubair Maria , Matsushita Mai , Di Filippo Michela , Kopf Manfred , Innocenti Metello , Werner Sabine 
Published: August 2022

Abstract

Cancer-associated fibroblasts (CAF) are key regulators of tumorigenesis. Further insights into the tumor-promoting mechanisms of action of CAFs could help improve cancer diagnosis and treatment. Here we show that the formin mDia2 regulates the positioning and function of mitochondria in dermal fibroblasts, thereby promoting a protumorigenic CAF phenotype. Mechanistically, mDia2 stabilized the mitochondrial trafficking protein MIRO1. Loss of mDia2 or MIRO1 in fibroblasts or CAFs reduced the presence of mitochondria and ATP levels near the plasma membrane and at CAF-tumor cell contact sites, caused metabolic alterations characteristic of mitochondrial dysfunction, and suppressed the secretion of protumorigenic proteins. In mouse models of squamous carcinogenesis, genetic or pharmacologic inhibition of mDia2, MIRO1, or their common upstream regulator activin A inhibited tumor formation. Consistently, co-upregulation of mDia2 and MIRO1 in the stroma of various human cancers negatively correlated with survival. This work unveils a key role of mitochondria in the protumorigenic CAF phenotype and identifies an activin A–mDia2–MIRO1 signaling axis in CAFs with diagnostic and therapeutic potential.

Significance:
Inhibition of mDia2/MIRO1-mediated mitochondrial positioning in CAFs induces mitochondrial dysfunction and suppresses tumor growth, revealing a promising therapeutic strategy to target tumor–stroma cross-talk.
Neural Embedding Allocation: Distributed Representations of Topic Models
Authors: Keya Kamrun Naher , Papanikolaou Yannis , Foulds James R. 
Published: August 2022

Abstract
We propose a method that uses neural embeddings to improve the performance of any given LDA-style topic model. Our method, called neural embedding allocation (NEA), deconstructs topic models (LDA or otherwise) into interpretable vector-space embeddings of words, topics, documents, authors, and so on, by learning neural embeddings to mimic the topic model. We demonstrate that NEA improves coherence scores of the original topic model by smoothing out the noisy topics when the number of topics is large. Furthermore, we show NEA’s effectiveness and generality in deconstructing and smoothing LDA, author-topic models, and the recent mixed membership skip-gram topic model and achieve better performance with the embeddings compared to several state-of-the-art models.
This Woman Is a Father? The Albricani on a Puzzle about Relations
Authors: Hansen Heine 
Published: August 2022

Abstract
Medieval philosophers had a predilection for using the correlative pair father and son as an illustrative example in their discussions of relations. The use of this example has sometimes led to charges of confusion on the grounds that fatherhood and sonship are not proper converses. The present article shows how a group of twelfth-century philosophers from the milieu around the logician Alberic of Paris handled the problems arising from the use of this illustrative example which they had inherited from their ancient and late-ancient predecessors.
COVID-19 Experiences of Stage Performers
Authors: Ertan Cihan , Sarialioğlu Özge 
Published: August 2022

Abstract
This article focuses on the experiences of artistic performers in Turkey from a primarily interactionist theoretical stance and aims to explore how they have been affected by the COVID-19 crisis. The lockdown policies implemented in Turkey have had dire consequences for these performers, exposing them to a new social position of insecurity and uncertainty. They have suffered not only from a lack of economic resources but also of the social interaction that in prior circumstances provided them with the grounds upon which they construct and present their social self. The findings of the study show that the closures of performance spaces fractured the day-to-day routines that would normally provide them with a secure social self since they lacked the ground (the physical stage) through which they have physical interaction with others (their audiences). The narratives in the study demonstrate that not being able to be on-stage endangered the process of the social construction of the self as performers and that they sought new ways of reconstituting the performer-audience interaction in order to ease the negative effects of the pandemic conditions and to secure their selves.
Visitation and Awakening: Cross-Cultural and Functional Parallelisms between the Zoroastrian Srōš and Christian St. Sergius
Authors: Terribili Gianfilippo 
Published: August 2022

Abstract
Similarities between the two celestial entities, the Zoroastrian Srōš (or Sraoša) and the Christian St. Sergius, have occasionally been mentioned in studies on late-antique and medieval Iran. Comparing the Zoroastrian and Syriac Christian traditions, the study will deal with evidence describing a phenomenological complex that includes the manifestation of celestial entities through a revelatory dream or vision and the consequent awakening of the individual consciousness. The parallelisms will be viewed in the perspective of historical and cultural dynamics that characterized the socio-political horizon of the late Sasanian Empire, especially during the reign of Khosrow II Parviz (Husraw II Parvēz). The heterogeneous society of the frontier zone between Rome and Iran determined the development of trans-cultural elements fostering dialogue among different components of the population. This phenomenon, along with the increasing integration of the Christian community in late Sasanian society, favored processes of assimilation and hybridization of narrative motifs connected to the representation of salvific and protective figures extremely popular at that time.
Linguistic and Religious Continuity in Outer Iran
Authors: Ognibene Paolo 
Published: August 2022

Abstract
Classical sources give evidence for the presence of Scythians, Sarmatians, and Alans at different times in the region north of the Black Sea. While not all scholars agree with Abaev’s idea of “strict continuity” in the languages of these peoples, none deny the existence of at least some form of linguistic continuity between them. The aim of this article is to investigate whether we can suppose another form of continuity relating to their religious systems. While we know that Zoroastrianism had not spread to these peoples, can we still find common elements in their religious systems? If so, we can imagine that they resembled one another not only in terms of language and way of life, but also in terms of religious belief.
Ray and Pahlaw in the Context of Sasanian Iran
Authors: Cereti Carlo Giovanni , Mousavi Nia Mehdi , Neʿmati Mohammad Reza 
Published: August 2022

Abstract
Ray—located near present-day Tehran—is among the most important historical areas in Iran and the plains to the south of Tehran have always been densely inhabited and intensely cultivated thanks to the waters coming from Mount Tochal and the Alborz Mountains. Historical records and archeological data for the early history of the city in the Median, Achæmenid, Seleucid, and even Parthian periods are not exhaustive. In the present study, an attempt is made to bring together primary and secondary sources to define better the role that the province of Ray played during the Sasanian period, during which it was host, among others, to a huge military camp crucial to manning the northern and eastern frontier. Combined archeological and historical evidence shows that Ray has played an important and pivotal role in the history of Iran from the first years of the formation of the Sasanian Empire to the very last years of the empire, leaving a lasting memory in the Islamic literary tradition.
Some Observations on Ahriman and his Miscreation in the Bundahišn
Authors: Agostini Domenico 
Published: August 2022

Abstract
The Bundahišn (Primal Creation) is one of the most important surviving Zoroastrian works in Pahlavi Middle Persian. In this book, the evil spirit Ahriman and his demons play a crucial role in the cosmogonic drama from creation until the end of times, according to the well-known Zoroastrian dualistic system. This article describes the forms and the effects of the onslaught of Ahriman and his evil creatures, and how Zoroastrians explained the nature and the presence of evil and its real influence on the good creation and creatures of Ohrmazd as found in the Bundahišn.
A Princess at Work: Historical Knowledge from Inside the Mughal Court
Authors: Kollatz Anna 
Published: August 2022

Abstract
This contribution considers a group of texts that have already been widely used as sources to reconstruct the history of events and for research into the legitimation and representation of power during the Mughal period. Here, however, the texts are read as figurative elements of an intellectual process. Can intertextual narratological analysis be used to draw conclusions about the intellectual contexts in which these texts originated? This article examines two historiographical texts that emerged in close temporal and spatial proximity to each other. Through a narratological case study, it examines the extent to which approaches to historiography and the representation of human – and especially female – agency are consistent or divergent in the Humāyūnnāma by Gulbadan Bīgum and the Akbarnāma by Abū l-Faḍl, who used the former text as a source for his project.
Noncompliant Learning: Diffracting SpaceTimes, Intra-active Ropes, and a Museum’s Roping into the City through a Curious Child
Authors: Sadownik Alicja R. , Bastiansen Gitte , Gabi Josephine 
Published: August 2022

Abstract
In this article, the authors intra-act with Barad’s (2007) conceptual toolkit to examine noncomplaint learning of a ropemaking activity at The Norwegian Fisheries Museum in Bergen. Barad’s concepts of intra-action and diffraction allow us to perceive the rope as noncompliantly diffracting into the two different SpaceTimes of the 19th and 21st centuries. The former SpaceTime is intra-actively constituted by historical ropemaking craftship and the museum staff, and the latter by the children’s approaching the ropemaking through toys and play. In the overlap of the entanglements of the two SpaceTimes, noncompliant and ‘new areas of curiosity’ (Wertsch 2002, p. 123) unfold and continue the rope’s diffraction into the city. By following the intra-active community of Ida and the rope, the authors map entanglements of more-than-human worldings and conclude with a call for more museal diffractions that can (intra-)activate the museum’s relational capacities in the ecology of the city.