bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Dance Identity of the Vlachs of Lailias Village and ITS Transformations Over Three Generations
Authors: Panopoulou Kalliopi 
Published: August 2022

Dealing with the issue of identity—irrespective of any theoretical orientation—means dealing with the issue of difference in relation to the “other” and the social boundaries that define the “cultural stuff” within and between communities (Barth 1969:13; Gefou-Madianou 1999:192). “Cultural stuff can be described as referring, inter alia, to the collective memory, history, and origin of cultural groups (Smith 1991:32). However, social boundaries tend not to be hard and fast or specifically delineated idioms of identity, but flexible and negotiable, according to different socio-political environments and personal interests (Barth 1969; Jenkins 2002:122). Thus, identity is perceived as an open-ended and never-finalized process, always constituted within cultural representations and not irrespective of them (Avdikos 2003:333). Moreover, taking into consideration that
so many of our most tenacious categories of identity are mapped into bodily difference … expanding through a continual slippage of categories to include ethnicity and nationality and even sexuality as well, we should not ignore the ways in which dance signals and enacts social identities in all their continually changing configurations. (Desmond 1997:49)
The powers of silence: Making sense of the non-definition of gender in international criminal law
Authors: Santos de Carvalho Juliana 
Published: August 2022

AbstractSilence has often been studied in international law as a mechanism tied to passivity and oppression. In this study, I propose an exploration of other ontologies of silence by unravelling its possibilities as an active mechanism, namely: (i) a tool for resistance; and (ii) a linguistic device for managing disagreement. For this, I use as an exploratory ground the construction of a non-definition of gender for the crime of persecution in international criminal law (ICL). Analysing the Rome Statute negotiations, I examine how gender-conservative actors successfully opposed the proposal for a non-definition of gender, arguing that such a solution would harm the clarity required by the principle of legality in ICL. By establishing that legal rules must be clear, specific, and cohesive, I argue that the legality principle imposes a burden of speech upon non-state voices in ICL, one that encircles them within a subalternity scheme where speech is demanded but can only be performed or mediated by states. Exploring the negotiations of the Convention on Crimes Against Humanity draft, I examine how the non-definition of gender allowed feminist and queer activists to resist such a burden of speech for the conceptualization of gender. Simultaneously, silence also provided an opportunity for International Law Commission members to propose a draft that avoids cacophony around a contentious term. By reflecting on the active roles of silence, this study contributes to new modes of analysing resistance to dominant modes of legal discourse, as well as exploring dynamics of order(ing) in international law-making.
AVICENNA ON HUMAN SELF-INTELLECTION
Authors: Hennig Boris 
Published: August 2022

AbstractI argue that Avicenna allows for at least one case where we can intellectually grasp a particular individual as such: Each human intellect can intellect itself as numerically this one intellect without relying on any general notion or concept. This is because humans can retain their individuality when separated from their bodies. I discuss passages in which Avicenna appears to affirm and deny that humans can intellect themselves. I conclude that in contrast to the self-awareness that Avicenna showcases in his “floating human” thought experiment, human self-intellection is a rare achievement, and I explain how it differs from the more perfect self-intellection of the divine intellect.
Advanced fellowship training for cardiology fellows in acute care cardiology
Authors: Pater Colleen M. , Wilmot Ivan , Russell Jennifer L. , Madsen Nicolas L. 
Published: August 2022

AbstractHospitalised children have become more medically complex and increasingly require specialised teams and units properly equipped to care for them. Within paediatric cardiology, this trend, which is well demonstrated by the expansion of cardiology-specific ICUs, has more recently led to the development of acute care cardiology units to deliver team-based and condition-focused inpatient care. These care teams are now led by paediatric cardiologists with particular investment in the acute care cardiology environment. Herein, we describe the foundation and development of an Acute Care Cardiology Advanced Training Fellowship to meet the clinical, scholarly, and leadership training needs of this emerging care environment.
Prebiotic decluttering: the thermodynamic tail-wind to asymmetric autocatalysis
Authors: Perović Slobodan 
Published: August 2022

AbstractI outline a general thermodynamic condition for the earliest steps in the origin of life based on fluctuation theorems developed in the last two decades. I argue that the exponentially developing loop of asymmetric autocatalysis and thermodynamic tail-wind condition (TTC) in the prebiotic clutter was a key to a particular trajectory of decluttering via a sequence of early symmetry breaking events. Such decluttering was bound to result, most prominently, in homochiral amino acids and homochiral sugars composing nucleotides as the TTC exponentially favoured asymmetric autocatalytic processes over catalytic and symmetric autocatalytic processes in the clutter. I describe the loop's structure, including its chemical and physical properties, and explain that the TTC/asymmetric autocatalysis loop intersected with multiple chemical, geological and climatological feedback loops, thus providing conditions for the propagation of living systems as we know them.
Crossing the Boundaries: How Key Advancements in Understanding of Headland Sediment Bypassing Improves Definition of Littoral Cells
Authors: George Douglas A. , Castelle Bruno , Mulligan Ryan P. 
Published: August 2022

AbstractHeadland sediment bypassing connects short‐term physical forcing and long‐term morphological response. The contributions from King et al., 2021, https://doi.org/10.1029/2020JC017053 are a substantial step in understanding the complexities by combining field observations, process‐based numerical modeling, and empirical generalization with the development of an improved parametrization of headland sediment bypassing. This study adds to the growing body of knowledge about littoral cell boundaries, or as proposed in this commentary, littoral cells that respond to varying wave energy and water levels that may influence the results from shoreline change models. Evolution of the shoreline in the context of climate change can be better understood by considering variability in littoral cell boundaries.
Megathrust Shear Modulated by Albite Metasomatism in Subduction Mélanges
Authors: Ujiie Kohtaro , Noro Kazuya , Shigematsu Norio , Fagereng Åke , Nishiyama Naoki , Tulley Christopher J. , Masuyama Haruna , Mori Yasushi , Kagi Hiroyuki 
Published: August 2022

AbstractAseismic megathrust slip downdip of the seismogenic zone is accommodated by either steady creep or episodic slow slip events (SSEs). However, the geological conditions defining the rheology of megathrust slip remain elusive. We examined exhumed subduction mélanges on Kyushu, Japan, which deformed at ∼370–500°C under greenschist to epidote‐amphibolite facies conditions, comparable to warm‐slab environments. The mélanges recorded fluid release and viscous shear localization associated with metasomatic reactions between juxtaposed metapelitic and metabasaltic rocks. Metasomatic reactions caused albitization of metapelite, resulting in depth‐dependent changes to megathrust rheology. In a mélange deformed at ∼370°C, very fine grained reaction products (metasomatic albite) facilitated grain boundary diffusion creep at stresses of ∼45 MPa, less than those in the surrounding metabasalt. Mineralogical and chemical changes during metasomatic reactions, and their field content, imply an onset of albite metasomatism at ∼350°C. Albite metasomatism therefore potentially contributed to decreased megathrust strength around the inferred thermally controlled base of the seismogenic zone. In a mélange deformed near the mantle wedge corner at ∼500°C, metasomatic reactions promoted local quartz vein formation and localized viscous shear at slow slip strain rates, during which the coarse‐grained metasomatic albite behaved as relatively rigid blocks in a viscous matrix. We suggest that albite metasomatism can facilitate changes in a megathrust slip mode with depth and may explain why slip mode changes from creep to SSEs with tremor with increasing depth.
A Database of MMS Bow Shock Crossings Compiled Using Machine Learning
Authors: Lalti A. , Khotyaintsev Yu. V. , Dimmock A. P. , Johlander A. , Graham D. B. , Olshevsky V. 
Published: August 2022

AbstractIdentifying collisionless shock crossings in data sent from spacecraft has so far been done manually or using basic algorithms. It is a tedious job that shock physicists have to go through if they want to conduct case studies or perform statistical studies. We use a machine learning approach to automatically identify shock crossings from the Magnetospheric Multiscale (MMS) spacecraft. We compiled a database of 2,797 shock crossings, spanning a period from October 2015 to December 2020, including various spacecraft‐related and shock‐related parameters for each event. Furthermore, we show that the shock crossings in the database are spread out in space, from the subsolar point to the far flanks. On top of that, we show that they cover a wide range of parameter space. We also present a possible scientific application of the database by looking for correlations between ion acceleration efficiency at shocks with different shock parameters, such as the angle between the upstream magnetic field and the shock normal θBn and the Alfvénic Mach number MA. We find no clear correlation between the acceleration efficiency and MA; however, we find that quasi‐parallel shocks are more efficient at accelerating ions than quasi‐perpendicular shocks.
Improved Boundary Conditions for Coupled Geospace Models: An Application in Modeling Spacecraft Surface Charging Environment
Authors: Yu Yiqun , Su Shengjun , Cao Jinbin , Jordanova Vania K. , Denton Michael H. 
Published: August 2022

AbstractSpacecraft surface charging in the inner magnetosphere often occurs in the pre‐midnight to the dawn sector when electron fluxes of tens of keV increase. Inner magnetosphere ring current models can be used to simulate/predict the spacecraft surface charging environment, with their outer boundary conditions specified either based on observations or provided by other models, such as MHD models. In the latter approach, using MHD quantities, the flux spectrum at the outer boundary is commonly assumed to follow a Kappa or Maxwellian distribution function. Such a method however often departs greatly from the realistic spectrum at E < tens of keV, a crucial energy range in the surface charging anomaly. In order to achieve a better representation of the surface charging environment, we propose to combine the MHD‐parameterized flux spectrum with an empirical electron flux model of E < 40 keV to set the electron flux boundary condition. Results indicate that as opposed to the case where the MHD‐parameterized flux distribution is solely used at the model boundary, simulations with the new boundary condition yields a more intense surface charging environment. The integrated electron flux between 10 < E < 50 keV, a measure of the severity of the surface charging environment, is significantly enhanced by 1‐2 orders of magnitude, leading to a much better agreement with Van Allen Probes measurements. This study hence demonstrates a reasonable solution to the setting of outer boundary conditions for inner magnetosphere models and is recommended for coupled geospace circulation models.
Acceptability of a Brief, Intensive Adolescent Obesity Intervention With Wellness Coaching
Authors: Biggs Bridget K. , Vickers Kristin S. , Hathaway Julie C. , Hofschulte Deanna R. , Clark Matthew M. , Mapes Melissa D. , Murad Angela L. , Peterson Nolan W. , Prigge Bradly , Kumar Seema , Cunningham Megan L. , Hensrud Donald D. 
Published: August 2022

Objective: This report describes data regarding the acceptability of delivering a family-based behavioral lifestyle intervention for adolescent obesity in a brief, intensive onsite program (initial 3 sequential days + 1 follow-up day) combined with telephonic wellness coaching (WC). Methods: Four cohorts consisting of 7 adolescents aged 15–17 years (self-identifying as 4 male, 2 female, 1 transgender male; 6 White, 1 African American and White) and thirteen parents participated in a new clinical intervention consisting of 3 days onsite programming, 3-months telephonic wellness coaching, and 1 day onsite follow up. Enrollment, attendance, and retention were recorded. Participants provided quantitative and qualitative feedback regarding acceptability of the program during postintervention interviews. Results: Of 11 families invited, 8 enrolled. Seven families participated, with 1 family lost to follow up. Adolescents completed an average 5.6/9 planned WC sessions. Adolescents rated the program positively overall and liked experiential sessions best. However, participants reported the onsite program was too long, they encountered barriers to sustained engagement during wellness coaching follow up, and parents desired greater guidance and structure for their involvement. Conclusions: Combining in-person sessions with telephonic wellness coaching was acceptable to participants, but intervention refinement is needed. Future program development and research investigating hybrid models should consist of briefer in-person sessions, emphasize skill practice, and include ongoing guidance to parents to provide developmentally appropriate support. Implications for Impact Statement This new clinical program evaluation found that extending onsite family-based behavioral lifestyle intervention for adolescent obesity with telephonic wellness coaching was acceptable to participants, but that program refinement is needed. Feedback highlighted the importance of keeping onsite sessions brief, engaging adolescents with hands-on skill practice, and providing ongoing guidance to parents to support sustained adolescent engagement in behavior change.
A multichannel optical computing architecture for advanced machine vision
Authors: Xu Zhihao , Yuan Xiaoyun , Zhou Tiankuang , Fang Lu 
Published: August 2022

AbstractEndowed with the superior computing speed and energy efficiency, optical neural networks (ONNs) have attracted ever-growing attention in recent years. Existing optical computing architectures are mainly single-channel due to the lack of advanced optical connection and interaction operators, solving simple tasks such as hand-written digit classification, saliency detection, etc. The limited computing capacity and scalability of single-channel ONNs restrict the optical implementation of advanced machine vision. Herein, we develop Monet: a multichannel optical neural network architecture for a universal multiple-input multiple-channel optical computing based on a novel projection-interference-prediction framework where the inter- and intra- channel connections are mapped to optical interference and diffraction. In our Monet, optical interference patterns are generated by projecting and interfering the multichannel inputs in a shared domain. These patterns encoding the correspondences together with feature embeddings are iteratively produced through the projection-interference process to predict the final output optically. For the first time, Monet validates that multichannel processing properties can be optically implemented with high-efficiency, enabling real-world intelligent multichannel-processing tasks solved via optical computing, including 3D/motion detections. Extensive experiments on different scenarios demonstrate the effectiveness of Monet in handling advanced machine vision tasks with comparative accuracy as the electronic counterparts yet achieving a ten-fold improvement in computing efficiency. For intelligent computing, the trends of dealing with real-world advanced tasks are irreversible. Breaking the capacity and scalability limitations of single-channel ONN and further exploring the multichannel processing potential of wave optics, we anticipate that the proposed technique will accelerate the development of more powerful optical AI as critical support for modern advanced machine vision.
Digital phenotyping of generalized anxiety disorder: using artificial intelligence to accurately predict symptom severity using wearable sensors in daily life
Authors: Jacobson Nicholas C. , Feng Brandon 
Published: August 2022

Abstract
Background
Generalized anxiety disorder (GAD) is a highly prevalent condition. Monitoring GAD symptoms requires substantial time, effort, and cost. The development of digital phenotypes of GAD may enable new scalable, timely, and inexpensive assessments of GAD symptoms.

Method
The current study used passive movement data collected within a large national cohort (N = 264) to assess GAD symptom severity.

Results
Using one week of movement data, machine learning models accurately predicted GAD symptoms across a continuum (r = 0.511) and accurately detected those individuals with elevated GAD symptoms (AUC = 0.892, 70.0% Sensitivity, 95.5% Specificity, Brier Score = 0.092). Those with a risk score at the 90th percentile or above had 21 times the odds of having elevated GAD symptoms compared to those with lower risk scores. The risk score was most strongly associated with irritability, worry controllability, and restlessness (individual rs > 0.5). The risk scores for GAD were also discriminant of major depressive disorder symptom severity (r = 0.190).

Limitations
The current study examined the detection of GAD symptom severity rather than the prediction of GAD symptom severity across time. Furthermore, the instant sample of data did not include nighttime actigraphy, as participants were not asked to wear the actigraphs at night.

Conclusions
These results suggest that artificial intelligence can effectively utilize wearable movement data collected in daily life to accurately infer risk of GAD symptoms.
Whole transcriptome and proteome analyses identify potential targets and mechanisms underlying tumor treating fields against glioblastoma
Authors: Xu Shengchao , Luo Chengke , Chen Dikang , Tang Lu , Chen Ling , Liu Zhixiong 
Published: August 2022

AbstractGlioblastoma (GBM) is one of the most malignant types of brain cancer. Tumor treating fields (TTFields) is the up-to-date treatment for GBM. However, its molecular mechanism requires additional investigation. Herein, a novel TTFields system was developed (CL-301A) and its efficiency in suppressing GBM cell proliferation and inducing cell apoptosis was demonstrated. Through the whole proteomic and transcriptomic analyses, a multitude of differentially expressed proteins (1243), mRNAs (4191), miRtNAs (47), lncRNAs (4286), and circRNAs (13,903) were identified. Bioinformatic analysis indicated that TTFields mainly affected nuclear proteins and interrupt cell mitosis-related events. Moreover, the inhibition of autophagy could significantly enhance the anti-GBM activity of TTFields. And CDK2-AS1 might be a target of TTFields to mediate cell cycle arrest via regulating CDK2 mRNA stability. This study provided valuable resources for understanding the mechanism of TTFields, which might further assist the investigation of TTFields in GBM treatment.
Multiomics characterization implicates PTK7 in ovarian cancer EMT and cell plasticity and offers strategies for therapeutic intervention
Authors: Raivola Juuli , Dini Alice , Karvonen Hanna , Piki Emilia , Salokas Kari , Niininen Wilhelmiina , Kaleva Laura , Zhang Kaiyang , Arjama Mariliina , Gudoityte Greta , Seashore-Ludlow Brinton , Varjosalo Markku , Kallioniemi Olli , Hautaniemi Sampsa , Murumägi Astrid , Ungureanu Daniela 
Published: August 2022

AbstractMost patients with ovarian cancer (OC) are diagnosed at a late stage when there are very few therapeutic options and a poor prognosis. This is due to the lack of clearly defined underlying mechanisms or an oncogenic addiction that can be targeted pharmacologically, unlike other types of cancer. Here, we identified protein tyrosine kinase 7 (PTK7) as a potential new therapeutic target in OC following a multiomics approach using genetic and pharmacological interventions. We performed proteomics analyses upon PTK7 knockdown in OC cells and identified novel downstream effectors such as synuclein-γ (SNCG), SALL2, and PP1γ, and these findings were corroborated in ex vivo primary samples using PTK7 monoclonal antibody cofetuzumab. Our phosphoproteomics analyses demonstrated that PTK7 modulates cell adhesion and Rho-GTPase signaling to sustain epithelial-mesenchymal transition (EMT) and cell plasticity, which was confirmed by high-content image analysis of 3D models. Furthermore, using high-throughput drug sensitivity testing (525 drugs) we show that targeting PTK7 exhibited synergistic activity with chemotherapeutic agent paclitaxel, CHK1/2 inhibitor prexasertib, and PLK1 inhibitor GSK461364, among others, in OC cells and ex vivo primary samples. Taken together, our study provides unique insight into the function of PTK7, which helps to define its role in mediating aberrant Wnt signaling in ovarian cancer.
Rubisco forms a lattice inside alpha-carboxysomes
Authors: Metskas Lauren Ann , Ortega Davi , Oltrogge Luke M. , Blikstad Cecilia , Lovejoy Derik R. , Laughlin Thomas G. , Savage David F. , Jensen Grant J. 
Published: August 2022

AbstractDespite the importance of microcompartments in prokaryotic biology and bioengineering, structural heterogeneity has prevented a complete understanding of their architecture, ultrastructure, and spatial organization. Here, we employ cryo-electron tomography to image α-carboxysomes, a pseudo-icosahedral microcompartment responsible for carbon fixation. We have solved a high-resolution subtomogram average of the Rubisco cargo inside the carboxysome, and determined the arrangement of the enzyme. We find that the H. neapolitanus Rubisco polymerizes in vivo, mediated by the small Rubisco subunit. These fibrils can further pack to form a lattice with six-fold pseudo-symmetry. This arrangement preserves freedom of motion and accessibility around the Rubisco active site and the binding sites for two other carboxysome proteins, CsoSCA (a carbonic anhydrase) and the disordered CsoS2, even at Rubisco concentrations exceeding 800 μM. This characterization of Rubisco cargo inside the α-carboxysome provides insight into the balance between order and disorder in microcompartment organization.