bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamic characteristics and deterioration mechanism of coal under distinct initial gas pressure
Authors: Liu Huaiqian , Wang Lei , Zhao Hongbao , Li Shaobo 
Published: September 2023

AbstractAdditional to dynamic and static superimposed loads, gas effects frequently affect coal seams throughout the coal mining process. It is crucial to comprehend coal samples’ mechanical properties and deterioration mechanisms under distinct initial gas pressure conditions. Consequently, the dynamic compression experiment of coal samples was conducted utilizing a self-developed observable combined dynamic and static loading test system of gas-bearing coal (GAS). The mechanical characteristics including failure mode in coal samples under distinct initial gas pressures were studied. Furthermore, the mechanism of gas deteriorated mechanical parameters and aggravated the propagation of cracks when combined with dynamic and static loads was revealed. The conclusions are drawn as follows: The GAS can go through four stages of deformation: elastic stage, elastoplastic stage, plastic stage, and failure stage. Furthermore, the dynamic strength and failure strain deteriorated with increasing gas pressure. Based on computed tomography (CT) technology, it is found that the splitting-spallation composite cracks of impacted samples become more noticeable with rising initial gas pressure, and finally, the two kinds of cracks create a complex reticular crack system. Meanwhile, the crack volume and fractal dimension increase with rising gas pressure, indicating that gas can aggravate the coal’s failure degree. Under combined dynamic and static loads, the deterioration model of mechanical parameters of GAS is obtained, that is, with rising initial gas pressure, the dynamic strength of coal samples reduces and the failure strain rises synchronously. The main reason for the aggravation of compound failure in impacted samples is that the stress intensity factor rises with the rise of gas pressure. These conclusions enrich the basic theories such as the inducing mechanism of dynamic disasters caused by coal-rock-gas compounds and can offer a theoretical foundation for the technology employed in monitoring, early warning, and prevention of dynamic disasters in compounds.
Influence of the filler–matrix adhesion and the effects of conditioning on tensile properties of laser-sintered parts built with polyamide–glass bead dry blends
Authors: Kletetzka Ivo , Kosanke Maren , Meinderink Dennis , Neßlinger Vanessa , Grundmeier Guido , Schmid Hans-Joachim 
Published: September 2023

AbstractIn this work, the influence of the filler–matrix adhesion on the tensile properties of laser-sintered parts built with Polyamide 613 filled with glass beads was investigated. For this purpose, dry blends of glass beads with and without organosilane coupling agents and polyamide powder were prepared and processed into tensile specimens on an EOS P396 laser sintering system. The samples were tested both in the dry state and after an accelerated conditioning in a climate chamber. Furthermore, finite element method (FEM) simulations were performed to model the extreme cases of optimum adhesion and no adhesion. By correlating the tensile tests with the simulation results and by analyzing the fracture surfaces, it was shown that the filler–matrix adhesion is sufficient in the dry state but is strongly degraded by conditioning. Even the presence of various organosilane thin films could not prevent a strong deterioration of the filler–matrix adhesion and the associated deterioration of the mechanical properties. Since a comparison with an injection-molded sample of the same polymer filler combination shows identical behavior after conditioning, it is assumed that this problem is not limited to additively manufactured parts.
Improving autonomous robotic navigation using IFC files
Authors: Gopee Muhammad A. , Prieto Samuel A. , García de Soto Borja 
Published: September 2023

AbstractThe navigation of robotic systems in construction sites often relies on sensor data from the robot. While mapping and navigation protocols such as simultaneous localization and mapping (SLAM) are quite useful for navigation, they often require a preliminary mapping of the site, which is usually done manually. Waypoint generation for certain tasks, such as 3D scanning, cannot be done before obtaining said preliminary map, which can be tedious. Building information model (BIM) files contain rich semantic information about buildings; therefore, it is worth considering an approach where the information in BIM is leveraged to minimize the need for manual preliminary mapping of sites. This study proposes a methodology to get information from BIM—in the form of IFC files—to an autonomous robotic system (ARS) in the form of navigation maps, simulation environments, JSON files with useful semantic information, and proposed waypoints for stop-and-go missions. The schedule element present in IFC is used to generate obstacle maps relevant to the level of construction progress at the time the ARS is deployed. The results are validated with a case study of the entire process from the IFC file input to the waypoint generation for an ARS to complete a 3D reconstruction of an indoor space.
Contingency and Landscape: Basic Considerations on Graphic and Cartographic Representations in Recourse to the Concept of Inverse Landscapes as a Contribution to Deviant Cartographies with Examples on Louisiana
Authors: Kühne Olaf , Berr Karsten , Koegst Lara 
Published: September 2023

AbstractThis paper deals with the possibilities of graphic and cartographic representation of landscapes that are always contingently constituted. The contingency of the representation of landscape is based on the contingency of understandings of landscape, the contingency of methods of (scientific) acquisition of knowledge about landscape, as well as the contingency of forms of representation, with which the present essay deals in a prominent way. If contingency is to be treated graphically and cartographically, this means to question widespread conventions, both regarding the choice of topics, the methodology of obtaining and ordering data, but also with regard to representation. This is—following the neopragmatic basic considerations—to be oriented strongly at the statement goal. Following these basic considerations, we have designed the cartographic representations in a strongly focused manner, graphic representations in parts in a manner borrowed from the comic style of the Ligne Claire. This type of representation is intended to create a meta-deviance that makes it easier for readers to develop contingent interpretations of the world. With our approach we follow neopragmatic basic considerations, which follows a postcritical cartographic perspective, not to seek the separative and discursively exclude the other, but to make other perspectives functionally available through integration, complementarity, and further development.
A Graph Representation Learning Framework Predicting Potential Multivariate Interactions
Authors: Yang Yanlin , Ye Zhonglin , Zhao Haixing , Meng Lei 
Published: September 2023

AbstractLink prediction is a widely adopted method for extracting valuable data insights from graphs, primarily aimed at predicting interactions between two nodes. However, there are not only pairwise interactions but also multivariate interactions in real life. For example, reactions between multiple proteins, multiple compounds, and multiple metabolites cannot be mined effectively using link prediction. A hypergraph is a higher-order network composed of nodes and hyperedges, where hyperedges can be composed of multiple nodes, and can be used to depict multivariate interactions. The interactions between multiple nodes can be predicted by hyperlink prediction methods. Since hyperlink prediction requires predicting the interactions between multiple nodes, it makes the study of hyperlink prediction much more complicated than that of other complex networks, thus resulting in relatively limited attention being devoted to this field. The existing hyperlink prediction can only predict potential hyperlinks in uniform hypergraphs, or need to predict hyperlinks based on the candidate hyperlink sets, or only study hyperlink prediction for undirected hypergraphs. Therefore, a hyperlink prediction framework for predicting multivariate interactions based on graph representation learning is proposed to solve the above problems, and then the framework is extended to directed hyperlink prediction (e.g., directed metabolic reaction networks). Furthermore, any size of hyperedges can be predicted by the proposed hyperlink prediction algorithm framework, whose performance is not affected by the number of nodes or the number of hyperedges. Finally, the proposed framework is applied to both the biological metabolic reaction network and the organic chemical reaction network, and experimental analysis has demonstrated that the hyperlinks can be predicted efficiently by the proposed hyperlink prediction framework with relatively low time complexity, and the prediction performance has been improved by up to 40% compared with the baselines.
Customising hospitals for the future: a perspective focusing on infection prevention and control
Authors: Presterl Elisabeth , Diab-Elschahawi Magda , Lohfert-Praetorius Carolina , Gierlinger Siegfried , Wetzlinger Herwig , Zingg Walter 
Published: September 2023

AbstractProgress in diagnostics, therapy, digitalization and enhanced technology require rethinking on how new hospitals are planned today. Hospital design must support flexibility, effective work processes, capacity for further development, and it must create a safe environment for staff, patients and visitors. This narrative review addresses key aspects of hospital planning with a focus on infection prevention and control. We discuss how separating clean from contaminated and reducing cross-transmission as the main infection prevention and control principles impact on infrastructure, work organization, materialization, and technical solutions of new hospitals.
Quantitative characterization method of 3D roughness of rock mass structural surface considering size effect
Authors: Li Bo , Li Xinjun , Xiao Wei , Cheng Qi , Bao Tan 
Published: September 2023

AbstractThe surface morphology of the structural surface of the rock mass plays a crucial role in determining its macroscopic physical and mechanical properties, including shear strength and seepage characteristics. The morphological characteristics of the rock mass structure exhibit significant anisotropy and size effects. The distribution characteristics of the two key indicators that affect the morphological characteristics of the structure were analyzed, revealing that the undulation degree and undulation angle conform to the normal distribution and Weibull distribution, respectively. The present study defines a method for quantifying the 3D roughness of structural surface based on the features of undulation degree and undulation angle. Through quantitative analysis, it was observed that the roughness parameters exhibit anisotropic characteristics at different sampling intervals and shear directions.
Relationship between human behavior and indoor air quality of private room in a care facility for the elderly in Japan
Authors: Tanaka Nobuyuki , Munaka Tatsuji , Papel Joao Filipe , Hattori Shun-ichi , Iwamatsu Toshiya , Miura Teruhisa , Tsutsumi Fujio 
Published: September 2023

AbstractIn Japan, the number of elderly people in need of nursing care is increasing while the population of young people is decreasing, and the potential for labor shortages in the field of elder care is of great concern. This study aimed to estimate the behavior of the elderly by using sensors to monitor indoor air quality (IAQ), without placing undue burden on the elderly or their caregivers. Odor and carbon dioxide (CO2) concentrations were monitored in a private room of a nursing home in the Kanto Region of Japan, the behaviors of the resident and staff members were recorded, and the relationship between the two was analyzed. Both odor and CO2 concentrations were higher when the resident was present than when absent, indicating that the resident was one of the main sources of indoor odor and CO2. In addition, after the resident entered the room, the CO2 concentration increased and remained stable, whereas the odor concentration tended to vary after the resident entered the room, first increasing and later decreasing. This suggested that the increase or decrease in odor could be used to monitor the behavior of the resident and staff members. The relationship between the slopes of odor and CO2 in typical behavioral events suggest that if only odor increases and CO2 does not change, the likelihood of the event in which feces were observed during diaper changes is high. In addition, based on the behavior near the sensor, the rate of CO2 and odor emissions differed between the elderly resident and the younger staff members, suggesting that the ratio of odor slope to CO2 slope may be greater in the elderly than in younger people. Furthermore, the repeated number of increases and decreases in odor and CO2 suggested that multiple events could be distinguished. These results suggest that IAQ can be utilized to estimate the behavior of residents and staff in nursing care facilities for the elderly.
A rigorous derivation of the Hamiltonian structure for the Vlasov equation
Authors: Miller Joseph K. , Nahmod Andrea R. , Pavlović Nataša , Rosenzweig Matthew , Staffilani Gigliola 
Published: September 2023

Abstract
We consider the Vlasov equation in any spatial dimension, which has long been known [ZI76, Mor80, Gib81, MW82] to be an infinite-dimensional Hamiltonian system whose bracket structure is of Lie–Poisson type. In parallel, it is classical that the Vlasov equation is a mean-field limit for a pairwise interacting Newtonian system. Motivated by this knowledge, we provide a rigorous derivation of the Hamiltonian structure of the Vlasov equation, both the Hamiltonian functional and Poisson bracket, directly from the many-body problem. One may view this work as a classical counterpart to [MNP+20], which provided a rigorous derivation of the Hamiltonian structure of the cubic nonlinear Schrödinger equation from the many-body problem for interacting bosons in a certain infinite particle number limit, the first result of its kind. In particular, our work settles a question of Marsden, Morrison and Weinstein [MMW84] on providing a ‘statistical basis’ for the bracket structure of the Vlasov equation.
The ‘new era in medicine’: John Ryle and the promotion of social medicine
Authors: Stewart John 
Published: September 2023

AbstractJohn A. Ryle was Britain’s first professor of Social Medicine. In the 1930s and 1940s, at the peak of his influence, he was a vigorous proponent of social medicine, then a relatively new, if contested, field. This article examines Ryle’s views and activities under three broad headings: What was social medicine? What were Ryle’s politics? Why prioritise medical education? We conclude with the apparent failure of the social medicine project, at least as envisioned by Ryle.
MINIMALLY DESTRUCTIVE RADIOCARBON DATING OF CAPRINE DUNG
Authors: Fuks Daniel , O’Neill-Munro Niamh , Reimer Paula J , Erickson-Gini Tali , Bar-Oz Guy , Galili Roy , Bucking Scott 
Published: September 2023

ABSTRACTArchaeological dung pellets are time capsules of ancient herbivore diets and gut flora, informing on past agropastoral activity, ecology, and animal health. Improving multi-proxy approaches is key to maximizing this finite archaeological resource. Through experiments with standard pretreatments used in radiocarbon (14C) dating, we address a fundamental problem in maximal multi-proxy analysis: How to chronometrically date individual caprine pellets while conserving as much as possible for additional analyses? We applied acid-alkali-acid (AAA) or acid-only pretreatments to 37 samples of ancient and recent sheep/goat dung pellets from sites in the Negev desert, Israel, measuring weight-loss due to pretreatment. Shavings of outer surfaces and remaining inner pellets of four pairs were dated and compared. We found that (i) sample-specific factors affect pretreatment survivability, including preservation quality and initial sample size; (ii) given sufficient start weight, AAA can be used to pretreat sheep/goat coprolites; (iii) 100 mg appeared a desirable minimum sample weight before pretreatment; and (iv) shavings of coprolites’ outer surface produced 14C dates equivalent to dates obtained from inner coprolites. Whereas standard coprolite analysis protocols discard shavings removed from outer surfaces to avoid contamination, our findings indicate their efficacy for 14C dating. This offers an important addition to workflows for multi-proxy coprolite analysis.
The Passage of Time is Not an Illusion: It's a Projection
Authors: Bardon Adrian 
Published: September 2023

AbstractThis essay aims to review and clarify an emerging consensus among philosophers of time: that belief in the passage of time is not a matter of illusion but rather the result of a variety of cognitive error. I argue that this error is best described in terms of psychological projection, properly understood. A close analysis of varieties of projection reveals how well this phenomenon accounts for belief in dynamic temporal passage and the objective becoming of events. A projectivist account of belief in the passage of time is, in actuality, already predominant in contemporary philosophy of time; but the language of illusion still used by many theorists is hampering recognition of the nature of the solution as well as the recent progress towards consensus.
Coronavirus disease 2019 is associated with long-term depressive symptoms in Spanish older adults with overweight/obesity and metabolic syndrome
Authors: Shyam Sangeetha , Gómez-Martínez Carlos , Paz-Graniel Indira , Gaforio José J. , Martínez-González Miguel Ángel , Corella Dolores , Fitó Montserrat , Martínez J. Alfredo , Alonso-Gómez Ángel M. , Wärnberg Julia , Vioque Jesús , Romaguera Dora , López-Miranda José , Estruch Ramon , Tinahones Francisco J. , Santos-Lozano José Manuel , Serra-Majem J. Luís , Bueno-Cavanillas Aurora , Tur Josep A. , Martín Sánchez Vicente , Pintó Xavier , Ortiz Ramos María , Vidal Josep , Mar Alcarria Maria , Daimiel Lidia , Ros Emilio , Fernandez-Aranda Fernando , Nishi Stephanie K. , García Regata Oscar , Toledo Estefania , Sorli Jose V. , Castañer Olga , Garcia-Rios Antonio , Valls-Enguix Rafael , Perez-Farinos Napoleon , Zulet M. Angeles , Rayó-Gago Elena , Casas Rosa , Rivera-Izquierdo Mario , Tojal-Sierra Lucas , Damas-Fuentes Miguel , Buil-Cosiales Pilar , Fernández-Carrion Rebeca , Goday Albert , Peña-Orihuela Patricia J. , Compañ-Gabucio Laura , Diez-Espino Javier , Tello Susanna , González-Pinto Ana , de la O Víctor , Delgado-Rodríguez Miguel , Babio Nancy , Salas-Salvadó Jordi 
Published: September 2023

AbstractBackgroundThe coronavirus disease 2019 (COVID-19) has serious physiological and psychological consequences. The long-term (>12 weeks post-infection) impact of COVID-19 on mental health, specifically in older adults, is unclear. We longitudinally assessed the association of COVID-19 with depression symptomatology in community-dwelling older adults with metabolic syndrome within the framework of the PREDIMED-Plus cohort.MethodsParticipants (n = 5486) aged 55–75 years were included in this longitudinal cohort. COVID-19 status (positive/negative) determined by tests (e.g. polymerase chain reaction severe acute respiratory syndrome coronavirus 2, IgG) was confirmed via event adjudication (410 cases). Pre- and post-COVID-19 depressive symptomatology was ascertained from annual assessments conducted using a validated 21-item Spanish Beck Depression Inventory-II (BDI-II). Multivariable linear and logistic regression models assessed the association between COVID-19 and depression symptomatology.ResultsCOVID-19 in older adults was associated with higher post-COVID-19 BDI-II scores measured at a median (interquartile range) of 29 (15–40) weeks post-infection [fully adjusted β = 0.65 points, 95% confidence interval (CI) 0.15–1.15; p = 0.011]. This association was particularly prominent in women (β = 1.38 points, 95% CI 0.44–2.33, p = 0.004). COVID-19 was associated with 62% increased odds of elevated depression risk (BDI-II ≥ 14) post-COVID-19 when adjusted for confounders (odds ratio; 95% CI 1.13–2.30, p = 0.008).ConclusionsCOVID-19 was associated with long-term depression risk in older adults with overweight/obesity and metabolic syndrome, particularly in women. Thus, long-term evaluations of the impact of COVID-19 on mental health and preventive public health initiatives are warranted in older adults.
A scoping review of the impact of Food Policy Groups on local food systems in high-income countries
Authors: Godrich Stephanie Louise , Doe Jess , Goodwin Sarah , Alston Laura , Kent Katherine 
Published: September 2023

AbstractThis scoping review aimed to explore international evidence on the impact of Food Policy Groups (FPGs) on local food systems, in urban and rural regions of high-income countries. Peer-reviewed and grey literature were searched to identify thirty-one documents published between 2002 and 2022 providing evidence on the impact of FPGs. Activities spanned domains including increasing food equity (e.g. strengthening school meals programmes); increasing knowledge and/or demand for healthy food (e.g. food literacy programmes with children and adults); increasing food access (e.g. enhancing local food procurement); environmental sustainability (e.g. promoting low-waste food items on café menus); economic development (e.g. ensuring local businesses are not outperformed by large food distributors); and increasing food system resiliency (e.g. establishment of local produce schemes). Most FPGs reported conducting activities that positively influenced multiple food system domains and reported activities in urban areas, and to a lesser extent in rural areas. Our study highlighted a range of qualitative and quantitative evaluation strategies used to measure FPGs’ impact on local food systems. Our recommendations focus on regular and systematic evaluation and research surrounding the impact of FPG activities, to build the evidence base of their impact. Ideally, evaluation would utilise comprehensive and established tools. We recommend exploring the establishment of FPGs across more regions of high-income countries, particularly rural areas, and forming partnerships between FPGs, local government and universities to maximise implementation and evaluation of activities.