bluuebunny/crossref_metadata_2025_split huggingface dataset:
Faster Graph Coloring in Polynomial Space
Authors: Gaspers Serge , Lee Edward J. 
Published: October 2022

AbstractWe present a polynomial-space algorithm that computes the number of independent sets of any input graph in time $$O(1.1389^n)$$

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for graphs with maximum degree 3 and in time $$O(1.2356^n)$$

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for general graphs, where n is the number of vertices in the input graph. Together with the inclusion-exclusion approach of Björklund, Husfeldt, and Koivisto [SIAM J. Comput. 2009], this leads to a faster polynomial-space algorithm for the graph coloring problem with running time $$O(2.2356^n)$$

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as well as an exponential-space $$O(1.2330^n)$$

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time algorithm for counting independent sets. Our main algorithm counts independent sets in graphs with maximum degree at most 3 and no vertex with three neighbors of degree 3. This polynomial-space algorithm is designed and analyzed using the recently introduced Separate, Measure and Conquer approach [Gaspers & Sorkin, ICALP 2015]. Using Wahlström’s compound measure approach, this improvement in running time for small degree graphs is then bootstrapped to larger degrees, giving the improvement for general graphs. Combining both approaches leads to some inflexibility in choosing vertices to branch on for the small-degree cases, which we counter by structural graph properties.
An alternative approach to quadratic scoring rules using continuous-valued logic
Authors: Dombi József , Jónás Tamás 
Published: October 2022

AbstractFollowing tfhe seminal paper of Offerman et al. (2009), in this study, adaptations of constructions of continuous-valued logic to prospect theory are presented. Here, we demonstrate that the so-called kappa function and its special cases are viable alternatives to some elements of quadratic scoring rule prospects theory. After, we present the tau-eta scoring rule prospect and show that it may be treated as a generalization of the quadratic scoring rule prospect. Furthermore, we prove that if this new prospect for an uncertain event is evaluated using specific kappa functions as utility functions, then (1) the weighting measure of the event is a function of the optimal value of its reported probability, (2) the inverse of the latter function, and (3) the (risk-) corrected reported probability of the event, also as a function of the optimal value of its reported probability, all have a common formula. The parameters of the common formula are unambiguously determined by four tuning parameters. Lastly, we show that with our approach, by fitting one of the abovementioned functions to corresponding empirical data, we can immediately obtain the other two functions as well.
Continuum limits of discrete isoperimetric problems and Wulff shapes in lattices and quasicrystal tilings
Authors: Del Nin Giacomo , Petrache Mircea 
Published: October 2022

AbstractWe prove discrete-to-continuum convergence of interaction energies defined on lattices in the Euclidean space (with interactions beyond nearest neighbours) to a crystalline perimeter, and we discuss the possible Wulff shapes obtainable in this way. Exploiting the “multigrid construction” of quasiperiodic tilings (which is an extension of De Bruijn’s “pentagrid” construction of Penrose tilings) we adapt the same techniques to also find the macroscopical homogenized perimeter when we microscopically rescale a given quasiperiodic tiling.
Horizontal penetration of a finite-length intruder in granular materials
Authors: Zhang Ningning , Fuentes Raul 
Published: October 2022

Abstract
In recent years, bio-inspired burrowing robots and other intruder problems in granular media have attracted significant attention. Many of these, especially related to traditional penetration problems in geotechnical engineering, cover vertical penetration. Modelling these types of problems numerically using the discrete element method (DEM) is typically done ignoring gravity by controlling the stresses in the selected representative volume. Additionally, most problems involve infinitely long intruders from a modelling point of view. However, in horizontal penetration there is enough evidence to show that intruders are affected by an uplift force that affects the penetration and needs to be considered. In this paper we use the DEM to demonstrate the impact of considering vertical uplift and gravity for a finite-length intruder penetrating in a dense granular media through particle level and macro-behaviour. Additionally, through the numerical study, important mechanisms emerge during horizontal penetration, including four different distinct stages on the surrounding soil, or the extent of disruption, that are fundamentally distorted when gravity is ignored.

Graphical abstract
Model-driven design space exploration for multi-robot systems in simulation
Authors: Harbin James , Gerasimou Simos , Matragkas Nicholas , Zolotas Thanos , Calinescu Radu , Alpizar Santana Misael 
Published: October 2022

AbstractMulti-robot systems are increasingly deployed to provide services and accomplish missions whose complexity or cost is too high for a single robot to achieve on its own. Although multi-robot systems offer increased reliability via redundancy and enable the execution of more challenging missions, engineering these systems is very complex. This complexity affects not only the architecture modelling of the robotic team but also the modelling and analysis of the collaborative intelligence enabling the team to complete its mission. Existing approaches for the development of multi-robot applications do not provide a systematic mechanism for capturing these aspects and assessing the robustness of multi-robot systems. We address this gap by introducing ATLAS, a novel model-driven approach supporting the systematic design space exploration and robustness analysis of multi-robot systems in simulation. The ATLAS domain-specific language enables modelling the architecture of the robotic team and its mission and facilitates the specification of the team’s intelligence. We evaluate ATLAS and demonstrate its effectiveness in three simulated case studies: a healthcare Turtlebot-based mission and two unmanned underwater vehicle missions developed using the Gazebo/ROS and MOOS-IvP robotic platforms, respectively.
Potential Usefulness of Tracking Head Movement via a Wearable Device for Equilibrium Function Testing at Home
Authors: Yamanobe Yoshiharu , Fujioka Masato , Ohashi Masanao , Ozawa Hiroyuki 
Published: October 2022

AbstractMany studies have reported the use of wearable devices to acquire biological data for the diagnosis and treatment of various diseases. Balance dysfunction, however, is difficult to evaluate in real time because the equilibrium function is conventionally examined using a stabilometer installed on the ground. Here, we used a wearable accelerometer that measures head motion to evaluate balance and examined whether it performs comparably to a conventional stabilometer. We constructed a simplified physical head-feet model that simultaneously records “head” motion measured using an attached wearable accelerometer and center-of-gravity motion at the “feet”, which is measured using an attached stabilometer. Total trajectory length (r = 0.818, p -false discovery rate [FDR] = 0.004) and outer peripheral area (r = 0.691, p -FDR = 0.026) values measured using the wearable device and stabilometer were significantly positively correlated. Root mean square area values were not significantly correlated with wearable device stabilometry but were comparable. These results indicate that wearable, widely available, non-medical devices may be used to assess balance outside the hospital setting, and new approaches for testing balance function should be considered.
Interaction networks from discrete event data by Poisson multivariate mutual information estimation and information flow with applications from gene expression data
Authors: Fish Jeremie , Sun Jie , Bollt Erik 
Published: October 2022

AbstractIn this work, we introduce a new methodology for inferring the interaction structure of discrete valued time series which are Poisson distributed. While most related methods are premised on continuous state stochastic processes, in fact, discrete and counting event oriented stochastic process are natural and common, so called time-point processes. An important application that we focus on here is gene expression, where it is often assumed that the data is generated from a multivariate Poisson distribution. Nonparameteric methods such as the popular k-nearest neighbors are slow converging for discrete processes, and thus data hungry. Now, with the new multi-variate Poisson estimator developed here as the core computational engine, the causation entropy (CSE) principle, together with the associated greedy search algorithm optimal CSE (oCSE) allows us to efficiently infer the true network structure for this class of stochastic processes that were previously not practical. We illustrate the power of our method, first in benchmarking with synthetic datum, and then by inferring the genetic factors network from a breast cancer micro-ribonucleic acid sequence count data set. We show the Poisson oCSE gives the best performance among the tested methods and discovers previously known interactions on the breast cancer data set.
Parental food consumption and diet quality and its association with children’s food consumption in families at high risk of type 2 diabetes: the Feel4Diabetes-study
Authors: Mahmood Lubna , Moreno Luis A , Flores-Barrantes Paloma , Mavrogianni Christina , Schwarz Peter , Makrilakis Konstantinos , Liatis Stavros , Cardon Greet , Willems Ruben , Rurik Imre , Radó Sándorné , Tankova Tsvetalina , Iotova Violeta , Usheva Natalya , Manios Yannis , Gonzalez-Gil Esther M 
Published: October 2022

AbstractObjective:To examine the parental food consumption and diet quality and its associations with children’s consumption in families at high risk for developing type 2 diabetes mellitus across Europe. Also, to compare food frequency consumption among parents and children from high-risk families to the European Dietary guidelines/recommendations.Design:Cross-sectional study using Feel4diabetes FFQ.Setting:Families completed FFQ and anthropometric measures were obtained. Linear regression analyses were applied to investigate the relations between parental food consumption and diet quality and their children’s food consumption after consideration of potential confounders.Participants:2095 European families (74·6 % mothers, 50·9 % girls). The participants included parent and one child, aged 6–8 years.Results:Parental food consumption was significantly associated with children’s intake from the same food groups among boys and girls. Most parents and children showed under-consumption of healthy foods according to the European Dietary Guidelines. Parental diet quality was positively associated with children’s intake of ‘fruit’ (boys: β = 0·233, P < 0·001; girls: β = 0·134, P < 0·05) and ‘vegetables’ (boys: β = 0·177, P < 0·01; girls: β = 0·234, P < 0·001) and inversely associated with their ‘snacks’ consumption (boys: β = –0·143, P < 0·05; girls: β = –0·186, P < 0·01).Conclusion:The present study suggests an association between parental food consumption and diet quality and children’s food intake. More in-depth studies and lifestyle interventions that include both parents and children are therefore recommended for future research.
Kant on Moral Dilemmas
Authors: Hay Carol 
Published: October 2022

AbstractThe standard attribution of ought implies can rules out the possibility of Kantianism permitting the existence of moral dilemmas. Against this, I argue that Kantianism both can and should permit the existence of moral dilemmas. This new take on moral dilemmas should be of particular urgency to those hoping to radicalize Kant, I argue, because the work of oppression theorists shows that moral dilemmas are particularly likely to strike those who are already most vulnerable. The insights of oppression theory also suggest that the heretofore overlooked social and political implications of moral dilemmas are just as philosophically significant as the metaethical and ethical implications.
Property rights rule: comments on Bart Wilson's ‘The primacy of property; Or, the subordination of property rights’
Authors: Murtazashvili Ilia 
Published: October 2022

AbstractBart Wilson argues that property is based on custom, not rights. Wilson (2022) further argues for the primacy of property over property rights. Wilson's research, including the recent book, The Property Species: Mine, Yours, and the Human Mind (2020), is a significant and arguably pathbreaking contribution to the vast literature on property and property rights. It also falls into the trap of economic arguments that unnecessarily devalue legal rights. I ague that we can all agree that ideas about property are always important to understanding property rights but that property rights still rule. This is in part because those who have property typically care most about property rights. I also argue that Wilson's concept of property is too focused on private ownership, rather than shared ownership or even government ownership of property. I suggest that considering the idea of sharing and other legitimate forms of property ownership alongside private ownership would generalize Wilson's constructivist theory of property and improve our ability to explain the diversity of property rights.
Low-cost, compact, and reconfigurable antennas using complementary split-ring resonator metasurface for next-generation communication systems
Authors: Patel Shobhit K. , Lavadiya Sunil P. , Parmar Juveriya , Das Sudipta , Ahmed Kawsar , Taya Sofyan A. 
Published: October 2022

AbstractAn innovative and simple method for attaining broadband frequency reconfigurable antenna structure is presented using low-cost materials and a compact design. The frequency reconfigurability is attained by the “OFF” and “ON” mechanisms of three PIN diodes. Many performance observations are carried out such as reflectance coefficient, bandwidth (BW), resonance frequency, electric field, feed position variation, and gain among different configurations. The suitability of the presented work for the different applications lies in the X frequency band. The resonating frequency for all switch OFF modes is achieved at 13.2 GHz and one switch ON mode at 10.7 GHz. The proposed design yields the frequency tunability behavior over the broadband of 2.5 GHz. The design yields the directivity of 5.58 dB, the minimum reflectance coefficient of −17.27 dB, and a total gain of 3.87 dB. This design offers an electric field of 46 558 v/m, a BW of 340 MHz, and a normalized directivity of 87° using low-cost substrates. The results of the presented design were also fabricated and related to simulated results. Performance observation of the proposed work with previously published research work is also included. The presented design provides the solution of the low-cost, compact, reconfigurable antennas, which can be used for next-generation communication systems.
Benefits of Stochastic Weight Averaging in Developing Neural Network Radiation Scheme for Numerical Weather Prediction
Authors: Song Hwan‐Jin , Roh Soonyoung , Lee Juho , Nam Giung , Yun Eunggu , Yoon Jongmin , Kim Park Sa 
Published: October 2022

AbstractStochastic weight averaging (SWA) was applied to improve the radiation emulator based on a sequential neural network (SNN) in a numerical weather prediction model over Korea. While the SWA has advantages in terms of generalization such as the ensemble model, the computational cost is maintained at the same level as that of a single model. In this study, the performances of both emulators were evaluated under ideal and real case frameworks. Various sensitivity experiments using different sampling ratios, activation functions, hidden layers, and batch sizes were also conducted. The emulators showed a 60‐fold speedup for the radiation processes and 84%–87% reduction of the total computation. In the ideal simulation, compared to the infrequent radiation scheme by 60 times, SNN improved forecast errors by 5.8%–14.1%, and SWA further increased these improvements by 18.2%–26.9%. In the real case simulation, SNN showed 8.8% and 4.7% improvements for longwave and shortwave (SW) fluxes compared to the infrequent method; however, these improvements decreased significantly after 5 days, resulting in 1.8% larger error for skin temperature. By contrast, SWA showed stable 1‐week forecast features with 12.6%, 8.0%, and 4.4% improvements in longwave and SW fluxes, and skin temperature, respectively. Although the use of two hidden layers showed the best performance in this study, it was thought that the optimal number of hidden layers could differ depending on the given problem. Compared to temperature and precipitation observations, all experiments showed a variability of error within 1%, implying that the operational use of the developed emulators is possible.
Nearly Three Centuries of Lava Flow Subsidence at Timanfaya, Lanzarote
Authors: Purcell Victoria , Reddin Eoin , Ebmeier Susanna , González Pablo J. , Watson Andrew , Morishita Yu , Elliott John 
Published: October 2022

AbstractThe 1730–1736 eruption on Lanzarote was one of the most significant volcanic eruptions to occur on the Canary Islands, with lavas covering over 200 km2. Globally, it is volumetrically the third largest known subaerial basaltic fissure eruption in the past 1,100 years. Here we use Sentinel‐1 and ENVISAT interferograms on both ascending and descending orbits to construct a time series of line‐of‐sight surface displacements and calculate linear vertical deformation rates. We resolve a constant subsidence rate of about 6 mm/yr associated with an area of ∼20 km2 within the central and western portion of the Timanfaya lava flows relative to the rest of the island. This is consistent over the 28‐year period (1992–2020) covered by the Sentinel‐1 and ENVISAT data when combined with the previously published European Remote‐Sensing Satellite data. Time series constructed using Sentinel‐1 short interval interferograms have previously been shown to suffer systematic biases and we find that by making longer period interferograms these biases can be mitigated (when compared against an averaged stack of 1‐year interferograms). Cooling‐driven contraction of an intrusion would require improbably large sill thickness to achieve the observed subsidence rates. Our observations are consistent with the cooling of lavas on the order of one hundred meters, twice as thick as previous estimates, which suggests overall lava volume for this eruption may have been underestimated. This is also evidence of the longest duration of lava flow subsidence ever imaged which indicates that these cumulative thick flows can continue to deform significantly even three centuries after emplacement.
Uniformitarian Prediction of Early‐Pleistocene Atmospheric CO2
Authors: Liautaud Parker , Huybers Peter 
Published: October 2022

AbstractDespite recent empirical and modeling advances, atmospheric CO2 concentrations during the early Pleistocene remain uncertain. Using a recently‐developed Bayesian paleoclimate model, an ensemble of seven different CO2 records is inferred conditional on reconstructions of past sea level. Five ensemble members give a consensus prediction that CO2 concentrations averaged 241 ppm (238–245 ppm 95% CI) between 2 and 0.8 Ma. Uncertainty estimates account for contributions from orbital forcing, age uncertainties, and other factors. Our consensus prediction aligns well with a compilation of previously published δ11B‐based CO2 reconstructions after calibration to late‐Pleistocene ice‐core CO2 values, as well as with 60 early‐Pleistocene CO2 measurements from the Allan Hills in East Antarctica. Our consensus prediction can be definitively tested by obtaining continuous ice‐core atmospheric CO2 records that extend into the early Pleistocene.
Projecting Stratocumulus Transitions on the Albedo—Cloud Fraction Relationship Reveals Linearity of Albedo to Droplet Concentrations
Authors: Goren Tom , Feingold Graham , Gryspeerdt Edward , Kazil Jan , Kretzschmar Jan , Jia Hailing , Quaas Johannes 
Published: October 2022

AbstractSatellite images show solid marine stratocumulus cloud decks (Sc) that break up over the remote oceans. The Sc breakup is initiated by precipitation and is accompanied by a strong reduction in the cloud radiative effect. Aerosol has been shown to delay the Sc breakup by postponing the onset of precipitation, however its climatic effect is uncertain. Here we introduce a new approach that allows us to re‐cast currently observed cloud cover and albedo to their counterfactual cleaner world, enabling the first estimate of the radiative effect due to delayed cloud breakup. Using simple radiative approximation, the radiative forcing with respect to pre‐industrial times due to delayed Sc breakup is −0.39 W m−2. The radiative effect changes nearly linearly with aerosol due to the droplet concentration control on the cloud cover, suggesting a potentially accelerated warming if the current trend of reduction in aerosol emissions continues.
S-nitrosylation of CSF1 receptor increases the efficacy of CSF1R blockage against prostate cancer
Authors: Firdaus Fakiha , Kuchakulla Manish , Qureshi Rehana , Dulce Raul Ariel , Soni Yash , Van Booven Derek J. , Shah Khushi , Masterson Thomas , Rosete Omar Joel , Punnen Sanoj , Hare Joshua M. , Ramasamy Ranjith , Arora Himanshu 
Published: October 2022

AbstractSustained oxidative stress in castration-resistant prostate cancer (CRPC) cells potentiates the overall tumor microenvironment (TME). Targeting the TME using colony-stimulating factor 1 receptor (CSF1R) inhibition is a promising therapy for CRPC. However, the therapeutic response to sustained CSF1R inhibition (CSF1Ri) is limited as a monotherapy. We hypothesized that one of the underlying causes for the reduced efficacy of CSF1Ri and increased oxidation in CRPC is the upregulation and uncoupling of endothelial nitric oxide synthase (NOS3). Here we show that in high-grade PCa human specimens, NOS3 abundance positively correlates with CSF1-CSF1R signaling and remains uncoupled. The uncoupling diminishes NOS3 generation of sufficient nitric oxide (NO) required for S-nitrosylation of CSF1R at specific cysteine sites (Cys 224, Cys 278, and Cys 830). Exogenous S-nitrosothiol administration (with S-nitrosoglutathione (GSNO)) induces S-nitrosylation of CSF1R and rescues the excess oxidation in tumor regions, in turn suppressing the tumor-promoting cytokines which are ineffectively suppressed by CSF1R blockade. Together these results suggest that NO administration could act as an effective combinatorial partner with CSF1R blockade against CRPC. In this context, we further show that exogenous NO treatment with GSNOR successfully augments the anti-tumor ability of CSF1Ri to effectively reduce the overall tumor burden, decreases the intratumoral percentage of anti-inflammatory macrophages, myeloid-derived progenitor cells and increases the percentage of pro-inflammatory macrophages, cytotoxic T lymphocytes, and effector T cells, respectively. Together, these findings support the concept that the NO-CSF1Ri combination has the potential to act as a therapeutic agent that restores control over TME, which in turn could improve the outcomes of PCa patients.