bluuebunny/crossref_metadata_2025_split huggingface dataset:
LatticeNet: fast spatio-temporal point cloud segmentation using permutohedral lattices
Authors: Rosu Radu Alexandru , Schütt Peer , Quenzel Jan , Behnke Sven 
Published: October 2021

AbstractDeep convolutional neural networks have shown outstanding performance in the task of semantically segmenting images. Applying the same methods on 3D data still poses challenges due to the heavy memory requirements and the lack of structured data. Here, we propose LatticeNet, a novel approach for 3D semantic segmentation, which takes raw point clouds as input. A PointNet describes the local geometry which we embed into a sparse permutohedral lattice. The lattice allows for fast convolutions while keeping a low memory footprint. Further, we introduce DeformSlice, a novel learned data-dependent interpolation for projecting lattice features back onto the point cloud. We present results of 3D segmentation on multiple datasets where our method achieves state-of-the-art performance. We also extend and evaluate our network for instance and dynamic object segmentation.
Tuned-mass-damper-inerter optimal design and performance assessment for multi-storey hysteretic buildings under seismic excitation
Authors: Patsialis D. , Taflanidis A. A. , Giaralis A. 
Published: October 2021

AbstractInerter-based vibration absorbers (IVAs), such as the tuned-mass-damper-inerter (TMDI), have become popular in recent years for the earthquake protection of building structures. Previous studies using linear structural models have shown that IVAs can achieve enhanced vibration suppression, but at the expense of increased control forces exerted from the IVA to the host building structure. The authors recently developed a bi-objective IVA design framework for linearly behaving buildings to balance between structural performance (drift/acceleration suppression) and IVA forces. This paper extends the framework to multi-storey hysteretic/yielding structures under seismic excitation. Though the proposed design framework can accommodate any type of IVA, the focus is herein on TMDI applications, with tuned-mass-damper (TMD) and tuned-inerter-damper (TID) treated as special cases of the TMDI. Earthquake hazard is modeled through representative, design-level acceleration time-histories and response of the IVA-equipped structure is evaluated through nonlinear response-history analysis. A high-fidelity finite element model (FEM) is established to accurately describe hysteretic structural behavior. To reduce the computational burden, a reduced order model (ROM) is based on the original FEM, using the framework proposed recently by the first and second authors. The ROM maintains the accuracy of the original FEM while enabling for a computationally efficient solution to the optimization problem. As an illustrative example, the bi-objective design for different IVA placements along the height of a non-linear benchmark 9-storey steel frame structure is examined. The accuracy of the ROM-based design is evaluated by comparing performance to the FEM-based response predictions across the entire Pareto front resulting from the bi-objective optimization. Then, the designs and associated performance predicted by using a linear or a nonlinear structural model are compared to evaluate how the explicit consideration of nonlinearities, as well as the degree of nonlinear behavior, impact the IVA design and efficiency.
A Spatial Dynamic Model for Export Intensity of Hazardous Industrial Waste: The Incentive Effect of Regional Environmental Policies
Authors: Vallés-Giménez Jaime , Zárate-Marco Anabel 
Published: October 2021

AbstractThis paper analyses, in the context of the Environmental Kuznet Curve, the determinants of export intensity of hazardous industrial waste among Spanish regions, with particular attention to the influence of waste taxes and of environmental policies. This study is carried out for the first time in the literature with a spatial dynamic model, fixed effects and panel data for the 17 regions (Comunidades Autónomas) of Spain during the period 2007–2017. The results suggest there is a spatial-dynamic component to export intensity, and that both regional taxes on waste disposal and environmental policy stringency appear to encourage, albeit modestly, the rate of exported waste to other regions. The model also shows that the more regions recycle, and the greater the economies of scale arising from industrial agglomeration, the lower is the region’s waste export intensity, although increasing restrictions on the international trade in hazardous waste have intensified trading inside the country. Finally, the results suggest a non-linear relationship between growth and export intensity, although apparently we are still far from the absolute decoupling of the Environmental Kuznet Curve.
Household Preferences for Investing in Crowdfunding
Authors: Ciobotaru Laurentiu-Cristian , Kim Sul , van Soest Arthur 
Published: October 2021

AbstractUsing representative survey data on the Dutch population, we analyze households’ actual participation and stated preferences for crowdfunding involvement at the extensive and intensive margin, with emphasis on the relation with investing in socially responsible assets. We find that crowdfunding investors are higher educated and more future oriented than others, whereas risk aversion plays a negative but insignificant role. Financial literacy is positively associated with knowing about crowdfunding, but not with actual participation. A stated choice preference experiment largely confirms these relations. At the intensive margin, however, results are rather different: Women have a stronger preference for crowdfunding than men do. Financial literacy reduces the preferred share invested in crowdfunding. We find a strong positive relation between crowdfunding and socially responsible investing. We identify several common factors: a desire to contribute to improving society and a lack of confidence in traditional financial institutions. Comparing stated and revealed preferences, we find that the potential for attracting more crowdfunding funders is much smaller than for attracting socially responsible investors.
A Correlation Based Recommendation System for Large Data Sets
Authors: Pandove Divya , Malhi Avleen 
Published: October 2021

AbstractCorrelation determination brings out relationships in data that had not been seen before and it is imperative to successfully use the power of correlations for data mining. In this paper, we have used the concepts of correlations to cluster data, and merged it with recommendation algorithms. We have proposed two correlation clustering algorithms (RBACC and LGBACC), that are based on finding Spearman’s rank correlation coefficient among data points, and using dimensionality reduction approach (PCA) along with graph theory respectively, to produce high quality hierarchical clusters. Both these algorithms have been tested on real life data (New York yellow cabs dataset taken fromhttp://www.nyc.gov), using distributed and parallel computing (Spark and R). They are found to be scalable and perform better than the existing hierarchical clustering algorithms. These two approaches have been used to replace similarity measures in recommendation algorithms and generate a correlation clustering based recommendation system model. We have combined the power of correlation analysis with that of prediction analysis to propose a better recommendation system. It is found that this model makes better quality recommendations as compared to the random recommendation model. This model has been validated using a real time, large data set (MovieLens dataset, taken fromhttp://grouplens.org/datasets/movielens/latest). The results show that combining correlated points with the predictive power of recommendation algorithms, produce better quality recommendations which are faster to compute. LGBACC has approximately 25% better prediction capability but at the same time takes significantly more prediction time compared to RBACC.
Response of root development and nutrient uptake of two chinese cultivars of hybrid rice to nitrogen and phosphorus fertilization in Sichuan Province, China
Authors: Yang Guotao , Nabi Farhan , Sajid Sumbal , Kaleri Abdul Rasheed , Jakhar Ali Murad , Cheng Liang , Raspor Martin , Muhammad Noor , Ma Jun , Hu Yungao 
Published: October 2021

Abstract
Background
Chemical fertilization helped modern agriculture in grain yield improvement to ensure food security. The response of chemical fertilization for higher hybrid rice production is highly dependent on optimal fertilization management in paddy fields. To assess such responses, in the current work we examine the yield, root growth, and expression of related genes responsible for stress metabolism of nitrogen (N) and phosphorus (P) in two hybrid-rice cultivars Deyou4727 (D47) and Yixiangyou2115 (Y21).

Methods and results
The experiment followed four nitrogen (N) (N0, N60, N120, and N180 kg/ha) and phosphorus (P) (P0, P60, P90, and P120 kg/ha) fertilizer levels. The grain yield in D47 was more sensitive to nitrogen application, while Y21 was more sensitive to phosphorus application, which resulted in comparatively higher biomass and yield. Our findings were corroborated by gene expression studies of glutamine synthetase OsGS1;1 and OsGS1;2 and phosphate starvation-related genes PHR1 and SPX, confirming sensitivity to N and P application. The number of roots was less sensitive to nitrogen application in D47 between N0 and N60, but the overall nutrient response difference was significantly higher due to the deep rooting system as compared to Y21.

Conclusions
The higher yield, high N and P use efficiency, and versatile root growth of D47 make it suitable to reduce unproductive usage of N and P from paddy fields, improving hybrid rice productivity, and environmental safety in the Sichuan basin area of China.
Rationality in games and institutions
Authors: van Basshuysen Philippe 
Published: October 2021

AbstractAgainst the orthodox view of the Nash equilibrium as “the embodiment of the idea that economic agents are rational” (Aumann, 1985, p 43), some theorists have proposed ‘non-classical’ concepts of rationality in games, arguing that rational agents should be capable of improving upon inefficient equilibrium outcomes. This paper considers some implications of these proposals for economic theory, by focusing on institutional design. I argue that revisionist concepts of rationality conflict with the constraint that institutions should be designed to be incentive-compatible, that is, that they should implement social goals in equilibrium. To resolve this conflict, proponents of revisionist concepts face a choice between three options: (1) reject incentive compatibility as a general constraint, (2) deny that individuals interacting through the designed institutions are rational, or (3) accept that their concepts do not cover institutional design. I critically discuss these options and I argue that a more inclusive concept of rationality, e.g. the one provided by Robert Sugden’s version of team reasoning, holds the most promise for the non-classical project, yielding a novel argument for incentive compatibility as a general constraint.
Japanese subgroup analysis of the phase 3 MONARCH 3 study of abemaciclib as initial therapy for patients with hormone receptor-positive, human epidermal growth factor receptor 2-negative advanced breast cancer
Authors: Takahashi Masato , Tokunaga Eriko , Mori Joji , Tanizawa Yoshinori , van der Walt Jan-Stefan , Kawaguchi Tsutomu , Goetz Matthew P. , Toi Masakazu 
Published: October 2021

Abstract
Background
This was a Japanese subpopulation analysis of MONARCH 3, a randomized, double-blind, placebo-controlled phase 3 study of abemaciclib plus nonsteroidal aromatase inhibitors (NSAIs) for initial therapy for advanced breast cancer (ABC).

Methods
Eligibility included postmenopausal women with hormone receptor-positive, human epidermal growth factor receptor 2-negative ABC who had no prior systemic therapy in the advanced disease setting. Patients (N = 493) were randomized 2:1 to receive abemaciclib or placebo (150 mg) plus either 1 mg anastrozole or 2.5 mg letrozole (physician’s choice). The primary endpoint was progression-free survival (PFS). Secondary endpoints included objective response rate (ORR), pharmacokinetics (PK), safety, and health-related quality of life (HRQoL).

Results
In Japan, 53 patients were randomized (abemaciclib, n = 38; placebo, n = 15). At final PFS analysis (November 3, 2017), median PFS was 29.1 and 14.9 months in the abemaciclib and placebo groups, respectively (hazard ratio 0.537; 95% confidence interval 0.224–1.289). ORR in measurable disease was 62.1 and 50.0% in the abemaciclib and placebo groups, respectively. The Japanese PK profile was comparable to that of the overall population. Consistent with prior studies, the most frequent adverse events reported were diarrhea (abemaciclib: any grade, 94.7%; grade ≥ 3, 10.5%; placebo: any grade, 46.7%; grade ≥ 3, 0%) and neutropenia (abemaciclib: any grade, 68.4%; grade ≥ 3, 21.1%; placebo: any grade, 0%). HRQoL outcomes were generally similar between treatments except for the diarrhea score, which favored placebo.

Conclusions
Consistent with findings in the overall population, abemaciclib plus NSAI was an effective initial treatment in the Japanese subpopulation, with a manageable safety profile.

Clinical trial registration
NCT02246621; U.S. National Library of Medicine: https://clinicaltrials.gov/ct2/show/NCT02246621.
Comparison of short-time functional outcomes after TKA between Multigen Plus CR and Physica KR prostheses
Authors: Lisý P. , Čabala J. , Hrubina M. , Melišík M. , Nečas L. 
Published: October 2021

AbstractBackgroundAim of this study was to compare functional results within 36 months following primary total knee arthroplasty (TKA) using a conventional prosthesis Multigen Plus CR and a new Physica KR implant. Our hypothesis was that the use of the Kinematics-Retaining design of an TKA implant leads to a significantly greater improvement in the active range of motion and better functional results (KSS 1, KSS 2 and WOMAC score) than the conventional CR implant at short-term follow-up.Materials and methodsWe retrospectively analysed data of 234 patients who underwent primary TKA at our hospital from April 2010 to August 2015 with the CR type of implant and from July 2014 to August 2015 with the KR implant due to advanced knee arthrosis of IIIrd and IVth grade of Kellgren-Lawrence classification, with no major ligamentous instability. Western Ontario McMaster Universities Osteoarthritis Index (WOMAC) questionnaire, Knee Society Scores 1 (KSS 1) and 2 (KSS 2) and flexion (AROM) were recorded preoperatively and at 6, 12 and 36 months after surgery.ResultsOur study showed a statistically significant difference in functional results at three years with better KSS 1 score, a tendency to higher values in the KSS 2 score, as well as a statistically significant overall improvement in AROM in favour of the new KR design over the conventional CR implant with a post-hoc power analysis of 83.8%. We found that there was no statistically significant difference between groups when comparing WOMAC score and complications at short-term follow-up.ConclusionsOur study provided more favourable clinical results for using Kinematics-Retaining implant in primary TKA. Further studies should focus on radiological and functional outcomes from mid- to long-term follow-up.
Bias and potential misinterpretations in the analysis of insects collected from human remains of archaeological interest
Authors: Vanin Stefano , Azzoni Morgan , Giordani Giorgia , Belcastro Maria Giovanna 
Published: October 2021

AbstractInsects collected from human remains are an important source of information about the peri- and postmortem events and they are the object of attention of two disciplines. Forensic entomology deals with insects collected from remains of forensic interest and funerary archaeoentomology with insects from archaeological contexts. In the collections of human remains (mummies, bones, etc.) belonging to museums or other institutions, insects can be found and can be used to make some interpretation about the past. This is possible only if the specialist is able to distinguish between the insects associated with the living subject or with the body decomposition and the pests colonizing the body stored in the collection. This paper, starting from the analysis of 42 human individuals belonging to three Italian osteological collections (Bologna, Parma, and Cagli), provides a working scheme to distinguish between “old” and museophagous insects in order to reduce the misinterpretations of the entomofauna associated with human remains.
Monitoring and Acceptance: Key Dimensions in Establishing Mindfulness
Authors: Anālayo Bhikkhu 
Published: October 2021

AbstractMonitoring and acceptance have been identified as key dimensions in mindfulness-based programs, with acceptance in particular being central to their beneficial potential. From an early Buddhist perspective, the notion of such acceptance could be enhanced by adding the qualification “wise.” In other words, it is a wise form of acceptance that is indeed a key dimension of the type of cultivation of mindfulness which can be expected to lead to a diminishing of suffering and distress.
The Frequency of Convergent Games under Best-Response Dynamics
Authors: Wiese Samuel C. , Heinrich Torsten 
Published: October 2021

AbstractWe calculate the frequency of games with a unique pure strategy Nash equilibrium in the ensemble ofn-player,m-strategy normal-form games. To obtain the ensemble, we generate payoff matrices at random. Games with a unique pure strategy Nash equilibrium converge to the Nash equilibrium. We then consider a wider class of games that converge under a best-response dynamic, in which each player chooses their optimal pure strategy successively. We show that the frequency of convergent games with a given number of pure Nash equilibria goes to zero as the number of players or the number of strategies goes to infinity. In the 2-player case, we show that for large games with at least 10 strategies, convergent games with multiple pure strategy Nash equilibria are more likely than games with a unique Nash equilibrium. Our novel approach uses ann-partite graph to describe games.
Assessing Knowledge of Pharmacokinetics in an Integrated Medical Curriculum
Authors: Pandit Rahul , Gerrits Mirjam A. F. M. , Custers Eugène J. F. M. 
Published: October 2021

AbstractPharmacokinetics is the branch of pharmacology that describes how the body processes drugs. As most physicians will prescribe drugs during their career, knowledge of pharmacokinetics is indispensable for medical students. Students, however, experience pharmacokinetics as difficult, probably due to its abstract and mathematical nature. In many medical curricula, pharmacokinetic topics are taught and examined as a part of integrated medical courses. As pharmacokinetics is a relatively small subject, unit examinations contain only few questions on the topic. The combination of a difficult subject and a few questions has raised concerns that students could perform poorly in pharmacokinetics and still pass the examinations and, hence, end up with insufficient knowledge of pharmacokinetics. In this study, we investigate this issue by contrasting students’ performance on pharmacokinetics questions with their performance on the rest of the examinations (all non-pharmacokinetics questions lumped together). The results expressed as pass-fail scores showed that students failed more often on the pharmacokinetics part of the test than on the other questions, in two consecutive academic years. Despite the suboptimal knowledge in pharmacokinetics, students can still acquire their bachelor’s degree. These results show that poor knowledge in pharmacokinetics could be a side effect of curricular integration. Attention should therefore be paid to provide insight into one’s own performance in individual disciplines. This would avoid knowledge deficiency and incompetence in the future.
Linear stability analysis of the homogeneous Couette flow in a 2D isentropic compressible fluid
Authors: Antonelli Paolo , Dolce Michele , Marcati Pierangelo 
Published: October 2021

AbstractIn this paper, we study the linear stability properties of perturbations around the homogeneous Couette flow for a 2D isentropic compressible fluid in the domain$$\mathbb {T}\times \mathbb {R}$$T×R. In the inviscid case there is a generic Lyapunov type instability for the density and the irrotational component of the velocity field. More precisely, we prove that their$$L^2$$L2norm grows as$$t^{1/2}$$t1/2and this confirms previous observations in the physics literature. On the contrary, the solenoidal component of the velocity field experiences inviscid damping, namely it decays to zero even in the absence of viscosity. For a viscous compressible fluid, we show that the perturbations may have a transient growth of order$$\nu ^{-1/6}$$ν-1/6(with$$\nu ^{-1}$$ν-1being proportional to the Reynolds number) on a time-scale$$\nu ^{-1/3}$$ν-1/3, after which it decays exponentially fast. This phenomenon is also called enhanced dissipation and our result appears to be the first to detect this mechanism for a compressible flow, where an exponential decay for the density is not a priori trivial given the absence of dissipation in the continuity equation.
Damped outrigger semi-active control for seismic vibration mitigation
Authors: Kavyashree B. G. , Patil Shantharam , Rao Vidya S. 
Published: October 2021

AbstractIn earlier days, the only way to resist the lateral loads was to increase the lateral strength of the structure obtained by making larger cross sections and massive buildings. Structural control is one of the solutions and important topics in both points of view of security and comfort in recent years. To reduce the effect of seismic energy, one of the structural forms used is the outrigger. In recent years, supplementary devices are installed into the outrigger structure so that damping of the structure increases and helps in mitigating the vibration, this concept is called damped outrigger. In this study, a damped outrigger structure replicating St. Francis Shangri-La Place skyscraper is excited for the El-Centro earthquake, and the Kobe earthquake is numerically modeled with viscous dampers and Magneto-Rheological damper to compare its effectiveness. The finite element approach is used for the analysis of the structure using Bernoulli’s Euler beam theory in modeling the core of the structure as a beam element. The state-space approach is used in modeling the structure, dampers, and controller interface in MATLAB and Simulink, then results are obtained for the peak value of displacement, acceleration, and mean values of the response of the structure. The results are discussed, which shows the significant distinction between uncontrolled and controlled responses.