bluuebunny/crossref_metadata_2025_split huggingface dataset:
Forecasting China's stock market volatility with shrinkage method: Can Adaptive Lasso select stronger predictors from numerous predictors?
Authors: Liang Chao , Xu Yongan , Chen Zhonglu , Li Xiafei 
Published: March 2022

AbstractThis paper employs a shrinkage method named Adaptive Lasso (ALasso) to predict the realized volatility (RV) of the China's stock market with numerous predictors. We observed from the out‐of‐sample predictions that the ALasso model exhibits better predictive power than its competitors, implying that the ALasso method can select stronger predictors in the forecasting process than competing models. In addition, the predictability of ALasso method is better in low volatility periods than in high volatility periods. Finally, several robustness check methods, including different forecasting windows, different low and high volatility division, and different volatility measures, supported our results.
Exploring career advancement of pharmacy support staff within two Queensland hospitals: a qualitative study
Authors: Cheong Aaron K. W. , McMillan Sara S. , Anoopkumar‐Dukie Shailendra , Kelly Fiona S. 
Published: March 2022

AbstractBackgroundInternationally, pharmacy assistants and technicians have expanded their roles to allow pharmacists to concentrate on more clinical duties. The Australian model of care is currently exploring avenues for strategic role expansion for these support staff.AimTo qualitatively explore pharmacist and support staff views on the training needs of Australian pharmacy support staff.MethodsEthics approval was obtained from both Metro South Human Research Ethics Committee and UnitingCare HREC prior to the commencement of the study. Semi‐structured interviews were conducted with personnel from the private and public settings to explore key issues identified in the literature. Interviews were conducted either face‐to‐face or via telephone between October 2017 and August 2018, with a mean duration of 39.85 min. NVivo® 11 qualitative software was used to consolidate the data. The general inductive approach was used for thematic data analysis, which allowed for the emergence of new themes and sub‐themes within the research topic.ResultsA total of 25 participants consisting of 10 pharmacists and 15 pharmacy support staff were recruited from a private (n = 13) and a public (n = 12) hospital in South‐East Queensland. Participants across both pharmacist and pharmacy support staff expressed inadequacy in current certification level, resulting in a need for further on‐the‐job training. The main reported facilitators to pursue further training were organisational support, career progression and remuneration. The main reported barriers were training cost and lack of time.ConclusionsThis exploratory study provides critical insights into the evolving needs of support staff that can inform innovative strategic role expansion for efficient and sustainable training.
Study on microstructure and tribological properties of hierarchical 3D braid applicable in heavy operating tribology conditions
Authors: Zahabi Saeed Reza , Sheikhzadeh Mohammad , Akbarzadeh Saleh , Bahi Addie , Ko Frank 
Published: March 2022

AbstractThe phenomenon of wear and friction in a variety of environments, including dry, seawater, and high temperatures, has always been a source of contention. Designing and fabricating parts that can function optimally in these conditions, such as self‐lubricating composites, is helpful. This work investigated the tribological and thermal properties of a three‐dimensional braid composite consisting of PTFE yarns and three types of reinforcement in the hierarchical structure under different operating conditions. In this study, the effect of different speeds was considered as well as effect of load. Roughness (Rq) and wear rate of the worn surface were also taken into account while evaluating the friction coefficient. By the response surface method (RSM) and D‐optimal design, the tests were planned experimentally so that the minimum test was performed. Statistical models from the analysis of experimental data by RSM revealed that the friction coefficient of all composites rises in dry conditions with increasing load and sliding speed. In contrast, in seawater conditions, the more difficult the test conditions, the friction took a positive trend. Glass fiber reinforced composites were temperature sensitive and behaved differently in different conditions. The most optimal cases were calculated and reported by the utility function. Furthermore, the coefficient of friction values obtained in all cases were desirable and reliable.
Electron and positron elastic scattering by non‐central potentials: Matrix elements and symmetry properties in the first Born approximation
Authors: Barp Marcos V. , Arretche Felipe 
Published: March 2022

AbstractThe Fourier transform of Cartesian Gaussian functions product is presented in the light of positron and electron elastic scattering. The calculation of this class of integrals is crucial in order to obtain the scattering amplitude in the first Born approximation framework for an ab initio method recently proposed. A general solution to the scattering amplitude is given to a molecular target with no restriction due to symmetry. Moreover, symmetry relations are presented with the purpose of identifying terms that do not contribute to the calculation for the molecules in the D∞h point group optimizing the computational effort.
A portable off‐road crawling hexapod robot
Authors: Yao Shun , Yao Yan‐an , Liu Ran , Liu Chao 
Published: March 2022

AbstractLegged robot has attracted wide attention because of its outstanding mobility and flexibility in the off‐road environment. Benefitting from the smooth foot trajectory and the discrete footholds, the robot can traverse the rough terrains with a great maneuverability. This paper studies a portable off‐road crawling hexapod robot with a flat structure of Schatz linkage. The proposed crawling hexapod robot could be stacked flatly with a compact size, which is good for storage and transportation. What's more, the robot could play an important role in the search and rescue mission. It could protect the operator from an incident like a collapsing wall. The robot has four locomotion gaits to meet different demands on rough terrains, including the hexapod gait, the tripod gait, the butterfly stroke gait, and the escape gait. A prototype of the robot system is fabricated. A series of experiments and simulated search and rescue missions are conducted, and the results verify that the robot could traverse through the rough terrain and complete the tasks required in the search and rescue mission.
A generalized weighted combination test of treatment effect for clinical trials with a sequential parallel comparison design and binary endpoint
Authors: Quan Hui , Chen Xiaofei , Luo Junxiang , Chen Xun 
Published: March 2022

AbstractTo address the issue of a large placebo effect in certain therapeutic areas, rather than the application of the traditional gold standard parallel group placebo‐controlled design, different versions of the sequential parallel comparison design have been advocated. In general, the design consists of two consecutive stages and three treatment groups. Stage 1 placebo nonresponders potentially form a prespecified patient subgroup for formal between‐treatment comparison at the final analysis. In this research, a version of the design is considered for a binary endpoint. To fully utilize all available data, a generalized weighted combination test is proposed in case placebo has a relatively small effect for some of the study endpoints. The weighted combination of the test based on stage 1 data and the test based on stage 2 data of stage 1 placebo nonresponders suggested in the literature uses only a part of the study data and is a special case of this generalized weighted combination test. A multiple imputation approach is outlined for handling missing not at random data. Simulation is conducted to evaluate the performances of the methods and a data example is employed to illustrate the applications of the methods.
Multi-objective vehicle routing with automated negotiation
Authors: de Jonge Dave , Bistaffa Filippo , Levy Jordi 
Published: March 2022

AbstractThis paper investigates a problem that lies at the intersection of three research areas, namely automated negotiation, vehicle routing, and multi-objective optimization. Specifically, it investigates the scenario that multiple competing logistics companies aim to cooperate by delivering truck loads for one another, in order to improve efficiency and reduce the distance they drive. In order to do so, these companies need to find ways to exchange their truck loads such that each of them individually benefits. We present a new heuristic algorithm that, given one set of orders for each company, tries to find the set of all truck load exchanges that are Pareto-optimal and individually rational. Unlike existing approaches, it does this without relying on any kind of trusted central server, so the companies do not need to disclose their private cost models to anyone. The idea is that the companies can then use automated negotiation techniques to negotiate which of these truck load exchanges will truly be carried out. Furthermore, this paper presents a new, multi-objective, variant of And/Or search that forms part of our approach, and it presents experiments based on real-world data, as well as on the commonly used Li & Lim data set. These experiments show that our algorithm is able to find hundreds of solutions within a matter of minutes. Finally, this paper presents an experiment with several state-of-the-art negotiation algorithms to show that the combination of our search algorithm with automated negotiation is viable.
Neotropical ostracode oxygen and carbon isotope signatures: implications for calcification conditions
Authors: Wrozyna Claudia , Meyer Juliane , Dietzel Martin , Piller Werner E. 
Published: March 2022

AbstractCalcitic valves of non-marine ostracodes are important geochemical archives. Investigations of the relationship between the ranges of oxygen and carbon isotope values of modern ostracode populations and their host water provide important information on local or regional conditions and influences. Here we present the first δ18Oostracodeand δ13C of the freshwater ostracode speciesCytheridella ilosvayialong with the isotopic composition of the waters in which the ostracodes calcified, δDwater, δ18Owater, δ13CDICvalues—covering a large geographical range (Florida to Brazil). With this data we extended a newly developed approach based on the estimation of δ18O values of monthly equilibrium calcites as references for the interpretation of δ18Oostracodevalues. The expected apparent oxygen isotope fractionation between CaCO3and H2O is correlated with temperature with smaller values occurring at higher temperatures as valid at isotope equilibrium (δ18Ocalcite_eq). Uncertainties about the expected equilibrium calcites derive from incomplete knowledge of high-frequency variations of the water bodies caused by interplay of mixing, evaporation, and temperature. Coincidence between δ18Oostracodeand δ18Ocalcite_eqis restricted to few months indicating a seasonal calcification ofCytheridella. There is a characteristic pattern in its difference between mean δ18Oostracodeand δ18Ocalcite_eqwhich implies thatCytheridellaprovides a synchronous life cycle in its geographical range with two calcification periods in spring (May, June) and autumn (October). This ubiquitous life cycle ofCytheridellain the entire study area is considered to be phylogenetically inherited. It might have originally been adapted to environmental conditions but has been conserved during the migration and radiation of the group over the Neotropical realm.
Crystal structure and metal binding properties of the periplasmic iron component EfeM from Pseudomonas syringae EfeUOB/M iron-transport system
Authors: Rajasekaran Mohan B. , Hussain Rohanah , Siligardi Giuliano , Andrews Simon C. , Watson Kimberly A. 
Published: March 2022

AbstractEfeUOB/M has been characterised in Pseudomonas syringae pathovar. syringae as a novel type of ferrous-iron transporter, consisting of an inner-membrane protein (EfeUPsy) and three periplasmic proteins (EfeOPsy, EfeMPsy and EfeBPsy). The role of an iron permease and peroxidase function has been identified for the EfeU and EfeB proteins, respectively, but the role of EfeO/M remains unclear. EfeMPsy is an ‘M75-only’ EfeO-like protein with a C-terminal peptidase-M75 domain (EfeOII/EfeM family). Herein, we report the 1.6 Å resolution crystal structure of EfeMPsy, the first structural report for an EfeM component of P. syringae pv. syringae. The structure possesses the bi-lobate architecture found in other bacterial periplasmic substrate/solute binding proteins. Metal binding studies, using SRCD and ICP-OES, reveal a preference of EfeMPsy for copper, iron and zinc. This work provides detailed knowledge of the structural scaffold, the metal site geometry, and the divalent metal binding potential of EfeM. This work provides crucial underpinning for a more detailed understanding of the role of EfeM/EfeO proteins and the peptidase-M75 domains in EfeUOB/M iron uptake systems in bacteria.
Plasma-neutral gas interactions in various space environments: Assessment beyond simplified approximations as a Voyage 2050 theme
Authors: Yamauchi Masatoshi , De Keyser Johan , Parks George , Oyama Shin-ichiro , Wurz Peter , Abe Takumi , Beth Arnaud , Daglis Ioannis A. , Dandouras Iannis , Dunlop Malcolm , Henri Pierre , Ivchenko Nickolay , Kallio Esa , Kucharek Harald , Liu Yong C.-M. , Mann Ingrid , Marghitu Octav , Nicolaou Georgios , Rong Zhaojin , Sakanoi Takeshi , Saur Joachim , Shimoyama Manabu , Taguchi Satoshi , Tian Feng , Tsuda Takuo , Tsurutani Bruce , Turner Drew , Ulich Thomas , Yau Andrew , Yoshikawa Ichiro 
Published: March 2022

Abstract
In the White Paper, submitted in response to the European Space Agency (ESA) Voyage 2050 Call, we present the importance of advancing our knowledge of plasma-neutral gas interactions, and of deepening our understanding of the partially ionized environments that are ubiquitous in the upper atmospheres of planets and moons, and elsewhere in space. In future space missions, the above task requires addressing the following fundamental questions: (A) How and by how much do plasma-neutral gas interactions influence the re-distribution of externally provided energy to the composing species? (B) How and by how much do plasma-neutral gas interactions contribute toward the growth of heavy complex molecules and biomolecules? Answering these questions is an absolute prerequisite for addressing the long-standing questions of atmospheric escape, the origin of biomolecules, and their role in the evolution of planets, moons, or comets, under the influence of energy sources in the form of electromagnetic and corpuscular radiation, because low-energy ion-neutral cross-sections in space cannot be reproduced quantitatively in laboratories for conditions of satisfying, particularly, (1) low-temperatures, (2) tenuous or strong gradients or layered media, and (3) in low-gravity plasma. Measurements with a minimum core instrument package (< 15 kg) can be used to perform such investigations in many different conditions and should be included in all deep-space missions. These investigations, if specific ranges of background parameters are considered, can also be pursued for Earth, Mars, and Venus.
A Danish case study of a sociomaterial construction of a new nomos and purpose of higher education
Authors: Lueg Klarissa , Graf Angela , Boje David 
Published: March 2022

AbstractThis article combines Bourdieusian practice with narrative sociomaterial theory to investigate what story of higher education and its purpose is being conveyed to students. Our case study revolves around a Danish university. We conduct a sociomaterial analysis of three university sites: an information day for prospective students, a video of a campus tour, and on-campus signage. We subject photographs of these data and the transcribed video to a sociomaterial analysis of how material objects and human subjects are socially positioned. We find that sociomateriality constructs two conflicting narratives about the purpose of higher education. High school graduates are courted with a narrative of an educational, person-centric, and knowledge-centric journey that will safely lead to favorable professional positions. Upon enrollment a changed, market-centered narrative envisions students as soon-to-be business assets who must self-optimize to forge a career. Both narratives remain at the stage of ante-narrative as they do not provide an ending: while the person-centric narrative is replaced upon enrollment, the business-centric narrative reduces university experiences to the “start” of the students’ career. On a sociopolitical level, our case is indicative of the trend of higher education adjusting its symbolic rules to business parameters and thus handing over relative autonomy to the economic field. Moreover, our study entails implications for theory in that it brings together Bourdieusian and Bojean (ante)narrative theory and conceptualizes dominant narratives as nomos. The paper further offers ideas on how to document and analyze data for researchers taking a sociomaterial approach.
Fine-Grained Power Modeling of Multicore Processors Using FFNNs
Authors: Sagi Mark , Vu Doan Nguyen Anh , Fasfous Nael , Wild Thomas , Herkersdorf Andreas 
Published: March 2022

AbstractTo minimize power consumption while maximizing performance, today’s multicore processors rely on fine-grained run-time dynamic power information—both in the time domain, e.g. $$\mu $$
μ
s to ms, and space domain, e.g. core-level. The state-of-the-art for deriving such power information is mainly based on predetermined power models which use linear modeling techniques to determine the core-performance/core-power relationship. However, with multicore processors becoming ever more complex, linear modeling techniques cannot capture all possible core-performance related power states anymore. Although artificial neural networks (ANN) have been proposed for coarse-grained power modeling of servers with time resolutions in the range of seconds, few works have yet investigated fine-grained ANN-based power modeling. In this paper, we explore feed-forward neural networks (FFNNs) for core-level power modeling with estimation rates in the range of 10 kHz. To achieve a high estimation accuracy while minimizing run-time overhead, we propose a multi-objective-optimization of the neural architecture using NSGA-II with the FFNNs being trained on performance counter and power data from a complex-out-of-order processor architecture. We show that relative power estimation error for the highest accuracy FFNN decreases on average by 7.5% compared to a state-of-the-art linear power modeling approach and decreases by 5.5% compared to a multivariate polynomial regression model. For the FFNNs optimized for both accuracy and overhead, the average error decreases between 4.1% and 6.7% compared to linear modeling while offering significantly lower overhead compared to the highest accuracy FFNN. Furthermore, we propose a micro-controller-based and an accelerator-based implementation for run-time inference of the power modeling FFNN and show that the area overhead is negligible.
Smallest graphs with given automorphism group
Authors: Deligeorgaki Danai 
Published: March 2022

AbstractFor a finite group G, denote by $$\alpha (G)$$

α
(
G
)

the minimum number of vertices of any graph $$\Gamma $$
Γ
having $$\mathrm {Aut}(\Gamma )\cong G$$

Aut
(
Γ
)
≅
G

. In this paper, we prove that $$\alpha (G)\le |G|$$

α
(
G
)
≤
|
G
|

, with specified exceptions. The exceptions include four infinite families of groups, and 17 other small groups. Additionally, we compute $$\alpha (G)$$

α
(
G
)

for the groups G such that $$\alpha (G)> |G|$$

α
(
G
)
>
|
G
|

where the value $$\alpha (G)$$

α
(
G
)

was previously unknown.
Sex Differences and Similarities in Risk Factors of Physical Aggression in Adolescence
Authors: Henriksen Marit , Skrove Marit , Hoftun Gry Børmark , Lydersen Stian , Stover Carla , Kalvin Carla B. , Sukhodolsky Denis G. 
Published: March 2022

AbstractConsiderable research has documented risk factors of physical aggression in adolescence. However, less is known of sex differences in these associations. The current study addressed this important area by examining sex differences in concurrent associations of physical aggression with mental health concerns, trauma exposure, and substance use. The study sample consisted of 3686 boys (mean age 15.9 years) and 3881 girls (mean age 16.0 years) from Young-HUNT3, a population-based study of adolescents in Norway. Logistic regression was used to analyze the association of physical aggression, measured as involvement in physical fighting, with possible risk factors: attention problems, anxiety and depression, loneliness, self-esteem problems, trauma exposure, PTSD symptoms, and substance use. Twenty-one percent (n = 773) of boys and three percent (n = 133) of girls reported participating in physical fights. The results indicated that all risk factors were associated with physical aggression in the total sample as well as in boys and girls separately. Interaction effects with sex emerged for attention problems, anxiety and depression, loneliness, traumatic events, alcohol intoxication, and narcotics use, with larger odds ratios for girls than for boys. Attention problems, traumatic events, and alcohol intoxication showed unique associations with physical aggression for both boys and girls, in addition to PTSD symptoms for boys. In sum, boys’ and girls’ engagement in physical aggression was associated mainly with the same risk factors, but several of the factors increased the relative risk more for girls than for boys. The findings can inform interventions targeting physical aggression in adolescence.