bluuebunny/crossref_metadata_2025_split huggingface dataset:
Random Effects Multinomial Processing Tree Models: A Maximum Likelihood Approach
Authors: Nestler Steffen , Erdfelder Edgar 
Published: May 2023

The present article proposes and evaluates marginal maximum likelihood (ML) estimation methods for hierarchical multinomial processing tree (MPT) models with random and fixed effects. We assume that an identifiable MPT model with S parameters holds for each participant. Of these S parameters, R parameters are assumed to vary randomly between participants, and the remaining S-R\documentclass[12pt]{minimal}
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\begin{document}$$S-R$$\end{document} parameters are assumed to be fixed. We also propose an extended version of the model that includes effects of covariates on MPT model parameters. Because the likelihood functions of both versions of the model are too complex to be tractable, we propose three numerical methods to approximate the integrals that occur in the likelihood function, namely, the Laplace approximation (LA), adaptive Gauss–Hermite quadrature (AGHQ), and Quasi Monte Carlo (QMC) integration. We compare these three methods in a simulation study and show that AGHQ performs well in terms of both bias and coverage rate. QMC also performs well but the number of responses per participant must be sufficiently large. In contrast, LA fails quite often due to undefined standard errors. We also suggest ML-based methods to test the goodness of fit and to compare models taking model complexity into account. The article closes with an illustrative empirical application and an outlook on possible extensions and future applications of the proposed ML approach.
On the importance of patient acceptance for medical robotic imaging
Authors: Eilers Christine , van Kemenade Rob , Busam Benjamin , Navab Nassir 
Published: May 2023

Abstract
Purpose
Mutual acceptance is required for any human-to-human interaction. Therefore, one would assume that this also holds for robot–patient interactions. However, the medical robotic imaging field lacks research in the area of acceptance. This work, therefore, aims at analyzing the influence of robot–patient interactions on acceptance in an exemplary medical robotic imaging system.

Methods
We designed an interactive human-robot scenario, including auditive and gestural cues, and compared this pipeline to a non-interactive scenario. Both scenarios were evaluated through a questionnaire to measure acceptance. Heart rate monitoring was also used to measure stress. The impact of the interaction was quantified in the use case of robotic ultrasound scanning of the neck.

Results
We conducted the first user study on patient acceptance of robotic ultrasound. Results show that verbal interactions impacts trust more than gestural ones. Furthermore, through interaction, the robot is perceived to be friendlier. The heart rate data indicates that robot–patient interaction could reduce stress.

Conclusions
Robot–patient interactions are crucial for improving acceptance in medical robotic imaging systems. While verbal interaction is most important, the preferred interaction type and content are participant dependent. Heart rate values indicate that such interactions can also reduce stress. Overall, this initial work showed that interactions improve patient acceptance in medical robotic imaging, and other medical robot–patient systems can benefit from the design proposals to enhance acceptance in interactive scenarios.
Robotic versus laparoscopic left colectomy: a propensity score matched analysis from a bi-centric experience
Authors: Solaini Leonardo , Giuliani Giuseppe , Cavaliere Davide , Bocchino Antonio , Di Marino Michele , Avanzolini Andrea , Coratti Andrea , Ercolani Giorgio 
Published: May 2023

AbstractThe advantages of using the robotic platform may not be clearly evident in left colectomies, where the surgeon operates in an “open field” and does not routinely require intraoperative suturing. Current evidences are based on limited cohorts reporting conflicting outcomes regarding robotic left colectomies (RLC). The aim of this study is to report a bi-centric experience with robotic left colectomy in order to help in defining the role of the robotic approach for these procedures. This is a bi-centric propensity score matched study including patients who underwent RLC or laparoscopic left colectomy (LLC) between January 1, 2012 and May 1, 2022. RLC patients were matched to LLC patients in a 1:1 ratio. Main outcomes were conversion to open surgery and 30-day morbidity. In total, 300 patients were included. Of 143 (47.7%) RLC patients, 119 could be matched. After matching, conversion rate (4.2 vs. 7.6%, p = 0.265), 30-day morbidity (16.1 vs. 13.7%, p = 0.736), Clavien–Dindo grade ≥ 3 complications (2.4 vs 3.2%, p = 0.572), transfusions (0.8 vs. 4.0%, p = 0.219), and 30-day mortality (0.8 vs 0.8%, p = 1.000) were comparable for RLC and LLC, respectively. Median operative time was longer for RLC (296 min 260–340 vs. 245, 195–296, p < 0.0001). Early oral feeding, time to first flatus, and hospital stay were similar between groups. RLC has safety parameters as well as conversion to open surgery comparable with standard laparoscopy. Operative time is longer with the robotic approach.
Some Reflections About the Success and Bibliographic Impact of the Dynamic Geometry System GeoGebra
Authors: Roanes-Lozano Eugenio , Solano-Macías Carmen 
Published: May 2023

AbstractThe authors were surprised by the number of articles that used or cited the computer algebra system DERIVE more than 10 years after it was discontinued and developed a small bibliographic study about it, published in 2019. Now they address in a similar way the very successful dynamic geometry system GeoGebra that, although created 20 years ago, later than the other great dynamic geometry systems (Cabri Geometry II, The Geometer’s Sketchpad and Cinderella), has now dozens of millions of users around the world. Not surprisingly, the cites to GeoGebra in the well known bibliographic databases Scopus, Web of Science and Google Scholar show an impressive growth.
A Strong-Type Furstenberg–Sárközy Theorem for Sets of Positive Measure
Authors: Durcik Polona , Kovač Vjekoslav , Stipčić Mario 
Published: May 2023

AbstractFor every $$\beta \in (0,\infty )$$

β
∈
(
0
,
∞
)

, $$\beta \ne 1$$

β
≠
1

, we prove that a positive measure subset A of the unit square contains a point $$(x_0,y_0)$$

(

x
0

,

y
0

)

such that A nontrivially intersects curves $$y-y_0 = a (x-x_0)^\beta $$

y
-

y
0

=
a

(
x
-

x
0

)

β

for a whole interval $$I\subseteq (0,\infty )$$

I
⊆
(
0
,
∞
)

of parameters $$a\in I$$

a
∈
I

. A classical Nikodym set counterexample prevents one to take $$\beta =1$$

β
=
1

, which is the case of straight lines. Moreover, for a planar set A of positive density, we show that the interval I can be arbitrarily large on the logarithmic scale. These results can be thought of as Bourgain-style large-set variants of a recent continuous-parameter Sárközy-type theorem by Kuca, Orponen, and Sahlsten.
Unmet supportive care needs in families of children with chronic health conditions: an Australian cross-sectional study
Authors: Thomas Sangeetha , Byrne Linda K. , Ryan Nicholas P. , Hendrieckx Christel , White Victoria 
Published: May 2023

Abstract
Background
The aim of this study was to identify similarities and differences in the unmet supportive care needs (USCN) of families of children with major chronic health conditions (CHCs) using a universal need assessment tool.

Methods
A cross-sectional online survey involving parents of children with congenital heart disease (CHD), type 1 diabetes mellitus (T1D), cancer, and asthma diagnosed within the last 5 years recruited via social media and support organizations. Thirty-four items assessing the USCN across six domains (care needs, physical and social needs, informational needs, support needs, financial needs, child-related emotional needs) were responded to on a 4-point Likert scale [no need (1) to high need (4)]. Descriptive statistics identified the level of need, and linear regressions identified factors associated with higher need domain scores. Due to small numbers, the asthma group was excluded from comparisons across CHCs.

Results
One hundred and ninety-four parents completed the survey (CHD: n = 97, T1D: n = 50, cancer: n = 39, and asthma: n = 8). Parents of children with cancer were most likely to report at least one USCN (92%), followed by parents of children with T1D (62%). The five most commonly reported USCN across CHCs were drawn from four domains: child-related emotional, support, care, and financial. Three need items were included in the top five needs for all conditions. A higher USCN was associated with a greater frequency of hospital visits and the absence of parental support.

Conclusions
Using a universal need assessment tool, this is one of the first studies to characterize USCN in families of children diagnosed with common CHCs. While proportions endorsing different needs varied across conditions, the most endorsed needs were similar across the illness groups. This suggests that support programs or services could be shared across different CHCs.
Trojan awakener: detecting dormant malicious hardware using laser logic state imaging (extended version)
Authors: Krachenfels Thilo , Seifert Jean-Pierre , Tajik Shahin 
Published: May 2023

AbstractThe threat of (HTs) and their detection is a widely studied field. While the effort for inserting a Trojan into an (ASIC) can be considered relatively high, especially when trusting the chip manufacturer, programmable hardware is vulnerable to Trojan insertion even after the product has been shipped or during usage. At the same time, detecting dormant HTs with small or zero-overhead triggers and payloads on these platforms is still a challenging task, as the Trojan might not get activated during the chip verification using logical testing or physical measurements. In this work, we present a novel Trojan detection approach based on a technique known from (IC) failure analysis, capable of detecting virtually all classes of dormant Trojans. Using (LLSI), we show how supply voltage modulations can awaken inactive Trojans, making them detectable using laser voltage imaging techniques. Therefore, our technique does not require triggering the Trojan. To support our claims, we present three case studies on 28 nm and 20 nm SRAM- and flash-based (FPGAs). We demonstrate how to detect with high confidence small changes in sequential and combinatorial logic as well as in the routing configuration of FPGAs in a non-invasive manner. Finally, we discuss the practical applicability of our approach on dormant analog Trojans in ASICs.
Recent advances in wheel-rail RCF and wear testing
Authors: Shrestha Sundar , Spiryagin Maksym , Bernal Esteban , Wu Qing , Cole Colin 
Published: May 2023

AbstractThe wear and rolling contact fatigue (RCF) testing approaches for wheels and rails have been reviewed and evaluated in this study. The study points out the advantages and limitations of the existing approaches. The broad analysis revealed that scaled laboratory-based wear testing is widely applied. However, it is necessary to predetermine the input parameters and observing parameters for scaled wear testing for three reasons: first, to emulate the real-world scenarios as closely as possible; second, to postprocess the results received from the scaled testing and transfer them into real practice at full scale; third, to present the results in a legible/appropriate format. Therefore, most of the important parameters required for wear testing have been discussed with fundamental and systematic explanations provided. Additionally, the transition of the parameters from the real-world into the test domain is explained. This study also elaborates on the challenges of the RCF and wear testing processes and concludes by providing major considerations toward successful testing.
Halloysite-gold core-shell nanosystem synergistically enhances thermal conductivity and mechanical properties to optimize the wear-resistance of a pheonlic-PBO/PTFE textile composite liner
Authors: Wang Yanling , Zhang Zhaozhu , Liu Meng , He Yaohui , Li Peilong , Yuan Junya , Yang Mingming , Liu Weimin 
Published: May 2023

AbstractPolymer-textile liner composites have potential applications in aerospace applications for reducing the abrasion damage of moving parts during operation owing to their self-lubrication, light weight, and high loading capacity. Herein, Au nanoparticles (AuNPs) are successfully loaded into the lumen of halloysite nanotubes (HNTs) to construct an HNTs-Au peasecod core-shell nanosystem to optimize the wear resistance of phenolic resin-based poly(p-phenylene benzobisoxazole) (PBO)/polytetrafluoroethylene (PTFE) textile composites. Transmission electron microscope (TEM) characterization reveals that the AuNPs are well-dispersed inside the HNTs, with an average diameter of 6–9 nm. The anti-wear performance of the HNTs and Au-reinforced PBO/PTFE composites is evaluated using a pin-on-disk friction tester at 100 MPa. Evidently, the addition of HNTs-Au induces a 27.9% decrease in the wear rate of the composites. Possible anti-wear mechanisms are proposed based on the analyzed results of the worn surface morphology and the cross-section of the tribofilm obtained by focused ion beam transmission electron microscopy.
GeoZ: a Region-Based Visualization of Clustering Algorithms
Authors: ElHaj Khalid , Alshamsi Dalal , Aldahan Ala 
Published: May 2023

AbstractThe spatial display of clustered data using machine learning (ML) as regions (bordered areas) is currently unfeasible. This problem is commonly encountered in various research fields that utilize clustering algorithms in their workflow. We present in this study an approach utilizing ML algorithm models that can be trained to any specific dataset to produce decision boundaries. These boundaries are overlaid onto the geographic coordinate system (GCS) to generate geographic clustering regions. The proposed approach is implemented in the Python Package Index (PyPI) as a geovisualization library called geographic decision zones (GeoZ). The efficiency of GeoZ was tested using a dataset of groundwater wells in the State of California. We experimented with 13 different ML models to determine the best model that predicts the existing regional distribution (subbasins). The support vector machine (SVM) algorithm produced a relatively high accuracy score and fulfilled the required criteria better than the other models. Consequently, the tested SVM model with optimized parameters was implemented in the GeoZ open-source library. However, it is important to note that limitations in the application of GeoZ may arise from the nature of the SVM algorithm, as well as the volume, discontinuity, and distribution of the data. We have attempted to address these limitations through various suggestions and solutions.
Biochar from grape pomace, a waste of vitivinicultural origin, is effective for root-knot nematode control
Authors: Martínez-Gómez Ángela , Andrés Maria Fe , Barón-Sola Ángel , Díaz-Manzano Fernando E. , Yousef Ibraheem , Mena Ismael F. , Díaz Elena , Gómez-Torres Óscar , González-Coloma Azucena , Hernández Luis E. , Escobar Carolina 
Published: May 2023

AbstractRoot-knot nematodes (RKNs) are obligate endoparasites that feed on their host plants to complete its life cycle, representing a major threat to agriculture and economy worldwide. The development of new management strategies becomes essential as effective chemical nematicides are progressively being restricted. Hence, we analysed grape pomace-derived biochars, pyrolysed at 350 °C (BC350) and 700 °C (BC700), focusing on their potential for RKN control. The thermal treatment of grape pomace caused an increase in the concentration of carbon and plant macro- and micronutrients, which were largely present in a water-soluble form. Synchrotron radiation-based Fourier transform infrared microspectroscopy data showed a general loss of carboxylic functional groups during pyrolysis, partially contributing to the alkalinisation of both biochars, mostly in BC700. Scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy analysis revealed a highly porous structure filled with different crystals composed of elements such as K, Ca, Mg, P, Si or Al, which could be a suitable environment for the growth of microorganisms. Biochar-derived aqueous extracts showed phytotoxicity to tomato seedlings at high concentrations, and disappeared upon dilution, but no toxic effect was observed on the nematode’s infective stage. However, the infective and reproductive traits of a Meloidogyne javanica population in tomato were significantly reduced (i.e. egg masses and eggs per plant) in washed-biochar-treated soil in pots (0.75%; BC350W). Therefore, the large amount of grape waste generated after wine production can be transformed into a valuable product such as biochar, effective for RKNs control, thus reducing the waste management problem and contributing to a circular economy.
Graphical abstract
Biochar rate-dependent regulation of extended nitrogen supply by modifying stable aggregates-N and microbial responses
Authors: Ibrahim Muhammed Mustapha , Chang Zhaofeng , Li Zhimin , Joseph Jerry , Yusuf Ado Adamu , Luo Xianzhen , Hou Enqing 
Published: May 2023

AbstractBesides carbon sequestration, biochar amendment in soils can regulate the loss of applied fertilizer-nitrogen (N) into the environment. Soil aggregates are essential in controlling soil N stocks' stabilization and supply. However, unraveling the rate-dependent impact of biochar on stable soil aggregates and their associated N in fertilized soils over an extended period is a prerequisite to understanding its implications on soil-N dynamics. We unraveled how high and low biochar application rates combined with inorganic fertilizer (20- and 40-tons ha−1 [FB1 and FB2]) affected soil N fractions, stable soil aggregates, aggregates associated-N, and microbial responses to regulate N supply for Nageia nagi after one year. Results revealed that biochar amendment, especially at higher rate, increased the concentration of inorganic N and some amino acids compared to sole fertilizer (F). Available N increased by 16.5% (p = 0.057), 23.8% (p = 0.033), and 34.8% (p = 0.028) in F, FB1, and FB2, respectively, compared to the control (C). Also, 28.1% and 32.8% significant increases in the availability of NH4+-N were recorded in FB1 and FB2, respectively, compared to F. NO3−-N availability was significantly increased by 15.2%, 21.8%, and 20.8% in FB1, FB2, and C, compared to F. Biochar amendment, irrespective of rate, increased stable microaggregates (< 0.25 mm). However, FB2 significantly increased macro- and intermediate-aggregate-N, and urease activity, and hence higher N supply capacity to meet the N need of N. nagi even after one year. Hence, the N content of N. nagi was 41.3%, 28.8%, and 12.2% higher in FB2, FB1, and F, respectively, compared to the control. Biochar amendment decreased bacterial species diversity but increased the proportion of NH4+-oxidizers (especially the Betaproteobacteria) to maintain the mineralization and slow release of N. Although a low biochar rate was more beneficial than sole fertilization, higher biochar application rate could sustain higher N supply by stabilizing soil microaggregates and increasing macro- and intermediate-aggregates N, its mineralization, and slow-release over longer periods.
Money in South-Central Africa, 1890–1931: Africans, Imperial Sterling, and Colonial Economy-Building
Authors: Nyamunda Tinashe , Mseba Admire 
Published: May 2023

AbstractIn South-Central Africa, British mining companies shadowed colonial monetization in an assertive and coercive manner. In the emerging settler states, African money users were obliged to adjust to colonial money for the payment of tax and transactions. Yet they often found it difficult to obtain access to colonial currency. Company rule in the region was initially closely connected to the South African economy, but currencies separated as a result of South Africa’s economy building in the 1920s. Nyamunda and Mseba tell the story of the struggles of African money users in engaging with colonial currency.
Serving the People or the People's Note: On the Political Economy of Talent Allocation
Authors: Xiao Kezhou 
Published: May 2023

AbstractAn efficient allocation of talents through occupational choice is central to modern economic growth. Removing developmental barriers unfavorable to entrepreneurship and artificially imposed for political reasons (i.e., the cage theory) might be a plausible channel for China's superb economic performance. Using a newly compiled dataset on China's Super Rich Persons, the regression kink design reports supportive evidence on the politically induced structural change in the social composition of entrepreneurs using Deng Xiaoping's Southern Talks as an event shock. Consistent with a pro-market talent allocation framework, this article finds that (1) the share of super-rich entrepreneurs with state sector experience and a college degree declined, suggesting that the period of the Southern Talks opened a window of opportunity for venturing, and (2) the effects on the attributes of the parental father of the entrepreneurs are somewhat limited.
On the spectral theory of groups of automorphisms of S-adic nilmanifolds
Authors: BEKKA BACHIR , GUIVARC’H YVES 
Published: May 2023

AbstractLet
$S=\{p_1, \ldots , p_r,\infty \}$
for prime integers
$p_1, \ldots , p_r.$
Let X be an S-adic compact nilmanifold, equipped with the unique translation-invariant probability measure
$\mu .$
We characterize the countable groups
$\Gamma $
of automorphisms of X for which the Koopman representation
$\kappa $
on
$L^2(X,\mu )$
has a spectral gap. More specifically, let Y be the maximal quotient solenoid of X (thus, Y is a finite-dimensional, connected, compact abelian group). We show that
$\kappa $
does not have a spectral gap if and only if there exists a
$\Gamma $
-invariant proper subsolenoid of Y on which
$\Gamma $
acts as a virtually abelian group,
“The Shah's House Became the People's House”: Narrating Iran's Modern History at the Pahlavi Dynasty Museum
Authors: Bazyar Marziyeh , Steele Robert 
Published: May 2023

AbstractThis paper examines the Pahlavi Dynasty Museum, which was inaugurated in 1976 during the celebrations marking the fiftieth anniversary of Pahlavi rule. Built inside the Marble Palace, the shah's former residence in the center of Tehran, the museum was intended to memorialize the achievements of the Pahlavis, presenting the official Pahlavi version of Iran's modern history. The museum was unique in many respects, not least because it was the only former Pahlavi palace that had been converted into a museum to honor the Pahlavis, but it shared the objectives of other museums constructed during this period. During the late Pahlavi era, a major aspect of the state's cultural policy was to sponsor initiatives that strengthened the official state narrative, which argued that the Pahlavis were the legitimate heirs of a 2500-year-old monarchical tradition. The article explores how the state attempted to express these narratives through the museum's design and exhibits.