bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessing the validity of a Parkinson’s care evaluation: the PRIME-NL study
Authors: Gelissen Liza M. Y. , van den Bergh Robin , Talebi Amir H. , Geerlings Angelika D. , Maas Bart R. , Burgler Myrthe M. , Kroeze Yvet , Smink Agnes , Bloem Bastiaan R. , Munneke Marten , Ben-Shlomo Yoav , Darweesh Sirwan K. L. 
Published: May 2024

Abstract
Introduction
The PRIME-NL study prospectively evaluates a new integrated and personalized care model for people with parkinsonism, including Parkinson’s disease, in a selected region (PRIME) in the Netherlands. We address the generalizability and sources of selection and confounding bias of the PRIME-NL study by examining baseline and 1-year compliance data.

Methods
First, we assessed regional baseline differences between the PRIME and the usual care (UC) region using healthcare claims data of almost all people with Parkinson’s disease in the Netherlands (the source population). Second, we compared our questionnaire sample to the source population to determine generalizability. Third, we investigated sources of bias by comparing the PRIME and UC questionnaire sample on baseline characteristics and 1-year compliance.

Results
Baseline characteristics were similar in the PRIME (n = 1430) and UC (n = 26,250) source populations. The combined questionnaire sample (n = 920) was somewhat younger and had a slightly longer disease duration than the combined source population. Compared to the questionnaire sample in the PRIME region, the UC questionnaire sample was slightly younger, had better cognition, had a longer disease duration, had a higher educational attainment and consumed more alcohol. 1-year compliance of the questionnaire sample was higher in the UC region (96%) than in the PRIME region (92%).

Conclusion
The generalizability of the PRIME-NL study seems to be good, yet we found evidence of some selection bias. This selection bias necessitates the use of advanced statistical methods for the final evaluation of PRIME-NL, such as inverse probability weighting or propensity score matching. The PRIME-NL study provides a unique window into the validity of a large-scale care evaluation for people with a chronic disease, in this case parkinsonism.
Pelagic niche shift by fishes following restorations of a eutrophic lake
Authors: Berthelsen Andreas S. , Søndergaard Martin , Kiljunen Mikko , Eloranta Antti P. , Lauridsen Torben L. 
Published: May 2024

AbstractLake restoration by biomanipulation or phosphorus fixation has been commonly applied methods to improve the ecological status of lakes. However, the effects of lake restoration on food-web dynamics are still poorly understood, especially when biomanipulation and nutrient fixation are used simultaneously. This study investigated the combined effects of a 70% fish removal (mainly roach (Rutilus rutilus Linnaeus, 1758) and bream (Abramis brama Linnaeus, 1758) and Phoslock® treatment on fish trophic ecology in Lyngsø (area: 9.6 ha, mean depth: 2.6 m), Denmark. The lake restoration resulted in decreased nutrient levels, increased water clarity, and increased coverage of more structurally complex submerged macrophytes. Following lake restoration, significant changes in diets of the dominant fish species were observed. Stomach content analyses of roach and perch (Perca fluviatilis Linnaeus, 1758) revealed significantly reduced detritus utilization and increased foraging on macrophytes and macrophyte living invertebrates. Results from stable isotope mixing models indicated a shift from littoral benthic to more pelagic food resources by the dominant fish species. Our findings provide further evidence that lake restorations can lead to substantial changes in lake food webs and fish communities, thereby potentially facilitating a shift toward an ecological state resembling the pristine reference state, less influenced by anthropogenic factors.
Ultrasound-assisted extraction of alginate from Ecklonia maxima with and without the addition of alkaline cellulase – factorial and kinetic analysis
Authors: van Sittert Dylan , Lufu Robert , Mapholi Zwonaka , Goosen Neill Jurgens 
Published: May 2024

AbstractUltrasound-assisted extraction and enzyme-assisted extraction are two methods that can be employed to recover valuable compounds from seaweeds at milder operating conditions than conventional chemical extraction methods. The aim of the study was to determine whether pH, enzyme addition and extraction temperature significantly impacted extraction of alginate from Ecklonia maxima in the presence of ultrasonication and to model extraction kinetics. Firstly, a 23 factorial experimental design was employed at constant sonication rate, with pH (8 and 10), temperature (50 and 60 °C), and enzyme-to-substrate ratio (E:S 0 and 1 %) as the independent variables. Secondly, extraction kinetics of alginate were investigated at different extraction conditions, through fitting of the Peleg and Power models. Highest extraction for alginate was achieved at pH 10, 60 °C, E:S = 0 % within the first 60 min of extraction. The addition of enzyme improved solubilised dry matter content, but it had a less clear impact on the alginate yield. Both the Peleg (R2 = 0.893 – 0.997) and Power function (R2 = 0.861 – 0.987) models provided good fit to the experimental data and can used to describe extraction kinetics of alginate during combined ultrasound-enzymatic assisted extraction.
Interpersonal Racism and Child Neglect: A Moderated Mediation Model of Psychological Distress and Social Support
Authors: Zedan Heba Faiek 
Published: May 2024

AbstractThe Palestinian minority in Israel has endured sociopolitical stressors (e.g., ethnonational racism, discrimination, oppression, and political violence) throughout the decades, which have adverse psychological and behavioral outcomes. In this study, we examine the association between interpersonal racism (IPR) among Palestinian parents in Israel and their child neglect, the mediating role of psychological distress on this relationship, and the moderating role of perceived social support (PSS) on the mediated effect of psychological distress on this relationship. A systematic sample of 770 parents (500 mothers and 270 fathers) aged 21–66 was recruited to fill out a self-administered questionnaire composed of several instruments. The results indicate that parents’ IPR experiences are associated with an increased risk of child neglect, and this relationship is mediated by psychological distress. Results also show that in low or medium levels of PSS, psychological distress reports in relation to racism exposure are the highest. Yet, surprisingly, this effect strengthens at high levels of PSS. In comparison, the positive effect of psychological distress on child neglect strengthens in lower levels of PSS, showing a protective role of PSS. Finally, PSS moderates the mediation model’s indirect effect; IPR is related to increased psychological distress, and in turn, to a greater risk of child neglect when perceiving low or medium levels of social support. The study underlines the negative consequences of IPR on child neglect and contributes new knowledge to the literature. Longitudinal research is needed to confirm and extend these findings, which could have important clinical implications for treating parents facing racism and potential child neglect.
Image moment-based visual positioning and robust tracking control of ultra-redundant manipulator
Authors: Li Zhongcan , Zhou Yufei , Zhu Mingchao , Chu Yongzhi , Wu Qingwen 
Published: May 2024

AbstractImage moment features can describe more general target patterns and have good decoupling properties. However, the image moment features that control the camera’s rotation motion around the x-axis and y-axis mainly depend on the target image itself. In this paper, the ultra-redundant manipulator visual positioning and robust tracking control method based on the image moments are advocated.First, six image moment features used to control camera motion around the x-axis and around the y-axis are proposed. And then, a novel method is proposed to use to select image features. For tracking a moving target, a kalman filter combined with adaptive fuzzy sliding mode control method is proposed to achieve tracking control of moving targets, which can estimate changes in image features caused by the target’s motion on-line and compensate for estimation errors. Finally, the experimental system based on Labview-RealTime system and ultra-redundant manipulator is used to verify the real-time performance and practicability of the algorithm. Experimental results are presented to illustrate the validity of the image features and tracking method.
Additive-free synthesis of layer-like Faujasite-type zeolite X
Authors: Koop-Santa C. , Yocupicio-Gaxiola R. I. , Murrieta-Rico Fabian N. , Avalos-Borja M. , Xiao Mufei , Petranovskii V. , Reyes-Serrato A. 
Published: May 2024

AbstractFaujasite-type zeolite X (FAU-X) with a layered morphology was successfully synthesized by an additive-free route at a crystallization temperature of 90 °C for 24 h. The sample was dried at 70 °C for 40 h (designated FAU) and then calcined at 450 °C for 5 h (designated FAU-450). Both samples were analyzed by X-ray diffraction (XRD), which confirmed the formation of the FAU structure. In addition, from the XRD data and Energy Dispersive Spectroscopy, the Si/Al ratio was determined to be ~ 1.20, which is typical for FAU-X zeolite. Scanning Electron Microscopy revealed that both samples have morphologies corresponding to sheet agglomerate, with FAU-450 having an agglomerate size of 1.41 µm and a sheet thickness of about 0.13 µm. These values are close to the data obtained by transmission electron microscopy, where an agglomerate size of ~ 1.39 µm and a sheet thickness of ~ 0.12 µm were observed. From the Tauc’s plots for FAU and FAU-450, the values of direct and indirect band gaps were determined and found to be close for both samples. In the case of FAU-450, values of 4.35 eV and 3.12 eV were obtained for the direct and indirect transition, respectively. From the TGA/DTA data, it was found that FAU loses mass due to dehydration of the zeolite at temperatures below 350 °C, while the sample is structurally stable up to 700 °C.
Graphical Abstract
One pot synthesis of nanostructured bismuth fluoride tailored for symmetric supercapacitor performance
Authors: Kumari Pooja , Ghosh Sarit K. , Saha Chandan , Mallick Kaushik 
Published: May 2024

AbstractOrganic molecule stabilized face-centered cubic structured bismuth fluoride (BiF3) nanoparticles (NPs), space group: Fm-3 m, were prepared using a wet chemical synthesis route for symmetric supercapacitor application. For freestanding three electrode system, at current density (Cd) 3.3 A.g−1, the material displayed a maximum specific capacitance (SCp) value 717.3 F.g−1. The symmetric device based on BiF3 attained a maximum specific capacity (SC) value of 228.4 mAh.g−1 at 0.06 A.g−1. At the current density of 0.30 A.g−1, the device displayed the energy density (Ed) and power density (Pd) values of 0.17 Wh.kg−1 and 343.7 W.kg−1, respectively. Furthermore, the fabricated symmetric supercapacitor displayed 90% of capacity retention and 95% of coulombic efficiency at 0.12 A.g−1 for 1000 galvanostatic charge–discharge (GCD) cycles. The symmetric supercapacitor based on BiF3 NPs exhibited excellent electrochemical performance, which could be an appropriate choice for application in different integrated energy storage systems.
Self-compassion Predicts Higher Affective Well-being and Lower Stress Symptoms Through Less Dysfunctional Coping: A Three-wave Longitudinal Study During the COVID-19 Pandemic
Authors: Asselmann Eva , Bendau Antonia , Hoffmann Cosma , Ewert Christina 
Published: May 2024

AbstractThis study examined whether self-compassion at the beginning of the COVID-19 pandemic predicted higher subjective well-being and lower psychopathological symptoms through more functional and less dysfunctional coping. Among 430 adults, self-compassion, coping, life satisfaction, positive and negative affect, and depressive, anxiety, and stress symptoms were assessed longitudinally over 6 weeks (from 04/2020 to 07/2020). Structural equation modeling revealed that self-compassion at T1 predicted more functional and less dysfunctional coping at T2 (controlling for coping at T1) and more positive and less negative affect and lower stress symptoms at T3 (controlling for these measures at T1). More functional and less dysfunctional coping at T2 (controlling for coping at T1) predicted higher subjective well-being and lower psychopathological symptoms at T3 (controlling for these measures at T1), with the sole exception that functional coping was not significantly associated with anxiety symptoms. In addition, we found that less dysfunctional coping mediated (a) nearly one-third (30.77%) of the association between higher self-compassion and less negative affect and (b) nearly half (46.15%) of the association between higher self-compassion and lower stress symptoms. These findings support the idea that a self-compassionate attitude prevents dysfunctional thoughts (e.g., self-blame) and behaviors (e.g., substance use) during stressful times, which in turn reduces negative affect and symptoms of stress.
(Nonequilibrium) Dynamics of Diffusion Processes with Non-conservative Drifts
Authors: Garbaczewski Piotr , Żaba Mariusz 
Published: May 2024

AbstractThe nonequilibrium Fokker–Planck dynamics with a non-conservative drift field, in dimension $$N\ge 2$$

N
≥
2

, can be related with the non-Hermitian quantum mechanics in a real scalar potential Vand in a purely imaginary vector potential -iAof real amplitude A (Mazzolo and Monthus in Phys Rev E 107:014101, 2023). Since Fokker–Planck probability density functions may be obtained by means of Feynman’s path integrals, the previous observation points towards a general issue of “magnetically affine” propagators, possibly of quantum origin, in real and Euclidean time. In below we shall follow the $$N=3$$

N
=
3

“magnetic thread”, within which one may keep under a computational control formally and conceptually different implementations of magnetism (or surrogate magnetism) in the dynamics of diffusion processes. We shall focus on interrelations (with due precaution to varied, not evidently compatible, notational conventions) of: (i) the pertinent non-conservatively drifted diffusions, (ii) the classic Brownian motion of charged particles in the (electro)magnetic field, (iii) diffusion processes arising within so-called Euclidean quantum mechanics (which from the outset employs non-Hermitian “magnetic” Hamiltonians), (iv) limitations of the usefulness of the Euclidean map $$\exp (-itH_{quant}) \rightarrow \exp (-tH_{Eucl})$$

exp

(
-
i
t

H

quant

)

→
exp

(
-
t

H

Eucl

)

, regarding the probabilistic significance of inferred (path) integral kernels in the description of diffusion processes.
BOUNDARY-DOMAIN INTEGRAL EQUATIONS FOR VARIABLE-COEFFICIENT HELMHOLTZ BVPs IN 2D
Authors: Ayele Tsegaye G. , Demissie Bizuneh M. , Mikhailov Sergey E. 
Published: May 2024

AbstractIn this paper, we construct boundary-domain integral equations (BDIEs) of the Dirichlet and mixed boundary value problems for a two-dimensional variable-coefficient Helmholtz equation. Using an appropriate parametrix, these problems are reduced to several BDIE systems. It is shown that the BVPs and the formulated BDIE systems are equivalent. Fredholm properties and unique solvability and invertibility of BDIE systems are investigated in appropriate Sobolev spaces.
Effect of twisted rib on the hydrothermal performance and entropy generation behavior in minichannel heat sinks cooled by biologically synthesized Ag/water nanofluid
Authors: Shahsavar Amin , Hasani Mahan , Yıldız Çağatay , Arıcı Müslüm 
Published: May 2024

AbstractThis numerical research study focuses on impacts of using twisted rib geometry on the hydrothermal performance and entropy generation characteristics of biologically synthesized Ag/water nanofluid flowing in heat sink ‌minichannels. To this end, twelve different twisted rib geometries (Case 1 to 12) were designed where the double-row ribs were twisted at the bottom and top portions with twist angles between − 45° and + 45°. To elucidate the cooling performance comprehensively, four different Reynolds numbers (Re = 500, 1000, 1500, and 2000) and four different nanoparticle concentrations ($$ \varphi \hspace{0.17em}$$

φ

= 0%, 0.1%, 0.5%, and 1%) were included in the numerical computations. Results revealed that using twisted ribs significantly smoothen the fluid flow and reduces pressure drop remarkably depending on twist angles, nevertheless, it deteriorates the cooling performance. In Case 12, the convective heat transfer coefficient reduces by up to 15.8% at Re = 2000 and $$ \varphi$$
φ
=1%, compared to the base case. However, pumping power requirement is decreased by 43.9% in this case. Nanoparticle incorporation contributes to enhancement of convective heat transfer coefficient by up to 13.5% at the lowest Re. Frictional entropy generation considerably decreases (up to 31%) when twisted ribs are utilized. However, thermal entropy generation can increase up to 36%, due to ineffective cooling with twisted ribs. This work can be regarded as a first study in the field concerning the effects of top and bottom twist angles on hydrothermal performance and entropy generation in nanofluid-cooled mini-channel heat sinks.
Modern outlook on the source of the 551 AD tsunamigenic earthquake that struck the Phoenician (Lebanon) coast
Authors: Salamon Amos , Omira Rachid , Zohar Motti , Baptista Maria Ana 
Published: May 2024

AbstractOn July 9th, 551 AD, a strong earthquake followed by a noticeable tsunami and another destructive shock hit the littoral zone of Phoenicia, currently Lebanon. The sequence of events was associated with active faults in the region, but the source able to explain both seismic and tsunami effects is still a matter of open debate. This article contributes to unlocking this enigma by providing a modern analysis of the historical accounts of macroseismic effects, earthquake environmental and tsunami effects, and archaeoseismic findings. Here, we conduct seismotectonic research, evaluate the intensities of all the associated effects, and perform coseismic deformation and numerical tsunami modeling to infer the most likely source. Our results suggest that either the thrust system noted as Mount Lebanon Thrust underlying Lebanon and crops out at the seabed offshore of the coast or the intermittent transpressive Tripoli-Batroun-Jounieh-Damour fault zone along the Lebanese coast are the best candidate sources for the 551 AD earthquakes and tsunami. Both of these sources allow us to better explain the macroseismic, morphological and tsunamigenic effects. Remarkably, the notable uplift of the coastal, marine-cut terraces along the Lebanese littoral zone is well reproduced by the coseismic uplift associated with these sources, thus also clarifying the considerable drawback of the sea and limited inundation reported by the historical accounts.
Everything has changed: the impacts of the COVID-19 pandemic on the transit market in Montréal, Canada
Authors: Carvalho Thiago , El-Geneidy Ahmed 
Published: May 2024

AbstractThe COVID-19 pandemic has significantly impacted the transit market leading to ridership loss and service cuts. Most of the post-pandemic transit market literature has focused on how to attract those who stopped using transit services, however little attention has been given to how rider profiles have changed. To address this gap, we examine 2019 and 2022 data regarding transit commuters from Montréal, Canada. We apply factor and k-means cluster analyses to derive market segments at both points in time considering satisfaction levels, telecommuting rates, and frequency of transit use. We build upon these analyses to report on overall and mode group-level changes in the transit market. Our market segmentation reveals that captive, captive-by-choice, and choice riders still exist in the current public transit market. However, the share of these groups in the market has changed. The proportion of captive and choice riders has increased while captive-by-choice riders have shrunk in size. Moreover, the post-pandemic market has become mostly composed of infrequent riders and higher rates of telecommuting. We further explore these trends by commute mode (i.e., bus only, metro only, and bus and metro users). The findings from this research can be of interest to practitioners and policymakers as they shed light on the evolution of the perceptions and behaviours of segments of transit riders from before to after pandemic.
Airglow and Aurora in the Martian Atmosphere: Contributions by the Mars Express and ExoMars TGO Missions
Authors: González-Galindo Francisco , Gérard Jean-Claude , Soret Lauriane , Chaufray Jean-Yves , Fedorova Anna , Holmstrom Mats , Lefèvre Franck , López-Valverde Miguel Ángel , Montmessin Franck 
Published: May 2024

AbstractThe study of atmospheric emissions from orbit to probe the middle and upper atmosphere of Mars, which started with the Mariner missions, is living a golden era thanks to the European Space Agency (ESA) Mars Express mission and other subsequent missions built upon its success, including the ESA ExoMars Trace Gas Orbiter (TGO) mission. Here we summarize the most relevant information obtained by the analysis of atmospheric emissions data from Mars Express and TGO, about the temperature and density structure, the atmospheric dynamics, the chemistry and the atmospheric escape to space. Mars Express also opened a new field of research on Mars with the discovery of aurorae on the planet. We present here the most outstanding results collected by Mars Express about aurorae. Finally, we also discuss how later measurements by other missions have complemented Mars Express and TGO results, and the potential future developments relevant to this field of research.
A TabPFN-based intrusion detection system for the industrial internet of things
Authors: Ruiz-Villafranca Sergio , Roldán-Gómez José , Gómez Juan Manuel Castelo , Carrillo-Mondéjar Javier , Martinez José Luis 
Published: May 2024

AbstractThe industrial internet of things (IIoT) has undergone rapid growth in recent years, which has resulted in an increase in the number of threats targeting both IIoT devices and their connecting technologies. However, deploying tools to counter these threats involves tackling inherent limitations, such as limited processing power, memory, and network bandwidth. As a result, traditional solutions, such as the ones used for desktop computers or servers, cannot be applied directly in the IIoT, and the development of new technologies is essential to overcome this issue. One approach that has shown potential for this new paradigm is the implementation of intrusion detection system (IDS) that rely on machine learning (ML) techniques. These IDSs can be deployed in the industrial control system or even at the edge layer of the IIoT topology. However, one of their drawbacks is that, depending on the factory’s specifications, it can be quite challenging to locate sufficient traffic data to train these models. In order to address this problem, this study introduces a novel IDS based on the TabPFN model, which can operate on small datasets of IIoT traffic and protocols, as not in general much traffic is generated in this environment. To assess its efficacy, it is compared against other ML algorithms, such as random forest, XGBoost, and LightGBM, by evaluating each method with different training set sizes and varying numbers of classes to classify. Overall, TabPFN produced the most promising outcomes, with a 10–20% differentiation in each metric. The best performance was observed when working with 1000 training set samples, obtaining an F1 score of 81% for 6-class classification and 72% for 10-class classification.