bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hybrid multibody system method for the dynamic analysis of an ultra‐precision fly‐cutting machine tool
Authors: Lu Hanjing , Rui Xiaoting , Ma Ziyao , Ding Yuanyuan , Chen Yiheng , Chang Yu , Zhang Xuping 
Published: October 2022

AbstractThe dynamics of an ultra‐precision machine tool determines the precision of the machined surface. This study aims to propose an effective method to model and analyze the dynamics of an ultra‐precision fly‐cutting machine tool. First, the dynamic model of the machine tool considering the deformations of the cutter head and the lathe head is developed. Then, the mechanical elements are classified into M subsystems and F subsystems according to their properties and connections. The M‐subsystem equations are formulated using the transfer matrix method for multibody systems (MSTMM), and the F‐subsystem equations are analyzed using the finite element method and the Craig–Bampton reduction method. Furthermore, all the subsystems are assembled by combining the restriction equations at connection points among the subsystems to obtain the overall transfer equation of the machine tool system. Finally, the vibration characteristics of the machine tool are evaluated numerically and are validated experimentally. The proposed modeling and analysis method preserves the advantages of the MSTMM, such as high computational efficiency, low computational load, systematic reduction of the overall transfer equation, and generalization of its computational capability to general flexible‐body elements. In addition, this study provides theoretical insights and guidance for the design of ultra‐precision machine tools.
Early vs late enteral nutrition in pediatric intensive care unit: Barriers, benefits, and complications
Authors: Solana María José , Manrique Gema , Slocker María , Fernández Reyes , Gil Raquel , Yun Cristina , García Miriam , Redondo Silvia , Balaguer Mónica , Rodríguez Eva , González‐Posada Aranzazu , Goñi Concepción , Martín Carmen María , Santiago Carmen , Sánchez María , Miñambres María , López‐Herce Jesús 
Published: October 2022

AbstractBackgroundThis study aimed to define the existing barriers for early enteral nutrition (EEN) in critically ill children and to analyze the differences in nutrient supply, complications, and outcomes between EEN and late EN (LEN).MethodsThis is a secondary analysis of a multicenter observational, prospective study including critically ill children receiving EN. Variables analyzed included demographic and anthropometric features, caloric and nutrient supply, outcomes, and complications according to the EN onset. Patients were classified into two groups according to the start of EN: 24‐EEN vs EN started after 24 h (24‐LEN) and 48‐EEN vs EN started after 48 h (48‐LEN).ResultsSixty‐eight children were enrolled; 22.1% received 24‐EEN, and 67.6% received 48‐EEN. EN was most frequently delayed in patients older than 12 months, in patients with cardiac disease, and in those requiring mechanical ventilation (MV). Children in the 24‐EEN group had shorter duration of MV compared with those in the 24‐LEN group (P = 0.04). The 48‐EEN group received a higher caloric intake (P = 0.04), reached the caloric target earlier (P < 0.01), and had lower incidence of constipation (P = 0.01) than the 48‐LEN group. There was a positive correlation between the time required to reach the maximum caloric intake and the length of pediatric intensive care stay (r = 0.46; P < 0.01).ConclusionEEN may improve nutrient delivery, reduce time on MV, and prevent constipation in critically ill children. No relevant differences between 24‐EEN and 48‐EEN were found. Cardiac disease, MV, and age older than 12 months were risk factors associated with LEN.
A Versatile Synthetic Pathway for Producing Mesostructured Plasmonic Nanostructures
Authors: Kim Sejung , Palani Stephen , Civitci Fehmi , Nan Xiaolin , Ibsen Stuart 
Published: October 2022

AbstractHighly branched gold (Au) nanostructures with sharp tips are considered excellent substrates for surface‐enhanced Raman scattering (SERS)‐based sensing technologies. Here, a simple synthetic route for producing Au or Au‐Ag bimetallic mesostructures with multiple sharpened tips in the presence of carbon quantum dots (CQDs) is presented. The morphologies of these mesostructured plasmonic nanoparticles (MSPNs) can be controlled by adjusting the concentration of CQDs, reaction temperatures, and seed particles. The optimal molar ratio for [HAuCl4]/[CQDs] is found to be ≈25. At this molar ratio, the diameters of MSPNs can be tuned from 80 to 200 nm by changing the reaction temperature from 25 to 80 °C. In addition, it is found that hierarchical MSPNs consisting of multiple Au nanocrystals can be formed over the entire seed particle surface. Finally, the SERS activity of these MSPNs is examined through the detection of rhodamine 6G and methylene blue. Of the different mesostructures, the bimetallic MSPNs have the highest sensitivity with the ability to detect 10−7 m of rhodamine 6G and 10−6 m of methylene blue. The properties of these MSPN particles, made using a novel synthetic process, make them excellent candidates for SERS‐based chemical sensing applications.
Metabolization of the glycation compounds 3-deoxyglucosone and 5-hydroxymethylfurfural by Saccharomyces yeasts
Authors: Kertsch Anna-Lena , Brysch-Herzberg Michael , Hellwig Michael , Henle Thomas 
Published: October 2022

AbstractThe Maillard reaction products (MRPs) 3-deoxyglucosone (3-DG) and 5-hydroxymethylfurfural (HMF), which are formed during the thermal processing and storage of food, come into contact with technologically used yeasts during the fermentation of beer and wine. In order for the yeast cells to work efficiently, handling of the stress-inducing carbonyl compounds is essential. In the present study, the utilization of 3-DG and HMF by 13 Saccharomyces yeast strains (7 brewer’s yeast strains, 1 wine yeast strain, 6 yeast strains isolated from natural habitats) was investigated. All yeast strains studied were able to metabolize 3-DG and HMF. 3-DG is mainly reduced to 3-deoxyfructose (3-DF) and HMF is completely converted to 2,5-bishydroxymethylfuran (BHMF) and 5-formyl-2-furancarboxylic acid (FFCA). The ratio of conversion of HMF to BHMF and FFCA was found to be yeast strain-specific and no differences in the HMF stress tolerance of the yeast strains and species were observed. After incubation with 3-DG, varying amounts of intra- and extracellular 3-DF were found, pointing to a faster transport of 3-DG into the cells in the case of brewer’s yeast strains. Furthermore, the brewer’s yeast strains showed a significantly higher 3-DG stress resistance than the investigated yeast strains isolated from natural habitats. Thus, it can be shown for the first time that Saccharomyces yeast strains differ in their interaction of 3-DG induced carbonyl stress.
Graphical abstract
Association of sweetened beverages consumption with all-cause mortality risk among Dutch adults: the Lifelines Cohort Study (the SWEET project)
Authors: Naomi Novita D. , Brouwer-Brolsma Elske M. , Buso Marion E. C. , Soedamah-Muthu Sabita S. , Harrold Joanne A. , Halford Jason C. G. , Raben Anne , Geleijnse Johanna M. , Feskens Edith J. M. 
Published: October 2022

Abstract
Purpose
Examined associations between sugar-sweetened beverages (SSB), low/no-calorie beverages (LNCB), and fruit juice (FJ) consumption and all-cause mortality in Dutch adults.

Methods
Data of 118,707 adults participating (mean age = 45 years; 60% was women) the Lifelines Cohort Study were prospectively analyzed. Dietary intake was assessed using a validated food-frequency questionnaire. Participants’ vital status was followed-up until February 2022 via the National Personal Records Database. Associations between beverages of interest and all-cause mortality risk were investigated using restricted cubic spline and Cox proportional hazard regression analyses, including substitution analyses. Models were adjusted for demographics, lifestyle, and other dietary factors.

Results
During follow-up (median = 9.8 years), a total of 2852 (2.4%) deaths were documented. Median (IQR) of SSB, LNCB, and FJ consumption were 0.1 (0.0–0.6), 0.1 (0.0–0.6), and 0.2 (0.0–0.6) serving/day, respectively. Dose–response analyses showed linear associations between SSB, LNCB, and FJ consumption and mortality risk. For each additional serving of SSB and LNCB, HRs of all-cause mortality risk were 1.09 (95% CI 1.03–1.16) and 1.06 (95% CI 1.00–1.11). Replacing SSB with LNCB showed a nonsignificant association with a lower mortality risk, particularly in women (HR 0.91, 95% CI 0.81–1.01). Finally, an inverse association between FJ and all-cause mortality was observed at moderate consumption with HR of 0.87 (95% CI 0.79–0.95) for > 0–2 servings/week and HR of 0.89 (95% CI 0.81–0.98) for > 2–< 7 servings/week when compared to no consumption.

Conclusions
Our study showed adverse associations between SSB consumption and all-cause mortality. Replacing SSB with LNCB might be associated with lower mortality risk, particularly in women. Moderate intake of FJ was associated with lower all-cause mortality risk.
European beewolf (Philanthus triangulum) will expand its geographic range as a result of climate warming
Authors: Olszewski Piotr , Dyderski Marcin K. , Dylewski Łukasz , Bogusch Petr , Schmid-Egger Christian , Ljubomirov Toshko , Zimmermann Dominique , Le Divelec Romain , Wiśniowski Bogdan , Twerd Lucyna , Pawlikowski Tadeusz , Mei Maurizio , Popa Alexandra Florina , Szczypek Jakub , Sparks Tim , Puchałka Radosław 
Published: October 2022

Abstract
Climate change is an important driver of the spread of apiary pests and honeybee predators. These impact on one of the economically most important pollinators and thus pose serious threats to the functioning of both natural ecosystems and crops. We investigated the impact of the predicted climate change in the periods 2040–2060 and 2060–2080 on the potential distribution of the European beewolf Philanthus triangulum, a specialized honeybee predator. We modelled its potential distribution using the MaxEnt method based on contemporary occurrence data and bioclimatic variables. Our model had an overall good performance (AUC = 0.864) and the threshold of occurrence probability, assessed as the point with the highest sum of sensitivity and specificity, was at 0.533. Annual temperature range (69.5%), mean temperature in the warmest quarter (12.4%), and precipitation in the warmest quarter (7.9%) were the principal bioclimatic variables significantly affecting the potential distribution of the European beewolf. We predicted the potential distribution shifts within two scenarios (optimistic RPC4.5 and pessimistic RCP8.5) and three Global Circulation Models (HadGEM2-ES, IPSL-CM5A-LR, and MPI-SM-LR). Both optimistic and pessimistic scenarios showed that climate change will significantly increase the availability of European beewolf potential niches. Losses of potential niches will only affect small areas in southern Europe. Most of the anticipated changes for the period 2060–2080 will already have occurred in 2040–2060. The predicted range expansion of European beewolf suggests that occurrence and abundance of this species should be monitored.
Pre-frail older adults show improved cognition with StayFitLonger computerized home–based training: a randomized controlled trial
Authors: Belleville Sylvie , Cuesta M. , Bieler-Aeschlimann M. , Giacomino K. , Widmer A. , Mittaz Hager A. G. , Perez-Marcos D. , Cardin S. , Boller B. , Bier N. , Aubertin-Leheudre M. , Bherer L. , Berryman N. , Agrigoroaei S. , Demonet J. F. 
Published: October 2022

AbstractMultidomain interventions have shown tremendous potential for improving cognition in older adults. It is unclear if multidomain interventions can be delivered remotely and whether remote intervention is beneficial for older adults who are vulnerable or at risk of cognitive decline. In a 26-week multi-site, home-based, double-blind, randomized controlled trial, 120 cognitively healthy older adults (75 robust, 45 pre-frail; age range = 60–94) recruited from Switzerland, Canada, and Belgium were randomized to receive either the StayFitLonger (SFL) computerized multidomain training program or an active control intervention. Delivered on tablets, the SFL intervention combined adapted physical exercises (strength, balance, and mobility), cognitive training (divided attention, problem solving, and memory), opportunities for social and contributive interactions, and psychoeducation. The active control intervention provided basic mobilization exercises and access to video games. Cognitive outcomes were global cognition (Z-scores of attention, verbal fluency, and episodic memory for nondemented older adults; ZAVEN), memory, executive function, and processing speed. Linear mixed model analyses indicated improved performance on the ZAVEN global cognition score in the SFL group but not in the active control group. Stratified analyses by frailty status revealed improved ZAVEN global cognition and processing speed scores following SFL in the pre-frail group but not in the robust group. Overall, the study indicates that a computerized program providing a multidomain intervention at home can improve cognition in older adults. Importantly, pre-frail individuals, who are at higher risk of cognitive decline, seem to benefit more from the intervention. Trial registration: ClinicalTrials.gov, NCT037519 Registered on January 22, 2020—Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT04237519.
Characteristics of chest pain in COVID-19 patients in the emergency department
Authors: Sinkeldam M. , Buenen A. G. , Celiker E. , van Diepen M. , de Vos A. M. 
Published: October 2022

Abstract
Introduction
Patients with coronavirus disease 2019 (COVID-19) can present with chest pain. However, the characteristics of this chest pain are unknown. We performed a single-centre observational study to review and summarise chest pain characteristics in COVID-19 patients at first presentation to the emergency department (ED).

Methods
We collected data on characteristics of ‘chest pain’ reported by COVID-19 patients who attended the ED of Bernhoven Hospital, the Netherlands from 4 through 30 March 2020.

Results
We included 497 COVID-19 patients, of whom 83 (17%) reported chest pain upon presentation to the ED. Chest pain characteristics were: present since disease onset (88%), retrosternal location (43%), experienced as compressing/pressure pain (61%), no radiation (61%) and linked to heavy coughing (39%). Patients who reported chest pain were younger than those without chest pain (61 vs 73 years; p < 0.001). Patients with syncope were older (75 vs 72 years; p = 0.017), had a shorter duration of symptoms (5 vs 7 days; p < 0.001) and reported fewer respiratory complaints (68% vs 90%; p < 0.001) than those without syncope. Patients with new-onset atrial arrhythmias presented with a shorter duration of symptoms (5 vs 7 days; p = 0.013), experienced fewer respiratory complaints (72% vs 89%; p = 0.012) and more frequently had a history of cardiovascular disease (79% vs 50%; p = 0.003) than patients who presented without arrythmias.

Conclusion
Chest pain and other cardiac symptoms were frequently observed in COVID-19 patients. Treating physicians should be aware that chest pain, arrhythmias and syncope can be presenting symptoms of COVID-19.
Coil optimization of ultra-deep azimuthal electromagnetic resistivity logging while drilling tool based on numerical simulation
Authors: Kang Zhengming , Qin Haojie , Zhang Yi , Hou Binbin , Hao Xiaolong , Chen Gang 
Published: October 2022

AbstractThis paper presents a coil optimization method of the ultra-deep azimuthal electromagnetic (EM) resistivity Logging While Drilling (LWD) to obtain the best parameters of the tool for formation boundary detection by theory. First, a rapid numerical simulation algorithm, i.e. the Fast Hankel Transform (FHT) method, is developed to simulate the logging responses of the layered formation. A system of double inclined coils is selected based on the response characteristics and the depth of detection (DOD) from four common coils. Simulation results demonstrated that the optimal coils are perfectly suitable for anisotropic formation. Then, the crucial parameters of the frequency and spacing of the selected coils with a DOD of 30 m are determined using the Picasso diagram. In addition, the influences of the electrical parameter of the drilling collar and resistivity anisotropy of the formation on the response are investigated. The results show that the conductivity of the drilling collar, the thickness and the resistivity anisotropy of the formation all affect the DOD. Finally, formation models with different layers are created to verify the performance and signal intensity. The results demonstrate that the optimized coils not only have a large DOD but also possess a high signal intensity, further confirming the advantages of the preferred coils. Compared with the conventional physical experiment tests, the method of coil optimization proposed in this paper is more economical and efficient. The findings of this study can help better understand the detection characteristics of the different coils, which can provide theoretical support for designing and developing a tool with the best boundary capability.
Indigenous education policy, practice and research: unravelling the tangled web
Authors: Shay Marnee , Sarra Grace , Lampert Jo 
Published: October 2022

AbstractAn abundance of research in Indigenous education has not resulted in significant systemic change in relation to Indigenous education in Australia. In this paper we examine convergence and divergence across the policy, practice and research realms with the aim of identifying key sites of opportunity for innovation and change. Through analysing how research and evidence is produced and included/excluded in Indigenous education policy settings, the complexities of how different types of evidence are considered rigorous and relevant were found to be clearly implicated with broader social and political discourses with relation to Indigenous peoples and interests. Whilst we argue for an Indigenous based evidence approach that centres Indigenous agency and solutions, we propose that deeper conversations about Indigenous voice and diversity is needed in implementing such an approach. We re-visit some key policy cycles that resembles the new co-design approach announced by the Australian Government in 2019 and consider the implications based on published literature to date for Indigenous education.
Finite difference schemes for the parabolic p-Laplace equation
Authors: del Teso Félix , Lindgren Erik 
Published: October 2022

AbstractWe propose a new finite difference scheme for the degenerate parabolic equation $$\begin{aligned} \partial _t u - \text{ div }(|\nabla u|^{p-2}\nabla u) =f, \quad p\ge 2. \end{aligned}$$

∂
t

u
-

div

(
|
∇
u
|

p
-
2

∇
u
)
=
f
,

p
≥
2
.

Under the assumption that the data is Hölder continuous, we establish the convergence of the explicit-in-time scheme for the Cauchy problem provided a suitable stability type CFL-condition. An important advantage of our approach, is that the CFL-condition makes use of the regularity provided by the scheme to reduce the computational cost. In particular, for Lipschitz data, the CFL-condition is of the same order as for the heat equation and independent of p.
Assessment of Maize Yield Response to Agricultural Management Strategies Using the DSSAT–CERES-Maize Model in Trans Nzoia County in Kenya
Authors: Kipkulei Harison Kiplagat , Bellingrath-Kimura Sonoko Dorothea , Lana Marcos , Ghazaryan Gohar , Baatz Roland , Boitt Mark , Chisanga Charles B. , Rotich Brian , Sieber Stefan 
Published: October 2022

AbstractMaize production in low-yielding regions is influenced by climate variability, poor soil fertility, suboptimal agronomic practices, and biotic influences, among other limitations. Therefore, the assessment of yields to various management practices is, among others, critical for advancing site-specific measures for production enhancement. In this study, we conducted a multiseason calibration and evaluation of the DSSAT–CERES-Maize model to assess the maize yield response of two common cultivars grown in Trans Nzoia County in Kenya under various agricultural strategies, such as sowing dates, nitrogen fertilization, and water management. We then applied the Mann–Kendall (MK), and Sen’s Slope Estimator (SSE) tests to establish the yield trends and magnitudes of the different strategies. The evaluated model simulated long-term yields (1984–2021) and characterized production under various weather regimes. The model performed well in simulating the growth and development of the two cultivars, as indicated by the model evaluation results. The RMSE for yield was 333 and 239 kg ha−1for H614 and KH600-23A, respectively, representing a relative error (RRMSE) of 8.1 and 5.1%. The management strategies assessment demonstrated significant feedback on sowing dates, nitrogen fertilization, and cultivars on maize yield. The sowing date conducted in mid-February under fertilization of 100 kg of nitrogen per hectare proved to be the best strategy for enhancing grain yields in the region. Under the optimum sowing dates and fertilization rate, the average yield for cultivar KH600-23A was 7.1% higher than that for H614. The MK and SSE tests revealed a significant (p < 0.05) modest downwards trend in the yield of the H614 cultivar compared to the KH600-23A. The eastern part of Trans Nzoia County demonstrated a consistent downwards trend for the vital yield enhancement strategies. Medium to high nitrogen levels revealed positive yield trends for more extensive coverage of the study area. Based on the results, we recommend the adoption of the KH600-23A cultivar which showed stability in yields under optimum nitrogen levels. Furthermore, we recommend measures that improve soil quality and structure in the western and northern parts, given the negative model response on maize yield in these areas. Knowledge of yield enhancement strategies and their spatial responses is of utmost importance for precision agricultural initiatives and optimization of maize production in Trans Nzoia County.
Homological properties of 0-Hecke modules for dual immaculate quasisymmetric functions
Authors: Choi Seung-Il , Kim Young-Hun , Nam Sun-Young , Oh Young-Tak 
Published: October 2022

Abstract
Let n be a nonnegative integer. For each composition

$\alpha $

of n, Berg, Bergeron, Saliola, Serrano and Zabrocki introduced a cyclic indecomposable

$H_n(0)$

-module

$\mathcal {V}_{\alpha }$

with a dual immaculate quasisymmetric function as the image of the quasisymmetric characteristic. In this paper, we study

$\mathcal {V}_{\alpha }$

s from the homological viewpoint. To be precise, we construct a minimal projective presentation of

$\mathcal {V}_{\alpha }$

and a minimal injective presentation of

$\mathcal {V}_{\alpha }$

as well. Using them, we compute

$\mathrm {Ext}^1_{H_n(0)}(\mathcal {V}_{\alpha }, \mathbf {F}_{\beta })$

and

$\mathrm {Ext}^1_{H_n(0)}( \mathbf {F}_{\beta }, \mathcal {V}_{\alpha })$

, where

$\mathbf {F}_{\beta }$

is the simple

$H_n(0)$

-module attached to a composition

$\beta $

of n. We also compute

$\mathrm {Ext}_{H_n(0)}^i(\mathcal {V}_{\alpha },\mathcal {V}_{\beta })$

when

$i=0,1$

and

$\beta \le _l \alpha $

, where

$\le _l$

represents the lexicographic order on compositions.