bluuebunny/crossref_metadata_2025_split huggingface dataset:
Partitioned dual Maclaurin symmetric mean operators based on picture fuzzy sets and their applications in multi-attribute decision-making problems
Authors: Mahmood Tahir , Rehman Ubaid ur , Emam Walid , Ali Zeeshan , Wang Haolun 
Published: November 2023

AbstractThe partitioned Dual Maclaurin symmetric mean (PDMSM) operator has the supremacy that can justify the interrelationship of distinct characteristics and there are a lot of exploration consequences for it. However, it has not been employed to manage “multi-attribute decision-making” (MADM) problems represented by picture fuzzy numbers. The basic inspiration of this identification is to develop the novel theory of picture fuzzy PDMSM operator, and weighted picture fuzzy PDMSM operator and to identify their important results (Idempotency, Monotonicity, and Boundedness). Further, to identify the best decision, every expert realized that they needed the best way to find the beneficial optimal using the proper decision-making procedure, for this, we diagnosed the MADM tool in the consideration of deliberated approaches based on PF information. Finally, to drive the characteristics of the invented work, several examples are utilized to test the manifest of the comparative analysis with various more existing theories, which is a fascinating and meaningful technique to deeply explain the features and exhibited of the proposed approaches.
Research on rheological behavior of fresh concrete single-cylinder pumping based on SPH-DEM
Authors: Wu Wanrong , Chen Wang , Lu Guoyi , Wang Jiaqian , Tian Guangtian , Xu Boxuan , Deng Chao 
Published: November 2023

AbstractIn contrast to traditional approaches to simulating fresh concrete, the model applied here allows issues such as liquid phase and the motion of sub-scale particles to be considered. The rheological behavior of fresh concrete materials was investigated, and the slump test and pumping process of fresh concrete were simulated by combining the smooth particle hydrodynamics coupled with discrete element method. Based on Bi-viscosity model and Bingham model, linear and nonlinear fitting of rheometer data and the derivation equations were educing. Bi-viscosity model and the Bingham model were compared in slump test. The results show that the Bi-viscosity model is more accurate in simulation, and the error percentage is less than 10%. The Bi-viscosity model was used to simulate and predict the results of slump experiment, and the influence of rheological parameters on the slump velocity and shape was obtained. The simulation analysis model of concrete single-cylinder pumping is established, and the experimental and simulation analysis models are compared. The results show that the SPH-DEM pumping pressure prediction is very close to the experimental results.
Benefit of using interaction effects for the analysis of high-dimensional time-response or dose-response data for two-group comparisons
Authors: Duda Julia C. , Drenda Carolin , Kästel Hue , Rahnenführer Jörg , Kappenberg Franziska 
Published: November 2023

AbstractHigh throughput RNA sequencing experiments are widely conducted and analyzed to identify differentially expressed genes (DEGs). The statistical models calculated for this task are often not clear to practitioners, and analyses may not be optimally tailored to the research hypothesis. Often, interaction effects (IEs) are the mathematical equivalent of the biological research question but are not considered for different reasons. We fill this gap by explaining and presenting the potential benefit of IEs in the search for DEGs using RNA-Seq data of mice that receive different diets for different time periods. Using an IE model leads to a smaller, but likely more biologically informative set of DEGs compared to a common approach that avoids the calculation of IEs.
Reparameterized multiobjective control of BCG immunotherapy
Authors: Yue Rongting , Dutta Abhishek 
Published: November 2023

AbstractBladder cancer is a cancerous disease that mainly affects elder men and women. The immunotherapy that uses Bacillus of Calmette and Guerin (BCG) effectively treats bladder cancer by stimulating the immune response of patients. The therapeutic performance of BCG relies on drug dosing, and the design of an optimal BCG regimen is an open question. In this study, we propose the reparameterized multiobjective control (RMC) approach for seeking an optimal drug dosing regimen and apply it to the design of BCG treatment. This approach utilizes constrained optimization based on a nonlinear bladder cancer model with impulsive drug instillation. We compare the performance of RMC with Koopman model predictive control (MPC) and validate the efficacy of optimal BCG dosing regimens through numerical simulations, demonstrating the efficient elimination of cancerous cells. The proposed control framework holds the potential for generalization to other model-based treatment designs.
Simplified models of aerosol collision and deposition for disease transmission
Authors: Jung Sunghwan Sunny 
Published: November 2023

AbstractFluid-mechanics research has focused primarily on droplets/aerosols being expelled from infected individuals and transmission of well-mixed aerosols indoors. However, aerosol collisions with susceptible hosts earlier in the spread, as well as aerosol deposition in the nasal cavity, have been relatively overlooked. In this paper, two simple fluid models are presented to gain a better understanding of the collision and deposition between a human and aerosols. The first model is based on the impact of turbulent diffusion coefficients and air flow in a room on the collisions between aerosols and humans. Infection rates can be determined based on factors such as air circulation and geometry as an infection zone expands from an infected host. The second model clarifies how aerosols of different sizes adhere to different parts of the respiratory tract. Based on the inhalation rate and the nasal cavity shape, the critical particle size and the deposition location can be determined. Our study offers simple fluid models to understand the effects of geometric factors and air flows on the aerosol transmission and deposition.
Impact of microalgae layer thickness on the treatment performance of drain water
Authors: Moustafa Aya Moustafa , ElNadi Mohamed El-Hosseiny , Abdelmomen Mahmoud Mohamed , Nagy Amira Mohamed 
Published: November 2023

AbstractThe water shortage problem in Egypt has promoted the exploration of new water resources, including the use of treated agricultural drainage water. This study aims to develop an efficient and cost-effective method for the in-situ treatment of agricultural drainage water from the Bahr-ElBaqar drain using a microalgae layer. The objective was to establish the optimal thickness of the layer for achieving the highest removal efficiency of pollutants from the drain's wastewater. Practical work was performed on a pilot consisting of five channels with four channels having microalgae with different thicknesses and fixed lengths of 50 cm, and the fifth channel acting as a buffer channel to assimilate the drain water without any treatment microalgae layer. After the experiment, it was discovered that a 10-mm layer of microalgae was the most effective thickness for eliminating pollutants from wastewater. The removal efficiencies were 29% for biochemical oxygen demand (BOD), 46.9% for chemical oxygen demand (COD), and 56.1% for total suspended solids (TSS) removal. This experiment provided evidence that microalgae could represent a viable solution for in-situ treatment of agricultural drainage wastewater with high removal efficiencies for pollutants in wastewater and decreased the need for constructing huge and expensive wastewater treatment plants.
Topolectrical Circuit Correspondence Design of Polyacetylene
Authors: Albooyeh Majid Reza , Sadeghi Ali , Mohseni Seyed Majid 
Published: November 2023

AbstractIn cis and trans geometrical configurations of the polyacetylene molecule, one-dimensional chain is constructed by attaching a number of identical –HC=CH– units one-by-one. We attach as many units as required to obtain the chain of the desired length. In case of a very long polyacetylene chain, which is practically considered infinite in length, a periodic unit is defined, so that its band structure would be calculable. Then, the electronic properties and topological properties of the chain can be predicted. Since experimental synthesis of single-layer polyacetylene chain has lots of limitations, in an alternative approach, emulation of a tight-binding model is used to describe the electron transfer in polyacetylene polymer chain. In case of either synthesis or testing the polyacetylene molecule, it is necessary to improvise a one-to-one correspondence between polyacetylene polymer and topological circuit, which is introduced for the first time in the present study. To this aim, the outputs of density functional theory calculations alongside with the calculations based on the physical chemistry formalisms are used. Here, we observed that the electronic response of the circuit is topologically sustained at frequencies where the coupling was pre-determined via high precision quantum system equivalent topolectrical circuit, as an alternative classical system, to study electron transfer of trans-polyacetylene polymer quantum chain by the precision of one-electron.
Metabolic health status and renal disorders: a cross-sectional study
Authors: Moeinzadeh Firouzeh , Rouhani Mohammad Hossein , Seirafian Shiva , Vahdat Sahar , Mortazavi Mojgan , Clark Cain C. T. , Shahdadian Farnaz 
Published: November 2023

AbstractPrevious surveys suggests that body mass index (BMI) may be positively related to development of chronic kidney disease (CKD). However, this association might be altered by metabolic syndrome. Therefore, we aimed to evaluate the association of metabolic health status with CKD. The present cross-sectional study was carried out on 3322 representative sample of Iranian adults. Metabolic syndrome was identified based on the National Cholesterol Education Program (NCEP) Adult Treatment Panel III (ATP III) and BMI was assessed by anthropometric measurements. Estimated glomerular filtration rate (eGFR) was calculated by modification of diet in renal disease-Chronic Kidney Disease Epidemiology Collaboration (MDRD-EPI) formula. Subjects were categorized into four phenotypes: metabolically healthy normal weight (MHNW), metabolically healthy overweight and obesity (MHO), metabolically unhealthy normal weight (MUHNW), and metabolically unhealthy overweight and obesity (MUHO). Based on multivariate-adjusted models, the risk of CKD was significantly higher in MUHO compared with MHNW (OR: 1.48; p < 0.05). Although MUHNW and MUHO were associated with lower eGFR and albuminuria, the significant association was not observed in case of hematuria. Furthermore, subjects with kidney stones tended to be in MHO (OR: 1.42; p < 0.05) and MUHO phenotypes (OR: 1.64; p < 0.05), in comparison to the MHNW phenotype. The odds of kidney disorders were higher in adults with metabolic syndrome, regardless of BMI. However, this relationship might be strengthened by the concomitance of metabolic syndrome and obesity. To verify our findings, clarify the causality, and elucidate the underlying mechanisms, further research are warranted.
Association of intraosseous and intravenous access with patient outcome in out-of-hospital cardiac arrest
Authors: Nilsson Frederik Nancke , Bie-Bogh Søren , Milling Louise , Hansen Peter Martin , Pedersen Helena , Christensen Erika F. , Knudsen Jens Stubager , Christensen Helle Collatz , Folke Fredrik , Høen-Beck David , Væggemose Ulla , Brøchner Anne Craveiro , Mikkelsen Søren 
Published: November 2023

AbstractHere we report the results of a study on the association between drug delivery via intravenous route or intraosseous route in out-of-hospital cardiac arrest. Intraosseous drug delivery is considered an alternative option in resuscitation if intravenous access is difficult or impossible. Intraosseous uptake of drugs may, however, be compromised. We have performed a retrospective cohort study of all Danish patients with out-of-hospital cardiac arrest in the years 2016–2020 to investigate whether mortality is associated with the route of drug delivery. Outcome was 30-day mortality, death at the scene, no prehospital return of spontaneous circulation, and 7- and 90-days mortality. 17,250 patients had out-of-hospital cardiac arrest. 6243 patients received no treatment and were excluded. 1908 patients had sustained return of spontaneous circulation before access to the vascular bed was obtained. 2061 patients were unidentified, and 286 cases were erroneously registered. Thus, this report consist of results from 6752 patients. Drug delivery by intraosseous route is associated with increased OR of: No spontaneous circulation at any time (OR 1.51), Death at 7 days (OR 1.94), 30 days (2.02), and 90 days (OR 2.29). Intraosseous drug delivery in out-of-hospital cardiac arrest is associated with overall poorer outcomes than intravenous drug delivery.
Enhanced specificity of Bacillus metataxonomics using a tuf-targeted amplicon sequencing approach
Authors: Xu Xinming , Nielsen Lasse Johan Dyrbye , Song Lijie , Maróti Gergely , Strube Mikael Lenz , Kovács Ákos T 
Published: November 2023

Abstract
Bacillus species are ubiquitous in nature and have tremendous application potential in agriculture, medicine, and industry. However, the individual species of this genus vary widely in both ecological niches and functional phenotypes, which, hence, requires accurate classification of these bacteria when selecting them for specific purposes. Although analysis of the 16S rRNA gene has been widely used to disseminate the taxonomy of most bacterial species, this gene fails proper classification of Bacillus species. To circumvent this restriction, we designed novel primers and optimized them to allow exact species resolution of Bacillus species in both synthetic and natural communities using high-throughput amplicon sequencing. The primers designed for the tuf gene were not only specific for the Bacillus genus but also sufficiently discriminated species both in silico and in vitro in a mixture of 11 distinct Bacillus species. Investigating the primers using a natural soil sample, 13 dominant species were detected including Bacillus badius, Bacillus velezensis, and Bacillus mycoides as primary members, neither of which could be distinguished with 16S rRNA sequencing. In conclusion, a set of high-throughput primers were developed which allows unprecedented species-level identification of Bacillus species and aids the description of the ecological distribution of Bacilli in various natural environment.
Functional relationships reveal differences in the water cycle representation of global water models
Authors: Gnann Sebastian , Reinecke Robert , Stein Lina , Wada Yoshihide , Thiery Wim , Müller Schmied Hannes , Satoh Yusuke , Pokhrel Yadu , Ostberg Sebastian , Koutroulis Aristeidis , Hanasaki Naota , Grillakis Manolis , Gosling Simon N. , Burek Peter , Bierkens Marc F. P. , Wagener Thorsten 
Published: November 2023

AbstractGlobal water models are increasingly used to understand past, present and future water cycles, but disagreements between simulated variables make model-based inferences uncertain. Although there is empirical evidence of different large-scale relationships in hydrology, these relationships are rarely considered in model evaluation. Here we evaluate global water models using functional relationships that capture the spatial co-variability of forcing variables (precipitation, net radiation) and key response variables (actual evapotranspiration, groundwater recharge, total runoff). Results show strong disagreement in both shape and strength of model-based functional relationships, especially for groundwater recharge. Empirical and theory-derived functional relationships show varying agreements with models, indicating that our process understanding is particularly uncertain for energy balance processes, groundwater recharge processes and in dry and/or cold regions. Functional relationships offer great potential for model evaluation and an opportunity for fundamental advances in global hydrology and Earth system research in general.
An effective visible-light driven fumarate production from gaseous CO2 and pyruvate by the cationic zinc porphyrin-based photocatalytic system with dual biocatalysts
Authors: Takeuchi Mika , Amao Yutaka 
Published: November 2023

An effective visible-light driven fumarate production from pyruvate and gaseous CO2 by cationic water-soluble zinc porphyrin based-photocatalytic system with malate dehydrogenase and fumarase was developed.
Realizing a high OER activity in new single-atom catalysts formed by introducing TMNx (x = 3 and 4) units into carbon nanotubes using high-throughput calculations
Authors: Yang Xia , Yu Guangtao , Chen Wei 
Published: November 2023

Introducing the TMN3 or TMN4 units into carbon nanotube can be considered as an effective strategy for realizing the nonprecious and highly efficient SAC catalysts for OER.
High General Health Literacy Does Not Ensure Hearing Loss Health Literacy in Mothers of Children Who Are Deaf and Hard of Hearing
Authors: Cooper Ellie , Werfel Krystal 
Published: November 2023

Purpose:
The purpose of this study was to characterize general health literacy and hearing loss health literacy for mothers of children who are deaf and hard of hearing (DHH).

Method:
Participants included 25 mothers of 2-year-old and 3-year-old children who had a diagnosis of permanent, bilateral hearing loss for at least 1 year. Measures of general health literacy and hearing loss health literacy were collected.

Results:
Results indicated that mothers had high general health literacy but had lower hearing loss health literacy skills than expected. Although mothers had high education and experience of at least 1 year of having a child with hearing loss, performance on hearing loss health literacy measures was low.

Conclusion:
Caregiver understanding of hearing loss terminology and concepts is essential for decision making regarding their child's hearing loss health care.
Autistic Children's Irritability During Social Communication Assessments
Authors: Fipp-Rosenfield Hannah L. , Levy Rachel S. , Grauzer Jeffrey M. , Kaat Aaron , Roberts Megan Y. 
Published: November 2023

Purpose:
Accurate measurement of autistic children's social communication is critical for assessing skills, setting intervention goals, evaluating change over time, determining service eligibility, and determining classroom placement. There are various types of assessments, some of which use specific tasks to elicit social communication. Structured tasks may frustrate children, inadvertently elicit irritability, and have a cascading effect on their ability to communicate. To date, no studies have evaluated how differing types of social communication assessments may exacerbate children's irritability and impact assessment scores. We examined the extent to which (a) social communication assessment type (structured vs. naturalistic) impacts autistic children's irritability and (b) child irritability is associated with social communication scores.

Method:

Autistic toddlers (
n
= 114,

M
age

= 33.09 months,
SD
= 6.15) completed the Communication and Symbolic Behavior Scales (CSBS; structured) and a 10-min play-based mother–child interaction (MCX; naturalistic). Child irritability was scored on both assessments using a global rating scale of 0–15.

Results:

Child irritability during the CSBS was significantly higher than during the MCX (
V
= 4892,
p
< .001,
r
= .68). Higher irritability was associated with lower CSBS social communication scores (
B
= −0.05,
p
= .03), but not MCX scores (
B
= 0.04,
p
= .13; Theil's
F
= 6.92,
p
= .009).

Conclusions:
Our findings suggest that the CSBS may pose unique challenges for autistic children, as it led to higher rates of irritability and negatively affected children's social communication scores. Evaluating the association between assessment type and irritability supports the complete characterization of autistic children's experience during assessments and clinicians in obtaining a more representative measure of social communication.
Self‐calibrating circuit for phase correction to support phased array antenna systems
Authors: Shafiq Zain , Anagnostou Dimitris E. , Podilchak Symon K. 
Published: November 2023

AbstractA self‐calibrating circuit system for use within active phased array antennas is presented. The system addresses the issue of unwanted channel phase imbalances and random phase errors which can deteriorate array performance. Basically, unwanted insertion phase offsets that can originate within each RF channel, due to the supporting and active circuit components and possible temperature variations, can be eliminated by our designed, simulated, and experimentally verified self‐calibrating circuit. With existing technologies and calibration approaches, it is practically difficult and time consuming to check the phase feeding accuracy, as typically a large number of data sets are required to achieve similar channel corrections. As an alternative, our proposed circuit system allows for the consecutive phase shift between RF channels to be inspected and self‐corrected within a feedback loop managed by a MATLAB‐Arduino program. The active S‐band feed system can self‐calibrate in about 25 s (or less), using commercially available phase sensors and voltage controlled phase shifters. To the best knowledge of the authors, no similar computer controlled feed‐back circuit to support the self‐correction of active phased arrays has been previously reported.
Advancing autonomous vehicle control systems: An in‐depth overview of decision‐making and manoeuvre execution state of the art
Authors: Abdallaoui Sara , Ikaouassen Halima , Kribèche Ali , Chaibet Ahmed , Aglzim El‐Hassane 
Published: November 2023

AbstractThis abstract discusses the significant progress made in autonomous vehicles, focusing on decision‐making systems and control algorithms. It explores recent advances, challenges, and contributions in the field, emphasizing the need for precise navigation and control. The paper covers various methodologies, including rule‐based methods, machine learning, deep learning, probabilistic approaches, and hybrid approaches, examining their applications and effectiveness in ensuring safe navigation. Additionally, it reviews ongoing research efforts, emerging trends, and persistent challenges related to decision‐making and manoeuvre execution in autonomous vehicles, addressing complex topics such as sensor measurement uncertainty, dynamic environment modelling, real‐time responsiveness, and safe interactions with other road users. The objective is to provide a comprehensive overview of the state of the art in autonomous vehicle navigation and control for readers.