bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spatial dynamics of phosphorus in the natural-rural-suburban-urban river sediment continuum (Qinhuai River basin, China): Insights into concentration, fractionation, and environmental risk assessment of phosphorus
Authors: Cao Yanyan , Zhu Jianzhong , Gao Zhimin , Li Sanjun , Zhu Qiuzi , Wang Hailong , Huang Qi 
Published: September 2023

Abstract
Rapid urbanisation, due to an imbalance in fitness with technological levels, has resulted in the accumulation of phosphorus (P) in river sediments, which is prone to environmental problems such as eutrophication of water bodies. However, little is known about phosphorus's geochemical composition and environmental risks in the natural-rural-suburban-urban river sediment continuum, which is an urgent need. This study investigated the concentration and fractionation of P using sequential P extraction and their influencing factors by introducing the PLS-SEM model (Partial Least Squares Structural Equation Model) along this continuum from the Qinhuai River. The results showed that the sedimentary TP concentrations and P fractions nearly increased dramatically with increasing the urbanization gradient. This spatial heterogenicity of P along a river was attributed mainly to land use patterns and sediment properties (nutrients ＞metals ＞ grain size). In addition, the highest values of TP, BAP (biologically active P) and PPI (P pollution index) were found in urban sediments among four regions, indicating a higher environmental risk of P release, which may increase the risk of eutrophication in overlying water bodies. Collectively, this work improves the understanding of the spatial dynamics of P in the natural-rural-urban river sediment continuum, highlights the need to control P pollution in urban sediments and provides a scientific basis for the future usage and disposal of P in sediments.
Bioconvection in Jeffrey nanofluid with gyrotactic organisms using CPC fractional derivative
Authors: Abbas Shajar , Nazar Mudassar , Rahimzai Ariana Abdul , Gilani Syeda Farzeen Fatima , Khan Ilyas 
Published: September 2023

Abstract
The current research examines the effects of heat and mass transfer on the motion of the Jeffrey fluid in the presence of solar radiation over a vertical plate. The study considers the presence of copper nanoparticles and gyrotactic organisms in the polyvinyl alcohol-water base fluid. A useful mathematical model for the thermal and flow behaviors of a PTSC (Parabolic trough solar collector) fixed on a solar panel is currently being developed in light of the rise in the number of devices that use solar plates. Solar energy systems that employ curved mirrors in the form of a parabolic trough to focus sunlight onto a single focal line are known as PTSCs (Parabolic trough solar collectors). The fluid passing through a plate running along the focal line is then heated by this focused sunlight. Fourier's and Fick's laws are used in mathematical modeling to solve heat, mass, and momentum equations. The dimensionless partial differential equations for energy, mass, and velocity fields are computed using the Laplace transform method. The graphical analysis concentrates on the significant effects of significant parameters, such as Grashof number, mass Grashof number, bioconvection Lewis number, electric and magnetic parameters, Prandtl number, Peclet number, and chemical reaction parameter associated with the flow properties. The temperature profile is shown to be improved by raising the volume fraction and radiation parameters. Non-Newtonian nanofluids have shown tremendous promise for heat transfer processes and have a wide range of uses in solar energy systems, thermal energy systems, and cooling microchips.
Machine-learning algorithms for the prediction of adverse prognosis in patients undergoing peritoneal dialysis
Authors: Yang Jie , Wan Jingfang , Feng Lei , Hou Shihui , Yv Kaizhen , Xu Liang , Chen Kehong 
Published: September 2023

Abstract
Background
An appropriate prediction model for the adverse prognosis before peritoneal dialysis (PD) is lacking. Therefore, we retrospectively analyzed patients who received PD to construct a predictive model for adverse prognoses using machine learning (ML).
Methods
A retrospective analysis was conducted on 873 patients who underwent PD from August 2007 to December 2020. Five commonly used machine learning algorithms are used for initial model training. Using the area under the curve and accuracy, we ranked the indicators with the highest impact and displayed them using the Shapley additive explanation (version 0.41.0) values, from which the top 20 indicators were selected to build a compact model conducive to clinical application. All model building steps are implemented in Python (version 3.8.3).
Results
A total of 824 patients were included in the analysis at the end of follow-up, 353 patients withdrew from PD (converted to haemodialysis or died), and 471 patients continued receiving PD. In complete model, the CatBoost model exhibited the strongest performance (AUC: 0.80, 95% CI: 0.76–0.83; ACC: 0.78, 95%CI: 0.72–0.83) and was selected for subsequent analysis. We reconstructed a compression model by extracting 20 key features ranked by the SHAP values, the Catboost model also showed the strongest performance (AUC: 0.79; ACC: 0.74).
Conclusions
The Catboost model built using the intelligent analysis technology of ML demonstrated the best predictive performance. Thus, our developed prediction model has potential value in patient screening before PD and hierarchical management after peritoneal dialysis.
Mobile Admission Process and Administrative Turnaround Time of Hospitalisation for Outpatients: A Retrospective Study
Authors: Chung Ho Sub , Namgung Myeong , Bae Sung Jin , Choi Yunhyung , Lee Dong Hoon , Kim Chan Woong , Kim Sunho , Jung Kwang Yul 
Published: September 2023

Abstract

Background and Objectives: This study compared the time efficiency of the hospital admission process using mobile devices versus traditional walk-in methods and assessed the usability of the mobile admission process.
Methods: This retrospective study was conducted at Chung-Ang University Gwangmyeong Hospital in South Korea (August 2022–January 2023). It compared the turnaround time of the walk-in and mobile admission processes. Patients were divided into mobile and walk-in groups based on the admission process method. Timestamp data were collected based on the flow of patients or caregivers during the admission process and extracted by examining patients’ electronic medical record log time or caregivers' electronic signatures on consent forms. Patients' arrival time at the ward was determined by referencing the log time in nursing records. Time intervals between timestamp data were calculated and compared. A questionnaire survey using the 10-item System Usability Scale was conducted with mobile admission users.
Results: The study enrolled 4,344 patients to compare the turnaround time and demographics of the mobile (n = 1,336) and walk-in (n = 3,008) admission processes. The mobile admission process had a significantly shorter turnaround time of 13.4 min compared to 22.2 min for the walk-in process. Female and younger patients, and those admitted to surgery departments were likelier to use the mobile process. Older patients were less likely to undergo mobile admissions. Linear regression analysis showed that these factors significantly affected the usability of the mobile device admission process. Female and surgery patients used the mobile admission process significantly more frequently, whereas older adults used the mobile process significantly less frequently. The System Usability Scale for mobile admission users showed a good usability score (mean 74.4).
Conclusions: The mobile admission process can reduce the task completion time compared to the traditional walk-in admission process owing to its superior usability.
A supra-annual census interval distorts the interpretation of population dynamics of tropical trees
Authors: Yamada Toshihiro , Nakabayashi Miyabi 
Published: September 2023

Abstract
Once every few years, tropical rain forests in Southeast Asia experience severe droughts, which kill trees and shrubs. However, the census intervals for forest monitoring are often supra-annual for many study sites. When an episodic drought is included in a multi-year census interval, the substantial drop in survival rates in the drought year can be rarefied by the census interval years. Here, we demonstrated an important problem caused by conventional forest monitoring using a supra-annual census interval when conducting population dynamics studies for tropical trees. We took a population transition matrix approach using data derived from an equatorial rain forest in Lambir Hills National Park, Malaysia. We found that the population growth rate (lambda) of tree species was exclusively influenced by survival rates, while the effects of growth and reproduction rates on lambda were quite limited. This suggested that the rarefaction of a substantial reduction in the survival rate by supra-annual census intervals could mask the effects of drought on lambda. This may lead to an erroneous interpretation that the tree population remains in equilibrium even after a severe drought, and thus that drought has little effect on population dynamics. Our matrix analyses showed that the impacts of drought on lambda were hard to identify when census intervals were longer than a year. This study highlighted the complexities of designing studies on the population dynamics of tropical trees. Having shown that drought reduces tree survival rates and thus has a major impact on the population dynamics of tropical forests, we need to implement a tree census to appropriately evaluate survival rates in drought years whenever they occur.
A DFT Study on Spring Property of Helicenes
Authors: Liu Xunshan , Cui Xingyuan , Zhang Xu , Wu Jian-Ping , Shen Chengshuo 
Published: September 2023

Abstract
This study focuses on investigating the spring properties of helicenes through DFT theoretical calculations. The energy change during stretching was observed by incrementally scanning the distance between both ends of the helicene from its stable state. The stiffness (k value) of each helicene was also determined at different stretching states. Interestingly, the k value was found to be non-constant during stretching, suggesting that helicenes do not behave as ideal springs. Furthermore, the effects of heteroatom doping and lateral π-extension on [6]helicene were examined, indicating that these factors have minimal impact on the spring nature of helicenes. Additionally, the study extended to longer helicenes, namely [12] and [18]helicenes. It was observed that the stiffness at the middle part of the helicene is greater than at the terminal parts, and the helical structures begin to collapse when the stretching length reaches approximately 2.5 times the stable state. We expected this work could bring innovative concept in future design of molecular devices.
Genomic and Global Gene Expression Profiling in Pediatric and Young Adult Acute Leukemia with PICALM::MLLT10 Fusion
Authors: Wang Lu , Ma Jingqun , Liu Yen-Chun , Ma Jing , Palagani Ajay , Caldwell Elizabeth , Foy Scott , Umeda Masayuki , Wilkinson Mark , Inaba Hiroto , Klco Jeffery , rubnitz Jeffrey 
Published: September 2023

Abstract
PICALM::MLLT10 fusion is a rare but recurrent genetic driver in acute leukemias. To better understand the genomic landscape of PICALM::MLLT10 (PM) positive acute leukemia, we performed genomic profiling and gene expression profiling in twenty PM-positive patients, including AML (n = 10), T-ALL/LLy (n = 8), Mixed-phenotype acute leukemia (MPAL), T/B (n=1) and acute undifferentiated leukemia (AUL) (n=1). Besides confirming the known activation of HOXA, our study suggested PHF6 disruption as a key cooperating event in PICALM::MLLT10-positive leukemias. In addition, we demonstrated differences in gene expression profiles as well as remarkably different spectra of co-occurring mutations between PM-AML and PM-ALL (including T-ALL/LLy and MPAL, T/B). Alterations affecting TP53 and NF1 are hallmarks of PM-AML and are strongly associated with disease progression and relapse, whereas EZH2 alterations are highly enriched in PM-ALL. This comprehensive genomic and transcriptomic profiling provides insights into the pathogenesis and development of PICALM::MLLT10 positive acute leukemia. The dramatic differences in the landscapes of co-occurring mutations for these related acute leukemia subtypes highlight the value of performing real-time genomic profiling of acute leukemia for molecular diagnostics.
Multi-Level State Evaluation in Complex Systems: Information Granules and Evidence Theory Approach
Authors: Reformat Marek Z. , Yager Ronald R. 
Published: September 2023

Abstract

Real-world systems often exhibit intricate complexity. Navigating and examining the conditions under which these systems operate presents various challenges. These systems are characterized by a web of interconnected inputs and subsystems organized in hierarchical way. The status of each subsystem depends on multiple inputs and the conditions of other interconnected subsystems. Additionally , articulating precise definitions for the states of these subsystems is a complex task, usually fraught with uncertainties. Experts frequently employ information granules to encapsulate imprecise quantities, basing these granules on specialized domain knowledge. These granules may manifest as linguistic terms or intervals, resulting in approximate state definitions. To the best of our knowledge , no methodology currently accommodates multiple uncertainties – including those tied to state definitions – while also offering an evaluation of the varying states across different subsystems. In this study, we present a novel technique for identifying local and global states in hierarchical, multi-component systems under conditions of uncertainty. Utilizing principles of Evidence Theory, we incorporate a recently devised method to evaluate how well uncertain objectives are met. These uncertain objectives correspond to state definitions formulated using information granules of a specific context. By measuring the extent to which the inputs to a given subsystem align with these imprecise state definitions, we can identify the most probable state the subsystem will likely be in. Our proposed method addresses various types of uncertainty when ascertaining system states. The specific areas of imprecision tackled by our approach include: 1) the vagueness and ambiguity inherent in the measurements serving as subsystem inputs, 2) the levels of uncertainty involved in defining subsystem states based on the conditions of other interconnected subsystems, and 3) the indistinct and incomplete knowledge incorporated into the definitions describing individual subsystems’ states. The paper elaborates on the intricacies of our method and includes a case study to demonstrate how system states can be identified when faced with ambiguous definitions of subsystem states.
Link Life Time and Energy-Aware Stable Routing for MANETs
Authors: Gudakahriz Sajjad Jahanbakhsh , Mirzaei Abbas , Khiavi Mina Vajed 
Published: September 2023

Abstract
One of the major problems in mobile ad hoc networks (MANETs) routing is the short lifetime of their routes. This problem has roots in the dynamic topology of the network and the limited battery capacity of its nodes. One of the solutions to upgrade the efficiency of this routing scheme is necessary to select the most stable paths to reduce the latency and the overhead arising from the routes’ reconstructions. This paper designs a routing protocol that calculates multiple stable paths between the source and the destination and then selects the best available path among them. The proposed protocol is based on the AODV protocol. In comparison with previous works on AODV, this work has two significant improvements. First, it selects only node-disjoints paths, hence failure of one path doesn’t affect other paths. Second, it selects high-quality stable routes using an efficient formula. Extensive simulations in the NS-2 environment show that the proposed protocol called ST-AODV (Stable Ad hoc On-demand Distance Vector) outperforms AODV in terms of packet delivery ratio, end-to-end delay, routing frequency, and routing overhead.
Effect of cell structure on elastoplastic behavior of closed-cell foam material
Authors: Huimin Yu , Qinzhi Fang , Xingwei Yan 
Published: September 2023

Abstract

This study conducts a numerical investigation to explore the influence of cell structure, relative density, and loading ratio on the elastic and plastic properties of closed-cell foam materials under uniaxial and multiaxial loadings. The characteristic stress-strain curves of closed-cell foam with the relative density, inner cell structure, and loading ratio are compared. Since the mechanical properties of foam materials are mainly affected by large pores, we applied the parameters: the characteristic diameter Dch and characteristic shape anisotropy αch proposed by Ref.40,41 to measure large pore size and shape in order to analyze. For better comparison, we have normalized the characteristic stress-strain data based on the uniaxial yield strength. Our findings indicate that the impact of relative density under trial loading is more significant than that under uniaxial loading. And the characteristic diameter Dch has virtually no effect on the dimensionless characteristic stress-strain curve. The characteristic shape anisotropy αch has minimal impact on the distribution of the characteristic stress-strain curves under uniaxial loading, in constract, for various values of characteristic shape anisotropy αch, significant disparities can be observed. Therefore, the early-stage elastoplastic behavior is also affected by the loading ratio. Furthermore, the stress-strain curve under different loading conditions can be modeled using Eq. 15. The parameters in Eq. 15 are determined by the loading parameters cos (3θ) and k.
The analysis of livestreaming chaos governance from the participation of non-interacting audience based on square evolutionary game model
Authors: Liu Jiangang , Zhou Lanlan , Zhang Meijuan 
Published: September 2023

Abstract
The live streaming platform has exposed chaos such as pan-entertainment, messy content, and misleading marketing, which has triggered widespread concern from people of all backgrounds in recent years. Live PK is an important live streaming mode for entertainment that converts public domain traffic to private domain traffic and enables the monetization of internet traffic. Nonetheless, as a result of the development of live streaming PK mode, the public order and social norms have been severely disrupted. This study considers the strategies of the government, the live streaming platforms, the live-streamer, and the audience to construct a four-party evolutionary game model. Through the construction of payoff matrices and replicator dynamics equations, this study explores the optimal program of multi-agent decision response logic and strategy equilibrium, and analyzes the influence of key variables such as government credibility loss, punishment of PK live-streamer by live streaming platforms, self-benefit when non-interacting audience feedback, and positive feedback probability of non-interacting audience on system performance. It is discovered that the live streaming platforms, which constitute the central niche of the live stream chaos governance ecosystem, have a significant impact on the strategies of the government, the live-streamer, and the audience. Furthermore, only when the government's punishment for the platform, the platform's punishment regulation, and the live-reward streamer's exceed the limited threshold can it promote the formation of a co-governance situation between the four parties.
An Approach For Control Of Phytopathogenic Caenorhabditis elegans N2 Via Regulation of Growth Conditions And Pleurotus ostreatus Po4
Authors: Tashyrev Oleksandr , Hovorukha Vira , Kudrys Paweł , Moliszewska Ewa , Khokhlenkova Natalia 
Published: September 2023

Abstract
Soil phytopathogenic nematodes cause great damage to agricultural plants. Different methods have been used to control them. However, this issue still requires a more effective solution. Caenorhabditis elegans (CGC Strain wild type N2) was applied as a model with E. coli OP50 used as a feeding substrate for nematodes. Our approach was based on the thermodynamically substantiated creation of growth conditions unfavorable for nematodes to suppress them irreversibly. Nematodes control effect was also enhanced via the application of the strain Pleurotus ostreatus Po4. It is based on the study of the impact of key parameters such as pH, redox potential (Eh, mV), and O2 presence as well as P. ostreatus Po4 and bacteria (Escherichia coli OP50 and a native microbial community of compost of plant residues) on nematodes. As a result, the patterns of C. elegans N2 inhibition were studied. The creation of anaerobic conditions via the application of P. ostreatus Po4 and bacteria provided the irreversible suppression of nematodes. This research contributes to the development of the foundations to preserve agricultural plants, and increase crop yield as well as the approach for environmentally friendly control of phytopathogens.
Loneliness and Health-Related Quality of Life Among Medicaid Beneficiaries Ages 18 Years and Older
Authors: Rudy Ellen T , McNamara Kelsey C , Perissinotto Carla M , Kotwal Ashwin A 
Published: September 2023

Abstract
Loneliness has adverse health effects across all ages. While several social determinants of health are well-characterized among Medicaid-enrolled adults, loneliness and social connection needs are routinely left out. This study assessed the prevalence of loneliness, and association of loneliness with health-related quality of life, among Medicaid-enrolled adults. Medicaid beneficiaries (n=2,054) responded to a companion care program enrollment survey (UCLA 3-Item Loneliness Scale; CDC Healthy Days Measure). Findings reveal loneliness was prevalent among all age groups (lonely: 35.3%; severely lonely: 11.2%), with an increase in loneliness observed with older ages (18-29 years old: 28.6%, 6.0%; 50-59 years old: 37.1%, 16.9%). Loneliness was associated with significantly increased unhealthy days. Findings suggest a need for heightened focus on and expansion of interventions addressing loneliness among adults receiving Medicaid benefits.
Global Convergence of the Infinite-Dimensional Newton’s Method for the Regularized $P$-Stokes Equations
Authors: Schmidt Niko 
Published: September 2023

Abstract

The motion of glaciers can be simulated with the $p$-Stokes equations. Up to now, Newton's method to solve these equations has been analyzed in finite-dimensional settings only. We analyze the problem in infinite dimensions to gain a new viewpoint. We do that by proving global convergence of the infinite-dimensional Newton's method with Armijo step sizes to the solution of these equations. We only have to add an arbitrarily small diffusion term for this convergence result. We prove that the additional diffusion term only causes minor differences in the solution compared to the original $p$-Stokes equations under the assumption of some regularity. Finally, we test our algorithms on two experiments: A reformulation of the experiment ISMIP-HOM $B$ without sliding and a rectangle with sliding. For the former, the approximation of exact step sizes for the Picard iteration and exact step sizes and Armijo step sizes for Newton's method are superior in the experiment compared to the Picard iteration. For the latter experiment, Newton's method with Armijo step sizes needs many iterations until it converges fast to the solution. Thus, Newton's method with approximately exact step sizes is better than Armijo step sizes in this experiment.
MSC Classification: 65N12 , 35Q35 , 76D03 , 76D07