bluuebunny/crossref_metadata_2025_split huggingface dataset:
The association of micro and macro worries with psychological distress in people living with chronic kidney disease during the COVID-19 pandemic
Authors: Ford Ella C. , Sohansoha Gurneet K. , Patel Naeema A. , Billany Roseanne E. , Wilkinson Thomas J. , Lightfoot Courtney J. , Smith Alice C. 
Published: October 2024

Background
Psychological distress can be exacerbated by micro (personal) and macro (societal) worries, especially during challenging times. Exploration of this relationship in people with chronic kidney disease is limited.

Objectives
(1) To identify the types and levels of worries concerning people with chronic kidney disease in the context of the COVID-19 pandemic; (2) to explore the association of worries with psychological distress including depression, stress, anxiety, and health anxiety.

Design and participants
A cross-sectional online survey collected data at two time points (Autumn 2020, n = 528; Spring 2021, n = 241). Participants included kidney transplant recipients and people with non-dialysis dependent chronic kidney disease.

Measurements
The survey included questions about worry taken from the World Health Organisation COVID-19 Survey, the Depression, Anxiety and Stress Scale, and the Short Health Anxiety Index. Data were analysed using descriptive statistics and multiple regression.

Results
Worries about loved ones’ health, the healthcare system becoming overloaded, losing a loved one, economic recession, and physical health were the highest rated concerns. Worrying about mental health was associated with higher depression, stress, anxiety, and health anxiety. Worrying about physical health was associated with anxiety and health anxiety. Worrying about losing a loved one was associated with health anxiety, and worrying about not being able to pay bills was associated with stress.

Conclusions
People with kidney disease reported micro and macro worries associated with psychological distress during the COVID-19 pandemic. This study highlights factors that should be considered to improve the mental health and well-being of people with kidney disease.
RSBagging: An ensemble classifier detecting the after-effects of ischemic stroke through EEG connectivity and microstates
Authors: Wang Fang , Zhang Xueying , Zhang Peng , Hu Fengyun 
Published: October 2024

Background and purpose
Stroke can lead to significant after-effects, including motor function impairments, language impairments (aphasia), disorders of consciousness (DoC), and cognitive deficits. Computer-aided analysis of EEG connectivity matrices and microstates from bedside EEG monitoring can replace traditional clinical observation methods, offering an automatic approach to monitoring the progression of these after-effects. This EEG-based method also enables quicker and more efficient assessments for medical practitioners.

Methods
In this study, we employed Functional Connectivity features that extract spatial representation and Microstate features that focus on the time domain representation to monitor the after-effects of ischemic stroke patients. As the dataset from stroke patients is heavily imbalanced across various clinical after-effects conditions, we designed an ensemble classifier, RSBagging, to address the issue of classifiers often favoring the majority classes in the classification of imbalanced datasets.

Results
The experimental results demonstrate that different connectivity matrices are effective for three classification tasks: consciousness level, motor disturbance, and stroke location. Using our RSBagging model, all three tasks achieve over 98% accuracy, sensitivity, specificity, and F1-score, significantly outperforming the existing classifiers SVM, XGBoost, and Random Forest.

Conclusion
Therefore, the RSBagging classifier based on connectivity matrices offers an effective method for monitoring the after-effects in stroke patients.
Time to recovery from necrotizing enterocolitis and its predictors among neonates admitted to Neonatal Intensive Care Unit in Bahir Dar, Ethiopia: A retrospective follow up study, 2022
Authors: Tefera Birtukan Ayana , Ahmed Abdurahman Mohammed , Yehualashet Sisay Shewasinad 
Published: October 2024

Background
Necrotizing enterocolitis is one of the most common, life-threatening, gastrointestinal disorders in neonates. The recovery time for neonates with NEC varies depending on disease severity, prompt diagnosis, and effective treatment. Therefore, this study was intended to assess the time to recover from necrotizing enterocolitis and its’ predictors among neonates admitted to Neonatal Intensive Care Unit in Bahir Dar City, Ethiopia.

Methods
An institution-based retrospective follow-up study design was employed. A sample of 361 medical records of neonates with necrotizing enterocolitis was selected using systematic random sampling. Diagnosis of NEC in this study required clinical, laboratory and radiographic findings. The survival function was described using Kaplan Meier survival curve and log-rank test. Bivariate and multivariate Cox-proportional hazard (Cox-PH) regression models were used for analysis.

Results
The median recovery time from necrotizing enterocolitis for neonates in the neonatal intensive care unit was 12 days. The multivariable Cox-PH model showed that neonates classified as Stage III NEC (AHR: 0.42, 95% CI = 0.23–0.77) and those exposed to perinatal asphyxia (AHR: 0.51, 95% CI: 0.35–0.74) had a negative impact on NEC recovery time. However, neonates with a birth weight of 1500-2499gm (AHR: 1.65, 95% CI: 1.05–2.58) and a platelet count greater than 150,000 (AHR: 1.75, 95% CI: 1.24–2.48) had a positive effect on NEC recovery time.

Conclusion
The recovery time for neonates in the neonatal intensive care unit with necrotizing enterocolitis was longer. Comorbidities and advanced stage of NEC were associated with prolonged recovery time from NEC. However, neonates with better platelet count and birth weight greater than 1500mg had shorter recovery time from NEC.
The Role of Nutrition in Preventing Chronic Diseases
Authors: AJEWOLE ABIGAIL OMOTAYO 
Published: October 2024

Abstract
Chronic diseases such as cardiovascular disease, diabetes, and cancer are leading causes of morbidity and mortality worldwide. Nutrition plays a vital role in preventing these diseases by promoting health through balanced diets rich in nutrients and reducing the consumption of harmful substances. This article explores the connection between nutrition and chronic disease prevention, reviewing various studies and offering practical recommendations for diet-based interventions aimed at reducing the risk of chronic illnesses.
Investigating the Role of Human Brands in Developing Media Literacy and Critical Thinking of Consumers: A Longitudinal Study
Authors: Ghorbani Asiabar Dr. Mojtaba , Ghorbani Asiabar Morteza , Ghorbani Asiabar Alireza 
Published: October 2024

In the information age, media literacy and critical thinking have become essential skills for consumers. This longitudinal study examines the role of human brands in developing these vital competencies. Utilizing a mixed-methods research design, data were collected from 500 participants over an 18-month period. Multiple regression analysis revealed that engagement with credible human brands significantly increased consumers' ability to detect fake news (β = 0.42, p < 0.001). Furthermore, repeated measures ANOVA demonstrated that participants' critical thinking skills improved significantly over time (F(2, 998) = 15.73, p < 0.001, η² = 0.03). Qualitative interviews provided deep insights into the underlying mechanisms of this influence. These findings have important implications for marketers, policymakers, and educators in promoting media literacy.
The study employed a novel approach by combining quantitative assessments with in-depth qualitative analysis, providing a comprehensive understanding of the phenomenon. Structural equation modeling (SEM) was used to test the hypothesized relationships between human brand engagement, media literacy, and critical thinking (CFI = 0.95, RMSEA = 0.06). The results highlight the potential of human brands as educational conduits in an increasingly complex media landscape.
This research contributes to the growing body of literature on influencer marketing and media education, offering practical strategies for leveraging human brands to enhance consumer competencies. Future studies could explore the long-term retention of these skills and their application across different cultural contexts.
Comparative Impacts of Ex-Ante and Ex-Post Regulation in Digital Markets: An Event Study Analysis of Stock Price Reactions
Authors: Arai Koki 
Published: October 2024

Abstract
In the analysis of digital markets and competition, it is imperative to consider the regulatory landscape. Specifically, with the shift from ex post to ex ante regulation in competition law, establishing a competitive environment reflective of regulatory costs becomes imperative. This study investigates the market’s assessment of ex ante regulation through stock price event analysis. The findings reveal that the market perceives a 10–20 % negative impact on businesses from ex ante regulation for each event upon finalization of the regulatory framework or identification of regulated entities. Unlike ex-post regulation, which targets specific businesses and yields varied impacts in competition law violations, ex ante regulation’s broader influence is remarkable. ex ante regulation incurs significant business costs, with the market assessing its impact as surpassing that of ex-post regulation when viewed holistically. Acknowledging these regulatory costs underscores the imperative for stringent oversight to guarantee the attainment of regulatory aims and objectives.
Experimental and numerical investigation on composite beam–column joint connection behavior using different types of connection schemes
Authors: Askar Lawend Kamal , Al-Darzi Suhaib Yahya Kasim , Al-Sulayfani Bayar Jafar Mohamed 
Published: October 2024

Abstract
Over the past few decades, composite joints have been regarded as one of the most promising approaches. After reviewing the research articles dealing with composite beam-column joints, it can be withdrawn that few researchers studied and developed different types of composite beam-column joints. The objectives of this paper to study the effect and behavior of different connection types on the composite beam – column joint under repeated loading as well as to investigate new forms of slab connection with column flange in composite connection joints, aiming to enhance the behaviors of the joints and make the slab endure a part of the load in a more efficient way. Five specimens with various connection types were tested to failure; the composite model number two (CM2) was considered the control specimen. Regarding the ultimate moment, the result found that CM5 has moment 50.47% more than control specimen, the lowest rotation value was in CM5. The general behaviours of the FEM were in good accordance with the experiment results. According to the parametric a higher yield strength is more rigid stiffer, the effect of web thickness on the load is too small and increase in load resistance with an increase in beam flange thickness.
Research on spatial correlation structure of war heritage based on field theory. A case study of Jinzhai County, China
Authors: Zhang Peng , Dong Wei 
Published: October 2024

Abstract
The value of war heritage is usually reflected in the historical process constituted by the correlation among many heritages rather than a single heritage itself. Traditional heritage protection strategies often focus on ontological protection of heritage, while the inherent relevance between heritage due to their joint participation in historical events is often ignored. Therefore, it is extremely necessary to connect the scattered heritage sites spatially through certain logic, to show the historical process as a whole, and to maximize the integration and protection of the entire resources of the heritage protection mode. Taking the war heritage of Jinzhai as the object, this article analyzes the overall distribution characteristics of the war heritage and the formation process of the war heritage field on the basis of the field theory, and then puts forward the spatial sorting steps based on historical events. The research shows that it is feasible to use key historical events to organize the space of many war heritages to obtain a kind of integrated structure, which can be used as the basic framework for the future use of heritage protection, tourism development, heritage display, and utilization.
Multi-hazard modeling of erosion and landslide susceptibility at the national scale in the example of North Macedonia
Authors: Milevski Ivica , Aleksova Bojana , Lukić Tin , Dragićević Slavoljub , Valjarević Aleksandar 
Published: October 2024

Abstract
Due to favorable natural conditions and human impact, the territory of North Macedonia is very susceptible to natural hazards. Steep hillslopes combined with soft rocks (schists on the mountains; sands and sandstones in depressions), erodible soils, semiarid continental climate, and sparse vegetation cover give a high potential for soil erosion and landslides. For this reason, this study presents a multi-hazard approach to geohazard modeling on the national extent in the example of North Macedonia. Utilizing Geographic Information Systems, relevant data about the entire research area were employed to analyze and assess soil erosion and susceptibility to landslides and identify areas prone to both hazards. Using the Gavrilović Erosion Potential Method (EPM), an average value of 0.36 was obtained for the erosion coefficient Z, indicating low to moderate susceptibility to erosion. However, a significant area of the country (9.6%) is susceptible to high and excess erosion rates. For the landslide susceptibility assessment (LSA), the Analytical hierarchy process approach is combined with the statistical method (frequency ratio), showing that 29.3% of the territory belongs to the zone of high and very high landslide susceptibility. Then, the accuracy assessment is performed for both procedures (EPM and LSA), showing acceptable reliability. By overlapping both models, a multi-hazard map is prepared, indicating that 22.3% of North Macedonia territory is highly susceptible to erosion and landslides. The primary objective of multi-hazard modeling is to identify and delineate hazardous areas, thereby aiding in activities to reduce the hazards and mitigate future damage. This becomes particularly significant when considering the impact of climate change, which is associated with increased landslide and erosion susceptibility. The approach based on a national level presented in this work can provide valuable information for regional planning and decision-making processes.
Effects of nanoparticles on the anaerobic digestion properties of sulfamethoxazole-containing chicken manure and analysis of bio-enzymes
Authors: Zhen Xiaofei , Zhan Han , Jiao Ruonan , Li Ke , Wu Wenbing , Feng Lei , Du Tie 
Published: October 2024

Abstract
Medium-temperature anaerobic digestion experiments lasting for 55 days were conducted using sulfamethoxazole (SMX)-containing chicken manure in sequential batch reactors added with nano-Fe2O3 at a concentration of 300 mg·kg−1·TS or nano-C60 at a concentration of 100 mg·kg−1·TS. The effects of nanoparticles on the anaerobic digestion properties of SMX-containing chicken manure were assessed by measuring the following indicators: biogas production by anaerobic digestion, chemical parameters, enzyme concentrations, and bacterial diversity and changes in antibiotic concentrations over time. The law of bacterial degradation of SMX was analyzed. The results showed that (1) adding either nano-Fe2O3 or nano-C60 promoted biogas production by anaerobic production from chicken manure containing different concentrations of SMX, and the cumulative biogas production in Fe2O3 and nano-C60 increased by 35.4% and 130.7%, respectively. The final cumulative biogas productions in different groups were as follows: 3,712(CK), 4,281(S1), 3,968(S2), 4,061(S3), 4,498(S4), and 4,639(S5) mL and the final concentration of SMX residues varied between 99.79% and 99.94%; (2) Bacterial abundance at the phylum level: on day 1, Firmicutes and Bacteroidota were the main dominant bacterial phyla, with relative abundances of 45.13–68.53% and 26.12–48.32%, respectively. The addition of nanoparticles increased the abundance of Bacteroidota in S4 and S5 significantly. The abundance of Bacteroidota was slightly higher in the group added with nanoparticles than in S2. On day 50, Firmicutes became the dominant bacterial phylum, and its relative abundance varied little across the groups, ranging from 90.87% to 94.54%; (3) At different stages, the bacterial community structure at the genus level was dramatically affected by substrates. As nutrients were being depleted, some bacterial communities lost their original competitive advantages. On day 5, the relative abundance of Prevotella increased. Especially, the relative abundances of Prevotella in S4 and S5 added with nanoparticles were lower than that in S2 by 8–10%. On day 15, the relative abundance of Prevotella in S2 decreased compared with the control group CK. A decrease was also observed in S4 and S5, although to a smaller extent than in S2.
Sustainable concrete production: Partial aggregate replacement with electric arc furnace slag
Authors: Chadee Aaron Anil , Narine Kristyn Lakshmi , Maharaj Davatee , Olutoge Festus , Azamathulla Hazi Mohammad 
Published: October 2024

Abstract
The pursuit of sustainability in the construction industry has stimulated interest in seeking environmentally friendly alternatives to natural aggregates in concrete production. This study evaluates the behavior of concrete when electric arc furnace (EAF) slag is used as aggregates in its production. The primary research gap filled by this study is to deduce the blend of the fine and coarse EAF slag aggregates that would produce concrete of comparative strengths to concrete made with natural aggregates. Concrete mixtures were formulated using varied EAF slag content in the proportions of 0, 10, 15, 25, and 50%, respectively. The compressive strength values increased as the EAF slag content increased. However, this trend was not evident for the density and tensile strength values. The concrete mixture containing 25% EAF slag with 15% fine and 20% coarse EAF slag aggregates had the greatest density value of 2550.00 kg/m3 and the tensile strength value of 4.8 Pa respectively. This could be due to the distribution of the fine and coarse aggregate grains in the mixture. Since the percentage of fine and coarse aggregate grains were 10 and 15%, respectively, it was a close enough range for the fines to fill in the void spaces. This made the mixture more compact which resulted in a higher density and tensile strength values.
Sentiment Analysis of Chinese Ancient Poetry Based on Multidimensional Attention Under the Background of Digital Intelligence Integration
Authors: Liu Zhongbao , Zhao Wenjuan 
Published: October 2024

Abstract
Poetry was a unique literary genre in ancient China as an important way to express sentiments. Chinese ancient poetry not only has simple words, strict meters and rich semantic relationships, but also widely uses rhetorical techniques such as simile and personification, as well as metaphorical means such as allusion and imagery, which makes it difficult to understand their implicit sentiments quickly and accurately. Therefore, this paper attempts to make full use of the semantic features of Chinese ancient poetry text and the knowledge feature of related domains under the guidance of the research paradigm of digital intelligence integration, and based on which, proposed Sentiment Analysis Model of Chinese Ancient Poetry based on Multidimensional Attention (SAMCAP). This model extracts semantic features from Chinese ancient poetry text, meanwhile designs a multidimensional attention to extract the knowledge feature from the knowledge base of Chinese ancient poetry. The recognition of Chinese ancient poetry sentiment is performed by integrating the textual feature and knowledge feature. Comparison experiments on the open ancient poetry corpus verified the effectiveness of the proposed model, and the ablation experiment explored the importance of different knowledge to the sentiment analysis result of Chinese ancient poetry.
Brouwer's conjecture for the sum of the k largest Laplacian eigenvalues of some graphs
Authors: Wang Ke , Lin Zhen , Zhang Shumin , Ye Chengfu 
Published: October 2024

Abstract
Let

G

G

be a graph with

n

(

G

)

n\left(G)

vertices and

e

(

G

)

e\left(G)

edges, and

S

k

(

G

)

{S}_{k}\left(G)

be the sum of the

k

k

largest Laplacian eigenvalues of

G

G

. Brouwer conjectured that

S

k

(

G

)

≤
e

(

G

)

+

k
+
1

2

{S}_{k}\left(G)\le e\left(G)+\left(\phantom{\rule[-0.75em]{}{0ex}},\genfrac{}{}{0.0pt}{}{k+1}{2}\right)

for

1
≤
k
≤
n

(

G

)

1\le k\le n\left(G)

. In this article, we obtain upper bounds of

S

k

(

G

)

{S}_{k}\left(G)

in terms of the graphs that contain the friendship graph or the book graph as a subgraph. Further, we show that Brouwer’s conjecture holds for Halin graphs and certain classes of graphs.
Anisotropic nonlinear optical responses of Ta2NiS5 flake towards ultrafast logic gates and secure all-optical information transmission
Authors: Yan Lei , Gong Ziyao , He Qinyong , Shen Dechao , Ge Anping , Dai Ye , Ma Guohong , Sun Liaoxin , Zhang Saifeng 
Published: October 2024

Abstract
Optical logic gates based on nonlinear optical property of material with ultrafast response speed and excellent computational processing power can break the performance bottleneck of electronic transistors. As one of the layered 2D materials, Ta2NiS5 exhibits high anisotropic mobility, exotic electrical response, and intriguing optical properties. Due to the low-symmetrical crystal structures, it possesses in-plane anisotropic physical properties. The optical absorption information of Ta2NiS5 is investigated by anisotropic linear absorption spectra, femtosecond laser intensity scanning (I-scan), and non-degenerate pump-probe technology. The I-scan results show a distinct maximum of ∼4.9 % saturable absorption (SA) and ∼4 % reverse saturable absorption (RSA) at different polarization directions of the incident laser. And, these unique nonlinear optical (NLO) properties originate from the anisotropic optical transition probability. Furthermore, the novel Ta2NiS5-based all-optical logic gates are proposed by manipulating the NLO absorption processes. And, the all-optical OR and NOR logic gates possess an ultrafast response speed approaching 1.7 THz. Meanwhile, an all-optical information transmission method with higher security and accuracy is achieved, which has promising potential to avoid the disclosure of information. This work provides a new path for designing versatile and novel optical applications based on Ta2NiS5 materials.
The crystal structure of 4,5-bis((Z)-chloro(hydroxyimino)methyl)-1H-imidazol-3-ium chloride monohydrate
Authors: Li Yunlu , Zhou Rui , Wang Bo , Fan Shengping 
Published: October 2024

Abstract
C5H7Cl3N4O3, monoclinic, P21/c (no. 14), a = 5.745(3) Å, b = 29.120(13) Å, c = 6.813(3) Å, β = 107.649(6)°, V = 1086.1(9) Å3, Z = 4, R

gt
(F) = 0.0411, wR

ref
(F
2) = 0.1163, T = 296 K.
Crystal structure of (((4-chlorophenyl)sulfonyl)glycinato-κ
2
N,O)bis(1,10-phenanthroline-κ
2
N,N′)cobalt(II) tetrahydrate, C32H30ClCoN5O8S
Authors: Liu Zheng-Jun , Chen Xiao-Miao , Wu Qiang , Zhou Wu-Chao , Jiao Xu-Min , Tan Juan 
Published: October 2024

Abstract
C32H30ClCoN5O8S, monoclinic, P21/c (no. 14), a = 14.5008(9) Å, b = 13.6648(9) Å, c = 17.9741(12) Å, β = 113.086(2)°, V = 3276.4(4) Å3, Z = 4, R

gt
(F) = 0.0620, wR

ref
(F
2) = 0.1696, T = 293(2) K.