bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association between sleep apnea-specific hypoxic burden and severity of coronary artery disease
Authors: Zhang Hehe , Liu Honghong , Jiao Yuanni , Zhang Jing , Covassin Naima , Wang Mu , Lin Yun , Xie Jiang 
Published: February 2024

Abstract
Purpose
Sleep apnea-specific hypoxic burden (SASHB) is a polysomnographic metric that comprehensively measures the degree of nocturnal desaturation caused by obstructive sleep apnea. This research was conducted to elucidate the relationship between SASHB and coronary artery disease (CAD) severity.

Methods
We carried out a prospective study of hospitalized patients with CAD of unstable angina who were expected to undergo invasive coronary angiography at Beijing Anzhen Hospital from February to September 2023. SASHB values were calculated using a self-programmed C +  + program. Multivariable logistic regression analysis was applied to identify the association between SASHB and the prevalence of severe CAD, documented by the Gensini Score, and the SYNTAX (Synergy between Percutaneous Coronary Intervention With Taxus and Cardiac Surgery) Score.

Results
This study enrolled 137 patients with a median age of 59 years, 96 (70.1%) of whom were male. A total of 125 (91.2%) patients had coronary stenosis of ≥ 50% in at least one location. Patients with a high SASHB of ≥ 18% min/h had a significantly higher Gensini Score (32.0 vs. 18.5, P = 0.002) and SYNTAX Score (14.0 vs. 7.0, P = 0.002) than those with a low SASHB. After adjusting for multiple covariates, a high SASHB was significantly associated with the prevalence of severe CAD, determined by a Gensini Score ≥ 21 (OR 2.67, P = 0.008) or a SYNTAX Score > 22 (OR 4.03, P = 0.016).

Conclusion
Our findings revealed a robust and independent association between SASHB and CAD severity in patients with unstable angina, highlighting the potential value of SASHB as a predictor of risk and a target for interventions aimed at preventing cardiovascular diseases.

Trial registration
Chinese Clinical Trial Registry No. ChiCTR2300067991 on February 2, 2023.
Measurement Invariance of a Quality-of-life Measure, CASP-12, within the English Longitudinal Study of Ageing (ELSA)
Authors: Alattas Ali , Shuweihdi Farag , Best Kate , Nikolova Silviya , West Robert 
Published: February 2024

AbstractCASP-12 is a frequently used quality of life scale for older people, but limited efforts have been made to test the factor structure or to explore the measurement consistency of the scale across key characteristics. The aim of this study is to examine if the CASP-12 questionnaire has a well-defined factor structure with a second-order structure factor nested within four first-order domains: control, autonomy, pleasure, and self-realization. The study also aims to investigates if this factor structure is interpreted similarly by respondents of different genders, ages, educational levels, net wealth, and at two time periods, using a multi-group confirmatory factor analysis (MG-CFA). The results show that CASP-12 with lower four first-order domains (CASP-12-4D) is consistent across genders and two time periods and satisfies the second-order strong-invariance criteria. Furthermore, the instrument demonstrates consistency in weak levels across three age groups (50–59, 60–69, and 70–90), educational levels and net wealth, but not strong invariance. The sample was divided into three subsamples based on age groups to address this issue. The consistency of CASP-12-4D has met the second-order strong invariance level requirement across gender, age, education level and two-time periods. Net wealth however still fails to meet the strong invariance levels. The CASP-12-4D version will suit social and public health research which controls for age and wealth status.
Estimating scope 3 greenhouse gas emissions through the shareholder network of publicly traded firms
Authors: Mejia Cristian , Kajikawa Yuya 
Published: February 2024

AbstractAccounting for scope 3 emissions from investments remains a challenge due to a lack of adequate data and guidelines that do not accommodate the systemic role of firms in the financial chain. Here, we use network analysis to estimate investment-associated scope 3 carbon emissions of public firms. Using shareholder data from publicly traded firms listed on the Tokyo Stock Exchange, we identified the most influential firms by their ownership share values. Environmental responsibility can then be assigned by distributing the carbon footprint in the network to each of these influential firms. The industrial services, including trading and manufacturing, and financial services industries were found to be the largest source of scope 3 emissions in the investment network. In particular, the influential role of financial firms is reflected by having the largest increase in carbon allocation after the adjustment. This research contributes to ongoing efforts to improve carbon disclosure through methods that accommodate complex interactions among firms and to quantitatively reveal the overlooked responsibility of investors in carbon emissions.
High Homocysteine-Thiolactone Leads to Reduced MENIN Protein Expression and an Impaired DNA Damage Response: Implications for Neural Tube Defects
Authors: Bai Baoling , Wan Chunlei , Xiao Zonghui , Li Dan , Liu Lingyun , Zhang Kexin , Zhang Ting , Zhang Qin 
Published: February 2024

AbstractDNA damage is associated with hyperhomocysteinemia (HHcy) and neural tube defects (NTDs). Additionally, HHcy is a risk factor for NTDs. Therefore, this study examined whether DNA damage is involved in HHcy-induced NTDs and investigated the underlying pathological mechanisms involved. Embryonic day 9 (E9) mouse neuroectoderm cells (NE4C) and homocysteine-thiolactone (HTL, active metabolite of Hcy)-induced NTD chicken embryos were studied by Western blotting, immunofluorescence. RNA interference or gene overexpression techniques were employed to investigate the impact of Menin expression changes on the DNA damage. Chromatin immunoprecipitation-quantitative polymerase chain reaction was used to investigate the epigenetic regulation of histone modifications. An increase in γH2AX (a DNA damage indicator) was detected in HTL-induced NTD chicken embryos and HTL-treated NE4C, accompanied by dysregulation of phospho-Atr-Chk1-nucleotide excision repair (NER) pathway. Further investigation, based on previous research, revealed that disruption of NER was subject to the epigenetic regulation of low-expressed Menin-H3K4me3. Overexpression of Menin or supplementation with folic acid in HTL-treated NE4C reversed the adverse effects caused by high HTL. Additionally, by overexpressing the Mars gene, we tentatively propose a mechanism whereby HTL regulates Menin expression through H3K79hcy, which subsequently influences H3K4me3 modifications, reflecting an interaction between histone modifications. Finally, in 10 human fetal NTDs with HHcy, we detected a decrease in the expression of Menin-H3K4me3 and disorder in the NER pathway, which to some extent validated our proposed mechanism. The present study demonstrated that the decreased expression of Menin in high HTL downregulated H3K4me3 modifications, further weakening the Atr-Chk1-NER pathway, resulting in the occurrence of NTDs.
Estimation on Individual-Level Carbon Sequestration Capacity of Understory Perennial Herbs
Authors: Nam Bo Eun , Kim Jeong-Min , Lee Seungki , Son Youn Kyoung , Lee Byoung-Hee , Joo Youngsung 
Published: February 2024

AbstractThe carbon sequestration capacity of plants has been used as a nature-based solution to reduce carbon emissions. Perennial herbs potentially contribute to carbon sequestration by allocating carbon to belowground parts as well as trees. As individual-level estimations have mainly been carried out for tree species, individual-level carbon sequestration for understory perennial herb species is poorly understood. To estimate the below- and aboveground carbon sequestration capacity, ten perennial herb species were planted for field experiment. Individual carbon sequestration by biomass was calculated by measuring the aboveground- and estimating belowground biomass gain at harvest. We further measured non-destructive aboveground parameters, such as photosynthesis and leaf area, to estimate the belowground biomass. Four species (Aconitum jaluense Kom., Aquilegea oxysepala Trautv. & C.A.Mey., Disporum smilacinum A.Gray, and Polygonatum odoratum var. pluriflorum (Miq.) Ohwi) showed the positive belowground carbon sequestration level during the experimental period. Correlation analyses indicated that the aboveground biomass and leaf area at senescence stage could be used as non-destructive estimates of belowground carbon sequestration. The perennial herb species habitat suitability for use as additional carbon sinks in urban forests and for forest restoration should be assessed based on the increase in belowground biomass.
The flipped classroom: first-time student preparatory activity patterns and their relation to course performance and self-regulation
Authors: Omarchevska Yoana , van Leeuwen Anouschka , Mainhard Tim 
Published: February 2024

AbstractIn the flipped classroom, students engage in preparatory activities to study the course materials prior to attending teacher-guided sessions. Students’ success in the flipped classroom is directly related to their preparation and students tend to change their preparation activity over time. Few studies have investigated why students change their preparation activity. Therefore, we address this gap by first clustering university students (N = 174) enrolled in a flipped course for the first time based on their preparatory activities at three time points. We identified distinct preparatory activity patterns by computing changes in cluster membership. Next, we compared students’ preparatory activity patterns in course performance, motivation, and self-regulation. The temporal investigation of activity patterns provided important insights into how preparation (or lack thereof) at different phases relates to course performance. Intensive preparation only at the beginning of the course was related to significantly worse course performance whereas preparation only in the middle of the course was related to higher course performance. Students who performed intensively during the course had significantly higher course performance, higher intrinsic motivation at the beginning, and higher self-regulation (in particular, time management) in the middle of the course than students showing lower activity during preparation. Our findings provide important implications for future research and educational practice, particularly for students transitioning to flipped classroom learning for the first time.
MicroRNA cross-talk between Monilinia fungal pathogens and peach host
Authors: Arslan Kubra , Ozkilinc Hilal 
Published: February 2024

AbstractThe reciprocal targeting of microRNAs (miRNA) and micro-like-RNAs (milRNA) between hosts and pathogens is critical for understanding their interactions. In this study, reciprocal miRNA targets were explored in two Monilinia fungal pathogens, M. fructicola & M. laxa, and their peach host (Prunus presica). Using in silico analysis, 355 and 266 putative miRNAs were predicted for M. fructicola and M. laxa, respectively. Number of miRNAs and their targets differed based on host and pathogen species as 209 M. fructicola miRNAs target 98 peach genes and 128 M. laxa miRNAs target 338 peach genes. On the other hand, peach miRNAs showed the species-specific responses targeting fungal pathways to struggle with its pathogens. These findings indicate distinct strategies and species-specific interactions in this pathosystem. Besides, through the in vitro experimental designs, 166 and 124 expressed miRNAs by M. fructicola were detected in the host-mimicked and control environments, respectively. Additionally, novel miRNAs were discovered, six of which were in the mimicked environment and the seven in the controlled environment as highlighting dynamic and specialized miRNA expression in M. fructicola depending on the environmental conditions. In conclusion, this study provides the first insights into miRNA-mediated interactions between M. fructicola, M. laxa, and peach hosts. Unrevealing the cross talk through the miRNAs in host–pathogen interactions enhances the understanding of pathogenesis and host defense mechanisms. These findings have implications for disease management strategies and contribute to the fields of basic science and evolutionary biology.
More reliable determination of daily evaporation from the pan in cold regions by limited meteorological factors
Authors: Mohammadi Mehdi , Salarijazi Meysam , Ghorbani Khalil , Dehghani Amir-Ahmad 
Published: February 2024

AbstractEvaporation from water surfaces is influencing many environmental science processes. Evaporation from pan data is not available as the most well-known method of determining evaporation in many areas, and therefore, the application of experimental mathematical equations in this field is considered. Most of the data for extracting these equations did not belong to cold regions, and as a result, the accuracy of these equations in cold regions has low reliability. In this study, the equations of Trabert (Meteorol Z 13:261–263, 1896), Kohler (Tech Rep Geol Survey Prof Paper 269:127–148, 1954), Kohler et al. (Evaporation from pans and lakes, US Government Printing Office, Washington, 1955), Papadakis (Soil Sci 93:76, 1961), Ântal (Evapotranspiration from com field. Term paper submitted for Dr. R. F. Dale's Agronomy 537 class. Received from personal communication with Dr. Dale (Dept. of Agronomy, Purdue, 1973), Linacre (Agric Meteorol 18:409–424, 1977), Linacre (Water Int 19:5–14, 1994) in Two default and revised modes (14 equations in total) have been used to determine evaporation in cold regions (Emberger climate classifications). Performance index (PI) as an error metric was used to analyze the efficiency of the equations. Findings show that in the absence of proper datasets for revision, Kohler et al. (Evaporation from pans and lakes, US Government Printing Office, Washington, 1955) and Papadakis (Soil Sci 93:76, 1961) equations are more proper options for determining evaporation in cold regions. The revision process increased the efficiency of all equations, with the slightest improvement for Papadakis (Soil Sci 93:76, 1961) and the most improvement for Trabert (Meteorol Z 13:261–263, 1896). According to the behavior of Papadakis (Soil Sci 93:76, 1961) equation in the revision process and its efficiency in both default and revision modes, it can be considered a firm equation in the cold region. The findings reveal that the revised equations have little efficiency difference. It indicates that in cold regions, the influence of the default parameters of the equations on efficiency is more significant than their mathematical formula of the equation. Also, the revision has led to Trabert (Meteorol Z 13:261–263, 1896) equation with relatively good results due to less relative flexibility than other equations. Therefore, it can be concluded that the essential factor to increase the reliability of the application of experimental mathematical equations in determining evaporation from the pan is the use of revised equations with data from cold regions. In addition, among all the equations studied, the revised Kohler et al. (Evaporation from pans and lakes, US Government Printing Office, Washington, 1955) equation was recognized as the most efficient equation for determining evaporation from the pan in the cold regions studied.
Saracatinib prompts hemin-induced K562 erythroid differentiation but suppresses erythropoiesis of hematopoietic stem cells
Authors: Ding Lina , Chen Diyu , Li Yuanshuai , Xie Yingjun , Sun Xiaofang , Wang Ding 
Published: February 2024

AbstractHuman myeloid leukemia cells (such as K562) could be used for the study of erythropoiesis, and mature erythroid markers and globins could be induced during leukemia cell differentiation; however, the pathways involved are different compared with those of hematopoietic stem cells (HSCs).We identified the differentially expressed genes (DEGs) of K562 cells and HSCs associated with stem cells and erythroid differentiation. Furthermore, we showed that hemin-induced differentiation of K562 cells could be induced by serum starvation or treatment with the tyrosine kinase inhibitor saracatinib. However, erythroid differentiation of HSCs was inhibited by the deprivation of the important serum component erythropoietin (EPO) or treatment with saracatinib. Finally, we found that the mRNA expression of K562 cells and HSCs was different during saracatinib-treated erythroid differentiation, and the DEGs of K562 cells and HSCs associated with tyrosine-protein kinase were identified.These findings elucidated the cellular phenomenon of saracatinib induction during erythroid differentiation of K562 cells and HSCs, and the potential mechanism is the different mRNA expression profile of tyrosine-protein kinase in K562 cells and HSCs.
Fixed points of Suzuki-generalized nonexpansive mappings in $$CAT_p(0)$$ metric spaces
Authors: Darweesh Alia Abu , Shukri Sami 
Published: February 2024

AbstractIn this work, we obtain fixed point theorems and convergence theorems for Suzuki-generalized nonexpansive mappings in complete $$CAT_p(0)$$

C
A

T
p

(
0
)

metric spaces for $$p\ge 2$$

p
≥
2

. Our results extend and improve many results in the literature.
Detection of six potato viruses using double antibody sandwich ELISA from in vitro, screen house and field grown potato crops in Ethiopia
Authors: Tessema Lemma , Kakuhenzire Rogers , Seid Ebrahim , Tafesse Shiferaw , Tadesse Yitagesu , Negash Kasaye , McEwan Margaret 
Published: February 2024

AbstractVirus infection in seed potato reduces yield, and the problem is exacerbated when an early-generation seed is affected. The prevalence of six key potato viruses, PVY, PVX, PLRV, PVA, PVS, and PVM, was assessed among decentralized seed multipliers such as individuals, farmer seed group cooperatives, private companies, and agricultural research centers that produce early generation seed in six major potato growing districts in Ethiopia. A total of 262 leaf samples were randomly collected from potato plants and analyzed using a double antibody sandwich enzyme-linked immunosorbent assay (DAS-ELISA) for six major potato viruses. Potato virus prevalence was calculated as the proportion of samples that tested positive for the viruses against the total number of samples tested. The prevalence of infection with at least one of the six viruses was 98.2%. Among the samples analyzed, 17.2% had a single viral infection with one of the six viruses while the majority had multiple infections. The ELISA tests confirmed presence of latent virus infection in early generation seeds from the three EGS producers and in different seed classes. This result indicates that virus infection is widespread in the country, limiting potato production. To address this issue, it is critical to develop a robust system that prevents viral infection build-up and spread in the seed system through regular seed quality assurance and certification, particularly for early generation seed.
Revolutionizing Somali agriculture: harnessing machine learning and IoT for optimal crop recommendations
Authors: Abdullahi Mohamed Omar , Jimale Abdukadir Dahir , Ahmed Yahye Abukar , Nageye Abdulaziz Yasin 
Published: February 2024

AbstractAgriculture drives Somalia's economy, but challenges like unpredictable weather, limited resources, and poor infrastructure hamper productivity and economic progress. Emerging technologies like machine learning and IoT offer transformative solutions, optimizing crop yield and resource use. This research demonstrates the substantial impact of integrating Machine Learning (ML) and Internet of Things (IoT) technologies to improve agricultural decisions in Somalia. The study conducts a comprehensive comparison of Decision Trees (DT), K-nearest Neighbor (KNN), and Random Forest algorithms within a Crop Recommendation System. The Decision Tree algorithm emerges as the standout performer, boasting an impressive accuracy of 99.2% and achieving well-balanced precision, recall, and F1-score metrics. Its transparency and interpretability render it an optimal choice for guiding agricultural choices. Despite slightly trailing in performance, KNN and Random Forest algorithms achieve accuracies of 97.2% and 99.0% respectively, presenting valuable alternatives for various contexts. The successful implementation of the Crop Recommendation System, particularly in Somalia's Balcad District, underscores the tangible advantages of real-time IoT data and the Decision Tree model. This system enables farmers to optimize crop selection, thereby enhancing sustainability and yield potential. In a broader context, this research underscores the capacity of data-driven agriculture to tackle food security challenges and drive economic advancement. The transparent and accurate attributes of the Decision Tree algorithm, coupled with IoT capabilities, establish a framework for modernizing traditional farming practices and shaping a more productive future for Somalia and the global agriculture. The continuous evolution of crop recommendation systems holds promise for further transformative opportunities within the agricultural sector.
Topology Control Using Optimized Clustering Scheme in Mobile Ad Hoc Network
Authors: Agrawal Shyam Sundar , Rathi Rakesh 
Published: February 2024

AbstractDue to mobile nodes (MNs), the topology of mobile ad hoc networks (MANETs) frequently varies. Clustering techniques are suggested as a solution to this. Grouping MNs in a MANET has the benefit of reducing congestion and making topology repairs simple. Clustered MN dividing is a multi-objective optimization problem when the MANET size is huge. MANET is partitioned into clusters using a variety of evolutionary methods, including genetic algorithms (GAs). GA has early convergence. Thus, an improved rabbit optimization algorithm (IROA)-based clustering is presented in this work. Using this algorithm, cluster heads (CHs) are selected. Besides, multi-objective functions are used in this algorithm for selecting suitable CHs. Based on the selected CHs, clusters are formed. To manage the topology after clustering, cluster maintenance phase is included. Simulation results of the article depict that the proposed clustering scheme achieves better throughput and energy efficiency.
Neural network modeling and prediction of HfO
2
thin film properties tuned by thermal annealing
Authors: Gao Min , Yin Chaoyi , Shao Jianda , Zhu Meiping 
Published: February 2024

Abstract
Plasma-enhanced atomic layer deposition (PEALD) is gaining interest in thin films for laser applications, and post-annealing treatments are often used to improve thin film properties. However, research to improve thin film properties is often based on an expensive and time-consuming trial-and-error process. In this study, PEALD-HfO2 thin film samples were deposited and treated under different annealing atmospheres and temperatures. The samples were characterized in terms of their refractive indices, layer thicknesses and O/Hf ratios. The collected data were split into training and validation sets and fed to multiple back-propagation neural networks with different hidden layers to determine the best way to construct the process–performance relationship. The results showed that the three-hidden-layer back-propagation neural network (THL-BPNN) achieved stable and accurate fitting. For the refractive index, layer thickness and O/Hf ratio, the THL-BPNN model achieved accuracy values of 0.99, 0.94 and 0.94, respectively, on the training set and 0.99, 0.91 and 0.90, respectively, on the validation set. The THL-BPNN model was further used to predict the laser-induced damage threshold of PEALD-HfO2 thin films and the properties of the PEALD-SiO2 thin films, both showing high accuracy. This study not only provides quantitative guidance for the improvement of thin film properties but also proposes a general model that can be applied to predict the properties of different types of laser thin films, saving experimental costs for process optimization.