bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diversity, Distribution and Abundance of Bivalves in Vembanad Backwaters – the largest Ramsar wetland in South India
Authors: Christy Ouseph , Jayalakshmi K. J 
Published: September 2023

Abstract
Present study aimed to investigate the spatial and temporal variability in the diversity, distribution and abundance of bivalves in the largest Ramsar wetland in South India, the Vembanad backwaters. Monthly sampling was carried out at 12 stations from the spreading across the northern, middle and southern regions of the backwater. A total of 20 species of bivalves, belonging to 17 genera under 9 families were recorded during the study, based on which an updated taxonomic checklist including the IUCN conservation status was compiled. Venerida, was the dominant Order (30%) comprising 2 families and 6 species followed by Ostreida (15%), Arcida (15%), Mytilidae (10%), Cardiida (10%) and Pectinida (10%). Order Myida and Unioniidae together contributed only < 5%, with a single species represented from each Order viz., Martesia striata and Lamellidens marginalis, respectively. Higher number of species (16–19 species) in the middle estuarine region. Dominance of single species, Villoritta cyprinoides recorded in the Southern (99%) as well as in the northern region. Mytella strigata, a fouling invasive bivalve species was recorded from middle and northern regions of Vembanad backwaters; Results of present study indicate that the V. cyprinoides occupied all the parts of Vembanad backwaters during all the seasons except in the estuarine region. its abundance was relatively high during the premonsoon, 51% in the middle region and 35% in the northern region. The study suggests prominent spatial variability in the distribution pattern of bivalves in Vembanad backwaters and is based on the prevailing environmental conditions.
Reliability and Validity of the German Version of the Iowa Infant Feeding Attitude Scale (IIFAS-G) and relations to breastfeeding duration and feeding method
Authors: Suppiger Debora , Natalucci Giancarlo , Reinelt Tilman 
Published: September 2023

Abstract

Background.
Despite its benefits, breastfeeding rates are declining in Western societies. As the intention to breastfeed is among the strongest predictors of breastfeeding duration, reliable tools for measuring the intention to breastfeed are needed. The Iowa Infant Feeding Attitude Scale (IIFAS) measures attitudes towards infant feeding and is used in various languages and across different cultural contexts. However, there has been no German version of the IIFAS (IIFAS-G) so far. The aim of this study was to investigate reliability, validity, and associations of the IIFAS-G with feeding method and breastfeeding duration.
Methods.
Between August and November 2022, a total of 353 mothers (Mage = 34.99 years, SDage = 4.21 years) of singleton infants (47.31% female (1 undetermined), Mage = 10.84 months, SDage = 4.66 months, age range: 3-547 days) participated in an online survey. The IIFAS-G was administered as a part of a larger study on early child development and infant feeding method.
Results.
The translated IIFAS-G showed unsatisfactory model fit for the two factor 17-item solution. Four items showed low factor loadings. After item reduction, a 13-item two factor solution showed satisfactory model fit (CFI = .92, TLI = .90, RMSEA = .07) and high internal consistency (Cronbach’s α = .85). The IIFAS-G score was higher for mothers who exclusively breastfed their infants compared to mothers who additionally or exclusively fed formula. Moreover, mothers with higher IIFAS-G scores were less likely to wean their child over the course of 1;6 years (HR = .87).
Conclusion.
A shorter two-factor IIFAS-G is proposed to investigate attitudes towards breastfeeding and formula feeding in German-speaking mothers.
Exploring Relationship of Poor Sleeping Habits with Prenatal Stress Among Pregnant Women in Pakistan: A Cross-Sectional Study
Authors: Waqas Ahmed , Siddique Irfan , Ahsen Mehroz , Zubair Muhammad , Naeem Mehak , Memon Aamir Raoof , Naveed Sadiq 
Published: September 2023

Abstract
Objective
Pregnancy is a complex phenomenon accompanied by biological, physiological and psychosocial changes for a mother. It is also regarded as a stressful life event where a woman’s role, identity and interpersonal relationships are restructured. The present study from Pakistan explores the association of sleep quality and poor sleeping habits with prenatal stress using Pittsburgh Sleep quality Index.
Results
There were a total of 516 women (mean age = 29.82 years), with more than half reporting poor sleep quality. Ethnically, a majority (395, 76.6%) were natives of the Punjab province while rest were non-natives. A high percentage of respondents reported poor subjective sleep quality (22.1%), sleep latency (44.1%), habitual sleep efficiency (27.5%), sleep disturbance (30.1%), use of medications (7.1%) and daytime dysfunction (29.5%). According to logistic regression analysis, respondents with poor sleep quality were 2.24 (95% CI = 1.55–3.22, P < 0.001) times more likely to have high stress levels (P < .001), after adjusting for age.
Genomic insights into plasmid mediated antimicrobial resistance in the bacterium Bhargavaea beijingensis strain PS04
Authors: S Seethalakshmi P , Prabhakaran Anushara , Kiran George Seghal , Selvin Joseph 
Published: September 2023

Abstract
The dissemination of antimicrobial resistant bacteria through environment is a major health concern for public health. Pathogenic bacteria in natural environment can mediate the transfer of antimicrobial resistant genes via horizontal gene transfer to naturally occurring bacteria in the soil. Bhargavaea beijingensis is a Gram-negative bacterium that is commonly found in soil and water. In recent years, there has been an emergence of antibiotic-resistant strains of environmental bacteria, which pose a significant threat to human health. One mechanism of antibiotic resistance in bacteria is through the acquisition of plasmids, which can carry genes that confer resistance to various antibiotics. In this study, a novel plasmid of repUS12 replicon type was identified in the strain PS04 of B. beijingensis, which carried the ermT and tet(L) genes, encoding resistance to macrolides, lincosamides, and tetracycline. The plasmid was found to be the first of its kind in B. beijingensis and was thought to have been acquired through horizontal gene transfer. The emergence of plasmid-mediated resistance in B. beijingensis highlights the need for continued surveillance and monitoring of antibiotic resistance in environmental bacteria.
Composite Lipid Parameters are Optimal in Predicting Chronic Kidney Disease Prognosis
Authors: Chen Hui-fen , Xiao Bing-jie , Chen Lin-yi , OuYang Wen-wei , Zhang Xian-long , He Zhi-ren , Fu Li-zhe , Tang Fang , Tang Xiao-na , Liu Xu-sheng , Wu Yi-fan 
Published: September 2023

Abstract
Background
Lipid management in clinic is critical to the prevention and treatment of CKD, while the manifestations of fat metabolism vary in type and have flexible correlations with CKD prognosis.
Purpose
Explore correlations between the widely used indicators of lipid metabolism in clinic and CKD prognosis; provide a reference for lipid management and treatment among non-dialysis CKD stages 3–5.
Methods
This is a retrospective cohort study utilizing the SMP-CKD database of 794 individuals with CKD stages 3–5. Variables with P < 0.10 in univariate Poisson models were induced to construct several timescale-based Poisson models with a stepwise regression according to lipid manifestation categories. We selected the best model via AIC, AUC and ROC and confirmed the independent relative exposures via RRs (95% CI). Subgroup analysis and sensitivity analysis were performed to assess the interaction effects and robustness.
Results
255 individuals reached the composite outcome. Median follow-up duration was 2.03 [1.06, 3.19] years. Median age was 58.35 [48.50, 66.69] years with a median eGFR of 33.68 [17.55, 47.81] ml/min/1.73 m2. The fully adjusted category-based Poisson Model 4 in Dataset 5 had the largest AUC (0.717 [0.684, 0.751]) with P for ROC < 0.05. TC (1.158 [1.056, 1.271], P = 0.002) and PBF (0.948 [0.906, 0.992], P = 0.021) were significant factors of composite outcome and no manual measurements had any statistically significance. The
NMGMDA: A Computational Model for Predicting Potential Microbe–Drug Associations based on Minimize Matrix Nuclear Norm and Graph Attention Network
Authors: Liang Mingmin , Liu Xianzhi , Chen Qijia , Zeng Bin , Wang Lei 
Published: September 2023

Abstract

For drug research and development, the probable microbe-drug associations can be predicted with considerable utility. Deep learning-based techniques have recently found widespread use in the biomedical industry and have significantly improved identification performance. Additionally, the growing body of knowledge on germs and pharmaceutical biomedicine offers a fantastic potential for methods based on deep learning to forecast hidden associations between microbes and drugs. In order to infer latent microbe-drug associations, we developed a unique computational model in this publication called NMGMDA based on the nuclear norm minimization and graph attention network. We created a heterogeneous microbe-drug network in NMGMDA by fusing the drug and microbe similarities with the established associations between drugs and microbes. Then, in order to get predicted scores of potential microbe-drug associations, we used the nuclear norm minimization approach and a GAT-based auto-encoder, respectively. The final results, which are based on two datasets and weighted average of these two predicted scores, demonstrated that NMGMDA can outperform state-of-the-art competitive approaches. Case studies further demonstrated its capacity to reliably find fresh associations.
Elevated serum osmolarity is associated with poor in-hospital prognosis in patients with cardiac arrest: A retrospective study based on MIMIC-IV database
Authors: Sun Zhangping , Cheng Zhihua , Gong Ping , Li Peijuan 
Published: September 2023

Abstract

Background
A major cause of death is cardiac arrest (CA). Serum osmolarity has been shown to be useful in predicting the prognosis of sepsis patients in earlier research. The purpose of this study is to ascertain the impact of serum osmolarity on the prognosis of cardiac arrest patients in the intensive care unit.
Methods
In this study, the relationship between serum osmolarity and in-hospital mortality in ICU patients experiencing cardiac arrest was investigated. The MIMIC-IV database was used to select adult patients with cardiac arrest diagnoses for this investigation. The serum concentrations of Na+, K+, glucose, and urea nitrogen were used to determine the serum osmolarity simultaneously.
Results
The baseline data of adult patients with CA hospitalized in the intensive care unit (ICU) from 2008 to 2019 in the American Intensive Care Database (MIMIC-IV, version v2.0) were collected. In this study, the patients were divided into survival and non-survival group, according to the 28-day prognosis. The mortality in the hyper-osmolarity group (61.96%) was significantly higher than that in the normal osmolarity group (35.51%, P < 0.001). The Kaplan-Meier survival analysis before and after matching showed that the cumulative survival rate of the hyper-osmolarity was lower (P < 0.05). The Univariate and Multivariable COX analysis of risk factors for death (After PSM) shows that hyper-osmolarity was a significant independent risk factor for 28-day mortality. It was coincident with the result of subgroup analysis.
Conclusion
The serum osmolarity would be a predictive biomarker that is accessible right after a cardiac arrest for CA survivors. It can be determined more quickly and at a lower cost. However, more research is required to assess serum osmolality's prognostic value in various patient populations.
Ordered Weighted Evaluation Method of Lifting Operation Safety Risks Considering Coupling Effect
Authors: Yang Bangjie , Jin Lianghai , Zheng Xiazhong 
Published: September 2023

Abstract
In order to accurately evaluate the safety risk degree of lifting operations and improve the safety control level of lifting operations, firstly, WBS is used to decompose the construction process of lifting operations, RBS is used to decompose the safety risk, 14 safety risk factors of lifting operations are identified, and the risk evaluation system is constructed. Then, the safety risk assessment model of lifting operations is constructed by integrating risk coupling theory, joint ordered weighting operators, and an interaction matrix to identify key risk factors and safety risk levels. Finally, taking the lifting operation construction project of Yangfanggou Hydropower Station as an example, the evaluation index system and method are applied. The results show that the high-risk safety risks of the lifting operation construction of the project are: ' Low safety awareness causes workers to operate illegally X6, ', ' Operation error caused by illegal command X10, ', ' Workers ' risky work caused by low safety awareness X11, ', ' Edge, high and climbing operation protection is not in place X13, and ' Improper binding of components caused by workers ' illegal operation X4 '. The construction of the lifting operation poses a significant risk level, and the evaluation results are consistent with the actual situation. The rationality of the evaluation system and model constructed in this paper can provide a reference for the safety management and control of the construction site of the lifting operation and the safety of the lifting operation.
Identify splenic IRF7 as nanotherapy target for tele-conditioning myocardial reperfusion injury
Authors: Ye Xiaofeng , Long Qiang , Rabi Kristina , Li Lihui , Huang Shixing , Qian Bei , Zhong Yiming , Qi Zhaoxi , Zhang Yecen , He Xiaojun , Huang Kaichen , Wang Xinming , Teesalu Tambet , Santos Hélder A. , Liu Zehua , Zhao Qiang 
Published: September 2023

Abstract
Sequestration of nanoparticles (NPs) by the mononuclear phagocyte systems challenges nanotherapy for cardiovascular diseases, due to conventionally perceived loss of therapeutic potency. Here, we revitalize cardiovascular nanotherapy through unlocking an alternative routine by re-directing nanomedicines to the spleen, leveraging its potential as a highly efficient and targeted site for remote conditioning, or tele-conditioning, myocardial reperfusion injury. The theoretical foundation underpinning is the spleen-genic nature of recruited monocytes upon myocardial reperfusion in acute-stage, which is confirmed through murine heterotopic spleen transplantation. Single-cell RNA-seq analysis identifies IRF7 as a pivotal mediator in the spleen-heart communication network, activated initially in the spleen and orchestrating functional changes in myocardial macrophages. Spleen correlated activation of IRF7 is also valid in clinically relevant myocardial reperfusion scenario in human. And in murine preclinical model, temporal inhibition of splenic IRF7 through the designed spleen targeting erythrosome engineered with targeting peptide RP182, termed as STEER NPs, mitigate the acute-stage innate immune responses and improve the cardiac function in long term. Contrarily, the therapeutic benefits are not observed from systemic inhibition, genetic knockout of IRF7 or absolute depletion of splenic monocytes, indicating the superiority of the NP-based targeted treatment settings. These findings establish the spleen as a naturally favored site for NP-based treatments, offering promising avenues for managing myocardial reperfusion injury.
SIR Epidemics in Interconnected Networks: threshold curve and phase transition
Authors: Das Saswata , Scoglio Caterina 
Published: September 2023

Abstract

For simplicity of mathematical modelling of epidemic spreading, assumption is that hosts have identical rate of disease-causing contacts. However, in real world the scenario is different. The network-based framework allows us to capture the complex interdependencies and structural heterogeneity present in real-world systems. We examine two distinct scenarios involving the dynamics of Susceptible-Infected-Recovered (SIR) in interconnected networks. In the first part, we show how the epidemic threshold of a contact network changes as a result of being coupled with another network for a fixed infection strength. The model employed in this work considers both the contact networks and interconnections as generic. We have depicted the epidemic threshold curve for interconnected networks, considering the assumption that the infection could be initially present in either one or both of the networks. If the normalized infection strengths are above the threshold curve, the infection spreads, whereas if the normalized infection strengths are below the threshold curve, the disease does not spread. This is true for any level of interconnection. In the second part, we investigate the spillover phenomenon, where the disease in a novel host population network comes from a reservoir network. We have observed a clear phase transition when the number of links or the inter-network infection rate exceeds a certain threshold, keeping all other parameters constant. We observe two regimes for spillover: a major spillover region and a minor spillover region based on interpopulation links (fraction of links between two networks) and inter-network infection strength (infection rate between reservoir and host network). If the interpopulation links and inter-network infection strength are in the major spillover region, the spillover probability is high, while if the former parameters are in the minor spillover region, the spillover probability is low. When the number of infected individuals within a reservoir network is nearly equal, and the inter-network infection strength remains constant, the threshold number of links required to achieve the spillover threshold condition varies based on the network topology. Overall, this work contributes to the understanding of SIR dynamics in interconnected networks and sheds light on the behavior of epidemics in complex systems.
In situ optical measurement of particles in sediment plumes generated by a pre-prototype polymetallic nodule collector
Authors: Mousadik Souha El , Ouillon Raphael , Muñoz-Royo Carlos , Slade Wayne , Pottsmith Chuck , Leeuw Thomas , Alford Matthew , Mikkelsen Ole , Peacock Thomas 
Published: September 2023

Abstract

Results and key insights are presented from in situ, high-resolution optical measurements of particle size distributions (PSD) for sediment plumes generated by a pre-prototype deep seabed nodule collector vehicle operating in the abyssal Pacific Ocean. The data show marked differences compared to previously reported laboratory-based, ex situ measurements. The in situ suspended sediment grain size and other key particle shape characteristics are found to be dependent on multiple factors such as the collector vehicle maneuvers, the time elapsed following discharge, and the complex hydrodynamic processes that generate the sediment in suspension. At the measuring instrument mounting height of 5m above the seabed, the PSD from a highly complex succession of straight-line maneuvers is found to converge to that of the canonical case of a simple straight-line driving maneuver within a timescale of ten minutes. Practically, our findings emphasize the need for parameterization of sediment plume transport models based on well-informed comprehensive PSDs of detrained suspended sediment measured in situ at adequate timescales and in regions no longer actively affected by active and complex hydrodynamic processes.
Hepatocyte Growth Factor: A Potential Tumor Biomarker for Diagnosis of Fibrosis and Early Hepatocellular Carcinoma
Authors: Resham Saleha , Raza Rana Muhammad , Janjua Hafeez Ullah , Manzoor Sobia 
Published: September 2023

Abstract

Objective: Improving the prognosis and reducing the prevalence and economic burden of fibrosis and early hepatocellular carcinoma (HCC) can be achieved through the assessment of a potential serum-based biomarker diagnosis, Hepatocyte Growth Factor (HGF). By utilizing this biomarker, disease management can be enhanced, leading to early detection and better outcomes, thereby mitigating the risk of premature death.Methods:we conducted an evaluation of HGF serum levels using the Enzyme Linked Immunosorbent Assay (ELISA) method. The study involved a population of 176 selected patients, out of which 79 patients met the study criteria. This included 45 patients diagnosed with fibrosis and 34 patients diagnosed with early HCC. Additionally, we collected 10 serum samples from healthy individuals to serve as the control group for comparison purposes.Inclusion Criteria: In our study, we enrolled patients who tested positive for the hepatitis C antibody and presented with concurrent fibrosis and early-stage HCC. This selection criteria ensured that our research focused on individuals with these specific medical conditions, allowing us to explore their relationship and implications further.Exclusion Criteria:Patients with any other liver complications like cholangiocarcinoma, lipoma, and hemangioma were all excluded from this study.Results:The optical density and concentration levels of HGF were measured in the serum of patients with chronic liver disease (CLD), including those diagnosed with fibrosis and early-stage HCC. The observed range for HGF concentration in these patients was 1.2474 to 3175.769877 pg/mL, with a mean value of 1.263 ± 0.07632. In contrast, the control group exhibited HGF concentration ranging from 0.3235 to 728 pg/mL, with a mean value of 0.3629 ± 0.04824.Conclusion:Innumerable studies have investigated various biomarkers for the diagnosis and prognosis of fibrosis and early-stage HCC. However, no single biomarker has emerged as the optimal choice for early detection of both conditions. AFP, commonly utilized as a liver cancer biomarker, exhibits limited value as it is absent in approximately 30% of cases, particularly in early stages. The present study on fibrosis and HCC suggests that HGF shows promise as a potential biomarker for early-stage diagnosis when combined with AFP. Based on the current findings, it is reasonable to propose that HGF can serve as a valuable diagnostic tools for fibrosis and early-stage HCC, thereby facilitating more effective treatment options.
RNA methylation patterns, immune characteristics, and autophagy- related mechanisms mediated by m6A regulatory factors in venous thromboembolism
Authors: Zhang Deshuai , Fu Winxia , Zhu Shiwei , Wang Yongli , Li Ruogu 
Published: September 2023

Abstract
Recent studies have found a link between deep vein thrombosis and inflammatory reactions. N6-methyladenosine (m6A), a crucial element in immunological regulation, is believed to contribute to the pathophysiology of venous thromboembolism (VTE). However, how the m6A-modified immune microenvironment is involved in VTE remains unclear. In the present study, we identified a relationship between VTE and the expression of several m6A regulatory elements by analyzing peripheral blood samples from 177 patients with VTE and 88 healthy controls in a public database. We used machine learning to identify essential genes and constructed a diagnostic model for VTE using multivariate logistic regression. Unsupervised cluster analysis revealed a marked difference between m6A modification patterns in terms of immune cell infiltration, inflammatory reactivity, and autophagy. We identified two m6A-related autophagy genes (i.e., CHMP2B and SIRT1) and the crucial m6A regulator YTHDF3 using bioinformatics. We also examined two potential mechanisms through which YTHDF3 may affect VTE. Altered methylation modification techniques on m6A may enhance the inflammatory reaction during the thrombosis phase and contribute to the occurrence of VTE. Increasing SIRT1–FOXO1 autophagy pathway activity may increase macrophage proliferation, inflammatory response, and VTE risk. This study established an intimate relationship between m6A alteration, the immunological milieu of VTE, and autophagy, providing further insights into the pathogenic process and development of innovative VTE therapeutics.