bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Diagnostic Value of echocardiography of the Hepatic Vein in Pulmonary Hypertension
Authors: Ghaderi Fereshteh , Vakilian Farveh , poorzand Hoorak , Bigdelu leila , alimi Hedye , Fazlinejad afsoon , afshar sara 
Published: July 2023

Abstract
Background
Doppler echocardiographic parameters of the middle hepatic vein (MHV)in detecting PHTN.
Methods
The study comprised 72 patients who were referred for right heart catheterization (RHC) to our department. All patients underwent conventional transthoracic echocardiography (TTE) the day after RHC and Doppler study of the MHV. Based on RHC and TTE results ,Patients were divided in three groups 1: patients with PHTN without significant RV dysfunction (n = 25), 2: patients with PHTN with significant RV dysfunction (n = 22), 3: patients with normal PAP (n = 25).
Results
The analysis revealed a significant relationship between A velocity and PHTN among patients with significant RV dysfunction (p = 0.033) and PHTN without significant RV dysfunction (p = 0.020). At cut-off value of 39.5 cm/s, A velocity could detect PHTN in patient with significant RV dysfunction with sensitivity and specificity of 77.3% and 56.0%, respectively. At cut-off value of 38.5 cm/s, A velocity could detect PHTN without significant RV dysfunction with sensitivity and specificity of 76.0% and 51.0%, respectively. The ROC curve analysis was performed to assess the sensitivity of the hepatic venous systolic filling fraction in detecting normal SPAP in the study population. The area under curve was 0.718. Considering the cut-off value of 0.535 for the hepatic venous systolic filling fraction, the sensitivity and specificity of S/S + D for detecting normal SPAP were 80% and 64%, respectively .
Discussion
Doppler echocardiographic parameters of the MHV could be helpful in detecting PHTN. A/S higher than 1 in PHTN was the main finding on HV Doppler assessment in PHT with and without significant RV dysfunction. HV systolic filling fraction more than 0.535 was a sensitive parameter in detecting normal PAP, therefore; HV systolic filling fraction can be used as a screening echocardiographic parameter in ruling out PHTN.
Analysis of the impact of the psychological contract, commitment and trust on the effectiveness of business coaching: Perspectives for success
Authors: FITOURI MOHAMED , zouaoui samia karoui 
Published: July 2023

Abstract

The success of newly created businesses relies heavily on the relationship between entrepreneurs and their coaches. Understanding the factors contributing to this relationship is crucial for entrepreneurial success. This study examines the influence of psychological contracts, engagement, and confidence on coaching effectiveness. Results show significant relationships between psychological contracts, engagement, and confidence in coaching relationships. This study highlights the importance of psychological contracts, engagement, and confidence in coaching entrepreneurial relationships.
Understanding these variables can improve satisfaction, performance, and goal achievement. Establishing a solid psychological contract and maintaining trust between entrepreneurs and their coaches can enhance the coaching experience and increase the likelihood of positive outcomes. Recognizing and promoting these factors can enhance the quality and efficiency of coaching engagements, contributing to the success of newly created businesses.
Clustering the Predictors of Breast Cancer Mortality
Authors: Woolsey Ted R. , Badruddoza Syed , Amin Modhurima , Lyford Conrad P. 
Published: July 2023

Abstract
Background
Over the last few decades advances have been made in the diagnosis and treatment of breast cancer (BC). Despite progress in diagnosis and treatment, no study has utilized a multidisciplinary data set outside of clinical and laboratory settings to analyze BC mortality.
Methods
Using U.S. county-level data, we find the environmental, behavioral, and demographic predictors of age-adjusted BC mortality rates, and cluster them into groups by their internal correlation. Principal components were derived to reduce data dimension, and various functional forms were utilized to predict BC mortality.
Results
We find evidence that environmental contaminants and one’s surrounding living conditions are correlated and significantly associated with BC mortality. Factors associated with poverty (e.g., low literacy, income, and female Medicaid eligibility) and lacking access to mammogram facilities also relate to BC mortality rate.
Conclusion
This methodology and data set can be used to investigate other chronic diseases, e.g., diabetes and cardiovascular disease. Mortality rates associated with these other diseases can be analyzed just as BC mortality rates were in this paper, and valuable insights discovered.
Recommendation System to Reduce Toxic Element Release
Authors: Vanu Shoaib 
Published: July 2023

Abstract
This article presents a study on the implementation of a rule-based recommendation system for identifying potential areas where the release of toxic elements can be decreased. The study focuses on utilizing a comprehensive set of rules and guidelines to provide recommendations for minimizing toxic element release. The results demonstrate the effectiveness of the recommendation system in identifying opportunities for reducing toxic element emissions. By leveraging rule-based techniques, the system offers valuable insights into areas where mitigation efforts can be implemented. This study highlights the potential of recommendation systems in promoting sustainable practices and raising awareness regarding the reduction of toxic element release. Implementing such a system can contribute to informed decision-making and facilitate the adoption of practices aimed at minimizing the release of toxic elements, thereby fostering a more environmentally friendly approach.
A new scale to assess health-facility level management: The development and validation of the Facility Management Scale in Ghana, Uganda, and Malawi
Authors: Mubiri Paul , Ssengooba Freddie , O’Byrne Thomasena , Keremani Adelaine , Namakula Justine , Chikaphupha Kingsley , Aikins Moses , Martineau Tim , Vallières Frédérique 
Published: July 2023

Abstract
Background
The increased recognition of leadership and management as a determinant of health system performance has prompted calls for research focusing on the nature, quality, and measurement of this key health system building block. In low- or middle-income contexts (LMIC), where facility-level management and performance remain a challenge, valid tools to measure leadership and management have the potential to boost performance improvements. We, therefore, sought to develop a Facility-level Management Scale (FMS) and test its reliability in the psychometric properties in three African contexts.
Methods
The FMS was administered to 881 health workers in; Ghana (n = 287; 32.6%), Malawi (n = 66; 7.5%) and Uganda (n = 528; 59.9%). Half of the sample was randomly subjected to exploratory factor analysis (EFA) and Monte Carlo Parallel Component Analysis to first explore the FMS’ latent structure. The construct validity of this structure was then tested on the remaining half of the sample using confirmatory factor analysis (CFA). The FMS’ convergent and divergent validity, as well as internal consistency, were also tested.
Results
Findings from the EFA and Monte Carlo PCA suggested the retention of three factors (labelled ‘Supportive Management’, ‘Resource Management’ and ‘Time management’). The 3-factor solution explained 51% of the variance in perceived facility management. These results were supported by the results of the CFA (N = 381; χ2 = 256.8, df = 61, p < .001; CFI = .94; TLI = .92; RMSEA [95% CI] = 0.065 [.057–.074]; SRMR = .047).
Conclusion
The FMS is an open-access, short, easy-to-administer scale that can be used to measure health workers’ perceptions of facility-level management in LMICs. When used as a regular monitoring tool, the FMS can identify key strengths or challenges pertaining to time, resources, and supportive management functions at the health facility level.
Model Driven Method for exploring Individual and Confounding Effects in Spontaneous Adverse Event Reporting Databases
Authors: Lv Bo , Li Yuedong , Shi Aiming , Pan Jie 
Published: July 2023

Abstract

Background
Spontaneous Adverse Event Reporting (SAER) databases play a crucial part in post-marketed drug surveillance. The reported odds ratio (ROR) is commonly used to detect the significant signal of AE-drug combinations. However, the typical ROR may be biased by heterogeneity from individual factors such as gender and age. In addition, confounding biases render the typical ROR far from indicative of causality. Therefore, these issues urgently require solutions.
Methods
Model driven ROR (MD-ROR) was proposed as an alternative to typical ROR to explore individual and confounding effects in SAER databases. Unlike the traditional 2*2 cross table approach, our method employed Poisson regression with two-way interactions to estimate the MD-ROR, which was shown to be equivalent to typical ROR. Subsequently, we introduce the MD-ROR under three-way interaction to reveal the heterogeneity behind pooled crude ROR and to identify subgroup effects on the signals of AE-drugs. We also introduce adjusted MD-ROR to address confounding biases by flexibly defining confound effects in the model. To test our methods, the simulation data and FDA Adverse Event Reporting System (FAERS) database were both used.
Result
The simulated data suggested the subgroup effects estimated by MD-ROR were unbiased and efficient. Additionally, the adjusted MD-ROR was more robust against confounding biases than crude ROR. Application of our method to FAERS database showed differences in drug interaction and cardiac adverse events between males and females for Midazolam existed. In addition, the AE-drug combinations, Midazolam-septic shock and Midazolam-depression, were found overestimated potentially due to confounding biases from gender.
Conclusion
Our study highlighted that MD-ROR is a promising method for exploring individual and confounding effects in SAER databases. Our method provides a bridge between SAER databases and flexibly customized models.
Cellular metabolism genes expression in the onset of diabetic nephropathy: an experimental model of diabetes mellitus.
Authors: Encinas Jéssica Freitas Araújo , Fonseca Fernando Luiz Affonso , Raimundo Joyce Regina Santos , Peiró Carlos Henrique Foncesca , Perez Matheus Moreira , Petri Giuliana , Gascón Thaís Moura , Reis Pedro Henrique Alves , Maifrino Laura Beatriz Mesiano , Alves Beatriz da Costa Aguiar , Veiga Glaucia Luciano da 
Published: July 2023

Abstract
Diabetes mellitus is a chronic disease with prospects for an increase worldwide, therefore, researches are developed to understand its metabolic implications, as well as the early signaling of the onset of the disease and possible complications. The objective of this study was to evaluate the expression profile in the genes Mct1, Mct4, Cd147, Hif-1α and Vegffor different biological matrices in rats induced to diabetes in the determined periods of: 7, 21, 30 and 40 days. Wistar rats (160-180g, n=68), divided into shamand diabetic groups evaluated according to tissue samples from the heart, brain and kidney, blood samples; being studied in classical biochemical analysis and in the determination of intergroup differential gene expression, temporally, by qPCR. The main alterations were observed in the renal tissues - decrease in the expression of Hif-1α (21x30 days) and Vegf (21x40 days), and in the brain - with significant alterations in the evaluated genes, comparing the early group (7 days) and late groups (30 and 40 days). Thus, we observed that the evaluated genes are related to metabolic changes that, over time, corroborate the worsening of diabetes and the installation of secondary diseases, directly and/or indirectly related to the evaluated tissues.
Tracking early child development at the population level: Validation of the Kidsights Measurement Tool for children birth to age five years
Authors: Waldman Marcus R. , Hepworth Katelyn , Johnson Jolene , Tourek Kelsey M. , Jones Kelly J. , Garcia Yaritza Estrada , Fritz Laura M. , Siebler Abbey , Raikes Abbie 
Published: July 2023

Abstract
Background
Group disparities in early child development arise due to inequities in early environments that are reflective of socio-economic status, geography, and other factors. To track and address these disparities, valid and reliable child development tools are needed that can be implemented at-scale and across populations. However, no population-based measures of child’s motor, cognitive, language, and social/emotional development appropriate for children from birth to age five years have been validated in the United States to date. In response, we have designed the Kidsights Measurement Tool (KMT).
Methods
We evaluate the validity and reliability evidence of the KMT with reference to the Standards for Educational and Psychological Testing (APA, AERA, & NCME, 2014) from a sample of N = 3,413 initial parent reports residing in Nebraska, USA, as well as from a 12–24-month direct observation follow-up subsample of N = 70 children. Evidence came from the test content, evidence based on other variables, and the precision of scores.
Results
We find strong evidence supporting the KTM’s validity and reliability (rXX' =.92) as a population-based tool. We find that scores from KMT’s initial administration strongly predict later scores from the Bayley Scales of Infant Development (r > .50) and the Woodcock Johnson’s overall development score (r = .70), both administered by trained professionals at least one year later. We also find that scores exhibit expected associations with known correlates of children’s development, including the parent’s educational attainment, enrollment into governmental subsidies and services, parent’s anxiety and depressive symptoms, and the child’s count of adverse childhood experiences.
The Effect of Halloysite Nanotubes and Mult Wall Carbon Nanotubes on the Mechanical Properties of Poly (Methyl Methacrylate) Denture Base Nanocomposites
Authors: Aldwimi ISSAM.M , Alhareb A. O. , Md. Hazizan. , Hamid Zuratul.Ain Abdul 
Published: July 2023

Abstract
Polymethyl methacrylate (PMMA) resin is a popular material for denture bases due to its aesthetic properties and ease of processing, but it does have limitations in terms of its mechanical properties. PMMA resin is a brittle material and has low impact strength and fatigue resistance, which means that it is prone to cracking, chipping, and other forms of damage over time, especially when subjected to repeated stress or impact. The process of fabricating denture base composites involves using PMMA powder, benzoyl peroxide as a polymerization initiator, and a mixture of nanotube-treated fillers (multi-walled carbon nanotubes and halloysite nanotubes) as the reinforcing fillers. The fabrication process involves mixing the PMMA powder and treated nanotube fillers together with a “liquid component that contains methyl methacrylate and ethylene glycol Di methacrylate. The addition of a mixture of MWCNTs and HNTs into the PMMA denture base composite significantly improved the mechanical properties of the base composite, such as the flexural strength of 109.1MPa, flexural modulus of 3.62GPa, and tensile strength of 64.4MPa when compared to a pure PMMA matrix (G1); the Vickers hardness improvement was only 18.93kg/mm2. Therefore, the introduction of HNTs/MWCNTs mixture into PMMA is a potential way of improving the mechanical properties of PMMA denture bases (P < 0.05), which can have positive implications for their durability, wear resistance, and overall performance.
Gaseous air pollutants and its association with stubble burning: an integrated approach using ground and satellite based datasets and concentration weighted trajectory (CWT) analysis
Authors: . Nirwan , Siddiqui Asfa , Shaeb Hareef Baba , Chauhan Prakash , Singh R. P. 
Published: July 2023

Abstract
The increase in intensity of anthropogenic activities in the world has induced increase in vulnerability to natural and man-made hazards, especially in densely populated metropolitan cities. Delhi faces severe health and infrastructure related issues due to the deteriorated air quality that worsens with variation in seasonal meteorological conditions. This study aims to identify the spatial sources of pollution contributing to Delhi and understand the role of anthropogenic activities and meteorological conditions in pollutant levels of the city in different years and seasons. This study assesses the variation in pollutant levels of CO, NO2 and SO2 in Delhi using ground and satellite observation data from 2018 to 2022. The pollutant levels are compared to the meteorological conditions to assess the role of environmental conditions in the change in pollutant levels along with its association to potentially contributing anthropogenic activities in and around Delhi region such as stubble burning in Punjab in 2019. The study further uses meteorological data and pollutant concentration data to develop back trajectories and carry out WCWT analysis that helps us identify the spatial hotspots contributing to the pollutant levels in Delhi on annual and seasonal basis. The exercise is carried out at winter, Pre-Monsoon, Monsoon, Post-Monsoon and Annual timespan for 2019 for 100m, 500m, 1000m and 1500m height above ground level composited to identify the spatially contributing hotspots. This study identifies the clear contributing hotspots in different seasons of 2019 and its overlap with observed active fire areas. This can help us segregate areas with similar fire intensity and varying contribution extent to pollutant levels of Delhi.
Evaluation of a patient-centered communication skills training for nurses (KOMPAT): study protocol of a randomized controlled trial
Authors: Lindig Anja , Mielke Kendra , Frerichs Wiebke , Cöllen Katja , Kriston Levente , Härter Martin , Scholl Isabelle 
Published: July 2023

Abstract
Background: To ensure high quality of nurses’ communication as part of patient-centered care, training of communication skills is essential. Previous studies indicate that communication skills trainings can improve communication skills of nurses and have a positive effect on emotional and psychological burden. However, most show methodological limitations, are not specifically developed for nurses or were developed for oncological setting only.
Methods: This study aims to evaluate the effectiveness of a needs-based communication skills training for nursing professionals and to derive indications for future implementation. A two-armed randomized controlled trial including components from both effectiveness and implementation research will be applied. Additionally, a comprehensive process evaluation will be carried out to derive indications for future implementation. Nurses (n=180) of a university medical center in Germany will be randomized to intervention or waitlist-control group. The intervention was developed based on the wishes and needs of nurses, previously assessed via interviews and focus groups. Outcomes to measure effectiveness were selected based on Kirkpatrick’s four levels of training evaluation and will be assessed at baseline, post-training and at 4-weeks follow-up. Primary outcome will be nurses’ self-reported self-efficacy regarding communication skills. Secondary outcomes include nurses’ communication skills assessed via standardized patient assessment, knowledge about patient-centered communication, mental and work-related burden, and participants’ satisfaction with training.
Discussion: To our knowledge, this is the first study systematically evaluating the effectiveness of a patient-centered communication skills training for nursing professionals in Germany. Results will yield insight whether a needs-based intervention can improve nurses’ self-efficacy regarding communication skills and other secondary outcomes.
Trial registration: Clinical trial registration number: NCT05700929, trial register: ClinicalTrials.gov (date of registration: 16 November 2022)
Past family selection in Populus nigra leads to an amplification of rust damages when neighbors are related
Authors: tiret mathieu , Lascoux Martin , Sanchez Leopoldo 
Published: July 2023

Abstract
Selfish individuals might prevail in the wild, but they often cause waste of nutritional resources and decrease the population yield in breeding schemes. Re-orienting past evolution towards less competitive paths (e.g., group selection) can limit negative interactions between elite material and leads to a more efficient transformation of resources into economically interesting traits. In particular, there are reasons to believe that, in the presence of kin, individuals either will cooperate (kin selection) or over-compete (niche partitioning). In either case, local relatedness might reveal interaction that can enhance the predictive abilities of genomic models when accounted for. However, recurrent family selection during domestication can have blurred the effect of relatedness on neighbors’ phenotypes. To overcome this difficulty, we analyzed data from the French breeding program of Populus nigra L., where 1,452 genotypes were replicated six to eight times, each time encountering a different neighborhood. We assessed local relatedness and investigated genomic estimated breeding values on tree height and rust vulnerability with a single-step GBLUP incorporating local relatedness as a covariate. We found that, when surrounded by related individuals, rust damage is significantly more important, whereas no interaction was visible on tree height.
Exposure to Violence, Stressful Life Events and Antenatal Depression Among Pregnant Adolescent Girls and Young Women in Accra Metropolitan Area, Ghana
Authors: Adzofu Harriet Yayra , Banougnin Boladé Hamed , Nyame Solomon , Ae-Ngibise Kenneth , Asante Kwaku Poku , Omigbodun Akinyinka 
Published: July 2023

Abstract
Background: Mental health conditions contribute to a significant proportion of global burden of disease during adolescence and are the leading causes of disability in young people. This study examines the association of antenatal depression with stressful life events and perceived social support among pregnant adolescent girls and young women (AGYW) in Accra Metropolitan area.
Methods: A facility-based cross-sectional study was conducted in 2017 among 336 pregnant AGYW (aged 15–24) in their third trimester. Participants were screened for antenatal depression using the patient health questionnaire depression module (PHQ-9). Bivariate chi-square analysis and covariates-adjusted logistic regression were used to determine associations.
Results: The mean age of study participants was 20.9 years. Prevalence of antenatal depression was 30.5% among pregnant AGYW. Participants had increased probabilities of reporting antenatal depression if they had ever experienced any type of intimate partner violence (IPV) (adjusted odds ratio [aOR] 2.59, 95% confidence interval [CI] 1.13–5.94, p=0.024), lost a parent, child or spouse (aOR 2.00, 95% CI 1.19–3.38, p=0.009), broke off a steady relationship (aOR 2.51, 95% CI 1.45–4.35, p=0.001), or lost a job (aOR 4.92, 95% CI 1.11–21.77, p=0.036). Social support from a significant other was associated with a decreased probability of antenatal depression (aOR 0.47, 95% CI 0.24–0.92, p=0.028).
Conclusion: Findings underscore a negative association between exposure to IPV, specific stressful life events, and antenatal depression. Clinical attention to pregnant AGYW exposed to violence and other stressful life events is recommended for early detection and treatment.