bluuebunny/crossref_metadata_2025_split huggingface dataset:
Profiles of psychological flexibility and influencing factors among operating room nurses: A latent profile analysis
Authors: Sun Xiangzhi , Miao Yanmei , Wang Jing , Li Run , Yang Lin , Hu Rong , Chen Guilan 
Published: May 2024

Abstract

Background
In the nursing workforce, operating room(OR) nurses are at high risk for psychological issues due to the unique challenges of their work environment. Psychological flexibility(PF), as a protective element of mental health, is important for promoting the acceptance and adjustment of nurses. This study used the latent profile analysis(LPA) to identify latent profiles of PF among OR nurses and further explored the associated influencing factors.
Methods
A cross-sectional study was conducted on 403 operating room nurses in Southwest China from November 2023 to April 2024 (effective rate of 91.18%). PF was measured by the Simplified Multidimensional Psychological Flexibility Inventory(MPFI-24), social support was measured by the Social Support Rating Scale(SSRS), and coping style was measured by the Trait Coping Style Questionnaire(TCSQ). We used LPA by Mplus.8.3 to identify latent profiles of PF. Multinomial logistic regression analysis was used to analyse the factors relevant to the different profiles.
Results
The PF of OR nurses can be identified into 4 groups: high PF group(14.1%), medium PF group-high engagement type(33.7%), lower-middle PF group(32.6%), low PF goup(19.6%). Gender, birthplace, whether you like the OR nursing, social support scores, and coping styles scores can be the predictors of PF among different profiles.
Conclusions
Our findings identified 4 latent profiles of PF among OR nurses, showing the heterogeneity of PF among nurses in the OR. Gender, birthplace, whether you like the operating room nursing, social support scores and coping styles scores can predict the latent profile of OR nurses. Our findings may can provide reference for the development of targeted interventional strategies to improve PF of OR nurses.
Trajectory Optimization for AoI-Minimized Data Collection in Multi-UAV-Aided Wireless Sensor Networks
Authors: An Ning , Hong Yi , Luo Chuanwen , Li Deying , Fan Xin , Chen Zhibo 
Published: May 2024

Abstract

Unmanned Aerial Vehicles (UAVs) have been extensively utilized in numerous scenarios where freshness of information is paramount. Due to the limited endurance of a single UAV, multiple UAVs can ensure the freshness of sensor node information while completing data collection tasks. Therefore this paper focuses on the multi-UAV-aided collaborative data collection problem, aiming to enhance the freshness of information. We use Age of Information (AoI) to measure information freshness, primarily including the sensors’ data aggregation time within clusters, the UAVs’ data collection time and flight time. Firstly, we employ a simulated annealing-based algorithm to construct data aggregation trees within clusters, determining the scheduling order of sensor nodes. Secondly, we assign tasks to the UAVs and establish the association between clusters and UAVs. Finally, based on the results of the previous two steps, we optimize the flight 1 trajectory of UAVs using two schemes, 2-opt Heuristics via Deep Reinforcement Learning and greedy-based multi-trajectory planning. Simulation results demonstrate that this strategy can optimize the average AoI of sensor networks and improve the information freshness.
Cesarean sections in Suriname using Robson classification: a two-year nationwide cross-sectional study
Authors: Prüst Zita D. , Dupont Josephine A.I. , Liesdek Safir , Bloemenkamp Kitty W.M. , Akker Thomas van den , Verschueren Kim J.C. , Kodan Lachmi R 
Published: May 2024

Abstract

Background – Cesarean Section (CS) rates are increasing concerningly. Optimizing CS performance is a global health priority, given the maternal and perinatal morbidity and mortality associated with both underuse and overuse. This nationwide study in Suriname aims to (1) determine the national, facility-based CS rate and explore which women are at highest risk and (2) use the WHO Robson classification to enhance understanding drivers and outcomes of CS to develop tailored interventions.
Methods – An observational, cross-sectional study in Suriname, using nationwide birth registry data that included all hospital births in 2020 and 2021. We used multivariate logistic regression analysis to assess maternal and perinatal characteristics associated with CS. We described caesarean births according to the Robson-10 classification and used descriptive statistics to analyze CS frequencies and neonatal outcomes.
Results – We analyzed the 18,917 women who gave birth in Surinamese hospitals, with an overall 23.9% CS rate (n=4522). The highest CS rates were seen among women with a previous CS(69.3%, aOR 16.2, 95% CI 14.4 – 18.2), BMI > 40 (47.0%, aOR 5.1, 95% CI 4.0 – 6.5), newborn with a birth weight above 4000 grams (37.3%, 2.2, 95% CI 1.6 – 3.0) and women giving birth at hospital IV (38.5%, aOR 1.8, 95% CI 1.6 – 2.0). Hindustani women were more likely to give birth by CS compared to maroon women (aOR 1.6, 95% CI 1.4 – 2.0). Robson group 5 (i.e. multiparous, term women with a previous CS and cephalic presentation), contributed to 30.5% of the CS cases (n=1378). Robson group 2 and 4 (i.e. pre-labor CS, or CS after induction, among term women without previous CS and cephalic presentation) contributed to 21.8% (n=985) of all CS performed. Robson group 1 and 3 (i.e. during spontaneous labor CS among term women without previous CS and cephalic presentation) accounted for 23.3% (n=1052) of the CS cases.
Conclusion – The CS rate in Suriname is 24%, with substantial intra-country and inter-hospital variations. These disparities underscore the need for targeted interventions addressing both overuse and underuse of CS. Preventative measures should prioritize promoting safe VBAC, preventing first-time CS and ongoing monitoring of trends and regular case audits.
Socioeconomic Disparities in Multimorbidity of Non-Communicable Diseases: findings from the RaNCD cohort study
Authors: Faramani Roya Safari , Samian Keyvan , Najafi Farid , Salimi Yahya , Darbandi Mitra 
Published: May 2024

Abstract

Background
There is limited understanding of socioeconomic inequality in multimorbidity in Iran. This study aims to investigate socioeconomic inequality in multimorbidity among adults in western Iran.
Methods
Data from the Ravansar Non-Communicable Disease (RaNCD) cohort study were used in this cross-sectional study. A sample of 10,047 adults aged 35–65 years was analyzed. Principal component analysis was utilized to determine socioeconomic status (SES). The normalized concentration index (CIn) was used to assess the extent of socioeconomic disparities in multimorbidity. Decomposition analysis was conducted to identify and calculate the factors contributing to multimorbidity inequality.
Results
In this study, the prevalence of having at least two NCDs was 9.07%, while the prevalence of having at least three NCDs was 2.87%, and four or more NCDs was 1.25%. The CIn for multimorbidity was − 0.061 (P < 0.001), indicating a higher concentration of multimorbidity among individuals with low SES. Age (52.5%), body mass index (BMI) (29.4%), gender (27.5%), physical activity (25.1%), and SES (15%) were identified as significant factors contributing to the increased inequality in multimorbidity.
Conclusion
The study findings demonstrate a pro-poor disparity in multimorbidity. Age, BMI, gender, physical activity, and SES were highlighted as key factors driving the heightened inequality in multimorbidity. Policy interventions targeting the reduction of socioeconomic disparities in multimorbidity should prioritize low-SES groups, particularly women, obese individuals, and older subjects.
Effect of salt substitute and medication use among high cardiovascular risk patients
Authors: Qi Zijing , Tang shuai , Hao Yubing , Li Yanxing , Hao Tianyou , Yang Hongmei , Shen Yijing , Huang Liping , Tian Maoyi , Feng Xiangxian , Li Zhifang 
Published: May 2024

Abstract

Introduction: Previous studies have shown that the protective effect of salt substitute varied between the hypertensive population and the normotensive population, but it was not clear whether it was related to cardiovascular drugs. The purpose of this study is to explore the effect of salt substitutes and anti-hypertensive drugs on blood pressure and adverse cardiovascular events.
Methods: 4211 people with a history of stroke or hypertension from 120 villages in Shanxi Province who participated in an open-label cluster randomized controlled trial (SSaSS) were included in this study. Generalized linear mixed models and linear mixed models were used to explore the effect of salt substitute on blood pressure and adverse cardiovascular events in different group of population respectively, adjusting for the stratification variables at randomization (village) as well as potential confounding variables.
Results: Salt substitute reduced the risk of adverse cardiovascular events in participants who took anti-hypertensive drugs(28.63 events vs. 35.96 events per 1000 person-years; rate ratio, 0.75, 95% CI, 0.59 to 0.95; P=0.016) while no significant effect among the participants who did not take any anti-hypertensive drugs. Salt substitute reduced the blood pressure in participants who took anti-hypertensive drugs with a mean SBP difference of -4.38mmHg (95% CI: -6.08 to -2.67, P<0.001) and a mean DBP difference of -1.31mmHg (95% CI: -2.42 to -0.21, P=0.020), while no significant blood pressure difference among the participants who did not take any anti-hypertensive drugs.
Conclusions: Combining salt substitute with anti-hypertensive drugs could reduce blood pressure and the risk of cardiovascular events.
Effect of deflector and crest geometry on submerged flow in a shaft spillway
Authors: Esmaeili Soroush , Lashkar-Ara Babak 
Published: May 2024

Abstract

In this study, the impacts of a deflector located in the throat and inlet geometry of the crest on improving the hydraulic performance of a shaft spillway were investigated, and the hazards induced by the lack of timely drainage of floods in dam reservoirs were decreased to some extent. To investigate the deflection effect, three constriction specimens in the shaft throat with constriction area-to-shaft area ratios (Ad/Ai) of 0.75, 0.5 and 0.25 were considered as scenarios. In each scenario, the flow conditions through 12 different spillway specimens with crown wheel inlets were tested, and the results were compared with the flow conditions in crown wheel spillways without a deflector (reference model). The results showed that the use of a deflector has an important role in reducing vortex flows, stabilizing changes in the water level of the reservoir and increasing the discharge coefficient of the flow. Studies on reference models have also shown that crown wheel inlets (C.W.) improve shaft spillway performance, with C.W. spillways having an average discharge coefficient 32% greater than that of shaft spillways. Finally, considering the optimal deflector factors and C.W. geometry, an optimal model was proposed for flood reservoir conditions.
A modified multiple-criteria decision-making approach based on a protein-protein interaction network to diagnose latent tuberculosis
Authors: Ayalvari Somayeh , Kaedi Marjan , Sehhati Mohammadreza 
Published: May 2024

Abstract

Background
DNA microarrays provide informative data for transcriptional profiling and identifying gene expression signatures to help prevent progression from latent tuberculosis infection (LTBI) to active disease. However, constructing a prognostic model for distinguishing LTBI from active tuberculosis is very challenging due to the noisy nature of data and lack of a generally stable analysis approach.
Methods
In the present study, we proposed an accurate predictive model with the help of data fusion at the decision level. In this regard, results of filter feature selection and wrapping feature selection techniques were combined with multiple-criteria decision-making (MCDM) methods to select 26 genes from six microarray datasets that can be the most distinctive genes for diagnosing tuberculosis cases. As the main contribution of this study, the final ranking function was constructed by combining protein-protein interaction (PPI) network with an MCDM method (DEMATEL) to improve our feature ranking approach pointedly.
Results
The best fusion of classifiers is determined to detect different types of tuberculosis with a sensitivity of 0.949514, specificity of 0.885872 and accuracy of 0.922368. By applying data fusion at the decision level on the 26 introduced genes in terms of fusion of classifiers of random forests (RF) and k-nearest neighbors (KNN) regarding Yager's theory, the proposed algorithm reached an accuracy of 0.922368. Finally, with the help of cumulative clustering, the pairs of genes involved in the diagnosis of latent and activated tuberculosis have been introduced.
Conclusions
So far, a combination of MCDM methods and PPI networks have not been used to diagnose different states of tuberculosis.
A Study on Role and Status of Hajong Healers of Assam
Authors: Kousik Suman 
Published: May 2024

Abstract

Since time immemorial field of indigenous knowledge has provided devised ways to treat an ill health conditions. The term ‘healer’ describes a person who uses their extensive indigenous knowledge to treat the community. The present chapter comprises the administration of local knowledge by the healers of the Hajong community. Being geographically and culturally rich, the people of Barabhuyan village of Dhemaji district exhibit a tremendous array of traditional knowledge. Every society has a long history of the disease, whether it be a contagious or natural version, and as a result, different ethnic communities around the world frequently apply various forms of indigenous knowledge. The tribal societies of India, particularly the rural areas of North-east India, provide an intriguing scenario with the use of indigenous healthcare systems, and some of them living in adjacent urban areas have formed contacts with the allopathic systems of medicine that are encroaching on them.This is borne out through the present research work that the healer treated their patients whenever they are in need. They rendered their service in different parts of Assam and Meghalaya. They treat all kinds of diseases like the natural, supernatural as well reproductive problems of the society .The healers category found to be in both male and female category. The Hajong has a strong belief in traditional healers, which is reflected in the highest use of folk medicine in rural areas. People can access therapy in simple ways, and traditional healing systems are also less expensive. However, among the Hajong community healthcare providers are known as a healer (dao/kabiraj) who treats medicinal flora and faunal resources, shaman (ojha), who perform the healing practice associated with spiritual healing, and priests (adhikari) who perform the religious activities and provide a minimal amount of medical treatment. In addition, among the Hajong, traditional birth attendants (dhaimao) also provide some medical care.
Modeling and optimizing plant growth regulators for in vitro culture and antioxidant activity of Thymus daenensis
Authors: samadi saba 
Published: May 2024

Abstract

Denaian thyme, also known as Thymus daenensis (Lamiaceae), is an endangered and endemic medicinal plant in Iran. It is commonly utilized in traditional remedy for its antioxidant, immunomodulatory, and insecticidal effects. The aerial parts of this plant include a variety of bioactive compounds. for instance, flavonoid, phenolic acids, and high levels of terpenoids. until now, wild plants are the primary source of these compounds. However, if harvesting methods are not altered soon, they may become endangered. Alternative production methods for medicinal plants using tissue culture are gaining more interest. no protocol for in vitro culture of T. daenensis has been reported so far. To address this, we carried out a study to investigate the impact of various auxins and cytokinins, both in isolation and in combination, on cell growth, development, and secondary metabolite accumulation. The objective was to assess how certain factors affect the accumulation of phenolic compounds and biomass growth in T. daenensis tissue culture. The response surface methodology modeling outcomes have shown that the use of plant growth regulators (PGRs) and their combinations significantly impacts the in vitro culture of T. daenensis. g plots summarized results showing that the best accumulation of biomass and secondary metabolites can be achieved by using 1-Naphthaleneacetic acid (NAA) followed by 2,4-Dichlorophenoxyacetic acid (2-4-D). Optimizing the induction of secondary metabolites and large-scale biomass production could greatly benefit this species.
UBMR:A low-power and low-area multicastrouter with unified buffers forNetwork-on-Chips
Authors: Ouyang Yiming , wang jiaxin , Xu Dongyu , Huang Zhengfeng 
Published: May 2024

Abstract

Network-on-Chip(NoC) has become a promising communicationparadigm for Multi-Processors System-on-Chip (MPSoC) due to its highcommunication efficiency, good scalability, and high reliability. In prac-tice, in addition to one-to-one unicast traffic in NoC, there is also a largeamount of one-to-many multicast traffic. The traditional unicast-basedmechanism for handling multicast traffic leads to a large number of repet-itive and redundant packets in the network, which rapidly consumes thenetwork bandwidth and dramatically reduces the performance of the net-work. Meanwhile, with the continuous scaling of the chip fabrication pro-cess, the power consumption increases dramatically, which also makes theNoC design face great challenges. To mitigate these problem, we proposea tree-based multicast routing algorithm to ensure that multicast pack-ets and their copies reach the destination router all through the shortestpath. For better compatibility with our proposed routing algorithm, wealso propose a unified buffer multicast router architecture, which not onlysimplifies the multicast routing algorithm, but also reduces the powerconsumption and the area overhead of the router. Detailed simulationresults show that the number of packets transmitted in the networkis reduced by 28%, and the area and power consumption are reducedby 40.6% and 38.6%, respectively, compared to conventional routers.
Mechanism of critical current density in water electrolysis utilizing analogous relation with critical heat flux at boiling system
Authors: Park Haekyun 
Published: May 2024

Abstract

The boiling and hydrogen evolving systems both exhibit an N-shaped curve, which includes the peak point representing the critical heat flux (CHF) in boiling system and the critical current density (CCD) in hydrogen evolving system. Since the CCD can be regarded as a maximum manageable current density, it would be an obstacle limiting the hydrogen generation rate in a water electrolysis. However, none of previous work proposed a mechanism leading to the CCD and tried to establish a correlation so far. In the nuclear industry, tremendous efforts have been invested to develop the CHF model so that the correlations were developed, which predict the CHF well. Based on the analogous relation between the two systems, the present study explores compatibility of the CHF correlation to the CCD phenomenon. The critical superficial velocity converted from the CHF correlation was compared with that from the measured CCD. The result shows that the critical superficial velocity from the experiment was about 100 times smaller than that from the CHF correlation due to the remarkably higher active nucleation site density of the hydrogen evolving system. In a phenomenological perspective, the critical number of bubbles, which hinders the heat or mass transfer was estimated within similar value between the two systems. It is concluded that the CCD phenomenon is governed by the hydrodynamic behavior of the bubbles adjacent to the cathode surface, which depends strongly on the active nucleation site density, while the CHF can be predicted only by the physical properties of the fluid.
Effect of Capsular Tension Ring Implantation on Intraocular Lens Calculation Formula Selection for Long Axial Myopia
Authors: Liang Jiaojiao , Yan Hong , Xie Xue , Zhang Jian , Zhang Yaping , Qu Laiqiang 
Published: May 2024

Abstract

Purpose
The study investigated the effect of capsular tension ring (CTR) implantation on postoperative refractive stability and accuracy of intraocular lens (IOL) formulas for axial length (AL) ≥ 27.0 mm patients.
Methods
Prospective case series. The eyes of patients underwent phacoemulsification extraction combined with IOL implantation were classified as CTR implantation (A-CTR) and without CTR implantation (B-CON) groups. Refractive outcome and anterior chamber depth (ACD) were recorded at 1 week, 1 month, and 3 months post-operation. Prediction refractive error (PE) and absolute refractive error (AE) of each formula were calculated.
Results
Comparison of refraction at different postoperative times of the CTR group showed no statistical difference (all P > .05). The ACD in the A-CTR group gradually deepened, and that in the B-CON group gradually shallowed (all P > .05). The formulas’ AE showed statistically significant differences in CTR and CON groups (P < .001). The PE of Hill-RBF 2.0 and EVO formulas in the A-CTR group were more hyperopic than that in the B-CON group (all P > .05), the other five formulas were more myopic in A-CTR group than that in the B-CON group (all P > .05).
Conclusion
Patients with CTR implantation tended to have stable refraction at 1 week post-surgery and 1 month for those without it. CTR had no effect on the selection of formulas. Additionally, it is found that Kane and EVO formulas were more accurate for patients with AL ≥ 27.0 mm.
Climate change concern and discourse among nature lovers
Authors: Seiler Lisa 
Published: May 2024

Abstract

One barrier to action on climate change is not talking about it. The majority of Americans and Canadians are concerned about climate change1,2 but are reluctant to discuss it with family and friends1,3,4,5. Finding comfortable opportunities to promote conversation about climate change would help increase the acceptability of climate actions6. In this study, 32 semi-structured interviews were held with representatives of nature-related organizations in Ontario, Canada, including hiking groups, naturalists, preservation and conservation groups, cross-country skiers, and hunters and anglers, to ascertain how they perceive and talk about climate change and whether those organizations would constitute welcoming spaces. This article adds to the literature on laypeople’s understanding of climate change7,8. Most interviewees noticed local effects of climate change and were either Alarmed or Concerned about climate change, referencing Global Warming’s Six Americas3. Some were quite concerned about the effects on their chosen activity. Others were worried for their offspring. This suggests that these groups might be safe spaces for talking about climate change. More generally, it suggests that nature lovers across North America who distance themselves from the environmental movement9 might be amenable to discussing climate change as the issue becomes more salient.