bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding the Ecosystem of Stakeholder Networks Addressing Loneliness in Six Cities Worldwide
Authors: Varda| Danielle , Bachinski Kaley , Bartov Alzbeta , Beacom Amanda , Bekessy Sarah , Blancafort-Alias Sergi , Kögel Cristina Casajuana , CATTANEO Lucie , Coll-Planas Laura , Cucchiaro Alice , Daguzan Alexandre , Vélez Gabriela García , Hidalgo Laura , Hill Nicholas , Holmerova Iva , Jansson Anu , Johnson Katherine , Opacin Nerkez , Pitkälä Kaisu , Rautiainen Laura , Sachs Ashby , Siebert Uwe , Litt Jill 
Published: December 2023

Abstract

Background: Loneliness is increasingly reported as a growing problem throughout society and is insufficiently addressed through traditional health care systems. Current evidence highlights the physical, emotional, and mental health implications of loneliness. Further, the impact of loneliness as a global public health issue is evidenced by connections to increased obesity, depression, weakened immune systems, and high blood pressure. Interventions aimed at addressing reducing loneliness are being developed and despite their promises, limited evidence of their efficacy exists. In this paper, we look at the cross-sector networks being developed across six cities as a way to develop and implement a specific intervention (Nature Based Social Prescribing) to address social isolation and loneliness.
Methods: A network analysis of participating countries was launched with the goal of knowing more about potential networks in partner cities that the RECETAS consortium could draw on when designing and implementing NBSP interventions. We were able to visualize and measure the existing networks and create a place-based understanding of how NBSP can be promoted and sustained locally.
Results: The social network analysis reveals similarities and differences across six international cities, and their experiences of establishing networks and collaborating between organizations and their perceptions of and responses to nature-based prescribing and outcomes. These maps are indicative of the number and scope of relational networks that exist in each study site. Our analysis shows that the number of members varies greatly by country, but that quite a few have a large number of relationships and activities. All cities reported an active network in these areas. The membership of these networks was expected, although there are members from unusual sectors that are encouraged to participate in order to diversify the networks.
Conclusions: The RECETAS project will use these network data and results to understand how stakeholders across the six cities are working to address mental health, well-being, and loneliness through social prescribing and nature-based activities with the ultimate goal to systematically improve mental health and well-being, reduce loneliness, promote vibrant socially-connected communities, contribute to the sustainability of cities, and reduce health inequities by connecting diverse populations to nature in meaningful ways.
The comparision among euploidy of preimplantation blastocysts in different controlled ovary stimulation(COH) protocols
Authors: Wang Yu , Xu Junting , Yin Xiangjie , Fang Yuan , Li Kunming 
Published: December 2023

Abstract

Purpose
To compare differences in euploidy rates for blastocysts in preimplantation genetic testing for aneuploidy (PGT-A) cycles after gonadotropin-releasing hormone agonist (GnRH-a) long and short protocols, GnRH-antagonist (GnRH-ant) protocol, progestin-primed ovarian stimulation and mild stimulation protocols, and other ovary stimulation protocols.
Methods
This was a retrospective cohort study from the Assisted Reproductive Medicine Department of Shanghai First Maternity and Infant Hospital. A total of 1657 PGT-A cycles with intracytoplasmic sperm injection after different controlled ovary hyperstimulation protocols were analyzed, and a total of 3154 embryos were biopsied. Differences in euploidy rate per embryo biopsied, embryo euploidy rate per oocyte retrieved and cycle cancellation rate were compared.
Results
For the PGT-A cycles, the euploidy rate per embryo biopsied was lower in the GnRH-ant protocol than in the GnRH-a long protocol (53.26% vs. 58.68%, respectively). Multiple linear regression showed that the GnRH-ant protocol was associated with a lower euploidy rate per embryo biopsied (β = −0.079, P = 0.011). The euploidy rate per embryo biopsied was not affected by total gonadotropin dosage, duration of stimulation and number of oocytes retrieved. The embryo euploidy rate per oocyte retrieved was similar in all protocols, and was negatively correlated with the total number of oocytes retrieved (β = −0.003, P = 0.003).
Conclusion
Compared with the GnRH-a long protocol, the GnRH-ant protocol was associated with a lower euploidy rate per embryo biopsied. The total gonadotropin dosage, duration of stimulation and number of oocytes retrieved did not appear to significantly influence euploidy rates.
The orthogonal analysis of selected influence factors for bioaerosol samplers in an aerosol generating chamber
Authors: Ma Xuezheng , Si Nianpeng , Tian Feng , Yang Pengfei , Zheng Fei , Niu Yu , Li Huipeng , Hu Kongxin 
Published: December 2023

Abstract
A high-efficiency bioaerosol sampler is a necessary tool to capture airborne pathogenic microbes, and can effectively ensure the concentration and biological viability of the microbes for further biological and medical analysis.
Methods: The Andersen sampler and Fuji cyclone were applied in the bacteria and virus under a bioaerosol emission chamber. The four factors selected for this study were temperature, microbial culture concentration, aerosol emission time, and the placing position of biosamplers, and each influencing factor with its varying levels were optimized by orthogonal analysis to evaluate the sampling efficiency of alternative biosamplers under both bacterial and viral environment in a bioaerosol generating chamber.
Results:The Andersen impactor had a better collecting effect than Fuji cyclone under four influence factors in bacterial aerosol environment. In the viral aerosol collection, a high air flow rate Fuji cyclone has a better performance for collecting viral aerosol without considering the viability. The two best factors from both Andersen and Fuji were the emission concentration and the angle of 45° sampler placing position under bacteria environment. The two best factors from both Andersen and Fuji were the temperature and the emission time under the virus environment.
The “Rejuvenating Factor” - Platelet Factor 4 in Platelet Transfusion - Myth or Reality?
Authors: Cognasse Fabrice , Duchez Anne-claire , Heestermans Marco , Hamzeh-Cognasse Hind , Arthaud Charles-Antoine , Eyraud Marie-Ange , Portier Mailys , Prier Amélie 
Published: December 2023

Abstract
Population in the world, is ageing. World Health Organization estimated an increase of 60years and more human, to 30% of the population, with a growing frequency of cognitive and cardiovascular disease. Recently, platelet Factor 4 (PF4) was presented as a pro-cognitive factor when administered to mice. This molecule is released by platelet in circulation and could be present in blood product destined to transfusion. We wondered if PF4 levels could be correlated to blood donor age or to the process of platelet concentrate (PC) preparation intended for transfusion? We observed higher levels of PF4 in elderly compared to younger donor PCs, while PC processing & storage did not alter PF4 expression.
Phantom-Powered Nested Sampling
Authors: Albert Joshua G. 
Published: December 2023

Abstract
We introduce a novel technique within the Nested Sampling framework to enhance efficiency of the computation of Bayesian evidence, a critical component in scientific data analysis. In higher dimensions, Nested Sampling relies on Markov Chain-based likelihood-constrained prior samplers, which generate numerous 'phantom points' during parameter space exploration. These points are too auto-correlated to be used in the standard Nested Sampling scheme and so are conventionally discarded, leading to waste. Our approach discovers a way to integrate these phantom points into the evidence calculation, thereby improving the efficiency of Nested Sampling without sacrificing accuracy. This is achieved by ensuring the points within the live set remain asymptotically i.i.d. uniformly distributed, allowing these points to contribute meaningfully to the final evidence estimation. We apply our method on several models, demonstrating substantial enhancements in sampling efficiency, that scales well in high-dimension. Our findings suggest that this approach can reduce the number of required likelihood evaluations by at least a factor of 5. This advancement holds considerable promise for improving the robustness and speed of statistical analyses over a wide range of fields, from astrophysics and cosmology to climate modelling.
Influence of Dufour/Soret and Space-Dependent Internal Heat Source on Combined Convection of non-Newtonian Fluids Flow past a Vertical Full Cone in Porous Media: the VHF/VMF Case
Authors: Yih Kuo-Ann , Hsu Heng-Pin 
Published: December 2023

Abstract
This paper numerically analyzes the influence of Dufour/Soret and space-dependent internal heat source (exponential decaying form) on combined convection (entire regime) of non-Newtonian fluids (power-law model of Ostwald-de-Waele) flow past a vertical full cone in porous media with the boundary conditions of VHF/VMF case. The transformed governing equations (non-similar equations) are solved by Keller box method (KBM). Comparison with previously published work is very good. Numerical data for the dimensionless temperature profile, the dimensionless concentration profile, the local Nusselt number and the local Sherwood number are graphically and tabularly presented for the nine parameters: the buoyancy ratio N, the Lewis number Le, the Dufour parameter Df, the Soret parameter Sr, the cone angle parameter m, the mixed convection parameter ξ, the VHF/VMF exponent λ, the non-Newtonian fluid power-law index n, the space-dependent internal heat source coefficient * A . The physical aspects of the problem are discussed in details.
Interplay of Serum Apoptotic Proteins and Oxidative Stress Markers in Prostate Cancer and Benign Prostate Hyperplasia.
Authors: Popoola Olayiwola , Samuel Titilola Aderonke , Habeeb Muhammad , Tijani kehinde Habeb , Magbagbeola Olubunmi , Akinloye Oluyemi 
Published: December 2023

Abstract
Background
Apoptotic evasion is one of the genuine hallmarks of cancer and appears to be a critical component of most therapeutic options in prostate cancer treatment. Reactive oxygen and nitrogen species play a critical role in the execution of apoptosis. Redox and antioxidant changes are involved in malignant transformation and are associated with therapeutic intervention in prostate cancer.
Method
The study population were prostate cancer, benign prostatic hyperplasia subjects and age-matched controls (45–85 years). Oxidative stress (OS) markers; Hydrogen peroxide (H2O2), malondialdehyde (MDA) and nitric oxide (NO), antioxidant enzymes; Superoxide dismutase (SOD), Catalase (CAT), Glutathione peroxidase (GPx) and total antioxidant status (TAS) were determined by spectrophotometric methods while apoptotic proteins were determined by ELISA methods.
Findings
: Higher plasma concentration of MDA and H2O2 were found in prostate cancer and benign prostatic hyperplasia than in controls (p < 0.05), Plasma concentration of nitric oxide was significantly lower in prostate cancer than in controls (P < 0.05). We found a significantly increase activity of catalase in prostate cancer (11.9 ± 2.28) and BPH (12.89 ± 3.22) than controls (8.95 ± 2.25). SOD and GPx were significantly lower in the prostate cancer group (p < 0.05), an increased activity of GPx was observed in the BPH group versus PCa and controls. We found an increased concentration of p53 protein and a reduced concentration of cytochrome C (CYTc) and TNF-α in the prostate cancer group compared to the control group. Similarly, we observed reduced activity of CASP3 in the PCa group. A negative correlation was observed between CAT and CYTc (p = 0.003), while a negative correlation was found between CAT Vs P53 (p = 0.001) in the BPH group. In the control group, a positive correlation exists between GPx and TNFα (p = 0.04).
Conclusion
The interplay between oxidative stress and the antioxidant molecule is associated with prostate cancer. The presence of antioxidant species may significantly modify the apoptotic process by reducing the level of redox molecules thereby preventing the activation of apoptotic mechanism. Low levels of Nitric oxide stand out in our prostate cancer cohort, and this could be explored to redirect pro-apoptotic mechanisms in prostate cancer.
A Comprehensive Approach to Total Organic Carbon Prediction: Dual-Output Neural Networks and Ensemble Learning
Authors: Rui Jianwen , Zhang Hongbing , Zhang Jun , Zhu Xinyi 
Published: December 2023

Abstract
This paper explores a neural network-based approach for constructing prediction intervals (PIs) of total organic carbon (TOC) content. In contrast to conventional methods that focus solely on minimizing prediction error, the proposed method utilizes a dual-output neural network optimized by a novel loss function called \({\mathcal{L}}_{QCE}\) that emphasizes overall PI quality through a balanced consideration of coverage probability, interval width, and cumulative deviation. Consequently, this approach facilitates the generation of higher-quality PIs under specified significance levels. Case studies illustrate that, in comparison to prevailing techniques such as Pearce's method and Gaussian process regression, our proposed approach achieves a notable over 40% reduction in invalid intervals, accompanied by an approximate 50% improvement in interval quality. Additionally, we introduce ensemble learning to assess inherent model uncertainties, further augmenting the precision of PIs. In summary, the presented methodology offers a competitive solution for uncertainty quantification and well log data mining, providing an innovative and effective approach to enhance the quality of PIs for TOC content.
Exploring the Feasibility of Data-Driven Models for Short-Term Hydrological Forecasting in South Tyrol: Challenges and Prospects
Authors: Torre Daniele Dalla , Lombardi Andrea , Menapace Andrea , Zanfei Ariele , Righetti Maurizio 
Published: December 2023

Abstract
Short-term hydrological forecasting is crucial for suitable multipurpose water resource management involving water uses, hydrological security, and renewable production. In the Alpine Regions such as South Tyrol, characterized by several small watersheds, quick information is essential to feed the decision processes in critical cases such as flood events. Predicting water availability ahead is equally crucial for optimizing resource utilization, such as irrigation or snow-making. The increasing data availability and computational power led to data-driven models becoming a serious alternative to physically based hydrological models, especially in complex conditions such as the Alpine Region and for short predictive horizons. This paper proposes a data-driven pipeline to use the local ground station data to infer information in a Support Vector Regression model, which can forecast streamflow in the main closure points of the area at hourly resolution with 48 hours of lead time. The main steps of the pipeline are analysed and discussed, with promising results that depend on available information, watershed complexity, and human interactions in the catchment. The presented pipeline, as it stands, offers an accessible tool for integrating these models into decision-making processes to guarantee real-time streamflow information at several points of the hydrological network. Discussion enhances the potentialities, open challenges, and prospects of short-term streamflow forecasting to accommodate broader studies.
Wastewater based genomic surveillance reveals circulating pathogenic bacteria and associated resistome in Nairobi-Kenya sewerage system
Authors: Oyola Samuel , Mware Bernard , Kibet Gilbert , Mwangi Kennedy , Lugano Doreen , Osiany Shebbar , Kiritu Edward , Dobi Paul , Muli Collins , Juma John , Njeru Regina , Machuka Eunice , Bett Bernard , Ouma Ahmed Ogwell , Okoth Edward , de Oliveira Tulio , Tessema Sofonias 
Published: December 2023

Abstract
Wastewater-based surveillance (WBS) has become a useful public health tool as an early warning system revealing emergence/re-emergence of pathogenic diseases and spread of antimicrobial resistance (AMR). WBS is crucial in development of rapid response and increasing public health awareness to curb dangers associated with disease emergence and antibiotic resistance. In this study, we characterized bacterial pathogens detected in wastewater, their composition, relative abundance and associated antibiotic resistant genes (ARGs) from different sewerage sites covering distinct epidemiological (socio-economic) population zones within Nairobi – the busiest East African city of Kenya representing a low- and middle-income country (LMIC). We show detection, abundance, spatio-temporal surveillance profiles of pathogens of interest and demonstrate WBS’s utility as an early warning system to inform public health response.
Arcobacter disease-causing bacteria associated with gastroenteritis (stomach flu) and persistent diarrhoea was the most abundant pathogen detected, depicting its significance in public health challenges in the city of Nairobi. The ESKAPE (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa and Enterobacter spp) group of pathogenic bacteria associated with multidrug resistance and linked to several clinical infections were detected across all the sampled time points and sites. This study also investigated the presence/abundance of ARGs and detected several (n>600) antibiotic resistance gene (ARGs) sequences linked to many pathogenic bacteria capable of rendering more than thirty classes of antibiotics ineffective.
Detection of pathogenic bacteria, and associated ARGs they harbour in wastewater samples from the Nairobi City population contributes to the global surveillance efforts needed for prediction, monitoring and reporting of harmful microorganisms in the context of One Health. The current effort demonstrates the utility of wastewater surveillance as an early warning system to inform public health response and mitigate potential outbreaks through timely interventions.
Effect of intravenous anesthetic drugs on fertilization rate in oocyte retrieval
Authors: Liu Yanfang , Gao Yongtao , Lu Cuie , Chen Junjie , Huang Saisai 
Published: December 2023

Abstract

Background: The purpose of this study was to investigate the effects of intravenous anesthetic drugs on fertilization rate in subjects receiving oocyte retrieval by assisted reproduction technology (ART).
Methods: Aretrospective cohort study was designed. The clinical information of subjects who received oocyte retrieval procedure was collected. The subjects were divided into two groups based on the type of anesthesia used: the no-anesthesia group and the intravenous anesthesia group. Propensity score matching (PSM) was performed and multiple linear regression analyses were conducted. Fertilization rate was compared between the two groups before and after PSM.
Results: A total of 765 subjects were divided into two groups: the no-anesthesia group (n=482) and the intravenous anesthesia group (n=283). According to propensity scores, 258 pairs of subjects were well matched, and the baseline data between the two groups were not significantly different (P>0.05). Fertilization rate was 77% in the intravenous anesthesia group, and 76% in the no-anesthesia group, without significant between-group difference (P=0.685). Before matching, Poisson regression analysis showed no effect of intravenous anesthetic drugs on fertilization rate (RR=0.859, 95%CI: 0.59 to 1.25, P＞0.05). After matching, no difference was found either (RR=0.935, 95%CI: 0.67 to 1.29, P＞0.05).
Conclusion: Intravenous anesthetic drugs may exert no effects on fertilization rate in subjects receiving ART.
A distinct look at a transcendental phenomenon: The grounded theory model of leader humor
Authors: Gholami Mohammad , Rahimnia Fariborz , Malekzadeh Gholamreza , Khorakian Alireza 
Published: December 2023

Abstract
Humor is an important quality and a key factor in communication. This qualitative study aims to design a sense of humor model for university leaders by adopting grounded theory and an interpretive paradigm. The study population was 24 Iranian university professors who were selected via targeted sampling until theoretical saturation was reached. The data were collected using semi-structured interviews. The axial category was named “leader humorous behavior” and the main attributes of humor were “benign violation” and “moderation.” This study is the first to highlight the importance of moderation in humorous behavior (frequency and repetition) as an important attribute of leader humor rather than benign violation, which can have negative and unwanted outcomes for both leader and followers despite positive and constructive content. The final model identifies sense of humor as the cause of leader humorous behavior, organizational factors as the correlated cause, and the mediators, moderators, context, and consequences of the leader humorous behavior. The results show that sense of humor is the most important factor in followers’ perception and interpretation of leader humorous behavior. Moreover, the positive outcomes of leader humorous behavior increase humor expression in organizations over time, prevent misunderstandings of leader humorous behavior, and enrich leaders’ sense of humor by increasing their experience and insights into norms and appropriate situations. This study lays the foundation for a proper understanding of the different aspects of leader humorous behavior and its implementation in organizations, and introduces humor as a positive ethical behavior with potentially positive outcomes.