bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effectiveness of evidence-based nursing intervention for nasal irrigation after endoscopic sinus surgery in patients with chronic sinusitis：a randomized controlled trial
Authors: Wang Lei , lv Yaru , Chang Xiaowei , Wang Mengyao , Wang Juan , Yang Jianwen , Zhang Chunming 
Published: September 2023

Abstract
Objective
To evaluate its effect of an evidence-based nursing program for nasal irrigation after endoscopic sinus surgery in patients with chronic sinusitis.
Methods
A total of 66 patients with chronic sinusitis who were randomly divided into two groups, the experimental group received evidence-based nasal irrigation nursing, and the control group received conventional nursing. Differences in VAS, SNOT-20, CT, LKES and overall efficacy were assessed between the two groups.
Results
2, 4 and 12 weeks after the intervention, the scores of VAS, SNOT-20, CT and LKES in the two groups were significantly lower than those before the surgery (P < 0.05). Compared with the control group, the scores were significantly lower in the experimental group (P < 0.05). 12 weeks after the intervention, the overall effective rate of treatment in the experimental group was 90.91%, while the control group was 72.73%, but the difference was not statistically significant in treatment effect(P > 0.05).
Conclusion
The implementation of nasal irrigation evidence-based nursing program for patients with chronic sinusitis after endoscopic sinus surgery can promote postoperative nasal mucosal recovery, improve treatment efficiency, and help improve patient comfort, quality of life and other subjective feelings.
Trial registration
The study was registered retrospectively with reference number ChiCTR2300075484 on 06/09/2023.
Development of Indicators and Moral Intelligence Scales for Junior High School Students: Mixed – Method Research
Authors: Prasertsin Ujsara , Sriha Kamontip , Roopsuwankul Pattama 
Published: September 2023

Abstract
The purposes of this research were (1) to study the indicators of moral intelligence for junior high school students, (2) to develop moral intelligence scales for junior high school students, and (3) to assess the needs of moral intelligence for junior high school students. By the mixed-method research, the sample group used in the research was 11 key informants for in-depth interviews, 100 students in mixed classes of 20 schools, 1,997 students in total. The results show the following: 1. The moral intelligence indicators for junior high school students consisted of 6 indicators: Equality, Empathy, Morality, Tolerance, Self-control, and Kindness. 2. To create moral intelligence scales for junior high school students, the Cronbach's alpha coefficients for each section were.939,.920 and.841, respectively. With corroborative component analysis classified by the overall composition, it was found that the mean was at a high level (M = 3.955), with a low distribution with a standard deviation (SD) of 0.576 and a distribution coefficient (C.V.) of 14.566. 3. For needs assessment of moral intelligence for junior high school students, it was found that the third component of morality had the most needs (PNImodified=0.095), followed by the 5th component of self-control (PNImodified=0.081), the second component of empathy (PNImodified=0.075), the 4th component of tolerance (PNImodified=0.073), the 6th component of kindness (PNImodified=0.055) and the first component of equality (PNImodified=0.053).
Optimizing Three-Dimensional Stencil-Operations on Heterogeneous Computing Environments
Authors: Herrmann Nina , Dieckmann Justus , Kuchen Herbert 
Published: September 2023

Abstract

Complex algorithms and enormous data sets require parallel execution of programs to attain results in a reasonable amount of time. Both aspects are combined in the domain of three-dimensional stencil operations, for example, computational fluid dynamics. This work contributes to the research on high-level parallel programming by discussing the generalizable implementation of a three-dimensional stencil skeleton that works in heterogeneous computing environments. Two exemplary programs, a gas simulation with the Lattice Boltzmann method, and a mean blur, are executed in a multi-node multi-graphics processing units environment, proving the runtime improvements in heterogeneous computing environments compared to a sequential program.
Ultrasound-triggered and Glycosylation Inhibition-enhanced Tumor Piezocatalytic Immunotherapy
Authors: Shi Jianlin , Wu Wencheng , Pu Yinying , Bing Jinhong , Wang Liang , Chen Mingqi , Shen Cuiyu , Gao Shuang , Zhou Min 
Published: September 2023

Abstract

Nanocatalytic immunotherapy holds excellent potential for future cancer therapy due to its rapid activation of the immune system to attack tumor cells. However, a high level of N-glycosylation can protect tumor cells, compromising the anticancer immunity of nanocatalytic immunotherapy. Herein, a reactive oxygen species (ROS)-sensitive scaffold (DBG), comprised of the synergistic components of piezocatalytic bismuth ferrite (BiFeO3) nanosheets and glucose/mannose analog 2-deoxy-d-glucose (2-DG), is designed and engineered for enhanced cancer piezocatalytic immunotherapy. After the implantation in the tumor, DBG generates both ROS and piezoelectric signals when excited with ultrasound irradiation, significantly promoting the activation of cytotoxic T lymphocytes and M1 polarization of tumor-associated macrophages. More importantly, DBG-mediated ROS generation can trigger the release of 2-DG to disrupt the N-glycans synthesis, further overcoming the immunosuppressive microenvironment of tumors. Based on four mouse cancer models, we demonstrated the synergy effects of ultrasound-triggered piezo effects and glycosylation inhibition with an enhanced tumor piezocatalytic immunotherapy. A "hot" tumor-immunity niche was produced to inhibit tumor progress and lung metastasis and elicit strong immune memory effects. This work provides a promising piezocatalytic immunotherapy for malignant solid tumors featuring both low immunogenicity and high levels of N-glycosylation.
Energy personas in Danish households
Authors: Tchatchoua Nadine Sandjo , Madsen Line Valdorff , Hansen Anders Rhiger 
Published: September 2023

Abstract
Technologies to monitor the provision of renewable energy are part of emerging technologies to help address the discrepancy between renewable energy production and its related usage in households. This paper presents various ways householders use a technological artifact for the real-time monitoring of renewable energy provision. Such a monitoring thus affords householders with an opportunity to adjust their energy consumption according to renewable energy provision. In Denmark, EWII (previously Barry) is a Danish energy supplier which provides householders with an opportunity to monitor energy sources in ‘real time’ through a technological solution of the same name. This paper uses EWII’s provision as a case for exploring how householders organize themselves to use a technological artefact that supports the monitoring of energy– and its related usage. This study aims to inform technology design through the derivation of four (4) personas. The derived personas highlight the differences in households’ energy monitoring practices and engagement. These personas are characterised as 1) dedicated, 2) organised, 3) sporadic, and 4) convenient. Understanding these differences in energy monitoring practice using the technological artefact form a solid element in the design of future energy technologies that interfere with households’ everyday practices and energy consumption. This is paramount for future energy related technology design, and for the clarification of usage assumptions that are embedded in the rollout of energy related technology as Denmark moves through its green transition.
Improving locum practice in public and Christian Health Association of Malawi hospitals in Malawi
Authors: Chinkhata Mabel Belinda Ngaiyaye , Gundo Rodwell , Msiska Masauko , Mwalabu Gertrude , Mapulanga Patrick 
Published: September 2023

Abstract
Background: The use of locum healthcare workers poses challenges to the quality of care provided. This study explored the strategies for addressing locum challenges and improve locum practice challenges that public and faith-based hospitals in Malawi, face in the implementation of the practice.
Methods: This study used an exploratory descriptive design. In-depth interviews with 15 hospital managers and three focus group discussions with nurses, midwives, medical officers, and clinical officers were conducted in the selected public and faith-based hospitals. All the interviews were audio-recorded and transcribed verbatim. The transcribed data were analysed inductively using thematic analysis.
Results: The participants revealed several strategies to improve the quality of patient care provided by locum healthcare workers. The strategies included orientation of locum healthcare workers, need for regular supportive supervision, development of locum guidelines and adherence to the locum policy, and inclusion of locum payments in the hospital budget.
Conclusion: The study revealed that the use of locum healthcare workers could improve the quality of care and be cost-effective when managed well. Therefore, the availability of clear guidelines can address the challenges that affect the quality of care provided by locum staff.
Study on Algorithm of fault recording analysis combining its time-domain waveforms and phase-domain trajectories
Authors: Ge Qun , Ren Lu , Li Jia 
Published: September 2023

Abstract
When the period of a sinusoidal waveform is taken as a baseline, after sampling time of fault recording are transformed into polar angles and its instantaneous values are transformed into polar diameters, the recording is transformed from its time-domain waveform in a rectangular coordinate system into the phase-domain trajectory in a polar coordinate system. In the paper the recording is analyzed base on the combination of the time-domain waveform and the phase-domain trajectory of the fault recording to mine fault feature parameters for reformulating the recording, and then the reformulated recording is used to substitute the original one to achieve various fault analysis functions in power systems. A short-circuit current containing a dc component being taken as an example, the algorithm consisting of separating, reformulating and adjusting various components from the current waveform are researched. By the algorithm the programs are created in Matlab, after their running the post-adjustment reformulated waveforms with high accuracy are obtained, and their curves of absolute errors pre- and post-adjustment are plotted. The relational problems, such as the calculation of the phase angles of samples and their errors, the accuracy of the reformulated waveforms, etc., are discussed. The research results show that there is a high correlation between the reformulated waveform using the algorithm proposed in the paper and the original one for the fault recording with only dc components, and it can be used to substitute the origin one within an error range.
Geochemical Characterisation of Waste Rock Dump and Its Potential to Predict Acid Mine Drainage
Authors: Kusi James Kwame , Foli Gordon , Peasah Yaw Michael , Akoto Osei 
Published: September 2023

Abstract
This paper evaluates the potential of the abandoned Anyankyirem waste rock dump located in Obuasi to cause acid mine drainage (AMD). Twenty (20) rocks were collected from various locations of the dump site and their elemental and physicochemical compositions were examined. XRD analysis was conducted on the samples to assess the mineralogy. Acid Base Accounting (ABA) test was used to ascertain the AMD potential of the dump. The ABA test comprises calculating the acid neutralization capacity (ANC) and maximum potential acidity (MPA) of the various samples. The MPA and ANC values were used to compute the rock samples' net acid production potential (NAPP). To help with acid mine drainage prediction, a column leaching experiment was carried out. Leachates were collected for over a period of 20 weeks. Physiochemical parameters of the leachates were determined as well as its chemical analysis and estimation of dissolution of calcium carbonate and weathering rate. From the column leaching experiment, rate of weathering of calcium carbonate throughout the 20-week leaching experiment was 3.6%. The ICP-MS and ICP-AES was used to determine the concentrations of heavy metals and major elements from the samples. Iron recorded the highest concentration of 7783.65 mg/kg and the lowest of 0.645 mg/kg was recorded in Bi. The sulphur and carbon contents of the samples ranged from 0.1 to 1.61% and 0.23 to 2.53% respectively. From ABA test and the column leaching test results, Anyankyirem waste rock dump is not acid generating.
Vitamin D deficiency and VDR gene polymorphism FokI (rs2228570) are associated with diabetes mellitus in adults: COVID-Inconfidentes Study
Authors: de Moura Samara Silva , de Menezes-Júnior Luiz Antônio Alves , Rocha Ana Maria Sampaio , Batista Aline Priscila , Sabião Thaís da Silva , de Menezes Mariana Carvalho , Machado-Coelho George Luiz Lins , Carraro Júlia Cristina Cardoso , Meireles Adriana Lúcia 
Published: September 2023

Abstract
Background:
Diabetes mellitus is a chronic and multifactorial condition, including environmental risk factors such as lifestyle habits and genetic conditions.
Objective:
We aimed to evaluate the association of VDRgene polymorphism (rs2228570) FokI and vitamin D levels with diabetes in adults.
Methods:
Cross-sectional population-based study in adults, conducted from October to December 2020 in two Brazilian cities. The outcome variable was diabetes, defined as glycated hemoglobin ≥ 6.5% or self-report medical diagnosis or use of oral hypoglycemic drugs. Vitamin D (25-hydroxyvitamin D) was measured by indirect electrochemiluminescence, and classified as deficiency when 25(OH)D < 20 ng/mL. All participants were genotyped for VDR FokI polymorphism by qPCR and classified as homozygous mutant (ff), heterozygous (Ff), or homozygous wild (FF). The association between the FokI polymorphism, vitamin D levels, and diabetes were estimated using multivariate logistic analysis. A combined analysis between the FokI polymorphism and vitamin D levels with diabetes was also examined. A directed acyclic graph (DAG) was used to select minimal and sufficient adjustment for confounding variables by the backdoor criterion.
Results:
The prevalence of DM was 9.4% and vitamin D deficiency (VDD) was 19.9%. The genotype distribution of FokI polymorphism was 9.9% FF, 44.8% Ff, and 45.3% ff. It was possible to verify a positive association between vitamin D deficiency and DM (OR= 2.19; 95% CI: 1.06-4.50). Individuals with the altered allele (ff) had a 1.78 higher prevalence of DM (OR: 1.78; 95% CI; 1.10-2.87). Combined analyses, individuals with vitamin D deficiency and one or two copies of the altered FokI allele had a higher prevalence of DM (Ff + ff: OR: 1.67; 95% CI; 1.07-2.61; ff: OR: 3.60; 95% CI; 1.40-9.25). Conclusion:
Our data suggest that vitamin D deficiency and FokI polymorphism are associated with DM.
Discovering the Diversity of Cultivable Endophytic Fungi in a Decumbent Subshrub Endemic of the Brazilian Tropical Savanna
Authors: Reis Jefferson Brendon Almeida dos , Bezerra Jadson Diogo Pereira , Vale Helson Mario Martins 
Published: September 2023

Abstract
The diversity of cultivable endophytic fungi in native subshrubs of the Brazilian Cerrado is largely unknown. Given the lack of knowledge, this study investigated the cultivable endophytic mycobiome of stems, leaves, and flowers of Peltaea polymorpha (Malvaceae). In total, 208 endophytic fungi were isolated, 95 from stems, 65 from leaves, and 48 from flowers. The isolates were classified as ascomycetes belonging to three classes, eight orders, ten families, 12 genera, and 31 species. Diaporthe, Nigrospora, and Colletrotrichum were the dominant genera in the three analyzed organs. The richness estimators suggested that the number of species might be slightly higher than observed. The highest values for the Shannon and Simpson diversity indices were observed in stems. Beta diversity showed overlapping of fungal communities in different organs, with a high rate of sharing of taxa. Furthermore, the dominant primary fungal lifestyles were plant pathogens and saprobes. Our findings show that the cultivable endophytic fungal community of P. polymorpha is species-rich and that communities in different organs share numerous genera and species. Finally, our findings reinforce the importance of the Brazilian Cerrado as a reservoir of fungal species to contribute to the national and global estimations of mycodiversity.
Two-dimensional wavelets collocation method for time-space fractional Schrödinger system
Authors: Darwish A. A. , Zedan H. A. , Kawala A. M. , Abdelaziz H. K. 
Published: September 2023

Abstract
This paper proposes a wavelet method to obtain a numerical solution to the time-space fractional Schrödinger equation. With Caputo fractional derivatives, two dimensional Legendre wavelets and their operational matrix with the collocation method are utilized to solve the coupled nonlinear time-space fractional Schrödinger system. Convergence and error analysis of the proposed method are discussed, and two illustrative examples are presented to demonstrate the simplicity and high accuracy of the proposed techniques.
Mathematics Subject Classi cation: 65N35 26A33 35R11 65T60
Automated Quantification of Background Parenchymal Enhancement in Longitudinal Dynamic Contrast-Enhanced MRI for Predicting Neo-adjuvant Chemotherapy Response in Breast Cancer
Authors: Huang Xin , Zhao Zhihe , Dong Rui , Huang Xiaomei , Du Siyao , Dai Yi , Liu Chunling , Liang Changhong , Han Chu , Zhang Lina , Liu Zaiyi , Shi Zhenwei 
Published: September 2023

Abstract
Background
Background parenchymal enhancement (BPE) shows high association with cancer risk and treatment response to neo-adjuvant chemotherapy (NAC) in breast cancer. However, it still lacks automated method for BPE characterization.
Methods
In this retrospective study, we ultimately included 894 patients from three cohorts (GDPH, CUM1 and I-SPY2) for analysis. The proposed processing workflow included two main stages: (1) image pre-processing, development of breast and fibroglandular tissue (FGT) segmentation models, (2) BPE index calculation and evaluation. The dice coefficient and area under the curve (AUC) metric were used to evaluate the segmentation performance and discrimination ability of BPE indices for predicting pathological complete response (pCR).
Results
For breast segmentation, our model achieved impressive dice scores of 0.88 and 0.90 in the test cohorts. Also, the developed FGT segmentation model attained dice scores 0.86 and 0.86 in the test cohorts respectively, reflecting its proficiency in identifying and isolating fibroglandular tissue regions. The ΔBPE0-1indices showed significant association with pCR in the CUM1 and I-SPY2 cohorts, with (OR, 4.861 [CI: 1.248–22.292]; P = 0.030), and (OR, 3.027 [CI: 1.471–6.784]; P = 0.005). Also, the ΔBPE0-1 index presented better predictive performance, with AUCs of 0.614 (CI: 0.506–0.721) and 0.608 (CI: 0.546–0.671) in the CUM1 and I-SPY2 cohorts respectively. Finally, for early treatment, the BPE indices of sub-cohorts split by molecular subtypes are significantly different in the CUM1 (P = 0.044) and I-SPY2 (P < 0.001) cohorts respectively.
Conclusion
In this study, we proposed a novel workflow to automatically quantify BPE in DCE-MRI, and verified the statistically significant predictive ability of BPE for neo-adjuvant chemotherapy efficacy in multi-center data. The delta-BPE between pre-treatment and early treatment within NAC treatment showed significant association with pCR. It is expected that the developed BPE quantification method can aid personalized treatment for patients with breast cancer.
Effects of substituting natural prey for ancestral prey on food preference in the Alcatrazes Island dwarf pitviper
Authors: Alves-Nunes João Miguel , Fellone Adriano , Marques Otavio Augusto Vuolo 
Published: September 2023

Abstract
Snakes employ both chemical and visual cues to recognize their prey during hunting, varying in their dependencies. Sensory studies reveal that genetics, experience, nutritional value, and natural prey restrictions affect dietary choices. However, the effect of substituting natural prey with ancestral prey on dietary preferences remains unknown. To address this question, we opted to explore the Bothrops jararaca group. Despite displaying significant phylogenetic conservatism, this group showcases ecological diversity and dietary variations due to processes of insularization. Among these species, Bothrops alcatraz possesses distinctive characteristics. Owing to the absence of small mammals on Alcatrazes Island, this species has specialized in preying upon ectothermic creatures such as centipedes and lizards. Hence, our objective was to investigate the impact of restricting native prey while introducing ancestral prey (rodents) for 10 years in captivity on the dietary preferences of B. alcatraz. We utilized snakes sourced from the natural environment alongside individuals born in captivity. We carried out two experiments, employing distinct sensory approaches. Nevertheless, the results of the experiments yielded conflicting outcomes. Due to the specific sensory nature of B. alcatraz, the results of the second experiment, which encompassed all sensory cues of the prey, demonstrated that despite a mammal-based diet for a decade, B. alcatraz retained its preference for natural prey. Although this study is limited by sample size, it suggests that B. alcatraz's dietary preference is genetically determined and conserved, with significant implications for the conservation of both this species and other island snakes.
Quantifying the sampling error on burn counts in Monte-Carlo wildfire simulations using Poisson and Gamma distributions
Authors: Waeselynck Valentin , Johnson Gary , Schmidt David , Moritz Max A , Saah David 
Published: September 2023

Abstract

This article provides a precise, quantitative description of the sampling error on burn counts in Monte-Carlo wildfire simulations - that is, the prediction variability introduced by the fact that the set of simulated fires is random and finite. We show that the marginal burn counts are (very nearly) Poisson-distributed in typical settings and infer through Bayesian updating that Gamma distributions are suitable summaries of the remaining uncertainty. In particular, the coefficient of variation of the burn count is equal to the inverse square root of its expected value, and this expected value is proportional to the number of simulated fires multiplied by the asymptotic burn probability. From these results, we derive practical guidelines for choosing the number of simulated fires and estimating the sampling error. Notably, the required number of simulated years is expressed as a power law. Such findings promise to relieve fire modelers of resource-consuming iterative experiments for sizing simulations and assessing their convergence: statistical theory provides better answers, faster.