bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dual role of KHCO₃ priming: reduces seed-borne pathogens on sorghum seeds and promotes seed germination
Authors: Dong Shuai , Peng Keqin , Liu Qiyuan , Zhang Min , Luo Yan , Li Zhen hua 
Published: July 2024

Abstract

Background
Seed-borne diseases have seriously affected the sustainability of sorghum cultivation in China as the demand for organic products in the winemaking industry has limited the use of chemical fungicides.
Results
This study conducted a comprehensive analysis of fungal diversity in sorghum seeds from three major growing regions in Guizhou Province. Using a combination of traditional tissue separation and high-throughput sequencing, we identified Colletotrichum, Fusarium, Cladosporium, and Alternaria as dominant fungi. Pathogenicity tests revealed that strains GD202206, GD202219, and GD202242 were pathogenic and were identified as C. sublineola through morphological and multi-locus phylogeny analysis (ITS、CAPDH、ACT、CHS-1 and TUB2). 16 fungicides for seed priming experiments with sorghum seeds, the results indicated that priming with KHCO₃ significantly enhanced germination of the sorghum seeds, with both indoor and outdoor emergence rates notably higher. Analysis of the fungal changes before and after KHCO₃ priming revealed a significant reduction in the abundance of the Colletotrichum genus. Additionally, KHCO₃ altered the community structure of fungi within the sorghum seeds, reducing population richness. Inter-generic relationships were rebalanced, with antagonism decreased and synergy increased following KHCO₃ treatment. Non-target metabolomic analysis indicated that KHCO₃ enhances sorghum seed germination via the phenylalanine and flavonoid pathways and exhibits antifungal properties through the cyanoamino acid metabolic pathway.
Conclusion
This study identified C. sublineola as the primary pathogenic fungus carried by sorghum seeds. KHCO₃ treatment has a dual effect on sorghum seeds: on one hand, it suppresses pathogen transmission by reducing the abundance of the Colletotrichum genus; on the other hand, it promotes germination and seedling emergence, thereby enhancing both germination and emergence rates.
Association of digital health literacy, health lifestyles and psychological resilience among undergraduate nursing students in China: A cross-sectional study
Authors: Liu Linfeng , Fu Mengxue , wu Jijun , Wang Hongyan , Zhao Jiaorong , Chen Pei , Cao Jun , Zhang Wen , Lin Qin , Li Ling 
Published: July 2024

Abstract

Background:Digital health literacy plays a crucial role in people's access to reliable information and making health-related decisions. While the levels of digital health literacy in the general population have been widely studied, there is limited research on the status of digital health literacy among undergraduate nursing students in China.
Objective: This study aims to understand the levels of digital health literacy among undergraduate nursing students in China and its associated influencing factors.
Methods:Employing a descriptive cross-sectional research design, eligible Chinese nursing undergraduates were surveyed from June to October 2023. The College Students' Digital Health Literacy Scalewas used to assess the digital health literacy levels of undergraduate nursing students in China.
Results: A total of 373 undergraduate nursing students were included. The digital health literacy score was 74.78±8.44, the health lifestyles score was 127.14±11.22, and the psychological resilience score was 79.21±11.02. Pearson correlation analysis results indicated a positive correlation between the digital health literacy of Chinese nursing undergraduates and their health lifestyles and psychological resilience. The results of multiple linear regression analysis showed that volunteer
activity experience, academic performance, physical fitness, psychological traits, health lifestyles and psychological resilience are the influencing factors of digital health literacy of undergraduate nursing students in China (P < 0.05).
Conclusions: The digital health literacy of undergraduate nursing students in China is at a moderate level. There is a correlation between the digital health literacy of nursing undergraduates and their health lifestyles and psychological resilience. Future research should consider interventions in digital health literacy for undergraduate nursing students in China from the perspectives of health lifestyles and psychological resilience.
Impact of climate-smart agriculture on the income and food security of cassava-producing households in the Savalou commune in Benin
Authors: Midjangninou Lyré Sarah Aymar , Bonou Alice , Chogou Sylvain Kpenavoun 
Published: July 2024

Abstract

Climate disruption today represents a threat to the environment and sustainable development. Climate-Smart Agriculture (CSA) is an appropriate adaptation approach to climate change. It allows producers to improve their production and act on their food security, despite the conditions of climate change while limiting the causes arising from agriculture. The objective of this study is to evaluate the impact of CSA, through the use of harvest residues in cassava fields, on the income and food security of cassava producing households in Savalou. The three-stage sampling method made it possible to draw a random sample of 360 cassava producers including 180 users of pigeon pea, mucuna and peanut harvest residues. The average income from cassava production during the last 12 months (until July 2023) is 366,400 FCFA with 387,340 FCFA for beneficiaries compared to 322,060 FCFA for non-beneficiaries. The impact analysis was done with the matching method based on propensity scores. The results of this impact study showed that this adoption contributes to improving income from cassava production by 35,135 FCFA and household food security by 0.10 points, on average per household per year. It would therefore be useful to promote and improve this type of agriculture, in order to ensure sustainable development of the agricultural sector and improve food security.
NaCl salt stress and PEG water stress differentially affect germination and early seedling growth of two sesame (Sesamum indicum L.) cultivars
Authors: El-Katony Taha Mohamed , Hassan Nemat Mohamed , Abo-Ismael Samia Helmy , Abdelfatah Shaimaa Nassim 
Published: July 2024

Abstract

Drought stress and salt stress are serious challenges to crop productivity in the arid lands. This work investigates the impact of NaCl-salt stress and PEG-water stress on germination and embryo growth of two sesame cultivars. The red seeds of Sohg were larger with oblong appearance and lower density relative to the white seeds of Shnd. Seeds were germinated in the dark in isosmotic solutions of NaCl and PEG-6000 at 0, -0.103, -0.205, -0.410 and − 0.615 MPa. The time-based parameters, e.g. velocity, uniformity and synchrony of germination were more reliable measures of germination efficiency than the final germination percentage. The impact of PEG was more severe than that of NaCl particularly on Sohg. The peaks of daily germination percentage were lowered and delayed under stress. The genotypic variability in germinability became evident under stress in favor of Shnd. Radicle length was the most reliable measure of seedling growth but was subjected to stronger impact of NaCl than PEG. Although Na+ mobilization from the seed to the emerging embryo was indifferent in the two cultivars in PEG solutions, Shnd exhibited higher Na+ uptake from NaCl solutions. Whereas K+ mobilization was restricted by NaCl only in Sohg, it was hastened by PEG equally in the two cultivars. The stress-vulnerable cv. (Sohg) recovered with higher magnitude than Shnd, particularly from the more stressing osmoticum (PEG). The indices of germination recovery were highest in PEG-pretreated Sohg while the fresh weight of recovered seedlings was highest in NaCl-pretreated Sohg.
Single-Cell, Single-Nucleus and Xenium-Based Spatial Transcriptomics Analyses Reveal Inflammatory Activation and Altered Cell Interactions in the Hippocampus in Mice with Temporal Lobe Epilepsy.
Authors: Liu Quanlei , Shen Chunhao , Dai Yang , Tang Ting , Hou Changkai , Yang Hongyi , Wang Yihe , Xu Jinkun , Lu Yongchang , Wang Yunming , Shan Yongzhi , Wei Penghu , Zhao Guoguang 
Published: July 2024

Abstract

Background:
Temporal lobe epilepsy (TLE) is among the most common types of epilepsy and often leads to cognitive, emotional, and psychiatric issues due to the frequent seizures. A notable pathological change related to TLE is hippocampal sclerosis (HS), which is characterized by neuronal loss, gliosis, and an increased neuron fibre density. The mechanisms underlying TLE-HS development remain unclear, but the reactive transcriptomic changes in glial cells and neurons of the hippocampus post-epileptogenesis may provide insights.
Methods:
To induce TLE, 200 nl of kainic acid (KA) was stereotactically injected into the hippocampal CA1 region of mice, followed by a 7-day postinjection period. Single-cell RNA sequencing (ScRNA-seq), single-nucleus RNA sequencing (SnRNA-seq), and Xenium-based spatial transcriptomics analyses were employed to evaluate the changes in mRNA expression in glial cells and neurons.
Results:
From the ScRNA-seq and SnRNA-seq data, 31,390 glial cells and 48,221 neuronal nuclei were identified. Analysis of the differentially expressed genes (DEGs) revealed significant transcriptomic alterations in the hippocampal cells of mice with TLE, affecting hundreds to thousands of mRNAs and their signalling pathways. Enrichment analysis indicated notable activation of stress and inflammatory pathways in the TLE hippocampus, while pathways related to axonal development and neural support were suppressed. Xenium analysis demonstrated the expression of all 247 genes across mouse brain sections, revealing the spatial distributions of their expression in 27 cell types. Integrated analysis of the DEGs identified via the three sequencing techniques revealed that Spp1, Trem2, and Cd68 were upregulated in all glial cell types and in the Xenium data; Penk, Sorcs3, and Plekha2 were upregulated in all neuronal cell types and in the Xenium data; and Tle4 and Sipa1l3 were downregulated in all glial cell types and in the Xenium data.
Conclusion:
In this study, a high-resolution single-cell transcriptomic atlas of the hippocampus in mice with TLE was established, revealing potential intrinsic mechanisms driving TLE-associated inflammatory activation and altered cell interactions. These findings provide valuable insights for further exploration of HS development and epileptogenesis.
Efficient Removal of Iron (III), Zinc (II) and Manganese (II) Using Polyurethane Foam and Charcoal Impregnated with Di-(2-Ethylhexyl) Phosphoric Acid (D2EHPA) from crude phosphoric acid and wastewater
Authors: Qayed Marwa Malek , Khalil Mostafa Mohamed Hassan , Razek Taha Abd EL-Azim Mohammad Abd El , Awais Mohamed Saeed 
Published: July 2024

Abstract

Purification of crude phosphoric acid manufactured by the wet process from toxic heavy metals such as Iron, zinc, and Manganese is considered to be a very significant environmental and economical procedure. For studying the purification of phosphoric acid, a synthetic solution of 100 ppm from Iron (III), Zinc (II), and Manganese (II) was prepared. The present work aimed to remove Iron (III), Zinc(II), and Manganese(II) from the synthetic liquor by Polyurethane foam (PU) and Charcoal (C) impregnated with di-(2-ethylhexyl) phosphoric acid (D2EHPA) to purify the solution and find out which impregnated sorbent material introduces the best adsorption characters for the presented heavy metals. The results showed that the % Impregnation D2EHPA on C is the highest which equals 56.97% under optimal conditions of impregnation D2EHPA with C and the maximum adsorption capacity was at D2EHPA's concentration of 0.23 Mol/L at contact time 5 hrs, m/v ratio 6g/L and using Benzene as diluents in room temperature. By applying the SIR to remove Iron (III), Zinc(II), and Manganese(II) from a 100 ppm synthetic solution, the results showed that the preferred parameters are pH 3 for Fe, pH 6 for Zn, pH 7 for Mn, time 3h., m/v ratio = 0.05gm/10ml at room temperature. The SIR was effective in removing heavy metals from crude phosphoric acid.
An efficient video slice encryption scheme and its application
Authors: Huang Qinyou , Wang Luping , Chen Jie 
Published: July 2024

Abstract

With the widespread application of multimedia data in cloud computing environments, ensuring the security and privacy of video content has become a pressing challenge. Traditional encryption methods have limitations; for instance, naive encryption algorithms and selective encryption can protect video content, but they struggle to balance codec compatibility and security. Despite encryption techniques being employed to safeguard video content, concerns persist regarding the security of encrypted videos, especially for highly confidential data. Furthermore, contemporary encryption methods often involve re-encoding and decoding processes, which adversely impact video processing speed. To address this issue, we propose a novel video security encryption scheme that optimally balances encryption speed and security. We introduce a scheme for video fragmentation, design corresponding sorting and merging algorithms, and construct a video transmission framework compatible with this scheme. Secondly, to validate the security of the scheme, we reduce its security to an NP problem and calculate the decryption time complexity, thereby demonstrating its security. Finally, experimental comparisons confirm the efficiency advantage of our scheme in processing large video files. Compared to traditional video encryption techniques, our scheme demonstrates faster overall processing speed and enhanced security when handling large video files.
Active plasma sterilizer for planetary protection and 1 contamination control for space missions
Authors: Roy Subrata , Kosky Justin , Revazishvili Tamara , Roy Sarthak , Brown Sierra , Vichnyakov Vladimir , Rurua Nona , Mastro Emma Noelle , Kobaidze Davit 
Published: July 2024

Abstract

This paper introduces a novel, compact plasma sterilization system, the Active Plasma Sterilizer (APS), for planetary 9 protection space missions. The development of the APS system is done through iterative testing and design modifications aimed 10 at addressing sterilization modalities for time and temperature, cleaning adhesive surfaces, and cleaning protocols beyond 11 alcohol and bleach. Sterilization testing of Deinococcus radiodurans, Geobacillus stearothermophilus (both spores and non-spores), 12 and Aspergillus fumigatus was verified for the APS on relevant materials of 4 to 5 log reduction up to complete killing in 45 13 minutes or less. The material compatibility testing of the APS performed with Stainless Steel 316, Teflon PTFE, and FR-4 PCB 14 using a single exposure showed no visible material degradation through SEM analysis. This study demonstrates the efficacy of 15 the APS technology for use with planetary protection due to its low-temperature operation, low weight and size, zero-plumbing 16 requirements, safety features, sterilization capabilities, and material compatibility.
Method and Performance of Time Holdover for RT-PPT Receivers Utilizing on-line Estimation of Clock Parameters
Authors: Guo Wenfei , Gong Qirui , Zhu Mengmeng , Shi Chuang , Zuo Hongming 
Published: July 2024

Abstract

Real Time Precise Point Timing (RT-PPT) receivers can achieve sub-nanosecond accuracy through precise clock offset estimation and receiver clock discipline. However, when satellite signals are lost, the receiver clock drifts, causing timing errors due to clock noise and environmental factors. Strict autonomous holdover is therefore essential for high-precision timing receivers. This paper proposes a time holdover method based on online clock modelling. At the timing stage, the frequency bias compared to the time reference is estimated and eliminated by the closed control loop. Meanwhile, the recursive least square algorithm is used to estimate the parameters of the clock temperature and ageing effects online. In the event of signal interruption, the initial frequency bias is reduced by one-step prediction, while the clock offset caused by temperature and ageing is compensated for using the estimated parameters. To verify the validity of the method, real experiments were carried out using an RT-PPT receiver with different types of oscillators. The results show that with the method proposed in this paper, we can achieve holdover accuracy better than 1ns in 1h using a rubidium clock after correcting for the initial frequency bias, with an improvement of more than 67% over the free-running clock. And the holdover accuracy of the receiver using an OCXO after correcting for temperature and ageing is better than 1us in 24h, with a performance improvement of more than 70% over the free-running clock.
AREND: A Faster and Robust Solution for Dynamic LR and QR Factorization
Authors: Zhuang Fenghao , He Huiting , Ye Aiping , Zou Lilan 
Published: July 2024

Abstract

Dynamic LR and QR factorization are fundamental problems that exist widely in the control field. However, the existing solutions under noises are lack of convergence speed and anti-interference ability. To this end, this paper incorporates the advantages of Dynamic-Coefficient Type (DCT) and Integration-Enhance Type (IET) Zeroing Neural Dynamic (ZND), and proposes an Adaptive and Robust-Enhanced Neural Dynamic (AREND). On this basis, a Strategy of Integration-Coupling (SIC) is proposed to address multiple error function problems, improving model stability and application scenarios. This strategy is experimentally proven to be effective and has potential expansion capability. After that, the convergence and robustness of our AREND is theoretically analyzed. Furthermore, the proposed AREND is verified by numerical experiments of low-to-high dimensional factorization in comparison with existing solutions. Finally, the real-time 3-D Angle of Arrival (AoA) localization in multiple high-noise conditions, is validated to the accuracy of the proposed model. Code is available at https://github.com/Alana2a3/AREND-Code-Implementation.
Access to land and nature as health determinants: A qualitative analysis exploring meaningful human-nature relationships among Indigenous youth in central Canada
Authors: Hatala Andrew , Morton Darrien , Deschenes Cindy , Bird-Naytowhow Kelley 
Published: July 2024

Abstract

Background:
Human relationships with and connections to nature and the “land” are a commonly accepted Social Determinant of Health. Greater knowledge about these relationships can inform public health policies and interventions focused on health equity among Indigenous populations. Two research questions were explored: (1) what are the experiences of meaningful human-nature relationships among Indigenous youth within central Canada; and (2) how do these relationships function as a determinant of health and wellness within their lives.
Methods:
Drawing from three community-based participatory research (CBPR) projects within two urban centers in Saskatchewan and Manitoba, the integrated qualitative findings presented here involved 92 interviews with 52 Indigenous youth that occurred over a period of nine years (2014–2023). Informed by “two-eyed seeing,” this analysis combined Indigenous Methodologies and a Constructivist Grounded Theory approach.
Results:
Our integrative analysis revealed three cross-cutting themes about meaningful human-nature relationships: (1) promoting cultural belonging and positive identity; (2) connecting to community and family; and (3) supporting spiritual health and relationships. The experiences of young people also emphasized barriers to land and nature access within their local environments.
Interpretation:
This research suggests that policies, practices, and interventions aimed at strengthening urban Indigenous young peoples’ relationships to and connections with nature and the land can have a positive impact on their health and wellness. Public Health systems and healthcare providers can learn about leveraging the health benefits of human-nature relationships at individual and community levels, and this is particularly vital for those working to advance health equity among Indigenous populations.
Optimized phased planning for dynamic rehabilitation of integrated municipal infrastructure
Authors: Minaei Amin , Abusamra Soliman , Hajibabaei Mohsen , Savic Dragan , Zecchin Aaron C. , Creaco Enrico , Sitzenfrei Robert 
Published: July 2024

ABSTRACT

Phased planning for municipal infrastructure is based on the time-dependent status of multiple networks, which is in contrast to the traditional approach, where one-phase construction and a single status are considered for planning system activities. This study integrates and optimizes the corridor-wise intervention planning of water, sewer, and road networks where the number of equally long phases and intervention decisions are among the decision variables showing the extent to which phase number optimization can impact the cost and coordination of the interventions in interdependent systems. Optimizing the phase number for municipal infrastructure optimization within an evolutionary algorithm is a challenging task due to the evolutionary recombination between numerous planning solutions with different decision variable lengths. A multi-phase design and construction approach is developed for the rehabilitation of the system in a real case study in Montreal, Canada. The study involves 20 corridors in which a street section is co-located with water and sewer pipes. A metaheuristic single-objective optimization engine is employed to minimize the total net present value of intervention plan costs for the whole integrated system. The results show that phased optimization could bring about a 25% cost saving for the rehabilitation master plan and coordinated multi-systems intervention activities.
A novel application of waveform matching algorithm for improving monthly runoff forecasting using wavelet–ML models
Authors: Farajpanah Hiwa , Adib Arash , Lotfirad Morteza , Esmaeili-Gisavandani Hassan , Riyahi Mohammad Mehdi , Zaerpour Arash 
Published: July 2024

ABSTRACT

The main goal of this study is to enhance the precision and reliability of monthly runoff forecasts within the complex Navrood watershed, situated in northern Iran. The innovative use of a waveform matching algorithm is a defining feature of this study. This approach is vital in optimizing the selection of the mother wavelet, which is a critical component in wavelet analysis. This is a significant divergence from established techniques in hydrological research, indicating a paradigm change in the area. To thoroughly assess model performance, the Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS) is applied. This all-encompassing evaluation guarantees not only astounding precision but also a near-perfect fit with the ideal solution. The findings highlight the remarkable precision attained by using the hybrid multiresolution analysis (MRA) methodology. The proposed methodology involves the integration of the maximal overlap discrete wavelet transform (MODWT) with a random forest (RF) model, referred to as MRA–RF. The obtained Nash–Sutcliffe efficiency (NSE) score of 0.94 is noteworthy. Furthermore, the model exhibits a low mean absolute error (MAE) of just 0.36 m3/s, a strong p-factor of 73.5%, and a significant d-factor of 37.9% during extensive testing.