bluuebunny/crossref_metadata_2025_split huggingface dataset:
Biological characteristics of flowers and examination of pollen viability at different developmental stages of Epimedium sagittatum( Sieb. et Zucc. )Maxim
Authors: He Jianglong , Pei Lixin , Ji Baoyu , Wang Hai-bo , Zhong Hua , Dong Chengming , Chen Suiqing , Li Xiuqing , Li Panpan 
Published: November 2023

Abstract
To gain a deeper understanding of the flowering pattern and reproductive characteristics of Epimedium sagittatum, to enrich the research on the flower development of Epimedium sagittatum and its reproductive regulation, and to screen the methods suitable for the rapid detection of pollen viability of Epimedium sagittatum and to promote its cross-breeding. The characteristics of its flower parts were observed, recorded and measured, and the pollen viability of Epimedium sagittatumwas determined by five methods, including TTC staining, I2-KI staining, red ink staining, peroxidase method and in vitro germination method. The flowering process of Epimedium sagittatum can be divided into five stages: calyx dehiscence, bract spathe, petal outgrowth, pollen dispersal, and pollination and withering. The results of I2-KI staining and peroxidase method were significantly higher than those of other methods; the in vitro germination method was intuitive and accurate, but the operation was complicated and time-consuming; the red ink staining method was easy to operate and had obvious staining effect, and the results were the closest to those of the in vitro germination method; and it was found that the pollen of Epimedium sagittatum was not as effective as the in vitro germination method at the bud stamen stage, the flower stigma and the flower bud. It was also found that the pollen viability and germination rate of Epimedium sagittatum pollen were higher in the three periods of bud spitting, petal adductor and pollen dispersal. Comparing the five methods, the red ink staining method was found to be a better method for the rapid detection of pollen viability; the best pollination periods of Epimedium sagittatum were the bud stamen stage, petal adductor stage, and pollen dispersal stage of flowers at the peak of bloom. This study on the flowering and fruiting pattern of Epimedium sagittatum, and the related mechanism of sexual reproduction, can be used as a reference for the next step of research on the breeding of Epimedium sagittatum.
Experimental study of the dynamics of coating flow on fiber array
Authors: Wang Bin , Liu Rong 
Published: November 2023

Abstract

The present paper investigated the dynamics of coating flow on array of cylindrical fibres. In the experiments, it is observed that there exists three distinct flow regimes when the fiber array is fully coated by liquid film, namely, regime‘a’, ‘b’ and ‘c’. The flow regime ‘a’ is characterized by the formation of a streamwise uniform film; The flow regime ‘b’ and ‘c’ are in the form of traveling waves consisting of asymmetrical wavy structures and symmetrical beads, respectively. We conducted a comprehensive parametric study on the dynamics of the coating flow on fiber array, including the flow rate, fiber spacing and droplet amplitude, all of which serve as reliable indicators of different flow regimes.
High-Protein Supplementation and Neuromuscular Electric Stimulation after Aneurysmal Subarachnoid Hemorrhage Increases Systemic Amino Acid and Oxidative Metabolism: A Plasma Metabolomics Approach
Authors: Gusdon Aaron M , Savarraj Jude PJ , Feng Dians , Starkman Adam , Li Guoyan , Bodanapally Uttam , Zimmerman William Denny , Ryan Alice S , Choi Huimahn A , Badjatia Neeraj 
Published: November 2023

Abstract
Background
The INSPIRE randomized clinical trial demonstrated that a high protein diet (HPRO) combined with neuromuscular electrical stimulation (NMES) attenuates muscle atrophy and may improve functional outcomes after aSAH. Using an untargeted metabolomics approach, we sought to identify specific metabolites mediating these effects.
Methods
Blood samples were collected from subjects on admission prior to randomization to either standard of care (SOC; N=12) or HPRO+NMES (N=12) and at 7 days as part of the INSPIRE protocol. Untargeted metabolomics were performed for each plasma sample. Paired fold changes were calculated for each metabolite among subjects in the HPRO+NMES group at baseline and 7 days after intervention. Changes in metabolites from baseline to 7 days were compared for the HPRO+NMES and SOC groups. Sparse partial least squared discriminant analysis (sPLS-DA) identified metabolites discriminating each group. Pearson’s correlation coefficients were calculated between each metabolite and total protein per day, nitrogen balance, and muscle volume Multivariable models were developed to determine associations between each metabolite and muscle volume.
Results
A total of 18 unique metabolites were identified including pre and post treatment and differentiating SOC vs HPRO+NMES. Of these, 9 had significant positive correlations with protein intake: N-acetylserine (ρ=0.61, P=1.56x10-3), N-acetylleucine (ρ=0.58, P=2.97x10-3), β-hydroxyisovaleroylcarnitine (ρ=0.53, P=8.35x10-3), tiglyl carnitine (ρ=0.48, P=0.0168), N-acetylisoleucine (ρ=0.48, P=0.0183), N-acetylthreonine (ρ=0.47, P=0.0218), N-acetylkynurenine (ρ=0.45, P=0.0263), N-acetylvaline (ρ=0.44, P=0.0306), and urea (ρ=0.43, P=0.0381). In multivariable regression models, N-acetylleucine was significantly associated with preserved temporalis [OR 1.08 (95%CI 1.01, 1.16)] and quadricep [OR 1.08 (95%CI 1.02, 1.15)] muscle volume. Quinolinate was also significantly associated with preserved temporalis [OR 1.05 (95%CI 1.01, 1.09)] and quadricep [OR 1.04 (95%CI 1.00, 1.07)] muscle volume. N-acetylserine, N-acetylcitrulline, and b-hydroxyisovaleroylcarnitine were also associated with preserved temporalis or quadricep volume.
Conclusions
Metabolites defining the HPRO+NMES intervention mainly consisted of amino acid derivatives. These metabolites had strong correlations with protein intake and were associated with preserved muscle volume.
Company Management in the Insurance Industry: Valuing Employees and Their Commitment to Work
Authors: Serrasqueiro João , Félix Marta , Veiga Pedro 
Published: November 2023

Abstract
The role of employees within an organizational has become the subject of research, both in academia and in companies themselves. Nowadays, it is important to realize that companies must value the way they manage their relationships with employees, so that they can create value and benefits for both parties. The aim of this research is to analyze which aspects lead to greater commitment on the part of employees and what makes them feel valued in their organizations. To meet this objective, a quantitative methodology was used, through the application of a questionnaire to various employees in the insurance industry. The results show a positive relationship between leadership, the inclusion of employees and their commitment to work, and also that participation in decision-making positively influences their satisfaction, appreciation and loyalty to the company they work for. It can therefore be concluded that investing in employees, as well as increasing their satisfaction and commitment, is crucial for sustainable growth and organizational success.
Phylogenetic study of the Hungarian-speaking Baranja (Croatia) and Zobor region (Slovakia) populations
Authors: Borbély Noémi , Dudás Dániel , Tapasztó Attila , Dudás-Boda Eszter , Csáky Veronika , Szeifert Bea , Mende Balázs Gusztáv , Egyed Balázs , Szécsényi-Nagy Anna , Pamjav Horolma 
Published: November 2023

Abstract

In this study, we delved into the uniparental genetic lineage of Hungarian-speaking minorities residing in rural villages of Baranja and the Zobor region, located in contemporary Croatia and Slovakia, respectively. Our focus was on identifying ancestral patterns by examining genetic markers distributed across the entire mitogenome and on the Y-chromosomes. This allowed us to discern disparities in regional genetic structures within these communities. By integrating our newly acquired genetic data from a total of 168 participants with pre-existing Eurasian and ancient DNA datasets, our goal was to enrich the understanding of the genetic history trajectories of Carpathian Basin populations. Our findings suggest that while population-based analyses may not be sufficiently robust to detect fine-scale uniparental genetic patterns with the sample sizes at hand, phylogenetic analysis of Short Tandem Repeat (STR) data and mitogenome sequences did uncover multiple lineage ties to far-flung regions and eras. While the predominant portions of both paternal and maternal DNA align with the East-Central European spectrum, rarer subhaplogroups and lineages have unveiled ancient ties to both prehistoric and historic populations spanning Europe and Eastern Eurasia. This research augments the expansive field of phylogenetics, offering critical perspectives on the genetic constitution and heritage of the communities of East-Central Europe.
Police-referred psychiatric emergency presentations during the first and second wave of COVID-19 in Berlin, Germany: a retrospective chart review
Authors: Goldschmidt Thomas , Kippe Yann David , Gutwinski Stefan , Deutscher Karl , Schouler-Ocak Meryam , Kroehn-Liedtke Franziska 
Published: November 2023

Abstract

Background
Literature on psychiatric emergency services (PES) presentations during the COVID-19 pandemic showed heterogeneous results regarding patients brought in by police (BIBP). This is the first study primarily focusing on patients BIBP in a PES during the COVID-19-period.
Methods
Case documentation records during the first and second wave of the COVID-19 pandemic in a PES in Berlin, Germany were analyzed using descriptive data analysis and binomial logistic regression analysis to detect factors that predict presentations BIBP.
Results
5440 PES presentations: 2.4% BIBP during the first wave vs. 16.3% during its control period; second wave: 17.6% BIBP vs. 14.9% during its control period. In both waves, absolute increases in presentations BIBP were seen compared to control (p = .029, p = .028, respectively). COVID-19-period was a predictor for presentations BIBP during the first wave, when associated with inpatient admission or diagnosis of schizophrenia and psychotic disorders. No COVID-19 associated effects were found during the second wave. The following factors predicted presentations BIBP independently of COVID-19: younger age, male gender, inpatient admissions, aggressive behavior, suicide attempt prior to presentation and diagnosis of substance use disorders; depressive disorders were negatively associated.
Conclusions
During the COVID-19 pandemic, there was an increase in PES presentations BIBP. During the first wave (not the second wave), patients with schizophrenia and psychotic disorders were especially at risk of presentations BIBP. As outpatient facilities were less available during the first wave, which normalized during the second wave, this might be an explaining factor and should be a caveat for future pandemics. Additionally, general factors predicting PES presentations BIBP are reported that replenish the present literature.
The Identification of Hub Genes Associated with Pure Ground Glass Nodules Using Weighted Gene Co-Expression Network Analysis
Authors: Cheng Yuan , Song Zuoqing 
Published: November 2023

Abstract

Background
Whether there are invasive components in pure ground glass nodules(pGGNs) in the lungs is still a huge challenge to forecast. The objective of our study is to investigate and identify the potential biomarker genes for pure ground glass nodule(pGGN) based on the method of bioinformatics analysis.
Methods
To investigate differentially expressed genes (DEGs), firstly we used the data obtained from the gene expression omnibus (GEO) database.Next Weighted gene co-expression network analysis (WGCNA) was used to investigate the co-expression network of DEGs and seven key modules were found. We chose the black key module as the key one in correlation with pGGN. SangerBox software was used for analyses of Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Then we used STRING to create a protein-protein interaction (PPI) network, and the chosen module genes were analyzed by Cytoscape software. At last the polymerase chain reaction (PCR) was used to evaluate the value of these hub genes in pGGN patients’ tumor tissues compared to controls.
Results
There are a total of 4475 DEGs were screened out from GSE193725, then 225 DEGs were identified in black key module. And these DEGs were found to be enriched for various functions and pathways, such as extracellular exosome, vesicle, protein processing in endoplasmic reticulum, metabolic pathways, ribosome, and so on. Among these DEGs, 6 overlapped hub genes with high degrees of stress method were selected. These hub genes include RPL4, RPL8, RPLP0, RPS16, RPS2 and CCT3.And relative expression levels of CCT3 and RPL8 mRNA were both regulated in pGGN patients’ tumor tissues compared to controls. To summarize, the determined DEGs, pathways, modules, and overlapped hub genes can throw light on the potential molecular mechanisms of pGGN.
An evolutionary feature selection method based on probability-based initialized particle swarm optimization
Authors: Pan Xiaoying , Lei Mingzhu , Sun Jia , Wang Hao , Ju Tong , Bai Lin 
Published: November 2023

Abstract
Feature selection is a common data preprocessing technique that aims to construct better models by selecting the most predictive features. Existing particle swarm optimization-based feature selection algorithms encounter two challenges when dealing with high-dimensional problems: easy to fall into local optimum and high computational cost. Therefore, this paper proposes an evolutionary dual-task feature selection method based on probability-based initialization particle swarm optimization (PPSO-EDT), which aims to find optimal solutions by transferring knowledge between two related tasks. Firstly, a probability-based initialization strategy is designed to accelerate population convergence by fully utilizing the correlation between labels and features. Secondly, a task generation strategy based on feature correlation was designed, which constructs the main task and auxiliary task by selecting feature subsets with highly correlated values and feature subsets without redundancy, respectively. Finally, an multi-task transfer mechanism is used to transfer knowledge and find optimal solutions. The results on 12 high-dimensional datasets indicate that the proposed method achieves high classification performance with a small feature subset in a relatively short amount of time.
Comprehensive Analysis of Cell-Free DNA Fragmentation Across Cancer Stages
Authors: Guo Xin , Nie Lijuan , Yan Junjun , Ling Tinsheng , Zhang Fei , Chen Yi , Li Mengyu , Zeng Wenqi , Chen Yugen , Chu Wen-Ming , Ge Olivia , Guo Qing , Ge Dongliang , Zhou Xiqiao 
Published: November 2023

Abstract
Background Circulating cell-free DNA (cfDNA) in the bloodstream exhibits cancer-derived fragmentation patterns, providing a noninvasive diagnostic avenue for cancer patients. However, the alterations of cfDNA fragmentation patterns throughout cancer progression remain largely unexplored.Methods In this study, we investigated the relationship between cfDNA fragmentation profiles and cancer stages by analyzing a comprehensive dataset consisting of 214 whole-genome cfDNA samples across seven cancer types.Results Our analysis revealed that the association between cfDNA fragmentation patterns and cancer stages showcases variations in distinct cancer types. Notably, cfDNA fragmentation patterns in colorectal cancer (CRC) demonstrated a strong correlation with cancer stages. We validated this finding using an independent targeted cfDNA dataset with 29 CRC samples. Furthermore, we introduced "frag2stage", a machine learning model that leverages cfDNA fragmentation data to differentiate cancer stages of CRC. Through evaluation across two independent cfDNA datasets, our model consistently demonstrated its ability to distinguish CRC cancer stages with area under the curve (AUC) values ranging from 0.68 to 0.99.Conclusion Our analysis provides strong evidence that cfDNA fragmentation patterns might carry yet undiscovered genetic and epigenetic signals, highlighting their promising potential for broader diagnostic applications in oncology.
CSEPC: Deep Learning Framework for Small Sample Multimodal Medical Image Data in Alzheimer’s Disease Prediction
Authors: Liu Jingyuan , Yu Xiaojie , Fukuyama Hidenao , Murai Toshiya , Wu Jinglong , Li Qi , Zhang Zhilin 
Published: November 2023

Abstract
Background
Alzheimer’s disease (AD) is a neurodegenera­tive disorder that has a significant impact on global healthcare, especially among the elderly population. The prediction of its progression is crucial for slowing down the disease's progression and subsequent intervention management. However, the challenge of small sample sizes remains a significant obstacle in predicting the progression of AD.
Methods
In this study, we propose a novel diagnostic algorithm network architecture named cross-scale equilibrium pyramid coupling (CSEPC). This model adopts the scale equilibrium theory and integrates it with modal coupling properties, taking into account the comprehensive features of multimodal data. This structure not only enhances the feature representation of intermodal and intramodal information from multimodal data but also significantly reduces the number of learning parameters, making it better suited for small-sample characteristics.
Results
Through our experimental tests, our proposed model performs comparably or even superior to those from previous studies in conversion prediction and AD diagnosis. Our model achieves an accuracy (ACC) of 85.67% and an area under the curve (AUC) of 0.98 in predicting the progression from mild cognitive impairment (MCI) to AD. To further validate its efficacy, we used our method to perform diagnostic tasks for different stages of AD. In these two distinct AD classification tasks, our approach also achieved leading performance.
Conclusions
In conclusion, the performance of our model in various tasks has demonstrated its significant potential in the field of small-sample multimodal medical imaging classification, especially in the application of predicting the progression of Alzheimer's disease. This advancement could significantly assist clinicians in effectively managing and intervening in the disease progression of patients with early-stage Alzheimer's disease.
Effect of extraction conditions on the extraction yield, swelling capacity, emulsion capacity and emulsion stability of psyllium husk seed mucilage extracted from Plantago ovate
Authors: Assi Abdul Ghani , Kalkan Ezgi , Maskan Medeni 
Published: November 2023

Abstract
Response Surface Methodology based on a 4-factored 3-leveled Box Behnken design was used to characterize psyllium mucilage extracted from Plantago ovate and investigate its functional properties. The independent variables were as follows: extraction temperature (50–80°C), extraction time (60–120 min), water-to- psyllium husk seed ratio (50/1-100/1) and water pH (4–10). On the other hand, the dependent variables were decided as extraction yield, swelling capacity, emulsion capacity and emulsion stability. Optimum extraction conditions based on numerical optimization were 79.99°C extraction temperature, 60.02 min extraction time, 99.99:1 water to seed ratio and 7.38 water pH. Within these optimum conditions, 29.54% extraction yield, 25.47 ml/g swelling capacity, 68.39% emulsion capacity, 76.61% emulsion stability were predicted. The results indicate that psyllium mucilage can be used as a promising additive as stabilizing agent in food formulations.
Bacillus subtilis as an effective tool for bioremediation of lead, copper and cadmium in water
Authors: Rocco Debora , Freire Bruna Moreira , Oliveira Thais Jardim , Alves Patricia Lius Melo , Oliveira José Martins , Batista Bruno Lemos , Grotto Denise , Jozala Angela Faustino 
Published: November 2023

Abstract
Bioremediation is a promising technique for the removal and recovery of contaminated areas, which is based on the ability of organisms to convert toxic substances into less harmful or inert compounds. Here, we evaluate the capacity of the Bacillus subtilis (B. subtilis) bacteria to biodegrade heavy metals such as lead, copper and cadmium in water samples. Water samples were laboratory contaminated with lead at 500 ppm, copper and cadmium at 100 ppm. First, the growth curve of B. subitlis was plotted using Tryptone Soy Broth (TSB) at 100% (TSB100) and 33% (TSB33). Later, B. subitlis was studied in water containing all three metals separately and simultaneously. All solutions were stirred at 150 rpm, 35°C for periods that ranged from 1h to 144h. The heavy metal analyses were performed by X-ray fluorescence and Inductively Coupled Plasma Mass Spectrometry. The results showed that B. subtilis was resistant to Cu, Cd and Pb in water, with active multiplication and reduction in the concentration of the metals. The highest removal efficiency, in the presence of each heavy metal, reached 100% with Pb, 92.3% with Cd and 89% with Cu. In the solution with the mixture of heavy metals, Cd and Pb levels reduced significantly. However, the mixture of metals negatively affected the removal of Cu. In conclusion, the implement using Bacillus-type bacteria can be efficient in the biodegradation of heavy metals from aqueous solutions and can be employed as a cost-effective treatment for the bioremediation of industrial effluents and contaminated areas.
Analysis of Non-Ventriculoperitoneal Shunts at Red Cross War Memorial Children’s Hospital
Authors: De John Byron G , Figaji Anthony A , Enslin Johannes Marthinus Nicolaas 
Published: November 2023

Abstract
Background
At Red Cross War Memorial Children’s Hospital (RCCH) it is the preferred practice to use non-ventriculoperitoneal (non-VP) shunts when the peritoneum is ineffective or contra-indicated for cerebrospinal fluid (CSF) diversion, and when endoscopy is not an option. The objective of this study is to evaluate the clinical course of patients having undergone these procedures.
Method
A single centre retrospective review at RCCH wherein forty-three children with a total of 59 episodes of non-VP shunt placement over a 12-year period were identified for inclusion.
Results
Twenty-five ventriculoatrial (VA) and 32 ventriculopleural (VPL) shunts were analysed with a median age at insertion of 2,9 (0,3–14,9) and 5,3 years (0,5–13,4) respectively. The median number of previous shunt procedures prior to VA or VPL shunt insertion was 6,0 (2–28) versus 4,5 (2–17) respectively. Three VA (12,0%) and three VPL (9,4%) shunt patients were lost to follow up. Of those remaining, 10 VA shunts (45,5%) compared to 19 (65,5%) VPL shunts required revision. One ventriculovesical and one ventriculocholecystic shunt were placed in the same patient after 21 and 25 shunt related procedures respectively, and both were revised within 3-weeks of insertion. Median shunt survival was 8 months longer for the VA compared to the VPL shunts, being 13,5 (0–67) and 5 months (0-118) respectively. Complications for VA shunts were low, with the overall shunt sepsis rate in the VA group at 4% (n = 1) compared to 15,6% (n = 5) in the VPL group.
Conclusion
Our findings support that VA and VPL shunts are acceptable second-line options in an already compromised group of patients where safe treatment options are limited, provided attention is paid to the technical details specific to their placement.