bluuebunny/crossref_metadata_2025_split huggingface dataset:
Robot trajectory planning for Gear chamfer grinding based on multi-objective collaborative optimization and quintic B-spline interpolation algorithm
Authors: Zhu Yongguo , Wang Xin , Wang Yafei , Zhuo Xin , Zhang Huike , Wan Yuan 
Published: November 2024

Abstract

In response to the shortcomings, such as the incomplete quantification of evaluation indexes for robot trajectory planning and the inadequate consideration of robot joint motion performance during the gear chamfer grinding process, a robot trajectory planning method is proposedbased on multi-objective collaborative optimization and quintic B-spline interpolation. Firstly, the robot trajectory of the gear chamfer grinding is pre-planned based on the three-dimensional model of the gear, and the robot trajectory points are discretized for the gear chamfer grinding.Subsequently, a multi-objective weighted comprehensive evaluation model for the chamfer grinding trajectory is established to quantitatively assess the quality of the chamfer grinding trajectory.Secondly, a multi-objective collaborative genetic algorithm is proposed to solve the mathematical model of the chamfer grinding trajectory, obtaining the optimal solution set of trajectory points.Next, a quintic B-spline interpolation algorithm is used to obtain the characteristic points of the robot joint trajectory to improve the motion performance of the robot joints.Finally, a comprehensive optimization method using the multi-objective collaborative genetic algorithm and the quintic B-spline interpolation algorithm is proposed for the gear chamfer grinding trajectory and joint trajectory of the robot. Experiment results show that the comprehensive evaluation index of the grinding trajectory is significantly improved, and the stability of the robot's motion start-stop is greatly enhanced by using the gear chamfer grinding robot trajectory planning method proposed in this paper.
Starvation tolerance and effects on fitness of predatory mite Amblyseius orientalis
Authors: Sheng Fujing , Wei Jiaxing , Wang Xianjie , Wang Endong , Xu Xuenong , Zhang Bo 
Published: November 2024

Abstract

Amblyseius orientalis Ehara (Acari: Phytoseiidae) has garnered significant attention as an effective predatory mite for controlling spider mites in fruit production in China. However, despite its considerable potential for pest management, A. orientalis may face food shortages during transportation and field application. Currently, there is a lack of research on the effects of starvation on the development, survival, and reproductive capacity of A. orientalis. In this study, we evaluated the impact of starvation during both the developmental and adult stages on the development, survival, and reproduction of A. orientalis. We found that female adults exhibited greater tolerance to starvation than larvae and protonymphs. Approximately 50% of the female adults survived after eight days of starvation. Interestingly, starvation during the early developmental stages extended lifespan, nearly doubling male longevity from 20.56 to 38.00 days, and increasing female longevity from 44.68 to 70.31 days. However, starvation in female adults reduced egg production from 18.46 to 5.33 eggs over a period of ten days, while male reproductive abilities increased from 18.46 to 19.41 eggs. Additionally, the sex ratio of the offspring was not influenced by paternal starvation, but maternal starvation resulted in a male-biased offspring ratio. In conclusion, our study demonstrates that A. orientalis can tolerate starvation at various life stages, enabling it to withstand food shortages during both production and application.
Unveiling Key Feature Genes and Immune Infiltration Patterns in Cervical Cancer Through WGCNA, LASSO, and SVM-RFE Analysis
Authors: Chao Shuai , Liu Shiqiang , Wang Kun , Xie Mingming , Liu Beibei 
Published: November 2024

Abstract

Backgroud:
This study seeks to uncover key gene patterns in Cervical cancer (CC), advance our understanding of its molecular mechanisms and inform more effective therapeutic strategies.
Methods
We analyzed data from the GEO database using differential expression analysis, GO, KEGG, GSEA, and DO pathways. Additionally, we employed WGCNA, LASSO, and SVM-RFE to identify feature genes. These genes were subsequently evaluated in a validation dataset to assess their diagnostic value. The CIBERSORT tool was utilized to evaluate the infiltration of immune cells and their association with the identified feature genes.
Results
We identified 168 DEGs between normal and CC tissue. GO and KEGG analyses indicated that upregulated genes were primarily involved in DNA replication and cell cycle regulation, while downregulated genes were enriched in epidermal development, keratinocyte differentiation. GSEA and DO analyses revealed significant metabolic pathway enrichment in the normal group, contrasting with DNA repair and cell cycle control pathways in the CC group. WGCNA, LASSO regression, and SVM-RFE algorithms pinpointed six key genes: CDKN2A, MCM2, KNTC1, DTL, KIF18B, and ENDOU. All exhibiting similar expression patterns across independent datasets with AUC values above 0.8. CIBERSORT analysis showed significant upregulation of memory B cells, naive CD4 + T cells, M0 and M1 macrophages in the CC group, alongside notable downregulation of CD8 + T cells and memory CD4 + T cells.
Conclusion
This study not only deepens our understanding of the molecular mechanisms of CC, but also lays the foundation for the development of more effective therapeutic strategies. Through further functional validation and mechanistic studies, these key genes and pathways are expected to become important targets for future precision medicine in CC.
In vitro activities of isobavachalcone against planktonic and persister cells and biofilm of Enterococcus faecalis
Authors: Ouyang Lili , Xu Zhicao , Tang Yuanyuan , Li Duoyun , Yu Zhijian , Wen Zewen , Zhang Haigang , Zhang Chaoqin 
Published: November 2024

Abstract

Background
Mounting evidences have demonstrated the extensive pharmacological activities of the natural product isobavachalcone, including antimicrobial activity, inhibition of reverse transcriptase, antitubercular and antioxidant ability et al. However, the antibacterial and antibiofilm activity and its action mode of isobavachalcone against clinical E. faecalis isolates remain elusive. This study aims to evaluate the in vitro antibacterial and anti-biofilm activities of isobavachalcone on clinical E. faecalis isolates from China and further investigate the possible target site of isobavachalcone in E. faecalis.
Results
Our data suggested the MICs of isobavachalcone ranging from 6.25 to 12.5 µM against 220 E. faecalis strains. The robust inhibitory effect of isobavachalcone with sub-MIC concentration ( 1/2xMIC ) against the biofilm formation of E. faecalis was found. The rapid bactericidal effect of isobavachalcone against E. faecalis was demonstrated and more planktonic cells could be killed by isobavachalcone compared with vancomycin, linezolid, or ampicillin at 2, 4, 6, and 12h. No synergetic bactericidal activity of isobavachalcone combined with vancomycin, linezolid, or ampicillin was found. Furthermore, genetic mutation of isobavachalcone-resistant E. faecalis was compared with the parental strain by whole genome sequencing, showing that the functions of the mutated proteins were associated with the PurH and FlgJ proteins and other eight proteins involved in the cell wall or cell membrane biogenesis, DNA synthesis, and energy metabolism. Molecular docking analysis showed that FlgJ protein might serve as the potential target of isobavachalcone in E. faecalis. Other mutations are involved in the cell wall or cell membrane biogenesis, DNA synthesis, and energy metabolism.
Conclusion
This study discovered that isobavachalcone had an antibacterial effect on E. faecalis, and significantly inhibited the biofilm formation of E. faecalis at subinhibitory concentrations. In addition, antibacterial and antibiofilm activity against clinical E. faecalis isolates from China by targeting FlgJ protein.
Optimizing Text-to-SQL Transformations: The Potential of Skeleton Decoupling in SKT-SQL
Authors: Yi Jiawen , Chen Guo 
Published: November 2024

Abstract

The Text-to-SQL technology faces significant challenges in converting natural language questions into SQL code, particularly in handling complexities and diversities in multi-domain and high-complexity tasks. To address these issues, this paper proposes a novel framework, SKT-SQL, which effectively decomposes the key steps in Text-to-SQL transformation, such as skeleton generation and schema linking, through multi-decoupling and skeleton prompting strategies, thereby simplifying the entire process. SKT-SQL employs a schema decoupler to filter relevant schema items linked to the natural language questions, reducing the burden on the model during the parsing process. Concurrently, the skeleton generator guides the language model in generating accurate SQL questions using an abstract SQL skeleton representation. This innovative strategy significantly enhances the accuracy of SQL skeleton generation using smaller-scale language models and optimizes the final SQL query generation results. The core contribution of this paper lies in the analysis of the potential of skeleton-based decoupling, demonstrating the advantages of SKT-SQL in improving the accuracy of Text-to-SQL generation, and providing new insights for future Text-to-SQL methods. Experimental validation on the Spider dataset shows that SKT-SQL excels in execution accuracy (EX) and exact-match accuracy (EM), showcasing its robust potential in complex query scenarios.
Association of circadian rhythms, CLOCK, MTNR1A, and MTNR1B gene polymorphisms and their interactions with type 2 diabetes in coal miners
Authors: Cao Haoyue , Li Qinglin , Yuan Juxiang 
Published: November 2024

Abstract

Objective: To construct comprehensive indicators of circadian rhythm disorder (CICRD) and explore the interaction effects between CICRD and circadian rhythm-related gene polymorphisms (SNPs) on the risk of type 2 diabetes mellitus (T2DM).
Methods: Baseline data were collected from the Xingtai coal site of the Occupational Cohort Study on Health Effects. A cross-sectional study was initially conducted, involving 4,070 coal miners who underwent occupational health examinations during 2017 and 2018. We performed factor analysis to construct the CICRD and logistic regression models to estimate the association between CICRD and T2DM. Restricted cubic spline (RCS) function was used to determine the exposure-response association. In the subsequent case-control analysis, 424 cases and 464 controls were randomly selected from 3,878 male coal miners. Logistic regression model was employed to examine the association between selected SNPs and T2DM. Gene-gene and gene-environment interactions were evaluated using log-linear models and the generalized multifactor dimensionality reduction (GMDR) method.
Results: The CICRD constructed by factor analysis explained 79.771% of the original variance. After adjusting for confounding factors, CICRD was associated with the increased risk of T2DM. Variants at rs10830963 in the MTNR1B gene, rs7958822 in the BMAL2 gene, and rs11605924 in the CRY2 gene were associated with the increased risk of T2DM. Interactions between rs10830963 in the MTNR1B gene and rs11605924 in the CRY2 gene (RERI: 0.2; AP: 0.46), as well as between rs7958822 in the BMAL2 gene and rs11605924 in the CRY2 gene (RERI: 1.55; AP: 0.56), were associated with increased risk of T2DM. A CICRD score ≥ 0.2782 combined with high-risk genotypes at four SNPs (rs10830963 and rs1387153 in MTNR1B, rs7958822 in BMAL2, and rs11605924 in CRY2) was associated with increased risk of T2DM (P < 0.05). The complex intersection of four-factor interaction model (rs10830963-rs1387153-rs7958822-rs11605924) and five-factor interaction model (rs10830963-rs7950226-rs7958822-rs11605924-CICRD) based on GMDR method interactions increased the risk of T2DM in the full data set (P < 0.05).
Conclusion: An increase in CICRD, along with variants at rs10830963 in the MTNR1B gene, rs7958822 in the BMAL2 gene, and rs11605924 in the CRY2 gene, was associated with an increased risk of T2DM among coal miners. The four-factor model (rs10830963-rs1387153-rs7958822-rs11605924) and the five-factor model (rs10830963-rs7950226-rs7958822-rs11605924-CICRD) exhibited significant high-order interactions associated with an increased risk of T2DM among coal miners.
Bioactive Metabolites from Aspergillus niger Associated with Moringa oleifera: Potential for Anti-Infective Agents
Authors: Ali Markwo , Kingsford-Adaboh Robert , Ghoran Salar Hafez , Wahab Atia-tul , Choudhary Muhammad Iqbal 
Published: November 2024

Abstract

This study explores the metabolic profiling of secondary metabolites from the endophytic fungus Aspergillus niger associated with the medicinal plant Moringa oleifera for the discovery of anti-infective agents. Aspergillus niger was isolated and characterised based on morphological traits and molecular phylogenetic analysis, confirmed via nucleotide sequence comparison with sequences on the NCBI database. The effects of cultivation parameters – including medium composition, volume, extraction solvent, and cultivation duration – on metabolite recovery and biological activity were evaluated. Bioassays identified active extracts, which were further fractionated and purified using chromatographic techniques. Mass spectrometry and nuclear magnetic resonance spectroscopy were employed to analyse the isolated metabolites. The results demonstrated that cultivation conditions significantly influenced metabolite production and extract recovery. The study revealed notable antibacterial and antifungal activities against Escherichia coli, Staphylococcus aureus, and Candida albicans among others, although no significant anti-leishmanial, antioxidant, or anti-inflammatory effects were observed. Metabolites identified include fumaric acid, succinic acid, 4-(2-hydroxyethyl)phenol, 5-hydroxymethyl-2-furancarboxylic acid, 4-hydroxybenzoic acid, and N-[2-(4-hydroxyphenyl)ethyl]acetamide. Notably, this study marks the first report of 4-(2-hydroxyethyl)phenol and N-[2-(4-hydroxyphenyl)ethyl]acetamide as isolated from Aspergillus niger. These findings highlight Aspergillus niger as a promising source of bioactive metabolites and provide valuable insights into its potential for the development of novel anti-infective agents.
Genomic surveillance reveals geographical heterogeneity and differences in known and novel insecticide resistance mechanisms in Anopheles arabiensis across Kenya
Authors: Polo Brian , Bennett Kelly L. , Barasa Sonia , Brenas Jon , Agumba Silas , Mwangangi Joseph , Wachira Lucy , Kitur Stanley , Matoke-Muhia Damaris , Mburu David , Ramaita Edith , Juma Elijah O. , Mbogo Charles , Ochomo Eric , Clarkson Christopher , Miles Alistair , Kamau Luna 
Published: November 2024

Abstract

Background
Insecticide resistance in disease vectors poses a significant threat to the control of transmission globally. In Anopheles mosquitoes, resistance has jeopardized gains made in malaria control and led to the resurgence of cases. Although Anopheles arabiensis is a major malaria vector, little is known about its genetic diversity and insecticide resistance mechanisms across geographical space. There is an urgent need to incorporate genomics in resistance monitoring to allow preemptive detection of adaptive alleles.
Methods
We analyzed whole-genome data from 498 An. arabiensis specimens collected across five regions in Kenya. Population structure was assessed and both known and novel resistance mechanisms were investigated through SNP and CNV frequency analysis, genome-wide selection scans and haplotype clustering.
Results
Analyses of whole-genome data revealed geographical population structure between the northwestern region and central coastal Kenya, which was likely influenced by the Great Rift Valley. Distinct geographical differences in insecticide resistance profiles were observed across Kenya, reflecting differences in ecology, land use and selection pressure. For instance, in central Kenya, copy number variants at the Cyp6aa/p gene cluster and carboxylesterase genes associated with metabolic resistance to pyrethroids and organophosphates are fixed. In contrast, northwestern Kenya had mutations associated with both the target site and metabolic resistance to pyrethroids and DDT at high frequencies. Vgsc-L995F mutations occurred at frequencies of up to 44%, and duplications of Cyp9k1 occurred at frequencies of up to 66%. Genome-wide selection scans identified novel candidates under selection in central Kenya, including the Keap1 gene, which is involved in the regulation of multiple detoxification genes, likely due to high insecticide pressure in the region.
Conclusion
Restricted gene flow coupled with heterogeneity in molecular insecticide resistance across Kenya suggests that localized control measures may be more effective in preventing the spread of insecticide resistance in An. arabiensis. This study highlights the importance of incorporating genomics in the routine monitoring of malaria vector populations to identify the emergence of new resistance signatures and their geographic distribution and spread.
Inter-Patch Spatio-Temporal Relation Prediction for Video Anomaly Detection
Authors: Shen Hao , Shi Lu , Zhang Linna , Xu Wanru , Cen Yigang , An Gaoyun 
Published: November 2024

Abstract

Video Anomaly Detection (VAD), aiming to identify abnormalities within a specific context and timeframe, is crucial for intelligent Video Surveillance Systems. While recent deep learning-based VAD models have shown promising results by generating high-resolution frames, they often lack competence in preserving detailed spatial and temporal coherence in video frames. To tackle this issue, we propose a self-supervised learning approach for VAD through an inter-patch relationship prediction task. Specifically, we introduce a two-branch vision transformer network designed to capture deep visual features of video frames, which can address spatial and temporal dimensions responsible for modeling appearance and motion patterns, respectively. The inter-patch relationship in each dimension is decoupled into inter-patch similarity and the order information of each patch. To mitigate memory consumption, we convert the order information prediction task into a multi-label learning problem, and the inter-patch similarity prediction task into a inter-patch distance matrix regression problem. Comprehensive experiments demonstrate the effectiveness of our method, surpassing pixel-generation-based methods by a significant margin across three public benchmarks. Additionally, our approach outperforms other self-supervised learning-based methods.
Factors Contributing to Anxiety in Adolescents Surviving Thalassemia Major in Indonesia
Authors: Mediani Henny Suzana , Fuadah Novitasari Tsamrotul 
Published: November 2024

Abstract

Background
Thalassemia major leads to severe anaemia, necessitating lifelong blood transfusions. Inconsistencies in blood transfusions and iron chelation therapy result in physical changes that can cause psychological issues, with anxiety being the most prominent. This study aimed to examine the factors influencing anxiety levels among adolescent thalassemia major survivors.
Methods
The research utilized a quantitative approach with a correlational analytic design and cross-sectional method. It included a population of 122 adolescent survivors, all of whom were included using a total sampling technique. Data analysis involved univariate analysis by frequency distribution, bivariate analysis using the chi-square test, and multivariate analysis with logistic regression.
Results
The study findings revealed that 70.5% of adolescents experienced mild anxiety. Significant correlations were found between body image (p < 0.001), self-esteem, and coping mechanisms with anxiety levels, while social support was not significantly related. Body image emerged as the most influential factor, with poor body image increasing the likelihood of severe anxiety by 11.6 times.
Conclusions
Adolescents with Thalassemia major in West Java primarily exhibit mild anxiety. These findings highlight the necessity for comprehensive psychological support that addresses body image concerns and boosts self-esteem and coping skills to enhance the mental health of adolescent thalassemia major survivors.
Nocardioides piscium sp. nov. , an Epsilon-poly-L-lysine producing actinobacterium isolated from the fish intestine
Authors: Li Jiawei , Zhao Aolin , Yang Quan , Liu Haifei , Yang Lifang , Huang Ying , Wu Shujing , Jiang Mingguo 
Published: November 2024

Abstract

A Gram-positive, irregular short-stemmed, non-motile, non-acid-fast, non-spore-forming, aerobic actinomycete strain, designated GXZ039T, was isolated from the fish gut of grouper from the Beibu Gulf, Guangxi, China. Analysis of the growth state and conditions showed that colonies on medium 2216E for 5 days of incubation were light-white, rounded, glossy, smooth, raised, and opaque, diameter 1.0–2.0 mm. Strain growth conditions ranged from pH 6.0–10.0 (optimum pH 7.5), 4–40°C (optimum 30°C)and 0–10% NaCl (w/v) (optimum 3.5%). Chemical histological showed that the major menaquinone of strain GXZ039T was MK-8, with a small amount of MK-7. The main cellular fatty acids were iso-C16:0 (39.2%), C17:1ꞷ6c (11.59%) and anteiso-C15:0 (10.97%). The type of the cell wall peptidoglycan was LL-diaminoheptanedioic acid and the polar lipids consisted of phosphatidylglycerol (PG), diphosphatidylglycerol (DPG), an uncharacterised lipid (L) and two unknown phospholipids (PL1-2). Total cell sugars were xylose, arabinose, glucose and galactose. The DNA G + C ratio of the strain was 71.1 mol%. Sequence comparison of 16S rRNA genes showed that strain GXZ039T belonged to the genus Nocardioides and its close relatives were with Nocardioides plantarum NCIMB 12834T (98.03%),, Nocardioides dongxiaopingii S-1144T (97.54%) and Nocardioides litoris 002-2T(97.54%), respectively. Calculations showed that GXZ039T had ANI values of 77.12–85.13% and dDDH values of 21.6–27.7%. On the basis of phenotypic, chemical components and phylogenetic data, strain GXZ039T was defined as a novel species of the genus Nocardioides under the name Nocardioides piscium sp. nov. The strain type is GXZ039T (= MCCC 1K09118T = KCTC 59248T).