bluuebunny/crossref_metadata_2025_split huggingface dataset:
Degradation of organic pollutants by the Cl−/PMS process
Authors: Ye Miaomiao , Luo Ziyi , Jin Wen , Wang Xingyuan , Zhang Tuqiao , LIU XIAOWEI 
Published: March 2024

Abstract

The viewpoints on whether high concentration of chloride ion (Cl−) promote or inhibit the oxidation activity of activated persulfates are still inconclusive. Furthermore, the degradation of organic pollutants by the persulfates in the presence of high Cl− concentrations without any activation medium has not yet been studied. In this work, the efficiency and mechanism of degradation of organic pollutants such as carbamazepine (CBZ), sulfadiazine (SDZ) and phenol (PN) by Cl− activated PMS (denoted as Cl−/PMS) were investigated. Results showed that Cl− could effectively activate PMS for complete removal of CBZ, SDZ and PN with reaction kinetic constants of 0.4516 min− 1, 0.01753 min− 1 and 0.06805 min− 1, respectively. Parameters such as PMS dose, Cl− concentration, solution pH, and initial concentrations of organic pollutants that affecting the degradation efficiencies of the Cl−/PMS process were optimized. Unlike conventional activated persulfates, it was confirmed that the free chlorine was the main active species in the Cl−/PMS process. Finally, the degradation by-products of CBZ and SDZ as well as their toxicity were detected, and a possible degradation pathway for CBZ and SDZ were proposed. Though higher toxic chlorinated by-products were generated, the Cl−/PMS process was still an efficient oxidation method for the removal of organic pollutants in aqueous solutions which contains high concentration of Cl−.
Imputation Validation Mean Squared Error: a novel measurement to evaluate the performance of missing value imputation
Authors: Li Gongli , Islam Mohammad S , Luo Zhen 
Published: March 2024

Abstract
Missing value imputation is essential in data pre-processing for statistical model building and data mining. The problem with using a machine learning model to impute missing values is that it is hard to evaluate the performance of imputation and choose the optimal model and tuning parameters. Although many missing values imputation models have been proposed, the precise understanding of the imputation performance evaluation is missing in the literature. Therefore, this study aims to develop a new method named ‘imputation validation mean square error’ which would potentially improve the knowledge of the missing values imputation. The imputation validation dataset is obtained by randomly assigning some attributes as NA in the complete dataset according to the information on the percentage of missing values for each attribute and how often each combination of missing values occurs. This literature compares four imputation models (Clustering, KNN, PCA, and MCMC) for multivariate missing values imputation on the Pima Indian Diabetes dataset. The imputation validation MSE range is from 0 to 1. These four methods with imputation validation MSE equal to 0.1447, 0.1360, 0.1129, and 0.1312 are better than the mean (0.2270) and median (0.2306) imputation methods. The performance of different imputation models can be compared clearly based on this method.
Advancing Personal Well-Being Analysis through the Integration of Instance-Based Learning with Interpretable AI Techniques
Authors: Kamal Md Sarwar , Sultana Nasrin , Bewong Michael , Ip Ryan H.L. , Islam Md Zahidul , Rahman Azizur 
Published: March 2024

Abstract
Understanding factors that affect Personal Well-Being Index (PWI) is crucial for developing strategies that enhance quality of life at both individual and community levels. This research introduces a novel approach to PWI analysis by integrating Instance-Based Learning (IBL) with interpretable Artificial Intelligence (AI) methods. Utilizing IBL, the study creates tailored matrices for individual instances, enabling a dynamic and specific analysis of well-being factors. It leverages advanced AI techniques, notably the graph-based clustering and Locally Weighted Scatterplot Smoothing (LOWESS), to provide transparent and comprehensible insights. Key innovations include the use of sophisticated feature selection techniques like Random Forest (RF), and Permutation Importance (PI) to identify critical PWI indicators. The research also employs LOWESS for state-of-the-art prediction modeling, providing adaptable forecasts for future trends in PWI indicators. The application of graph-based clustering offers a comprehensive analysis of the current state of PWI, generating detailed scenarios and enhancing the understanding of well-being. This integrative methodology positions the study at the forefront of PWI research, offering new pathways for enhancing well-being in diverse settings.
Analysis of Reconfigurable Multi-passband Metasurface Filters Designed by Deep Neural Networks for 6G Applications
Authors: Jamshidiha Vahid , Abdipour Abdolali , Askarpour Amir Nader 
Published: March 2024

Abstract

This article proposes a comprehensive guide to simplify the design procedure a multi-layer double passband metasurface filter. An inverse design model is used to estimate the geometrical dimensions, and the filter is studied in 6G frequency bands. Generalized sheet transition boundary conditions (GSTCs) are used to explain the effects of various parameters on the frequency response and to determine resonance type in the reflection spectrum. The equivalent circuit method is explored to understand the filter functionality, and vanadium dioxide (VO2) is incorporated to adjust filter characteristics, enhance the bandwidth, and coverage of a new band in 6G.
Prevalence and factors associated with domestic accidents in children in the rural district of Orodara, Burkina Faso
Authors: Coulibaly Abou , Sogo Armel Emmanuel , Bara Anata , Wildhaber Barbara Elisabeth , Inglin Sophie 
Published: March 2024

Abstract
Background: In West Africa, domestic accidents are underestimated, and few scientific population-based studies have measured their prevalence. When data exist, they often address only one type of accident. This study aimed to measure the prevalence of domestic accidents in children aged 0-14 years and their determinants in the Orodara health district in Burkina Faso.
Methods: We conducted a cross-sectional study in the Orodara health district, Kénédougou Province, Burkina Faso. Our study population included children aged 0 to 14 years. We surveyed a fixed number of households in all 39 villages in the Orodara health district. The dependent variable was a domestic accident (yes or no). The independent variables were the household's and child's sociodemographic characteristics. Data were analyzed using Stata software version 17.0 and are presented in proportions. Determinants were identified using logistic regression with a threshold of 5%.
Results: We included 805 households, 1608 children, and 800 mothers. Considering our operational definition of domestic accidents, we recorded 99 domestic accidents (prevalence of 6.27%) in 1578 children. The determinants of domestic accidents were place of residence (7.4% for rural areas versus 2.5% for urban areas) with an adjusted odds ratio (OR)= 3.51 (1.52-8.09), p=0.003, and age, 1-10 years-old being the most common age (88%) with a peak of 44% in the age-group 1-5 years when domestic accidents occurred.
Conclusion: This study showed that domestic accidents are common in the Orodara health district of Burkina Faso and that accidents are significantly more seen in rural areas. These results suggest the need for awareness-raising campaigns to prevent these accidents in children.
Exploring In Vitro Inhibition of the Causal agent of Banana Xanthomonas Wilt by Medicinal Plant Extracts sourced from North Kivu province, Eastern Democratic Republic of Congo.
Authors: Mukeshambala Franchement , Ibanda Angele , Lassois Ludivine Ludivine , Semacumu Gakuru , Djailo Dhed’a , Nabahungu Leon , Blomme Guy , Monde Godefroid 
Published: March 2024

Abstract
Banana Wilt caused by Xanthomonas vasicola pv. musacearum (Xvm), has emerged as a significant threat to food security in eastern DR Congo (Kivu). Currently, the only means of combatting this biotic constraint is through best agricultural practices. The aim of this study was to evaluate the effectiveness of medicinal plants used in Kivu in inhibiting of Xvm. Three in vitro experiments were conducted at Uganda's National Agriculture Research Organization (NARO) laboratories and the International Institute of Tropical Agriculture (IITA) in Kivu. The bacterial samples were collected in banana cultivated in Kivu and isolated on Yeast Extract Peptone Agar (YPGA). Pure Xvm colonies were used for identification via Polymerase Chain Reaction (PCR) and greenhouse inoculation trials. A completely randomized design was used for the inhibition tests (1) on Mueller Hinton Agar (MHA) using disc diffusion with 10 extracts, (2) in liquid YPG Broth, and (3) on MHA using disc diffusion with 19 extracts. The first two trials used ten plant species extracts diluted in petroleum ether, while the third trial used 19 plant extracts diluted in methanol. After maceration, filtration, and solvent evaporation, 10mg of extract was diluted in 80 µl of distilled water + 10µl of Dimethylsulfoxide (DMSO). Ten µl of this solution was impregnated on perforated discs of Whatman filter paper. Zingiber officinale (ginger) and Ricinus communis (castor) were the most effective plant extracts in suppressing Xvm. Of the thirteen plant species identified as effective against the pathogen, the Myrtaceae and Euphorbiaceae families were the most represented.
V.parvula regulates JAK2-STAT3 to promote colorectal cancer
Authors: Bai Xuhao , Deng jiaxin , zhang jiawei , zhong qinghua , lin dezheng , hu jiancong , liao sen , li juan , he bingfeng , wang junhao , Su Mingli , Guo Xuefeng 
Published: March 2024

Abstract
Background: The dysregulation of the gut microbiota is associated with the occurrence and development of colorectal cancer. Several clinical studies have indicated that the abundance of Veillonella parvula in the intestines of colorectal cancer patients is higher than that in the normal population. The aim of this study is to explore the mechanisms through which Veillonella parvula promotes colorectal cancer.
Methods: Establish a colorectal cancer mouse model to assess the tumor-promoting effect of Veillonella parvula. Utilize RNA-seq, Western blot, and other techniques to examine the expression of relevant molecules. Furthermore, employ two human colorectal cancer cell lines in vitro to validate the relationship between complement C3 and the JAK2-STAT3 signaling pathway.
Results: In comparison to the control group, mice administered with Veillonella parvula exhibited an increased number and size of intestinal tumors. Furthermore, a significant enhancement in the expression of C3 and C3a receptor proteins was noted in the colorectal tissues of mice treated with Veillonella parvula. The results from in vitro experiments indicated that the addition of exogenous C3 in the culture of colorectal cancer cells activated the JAK2 - STAT3 signaling pathway. The activation was attenuated upon the introduction of the JAK2 inhibitor AG490.
Conclusion: Veillonella parvula enhances complement C3 expression in colonic tissue, activating the JAK2-STAT3 signaling pathway and promoting colorectal cancer development.
Foreign body granuloma after embolization of internal iliac artery using N-butyl-2-cyanoacrylate: a case report
Authors: Fumimoto Masaya , Kohno Shigeshi , Oka Shojiro , Someya Yuko , Ishikura Reiichi , Nakamura Ken , Yamashita Daisuke , Ueda Hiroyuki , Ando Kumiko 
Published: March 2024

Abstract
Background Foreign body granulomas following endovascular treatment rarely occur in the brain or cutaneous vascular tissues. To the best of our knowledge, no study to date has reported on foreign body granulomas in the abdomen after injection of N-butyl-2-cyanoacrylate (NBCA) into the large- and medium-size arteries. This study reports a case of foreign body granuloma that appeared 12 months after embolization of a right internal iliac artery aneurysm using NBCA, which posed challenges in differentiation from malignant tumors and aneurysm rupture.Case presentation A 77-year-old man underwent embolization of a right internal iliac artery aneurysm and open surgical repair of an abdominal aortic aneurysm. Contrast-enhanced computed tomography (CT) performed 12 months postoperatively revealed a right-sided retroperitoneal mass surrounding the iliopsoas muscle. The mass contained multiple, small, hyperdense areas, suggesting migration of the NBCA-lipiodol mixture casts from the embolized right iliac artery aneurysm. The differential diagnosis included foreign body granuloma, lymphoma, and sarcoma. Biopsy of the lesion revealed a granuloma with various stages of inflammation, no hemosiderin deposition, multinucleated giant cells, and foam cells containing fat, and was diagnosed with a foreign body granuloma. Special staining for microorganisms revealed no findings suggestive of infection. As the patient was asymptomatic, no treatment was administered. Contrast-enhanced CT at 24 months postoperatively showed shrinkage of the mass, with no change in size noted at 48 months postoperatively.Conclusions This report highlights a foreign body granuloma that mimicked malignant tumors and aneurysm rupture after embolization of a right internal iliac artery aneurysm. Extravascular migration of the NBCA-lipiodol mixture casts likely contributed to granuloma formation. Interventional radiologists should consider foreign body granulomas after embolization using NBCA into the large- and medium-size arteries.
LCP1 is a potential prognostic biomarker and correlates with immune infiltration in triple negative breast cancer
Authors: Pan Shuaikang , Wan Mengting , Jin Hongwei , Ning Ran , Zhang Jinguo , Han Xinghua 
Published: March 2024

Abstract
Objective
Triple-Negative Breast Cancer (TNBC), known for its aggressiveness and treatment challenges due to the absence of ER, PR, and HER2 receptors, is the focus of this study. The research emphasizes the need for new biomarkers like LCP1 (Lymphocyte cytosolic protein 1), which plays a crucial role in cell processes and immune cell activity, to predict outcomes and guide treatments in TNBC.
Methods
We explored LCP1's potential as a prognostic biomarker in TNBC, analyzing its mRNA and protein expression levels and their correlation with immune cell infiltration. This involved data from GTEx and TCGA, immunohistochemistry on TNBC and benign tumor samples, and statistical analyses to examine LCP1's relationship with patient clinical characteristics and macrophage markers. We also assessed survival rates, immune cell infiltration, and drug sensitivity related to LCP1 using various bioinformatics tools.
Results
The results indicated that LCP1 expression was significantly higher in TNBC tissues compared to adjacent normal tissues. However, high expression of LCP1 was significantly associated with favorable survival outcomes in patients with TNBC. Enrichment analysis revealed that genes co-expressed with LCP1 were significantly enriched in various immune processes. LCP1 showed a positive correlation with the infiltration of resting dendritic cells, M1 macrophages, and memory CD4 T cells, and a negative correlation with M2 macrophages. Further analysis suggested a link between high levels of LCP1 and increased survival outcomes in cancer patients receiving immunotherapy.
Conclusion
LCP1 shows promise as a diagnostic and prognostic biomarker for improving TNBC treatment strategies.
Cost-benefit analysis of serological and nucleic acid testing for hepatitis B virus in blood donors in southern China
Authors: Ye Xianlin , Xiong Wen , Xu Xiaoxuan , Zeng Jinfeng , Xie He , Li Bin , He Baoren , Chen Limin , Mo Qiuhong 
Published: March 2024

Abstract

Background
Most Chinese blood centers have implemented mini pool (MP) HBV nucleic acid testing (NAT) together with HBsAg ELISA in routine blood donor screening for HBV infection since 2015, and a few centers upgraded MP to individual donation (ID) NAT screening recently, raising urgent need for cost-benefit analysis of different screening strategies. In an effort to prevent transfusion-transmitted infections (TTIs) for HBV, cost-benefit analyses of three different screening strategies: HBsAg alone, HBsAg plus MP NAT and HBsAg plus ID NAT were performed in blood donors from southern China where HBV infection was endemic.
Methods
MP-6 HBV NAT and ID NAT were adopted in parallel to screen blood donors for further comparative analysis. On the basis of screening data and the documented parameters, the number of window period (WP) infection, HBV acute infection, chronic hepatitis B infection (CHB) and occult hepatitis B infection (OBI) was evaluated, and the potential prevented HBV TTIs and benefits of these three strategies were predicted based on cost-benefit analysis by an estimation model.
Results
Of 132,323 donations, the yield rate for HBsAg-/DNA + screened by ID NAT (0.12%) was significantly higher than that by MP NAT (0.058%, P < 0.05). Furthermore, the predicted preventing transfusion transmitted HBV cases was 1.30 times more by ID NAT compared to MP-6 NAT. The cost-benefit ratio of the universal HBsAg screening, HBsAg plus MP NAT and HBsAg plus ID NAT were 1:59.9, 1:28.9 and 1:47.3, respectively.
Conclusions
Universal HBsAg ELISA screening in combination with HBV ID NAT or MP-6 NAT strategies was highly cost effective in China. To further improve blood safety, HBsAg plus HBV DNA ID NAT screening should be considered in HBV endemic regions/countries.
Sex dimorphism of IL-17-secreting peripheral blood mononuclear cells in ankylosing spondylitis based on bioinformatics analysis and machine learning
Authors: Li Sifang , Chao Hua , Li Zihao , Chen Siwen , Zhang Jingyu , Hao Wenjun , Zhang Shuai , Liu Caijun , Liu Hui 
Published: March 2024

Abstract
Background
Ankylosing spondylitis (AS) with radiographic damage is more prevalent in men than in women. IL-17, which is mainly secreted from peripheral blood mononuclear cells (PBMCs), plays an important role in the development of AS. Its expression is different between male and female. However, it is still unclear whether sex dimorphism of IL-17 contribute to sex differences in AS.
Methods
GSE221786, GSE73754, GSE25101, GSE181364 and GSE205812 datasets were collected from the Gene Expression Omnibus (GEO) database. Differential expressed genes (DEGs) were analyzed with the Gene Set Enrichment Analysis (GSEA), Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) methods. CIBERSORTx and EcoTyper algorithms were used for immune infiltration analyses. Machine learning based on the XGBoost algorithm model was used to identify the impact of DEGs. The Connectivity Map (CMAP) database was used as a drug discovery tool for exploring potential drugs based on the DEGs.
Results
According to immune infiltration analyses, mast cells accounted for the largest proportion of IL-17-secreting PBMCs, and KEGG analyses suggested an enhanced activation of mast cells among male AS patients, whereas the expression of TNF was higher in female AS patients. Other signaling pathways, including those involving metastasis-associated 1 family member 3 (MAT3) or proteasome, were found to be more activated in male AS patients. Regarding metabolic patterns, oxidative phosphorylation pathways and lipid oxidation were significantly upregulated in male AS patients. In XGBoost algorithm model, DEGs including METRN and TMC4 played important roles in the disease process. we integrated the CMAP database for systematic analyses of polypharmacology and drug repurposing, which indicated that atorvastatin, famciclocir, ATN-161 and taselisib may be applicable to the treatment of AS
Conclusions
We analyzed the sex dimorphism of IL-17-secreting PBMCs in AS. The results showed that mast cell activation was stronger in males, while the expression of TNF was higher in females. In addition, through machine learning and the CMAP database, we found that genes such as METRN and TMC4 may promote the development of AS, and drugs such as atorvastatin potentially could be used for AS treatment.
Anterior subcutaneous internal fixator (INFIX) versus plate fixation for anterior ring injury in Tile C pelvic fractures: A retrospective study
Authors: Huang Shenbo , He Shuai , Kenmegne Guy Romeo , Yin YiJie , Yu You , Fang Yue 
Published: March 2024

Abstract
Objectives
The purpose of this study was to compare the reduction effect and clinical outcomes of anterior subcutaneous internal fixation (INFIX) and steel plate-screw internal fixation in the treatment of anterior ring injury in Tile C pelvic fractures.
Methods
In this retrospective study, we Compared 46 patients treated using INFIX to 44 patients treated with steel plate and screw internal fixation. All patients underwent anterior and posterior fixation. The Matta imaging scoring system was used to evaluate the postoperative reduction accuracy; the Majeed scoring system was applied to obtain functional outcomes in clinical follow-up. All potential complications were identified and evaluated accordingly.
Results.
Both groups of patients were followed up for a period of 13–36 months, with an average of 27 months. The procedure time and blood loss in the INFIX group were significantly lower than those in the plate group(t = − 2.327, P = 0.023;t = − 4.053, P = 0.000; there was no statistically significant difference in the Majeed score and Matta score between the two groups after surgery (P > 0.05)
Conclusions
INFIX treatment for anterior ring injury in Tile C pelvic fractures can achieve good therapeutic effects. Compared to internal fixation with plates and screws, it has advantages such as shorter surgical time and less blood loss. INFIX may be more suitable for obese patients, young women of childbearing age, or patients with urinary system injuries.