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Article ; Online: Property of Modified Bovine Bone Glue as an Environmental Additive in Water-Based Drilling Fluids.

Du, Weichao / Song, Bingqian / Huang, Xianbin / Chen, Gang

ACS omega

2024 Volume 9, Issue 14, Page(s) 16792–16799

Abstract: At present, animal bone glue (BG) is being widely used in many fields, but there are no studies reported on oilfield chemistry. In this paper, an environmental water-based drilling fluids additive named bromoethane-modified bone glue (BG) was developed ... ...

Abstract	At present, animal bone glue (BG) is being widely used in many fields, but there are no studies reported on oilfield chemistry. In this paper, an environmental water-based drilling fluids additive named bromoethane-modified bone glue (BG) was developed by using bovine bone glue and bromoethane as raw materials, anhydrous ethanol as solvent, sodium hydroxide as alkaline hydrolysis agent, and sodium carbonate as a system pH regulator. The inhibition, filtration performance, and temperature resistance of BG were evaluated. Performance study results show that the linear swelling rate of sodium bentonite (Na-MMT) was decreased from 50.2% (in tap water) to 38.2% (in 4 wt % BG solutions), and filtration loss was reduced from 30 mL (in tap water) to 12 mL (in 5 wt % BG). Hot-rolling experiments show that the BG solution still exhibits good performance even after 16 h × 130 °C. The reasons for BG to achieve excellent performance were analyzed through scanning electron microscopy (SEM), Fourier transform infrared (FT-IR) spectroscopy, X-ray diffraction (XRD), ζ potential, thermogravimetric analysis (TGA), and microstructure. The results of SEM and FT-IR show that BG can fully dissolve in water and adsorb on the surface of clay particles by relying on its own adsorption functional groups such as -OH and -COOH. When 4% BG was added, ζ potential analysis revealed that the clay particle size declined by 0.502 μm, which indicated that BG can inhibit clay hydration swelling dispersion.
Language	English
Publishing date	2024-03-25
Publishing country	United States
Document type	Journal Article
ISSN	2470-1343
ISSN (online)	2470-1343
DOI	10.1021/acsomega.4c01000
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Association of self-reported snoring and hyperuricaemia

Ting Chen / Liling Chen / Xianbin Ding / Wenge Tang / Deqiang Mao / Lingling Song / Xuemei Lian

BMJ Open, Vol 12, Iss

a large cross-sectional study in Chongqing, China

2022 Volume 4

Keywords	Medicine ; R
Language	English
Publishing date	2022-04-01T00:00:00Z
Publisher	BMJ Publishing Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: [Corrigendum] Genistein exerts growth inhibition on human osteosarcoma MG-63 cells via PPARγ pathway.

Song, Mingzhi / Tian, Xiliang / Lu, Ming / Zhang, Xianbin / Ma, Kai / Lv, Zhichao / Wang, Zhenxing / Hu, Yang / Xun, Chong / Zhang, Zhen / Wang, Shouyu

International journal of oncology

2024 Volume 64, Issue 5

Abstract: Subsequently to the publication of the above article, an interested reader drew to the authors' attention that, in Fig. 1D on p. 1134, the data panels showing the results for the 'Control' and '1 μmol/l GW9662' experiments (on the left hand side of the ... ...

Abstract	Subsequently to the publication of the above article, an interested reader drew to the authors' attention that, in Fig. 1D on p. 1134, the data panels showing the results for the 'Control' and '1 μmol/l GW9662' experiments (on the left hand side of the figure) were overlapping, such that these data had been derived from the same original source where they were intended to show the results from differently performed experiments. The authors were able to re‑examine their original data, and realize that the data for the '1 μmol/l GW9662' panel had been selected incorrectly. The corrected version of Fig. 1, now featuring the correct data for the '1 μmol/l GW9662' experiment in Fig. 1D, is shown on the next page, The authors confirm their error did not grossly affect either the results of the conclusions reported in the paper, and are grateful to the Editor of
Language	English
Publishing date	2024-03-15
Publishing country	Greece
Document type	Published Erratum
ZDB-ID	1154403-x
ISSN	1791-2423 ; 1019-6439
ISSN (online)	1791-2423
ISSN	1019-6439
DOI	10.3892/ijo.2024.5635
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Article ; Online: Effect of Intracapsular Pressure on Decompression Effectiveness.

Xiong, Xianbin / Li, Changshun / Guo, Li / Wu, Yuanyuan / Wang, Yi / Song, Xiaomeng

International dental journal

2022 Volume 72, Issue 6, Page(s) 839–846

Abstract: Aim: The objective of this research was to analyse the correlation between intracapsular pressure and shrinkage rate of cystic lesion volume at different time points after decompression and to evaluate the relationship between the concentration of ... ...

Abstract	Aim: The objective of this research was to analyse the correlation between intracapsular pressure and shrinkage rate of cystic lesion volume at different time points after decompression and to evaluate the relationship between the concentration of interleukin-1α (IL-1α) in cystic fluid and intracapsular pressure. Methods: Fifty patients with jaw cystic lesions who underwent decompression were included. We measured the intracapsular pressure and IL-1α concentration in the cyst fluid. Moreover, we calculated the rate of shrinkage (RS) of cystic cavity volume at different time points. In addition, data on age, sex, preoperative cystic cavity volume, and lesion location were collected. Linear correlation analysis and variance analysis were used for statistical analysis. Results: Fastest volume decline was observed between 0 and 3 months after surgery; the average RS Conclusions: Intracapsular pressure and the preoperative volume were the factors that affected the RS during the first 3 months after surgery. Therefore, the effectiveness of decompression can be evaluated by the intracapsular pressure and preoperative volume.
MeSH term(s)	Humans ; Decompression, Surgical ; Treatment Outcome ; Jaw Cysts/surgery
Language	English
Publishing date	2022-08-30
Publishing country	England
Document type	Journal Article
ZDB-ID	218262-2
ISSN	1875-595X ; 0020-6539
ISSN (online)	1875-595X
ISSN	0020-6539
DOI	10.1016/j.identj.2022.06.023
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Article ; Online: Analysis of the clinical characteristics of 202 patients with liver abscess associated with diabetes mellitus and biliary tract disease.

Song, Huiwen / Wang, Xianbin / Lian, Yubao / Wan, Tuer

The Journal of international medical research

2020 Volume 48, Issue 8, Page(s) 300060520949404

Abstract: Objective: Clinical characteristics of patients with pyogenic liver abscess (PLA) of varying etiologies may be different. This study aimed to analyze the clinical characteristics, pathogenic bacteria, treatment, and prognosis of patients with PLA ... ...

Abstract	Objective: Clinical characteristics of patients with pyogenic liver abscess (PLA) of varying etiologies may be different. This study aimed to analyze the clinical characteristics, pathogenic bacteria, treatment, and prognosis of patients with PLA associated with diabetes and biliary disease. Methods: Clinical, imaging, and laboratory data from 202 inpatients with PLA were retrospectively analyzed. Results: Eighty-eight patients (43.6%) had a history of diabetes, 73 (36.1%) had a history of underlying biliary tract disease, and 24 (11.9%) had both the diseases. The level of C-reactive protein (CRP) increased in 99.2% (119/120) patients, and the level of procalcitonin (PCT) increased in 95.5% (148/155) patients. The main pathogen of PLA was Conclusion: The main pathogen of PLA is
MeSH term(s)	Biliary Tract Diseases/complications ; Biliary Tract Diseases/diagnosis ; Diabetes Mellitus ; Humans ; Klebsiella Infections/complications ; Klebsiella Infections/diagnosis ; Klebsiella Infections/drug therapy ; Klebsiella pneumoniae ; Liver Abscess, Pyogenic/complications ; Liver Abscess, Pyogenic/diagnosis ; Retrospective Studies
Language	English
Publishing date	2020-08-31
Publishing country	England
Document type	Journal Article
ZDB-ID	184023-x
ISSN	1473-2300 ; 0300-0605 ; 0142-2596
ISSN (online)	1473-2300
ISSN	0300-0605 ; 0142-2596
DOI	10.1177/0300060520949404
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Article ; Online: XGBoost-Based Feature Learning Method for Mining COVID-19 Novel Diagnostic Markers

Xianbin Song / Jiangang Zhu / Xiaoli Tan / Wenlong Yu / Qianqian Wang / Dongfeng Shen / Wenyu Chen

Frontiers in Public Health, Vol

2022 Volume 10

Abstract: In December 2019, an outbreak of novel coronavirus pneumonia spread over Wuhan, Hubei Province, China, which then developed into a significant global health public event, giving rise to substantial economic losses. We downloaded throat swab expression ... ...

Abstract	In December 2019, an outbreak of novel coronavirus pneumonia spread over Wuhan, Hubei Province, China, which then developed into a significant global health public event, giving rise to substantial economic losses. We downloaded throat swab expression profiling data of COVID-19 positive and negative patients from the Gene Expression Omnibus (GEO) database to mine novel diagnostic biomarkers. XGBoost was used to construct the model and select feature genes. Subsequently, we constructed COVID-19 classifiers such as MARS, KNN, SVM, MIL, and RF using machine learning methods. We selected the KNN classifier with the optimal MCC value from these classifiers using the IFS method to identify 24 feature genes. Finally, we used principal component analysis to classify the samples and found that the 24 feature genes could effectively be used to classify COVID-19-positive and negative patients. Additionally, we analyzed the possible biological functions and signaling pathways in which the 24 feature genes were involved by GO and KEGG enrichment analyses. The results demonstrated that these feature genes were primarily enriched in biological functions such as viral transcription and viral gene expression and pathways such as Coronavirus disease-COVID-19. In summary, the 24 feature genes we identified were highly effective in classifying COVID-19 positive and negative patients, which could serve as novel markers for COVID-19.
Keywords	COVID-19 ; diagnostic markers ; XGBoost ; machine learning ; principal component analysis ; Public aspects of medicine ; RA1-1270
Subject code	004
Language	English
Publishing date	2022-06-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: XGBoost-Based Feature Learning Method for Mining COVID-19 Novel Diagnostic Markers.

Song, Xianbin / Zhu, Jiangang / Tan, Xiaoli / Yu, Wenlong / Wang, Qianqian / Shen, Dongfeng / Chen, Wenyu

Frontiers in public health

2022 Volume 10, Page(s) 926069

Abstract	In December 2019, an outbreak of novel coronavirus pneumonia spread over Wuhan, Hubei Province, China, which then developed into a significant global health public event, giving rise to substantial economic losses. We downloaded throat swab expression profiling data of COVID-19 positive and negative patients from the Gene Expression Omnibus (GEO) database to mine novel diagnostic biomarkers. XGBoost was used to construct the model and select feature genes. Subsequently, we constructed COVID-19 classifiers such as MARS, KNN, SVM, MIL, and RF using machine learning methods. We selected the KNN classifier with the optimal MCC value from these classifiers using the IFS method to identify 24 feature genes. Finally, we used principal component analysis to classify the samples and found that the 24 feature genes could effectively be used to classify COVID-19-positive and negative patients. Additionally, we analyzed the possible biological functions and signaling pathways in which the 24 feature genes were involved by GO and KEGG enrichment analyses. The results demonstrated that these feature genes were primarily enriched in biological functions such as viral transcription and viral gene expression and pathways such as Coronavirus disease-COVID-19. In summary, the 24 feature genes we identified were highly effective in classifying COVID-19 positive and negative patients, which could serve as novel markers for COVID-19.
MeSH term(s)	Biomarkers ; COVID-19/diagnosis ; Humans ; Machine Learning ; Pneumonia ; SARS-CoV-2/genetics
Chemical Substances	Biomarkers
Language	English
Publishing date	2022-06-22
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2711781-9
ISSN	2296-2565 ; 2296-2565
ISSN (online)	2296-2565
ISSN	2296-2565
DOI	10.3389/fpubh.2022.926069
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Prognostic Signature of Osteosarcoma Based on 14 Autophagy-Related Genes.

Qi, Wei / Yan, Qian / Lv, Ming / Song, Delei / Wang, Xianbin / Tian, Kangsong

Pathology oncology research : POR

2021 Volume 27, Page(s) 1609782

Abstract: Background: ...

Abstract	Background:
MeSH term(s)	Adolescent ; Autophagy-Related Proteins/genetics ; Autophagy-Related Proteins/metabolism ; Biomarkers, Tumor/genetics ; Biomarkers, Tumor/metabolism ; Bone Neoplasms/genetics ; Bone Neoplasms/mortality ; Bone Neoplasms/pathology ; Female ; Follow-Up Studies ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Humans ; Male ; Nomograms ; Osteosarcoma/genetics ; Osteosarcoma/mortality ; Osteosarcoma/pathology ; Prognosis ; Risk Factors ; Survival Rate ; Transcriptome
Chemical Substances	Autophagy-Related Proteins ; Biomarkers, Tumor
Language	English
Publishing date	2021-07-16
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	1375979-6
ISSN	1532-2807 ; 1219-4956
ISSN (online)	1532-2807
ISSN	1219-4956
DOI	10.3389/pore.2021.1609782
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Article: [Relationship between albumin supply and prognosis in mechanically ventilated patients: a retrospective analysis].

Wang, Haibo / Song, Xianbin / Qian, Jiadong / Shi, Yunchao

Zhonghua wei zhong bing ji jiu yi xue

2020 Volume 31, Issue 12, Page(s) 1517–1520

Abstract: Objective: To investigate the relationship between enteral nutrient albumin supply and prognosis in patients with mechanical ventilation.: Methods: The clinical data of 418 mechanically ventilated patients receiving enteral nutrition support ... ...

Abstract	Objective: To investigate the relationship between enteral nutrient albumin supply and prognosis in patients with mechanical ventilation. Methods: The clinical data of 418 mechanically ventilated patients receiving enteral nutrition support treatment in intensive care unit (ICU) of the First Hospital of Jiaxing from January 2016 to June 2019 were retrospectively analyzed. According to whether the daily albumin supply was up to standard, the patients were divided into the standard group (albumin supply was ≥ 1.2 g×kg Results: A total of 418 patients were included, including 225 in the standard group and 193 in the non-standard group. There were no significant differences in gender, age and disease composition between the two groups, and the baseline data were comparable. There was no significant difference in daily calories between the standard group and the non-standard group (kJ/d: 119.73±31.55 vs. 110.05±28.98, P > 0.05), but the daily albumin supply of the standard group was significantly higher than that of the non-qualified group (g×kg Conclusions: Under the condition of standard enteral nutritional calories, increased of the albumin supply can improve the clinical nutritional status of patients with mechanical ventilation, shorten mechanical ventilation time and hospital stay.
MeSH term(s)	Albumins/metabolism ; Enteral Nutrition ; Humans ; Intensive Care Units ; Prognosis ; Prospective Studies ; Respiration, Artificial ; Retrospective Studies
Chemical Substances	Albumins
Language	Chinese
Publishing date	2020-02-06
Publishing country	China
Document type	Journal Article
ISSN	2095-4352
ISSN	2095-4352
DOI	10.3760/cma.j.issn.2095-4352.2019.12.016
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Article ; Online: Association of self-reported snoring and hyperuricaemia: a large cross-sectional study in Chongqing, China.

Chen, Ting / Ding, Xianbin / Tang, Wenge / Chen, Liling / Mao, Deqiang / Song, Lingling / Lian, Xuemei

BMJ open

2022 Volume 12, Issue 4, Page(s) e056143

Abstract: Objective: To examine the relationship between self-reported snoring and hyperuricaemia in a large-scale population in Chongqing, China.: Setting: Face-to-face electronic questionnaire survey, physical examination and biological sample testing were ... ...

Abstract	Objective: To examine the relationship between self-reported snoring and hyperuricaemia in a large-scale population in Chongqing, China. Setting: Face-to-face electronic questionnaire survey, physical examination and biological sample testing were conducted in 13 districts of Chongqing. Chongqing is a municipality in southwest China. Participants: In this study, 23 308 Han ethnicity permanent residents aged 30-79 years were recruited. Individuals missing data were excluded, 22 389 subjects were included in final analysis. Primary and secondary outcome measures: Serum uric acid (UA) was measured using an oxidase method. Hyperuricaemia was defined as serum UA >420 µmol/L in men and >360 µmol/L in women. Information about self-reported snoring was obtained by questionnaire survey. All participants were divided into 'no snoring' 'snoring occasionally' and 'snoring frequently'. Multivariable logistic regression analysis was performed to assess the relationship between self-reported snoring and hyperuricaemia. Results: The prevalence of hyperuricaemia was 14.43%, and snorers were more likely to have hyperuricaemia than non-snorer in different age and gender groups. For the total population, those who snore occasionally or frequently were more likely to be hyperuricaemia (OR 1.19, 95% CI 1.07 to 1.31; OR 1.33, 95% CI 1.19 to 1.47) compared with no snoring people. Stratification by age, gender and body mass index (BMI), we found that the positive association between snoring frequently and hyperuricaemia was insisted in different age, gender and high BMI groups, and the strength of association varied with different age, gender and BMI category. Conclusion: Snoring frequency was positively associated with higher risk of hyperuricaemia. Snoring frequently may be a signal for hyperuricaemia, especially for women, those over 59 years of age, or those who are overweight or obese.
MeSH term(s)	Adult ; Aged ; China/epidemiology ; Cross-Sectional Studies ; Female ; Humans ; Hyperuricemia/complications ; Hyperuricemia/epidemiology ; Male ; Middle Aged ; Self Report ; Snoring/epidemiology ; Uric Acid
Chemical Substances	Uric Acid (268B43MJ25)
Language	English
Publishing date	2022-04-01
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2599832-8
ISSN	2044-6055 ; 2044-6055
ISSN (online)	2044-6055
ISSN	2044-6055
DOI	10.1136/bmjopen-2021-056143
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