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Fulltext A novel group decision making method based on CoCoSo and interval-valued Q-rung orthopair fuzzy sets

Zheng Y, Qin H, Ma X

Sci Rep, 2024 Mar 19;14(1):6562.
PMID: 38503822 DOI: 10.1038/s41598-024-56922-5

Interval-valued q-rung orthopair fuzzy set (IVq-ROFS) is a powerful tool for dealing with uncertainty. In this paper, we first propose a new method for aggregating multiple IVq-ROFSs, which is easier to understand and implement in the multi-attribute group decision making process compared to current aggregation operators. Secondly, this paper introduces a new fuzzy entropy with parameters based on IVq-ROFS, which is highly flexible due to its adjustable parameters. Based on this, the IVq-ROFS-based attribute weight calculation method is proposed to obtain the objective weights of the attributes, which is more reasonable and objective than the existing methods. Then, for the dimensional differences between the three compromise scores in the original Combined Compromise Solution (CoCoSo) method, the enhanced compromise scores are proposed. These scores are obtained by normalizing the three dependent compromise scores, ensuring that they fall within the same range. Finally, a novel CoCoSo mothed on IVq-ROFS using the proposed fuzzy entropy and enhanced compromise scores is presented. The proposed method is highly adaptable and scalable, not limited to IVq-ROFS. The excellent performance and robustness of the proposed method are verified in sepsis diagnosis applications.
Fulltext VSHR: A Mathematical Model for the Prediction of Second-Wave COVID-19 Epidemics in Malaysia

Yu X, Lu L, Guo J, Qin H, Ji C

Comput Math Methods Med, 2022;2022:4168619.
PMID: 35087601 DOI: 10.1155/2022/4168619

Since December 2019, a novel coronavirus (COVID-19) has spread all over the world, causing unpredictable economic losses and public fear. Although vaccines against this virus have been developed and administered for months, many countries still suffer from secondary COVID-19 infections, including the United Kingdom, France, and Malaysia. Observations of COVID-19 infections in the United Kingdom and France and their governance measures showed a certain number of similarities. A further investigation of these countries' COVID-19 transmission patterns suggested that when a turning point appeared, the values of their stringency indices per population density (PSI) were nearly proportional to their absolute infection rate (AIR). To justify our assumptions, we developed a mathematical model named VSHR to predict the COVID-19 turning point for Malaysia. VSHR was first trained on 30-day infection records prior to the United Kingdom, Germany, France, and Belgium's known turning points. It was then transferred to Malaysian COVID-19 data to predict this nation's turning point. Given the estimated AIR parameter values in 5 days, we were now able to locate the turning point's appearance on June 2nd, 2021. VSHR offered two improvements: (1) gathered countries into groups based on their SI patterns and (2) generated a model to identify the turning point for a target country within 5 days with 90% CI. Our research on COVID-19's turning point for a country is beneficial for governments and clinical systems against future COVID-19 infections.
Fulltext Diagnosis of Genus Helicobacter through a hemi-nested PCR assay of 16S rRNA

Qin H, Tang G, Yi P, Pan X, Huang H, Chang R, et al.

Saudi Pharm J, 2016 May;24(3):265-72.
PMID: 27275113 DOI: 10.1016/j.jsps.2016.04.015

The present study aimed to establish a genus-specific PCR-based assay to detect helicobacters using 16S rRNA gene as the target template. We designed the hemi-nested primers based on sequences of 16S rRNA gene of 34 types of Helicobacter species. The inclusivity, sensitivity, and specificity of the PCR assay using these primers were examined in three different models, comprising feces simulated samples, BLAB/c mice infection model and clinic patients samples. The detection sensitivity of Helicobacter pylori, Helicobacter hepaticus and Helicobacter bilis strains from feces simulated samples was all 102 CFU/ml. We successfully detected H. hepaticus and H. bilis in the liver, cecum and feces of experimentally infected mice. H. pylori was successfully detected in the feces samples from 3 patients infected with H. pylori while not in the feces samples from 3 healthy human. However, the C97/C05-C97/C98 PCR assay detected H. pylori in the 2 positive samples. Due to the PCR assay's excellent inclusivity, high sensitivity and specificity it may be used to detect the presence of Helicobacters.
Effects of R-salbutamol on the inflammatory response and acute lung injury in endotoxemic mice

Beng H, Hu J, Wang S, Liang X, Qin H, Tan W

Int Immunopharmacol, 2023 Aug;121:110482.
PMID: 37364330 DOI: 10.1016/j.intimp.2023.110482

Salbutamol, which consists of an R-isomer and S-isomer, is an effective and widely used β2 adrenoreceptor agonist that may possess anti-inflammatory properties in addition to its bronchodilator activity. Whether the salbutamol R-isomer has advantages over its racemic mixture and effectiveness in treating endotoxemia and endotoxin-induced lung injury has not been well studied. In this study, we investigated the preventive and therapeutic effects of R-salbutamol (R-sal), S-salbutamol (S-sal), and their racemic mixture (Rac-sal) on a mouse model of lipopolysaccharide (LPS)-induced endotoxemia. Dexamethasone (Dex) was used for comparison. The results showed that R-sal markedly improved the 7-day survival rate of endotoxic mice when administered before and after LPS treatment. Dex was toxic and accelerated the death of endotoxic mice when administered before LPS injection. Histological examination of the lungs revealed that the LPS challenge resulted in acute lung damage, including inflammatory cell infiltration, thickened alveolar septa, and congestion. R-sal pre-treatment effectively inhibited these changes, accompanied by markedly reduced lung myeloperoxidase levels, serum cytokine levels, and lactate release, significant restoration of lymphocyte count, and reduction of monocyte count. This may have occurred through inhibition of M1 macrophage inflammatory responses by enhancement of β-arrestin2 expression and suppression of NF-κB activation. Rac-sal exhibited diminished effects compared to that of R-sal, while S-sal showed enhanced release of some inflammatory cytokines. In addition, R-sal pre-treatment showed a better improvement in prognostic pulmonary function on day 4 compared to that by Rac-sal. Collectively, our results indicate the potential benefits of R-sal in regulating inflammatory responses to endotoxemia and endotoxin-induced lung injury.
Identifying a Long QTL Cluster Across chrLG18 Associated with Salt Tolerance in Tilapia Using GWAS and QTL-seq

Jiang DL, Gu XH, Li BJ, Zhu ZX, Qin H, Meng ZN, et al.

Mar Biotechnol (NY), 2019 Apr;21(2):250-261.
PMID: 30737627 DOI: 10.1007/s10126-019-09877-y

Understanding the genetic mechanism of osmoregulation is important for the improvement of salt tolerance in tilapia. In our previous study, we have identified a major quantitative trait locus (QTL) region located at 23.0 Mb of chrLG18 in a Nile tilapia line by QTL-seq. However, the conservation of these QTLs in other tilapia populations or species is not clear. In this study, we successfully investigated the QTLs associated with salt tolerance in a mass cross population from the GIFT line of Nile tilapia (Oreochromis niloticus) using a ddRAD-seq-based genome-wide association study (GWAS) and in a full-sib family from the Malaysia red tilapia strain (Oreochromis spp) using QTL-seq. Our study confirmed the major QTL interval that is located at nearly 23.0 Mb of chrLG18 in Nile tilapia and revealed a long QTL cluster across chrLG18 controlling for the salt-tolerant trait in both red tilapia and Nile tilapia. This is the first GWAS analysis on salt tolerance in tilapia. Our finding provides important insights into the genetic architecture of salinity tolerance in tilapia and supplies a basis for fine mapping QTLs, marker-assisted selection, and further detailed functional analysis of the underlying genes for salt tolerance in tilapia.
Fulltext Application of Band-Selective HSQC NMR in Species Discrimination and Adulteration Identification of Panax Linn

Guo C, Dong J, Deng L, Cheng K, Xu Y, Zhu H, et al.

Molecules, 2023 May 25;28(11).
PMID: 37298809 DOI: 10.3390/molecules28114332

The quality of Panax Linn products available in the market is threatened by adulteration with different Panax species, such as Panax quinquefolium (PQ), Panax ginseng (PG), and Panax notoginseng (PN). In this paper, we established a 2D band-selective heteronuclear single quantum coherence (bs-HSQC) NMR method to discriminate species and detect adulteration of Panax Linn. The method involves selective excitation of the anomeric carbon resonance region of saponins and non-uniform sampling (NUS) to obtain high-resolution spectra in less than 10 min. The combined strategy overcomes the signal overlap limitation in 1H NMR and the long acquisition time in traditional HSQC. The present results showed that twelve well-separated resonance peaks can be assigned in the bs-HSQC spectra, which are of high resolution, good repeatability, and precision. Notably, the identification accuracy of species was found to be 100% for all tests conducted in the present study. Furthermore, in combination with multivariate statistical methods, the proposed method can effectively determine the composition proportion of adulterants (from 10% to 90%). Based on the PLS-DA models, the identification accuracy was greater than 80% when composition proportion of adulterants was 10%. Thus, the proposed method may provide a fast, practical, and effective analysis technique for food quality control or authenticity identification.
Epidemiology, Management, and Outcomes of Sepsis in ICUs among Countries of Differing National Wealth across Asia

Li A, Ling L, Qin H, Arabi YM, Myatra SN, Egi M, et al.

Am J Respir Crit Care Med, 2022 Nov 01;206(9):1107-1116.
PMID: 35763381 DOI: 10.1164/rccm.202112-2743OC

Rationale: Directly comparative data on sepsis epidemiology and sepsis bundle implementation in countries of differing national wealth remain sparse. Objectives: To evaluate across countries/regions of differing income status in Asia 1) the prevalence, causes, and outcomes of sepsis as a reason for ICU admission and 2) sepsis bundle (antibiotic administration, blood culture, and lactate measurement) compliance and its association with hospital mortality. Methods: A prospective point prevalence study was conducted among 386 adult ICUs from 22 Asian countries/regions. Adult ICU participants admitted for sepsis on four separate days (representing the seasons of 2019) were recruited. Measurements and Main Results: The overall prevalence of sepsis in ICUs was 22.4% (20.9%, 24.5%, and 21.3% in low-income countries/regions [LICs]/lower middle-income countries/regions [LMICs], upper middle-income countries/regions, and high-income countries/regions [HICs], respectively; P
Prognostic evaluation of quick sequential organ failure assessment score in ICU patients with sepsis across different income settings

Li A, Ling L, Qin H, Arabi YM, Myatra SN, Egi M, et al.

Crit Care, 2024 Jan 23;28(1):30.
PMID: 38263076 DOI: 10.1186/s13054-024-04804-7

BACKGROUND: There is conflicting evidence on association between quick sequential organ failure assessment (qSOFA) and sepsis mortality in ICU patients. The primary aim of this study was to determine the association between qSOFA and 28-day mortality in ICU patients admitted for sepsis. Association of qSOFA with early (3-day), medium (28-day), late (90-day) mortality was assessed in low and lower middle income (LLMIC), upper middle income (UMIC) and high income (HIC) countries/regions.
METHODS: This was a secondary analysis of the MOSAICS II study, an international prospective observational study on sepsis epidemiology in Asian ICUs. Associations between qSOFA at ICU admission and mortality were separately assessed in LLMIC, UMIC and HIC countries/regions. Modified Poisson regression was used to determine the adjusted relative risk (RR) of qSOFA score on mortality at 28 days with adjustments for confounders identified in the MOSAICS II study.
RESULTS: Among the MOSAICS II study cohort of 4980 patients, 4826 patients from 343 ICUs and 22 countries were included in this secondary analysis. Higher qSOFA was associated with increasing 28-day mortality, but this was only observed in LLMIC (p h.
CONCLUSIONS: qSOFA was independently associated with 28-day mortality in ICU patients admitted for sepsis. In LLMIC and UMIC countries/regions, qSOFA was associated with early to late mortality but only early mortality in HIC countries/regions.