Umbilical Cord Wharton's Jelly-Derived Mesenchymal Stem Cells Inhibit the TGF-ß1 Pathway in Hepatic Fibrosis Rats Through a Paracrine Regulation Process.

BACKGROUND: The aim is to verify the therapeutic effect and possible mechanism of human umbilical cord Wharton's jelly-derived transplantation of mesenchymal stem cells (UMSCs) on CCl4-induced hepatic fibrosis rats through in vivo studies and to explore the regulatory mechanism of UMSCs on fibrosis of hepatic stellate cells (HSCs) through in vitro experiments. METHODS: In vivo experiment: Rats were randomly divided into blank control group and hepatic fibrosis group. During the entire trial, the blank control group received subcutaneous injection of normal saline, while in the hepatic fibrosis group received injections of 50% CCl4-olive oil subcutaneously for 10 weeks to establish the rat model of liver fibrosis. Hepatic fibrosis rats were then randomly and evenly divided into umbilical cord mesenchymal stem cell (UMSC) group, bone marrow mesenchymal stem cell (BMSC) group, UMSC-culture medium (CM) group, and control group. Rats in each group were infused with the following substances through the caudal vein as follows: 1 mL UMSCs (2 × 106/mL) in UMSC group, 1 mL BMSCs (2 × 106/mL) in BMSC group, 1 mL UMSCs-CM in CM group, and 1 mL saline in control group. Rats of each group were closely observed (weight, hair condition, activity, appetite, diarrhea, etc.), venous blood samples were collected, the number of white blood cells and lymphocytes were measured, and liver function indicators (ALT, AST, TBIL, ALB) were determined. Three weeks later, rat liver specimens were taken, HE stained, pathological changes were examined and quantified. In vitro experiments: HSCs were seeded in 6-well plates at 1.0 × 105/mL, with a serum-free medium for 24 hours. Then, 2 mL of UMSCs-CM was added in the study group, while an equal amount of complete medium was added to the control group. RT-PCR was used to detect TGF-ß1, Collagen-I, TIMP-2 mRNA expression in HSCs, and western blot was used to detect TGF-ß1 protein expression in HSCs. RESULTS: In vivo experiment: Compared with the control group, after the transplantation, the activity status (weight, spirit, appetite, movement, hair, diarrhea, etc.) of rats in the UMSC group, BMSC group, and CM group were improved. The liver function indexes of these groups, such as alanine aminotransferase (ALT), aspartate aminotransferase (AST), and total bilirubin (TBIL) were significantly decreased (p < 0.05), while albumin (ALB) levels were mildly but not significantly increased (p > 0.05). The Knodell score (reflecting the degree of liver inflammation) and Chevallier score (reflecting the degree of liver fibrosis) of liver specimens in pathological examination were also significantly reduced, and the difference in the quantitative scores of those indexes was statistically significant (p < 0.05). There was no statistically significant difference in the number of venous white blood cells and lymphocytes, liver function indexes (ALT, AST, TBIL, ALB), Knodell score, and Chevallier score of liver samples among the UMSC group, BMSC group, and CM group. In vitro experiments: After treatment with UMSCs-CM, the expression of TGF-ß1, Collagen-I, and TIMP-2 mRNA in HSCs was significantly down-regulated compared with that of the control group (treated with complete medium), and it gradually decreased with the extension of the treatment time. Compared with the control group, the expression of TGF-ß1 protein in the HSCs of the experimental group was down-regulated, and this effect was time-dependent, specifically, the control group (2.49 ± 0.43) > the experimental group at 48 hours (1.98 ± 0.26) > the experimental group at 72 hours (1.62 ± 0.20) (F = 7.796, p < 0.05). CONCLUSIONS: In rats with liver fibrosis, transplantation of UMSCs can improve liver function and reduce the inflammatory activity and fibrosis of the liver, possibly through the paracrine mechanism. UMSCs inhibit HSCs fibrosis through a paracrine mechanism, which is time-dependent, possibly by targeting TGF-ß1 and its downstream gene products.

Diffusion Model for DAS-VSP Data Denoising.

Distributed acoustic sensing (DAS) has emerged as a transformational technology for seismic data acquisition. However, noise remains a major impediment, necessitating advanced denoising techniques. This study pioneers the application of diffusion models, a type of generative model, for DAS vertical seismic profile (VSP) data denoising. The diffusion network is trained on a new generated synthetic dataset that accommodates variations in the acquisition parameters. The trained model is applied to suppress noise in synthetic and field DAS-VSP data. The results demonstrate the model's effectiveness in removing various noise types with minimal signal leakage, outperforming conventional methods. This research signifies diffusion models' potential for DAS processing.

Knockdown of GTF2E2 inhibits the growth and progression of lung adenocarcinoma via RPS4X in vitro and in vivo.

BACKGROUND: Lung adenocarcinoma (LUAD) is one of the most common malignancies worldwide. However, the molecular mechanism of LUAD tumorigenesis and development remains unclear. The purpose of this study was to comprehensively illustrate the role of GTF2E2 in the growth and progression of LUAD. METHODS AND MATERIALS: We obtained the mRNA expression data from The Cancer Genome Atlas, Gene Expression Omnibus database, and our institution. Systematic bioinformatical analyses were performed to investigate the expression and prognostic value of GTF2E2 in LUAD. The results were validated by immunohistochemistry and qPCR. The effect of knocking down GTF2E2 using two short hairpin RNAs was investigated by in vitro and in vivo assays. Subsequently, shotgun liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) analyses were applied to identified potential GTF2E2 interacting proteins, and the downstream molecular mechanisms of GTF2E2-signaling were further explored by a series of cellular functional assays. RESULTS: We found that GTF2E2 expression was significantly increased in LUAD tissue compared with adjacent normal tissue and was negatively associated with patients' overall survival. Besides, we demonstrated that GTF2E2 knockdown inhibited LUAD cell proliferation, migration, invasion, and promote apoptosis in vitro, as well as attenuated tumor growth in vivo. Results from LC-MS/MS suggested that RPS4X might physically interact with GTF2E2 and mediated GTF2E2's regulatory effect on LUAD development through the mTOR pathway. CONCLUSION: Our findings indicate that GTF2E2 promotes LUAD development by activating RPS4X. Therefore, GTF2E2 might serve as a promising biomarker for the diagnosis and prognosis of LUAD patients, thus shedding light on the precise and personalized therapy for LUAD in the future.

Morphological and genetic heterogeneity of synchronous multifocal lung adenocarcinoma in a Chinese cohort.

BACKGROUND: Synchronous multifocal lung cancer (SMLC) is diagnosed with increasing frequency in clinical practice globally. Due to innate variation in clinical management and outcome, it is vital to properly distinguish between synchronous multifocal primary lung cancer (SMPLC) and intrapulmonary metastasis (IM). The pathologic features and principal classification criteria of multifocal lung cancer remain unclear. Our objective was to evaluate the diagnostic value of histological morphologic features and driver gene mutations in SMLC classification. METHODS: We collected a unique cohort of Chinese patients with SMLC, and fully explored the morphologic, immunohistochemical, and molecular features of the disease. Twenty-one SMLC patients with a total of 50 tumours were included in our study. The pathological features that were presented by these patients were analysed, including the tumours location, tumours size, pathological types, predominant pattern of adenocarcinoma, and immunohistochemical staining. We conducted molecular testing of nine driver oncogenes that are associated with lung cancer, namely, EGER, KRAS, BRAF, NRAS, ALK, ROS1, RET, HER2, and PIK3CA. RESULTS: According to the Martini-Melamed classification and refined standard, 8 and 17 patients, respectively, were considered to have SMPLCs. Gene mutations were identified in 18 tumours (36%). Twelve patients had different gene mutations. CONCLUSIONS: We demonstrate that conventional morphological assessment is not sufficient to clearly establish the clonal relationship of SMPLCs. Instead, the evaluation of histological subtypes, including nonmucinous adherent components, is required. Multiplex genotypic analysis may also prove to be a useful additional tool.

Does Hepatitis B Virus Affect the Coagulation Parameters for HBV-Related Decompensated Cirrhosis?

BACKGROUND: To evaluate the effect of the hepatitis B virus (HBV) on the coagulation parameters in patients with hepatitis B virus-related decompensated cirrhosis (HBV-DeCi). METHODS: A retrospective analysis was conducted on the medical records of 112 patients with HBV-DeCi. Baseline clinical and laboratory characteristics were retrieved. Subjects were subdivided into 3 groups. Group I: 22 cases of hepatitis B were HBsAg, HBeAg, and HbcAb positive; Group II: 67 patients were HBsAg, HBeAb, and HbcAb positive; Group III: 23 patients were HBsAb, HBeAb and HbcAb positive. The coagulation indicators, such as prothrombin time (PT), activated partial thromboplastin time (APTT), thrombin time (TT), fibrinogen (FIB), and international normalized ratio (INR, a method to standardize reporting of the PT, using the formula, INR = (PTpatient/PTcontrol)ISI) of each groups were analyzed, The correlation between the characteristics of coagulation function and the type of hepatitis infection were studied. RESULTS: The FIB values of Group I and II were lower than those of Group III, and Group I had significantly longer TT compared to Group III. CONCLUSIONS: In patients with HBV-DeCi, hepatitis B virus has an effect on coagulation parameters; therefore, antiviral treatment must be carried out as soon as possible.

Clinical Treatment Experience in Severe and Critical COVID-19.

Compared with other deadly diseases, the coronavirus disease 2019 (COVID-19) is highly infectious with a relatively low mortality rate. Although critical cases account for only 5% of cases, the mortality rate for the same is nearly 50%. Therefore, the key to the COVID-19 treatment is to effectively treat severe patients and reduce the transition from severe to critical cases. A retrospective study was carried out to evaluate outcomes of treatment in patients with severe and critical COVID-19 admitted to a COVID-19 special hospital in Wuhan, China. A total of 75 severe and critical COVID-19 patients were admitted and treated with immunomodulation as the main strategy combined with anti-inflammatory therapy and appropriate anticoagulation. Leukocyte levels in patients with 7-14 days of onset to diagnosis were significantly lower than in those with >14 days. Higher levels of globulin and D-dimer and lower lymphocyte levels were found in the older age group (>65 years) than in the middle-aged group (50-64 years). Patients with comorbidity had higher levels of inflammatory indicators. After treatment, 65 (86.67%) patients were cured, 7 (9.33%) had improved, and 3 (4.00%) had died. Median hospitalization duration was 23 days. Fatal cases showed continuously increased levels of globulin, dehydrogenase (LDH), hypersensitive C-reactive protein (hs-CRP), D-dimer, and cytokines during treatment. Time from onset to diagnosis, age, and comorbidity are important influencing factors on treatment effects. The occurrence of immunosuppression, "cytokine storm," and thrombosis may be an important cause of death in severely infected cases. In conclusion, high cure rate and low mortality suggested that immunomodulation combined with anti-inflammatory therapy and appropriate anticoagulant therapy is a good strategy for treatment of patients with severe and critical COVID-19.

Virology and Serological Characteristics of Chronic Hepatitis B Patients with the Co-existence of HBsAg and Anti-HBs Antibodies.

BACKGROUND: To investigate the virological and serological characteristics of chronic hepatitis B patients concurrently positive for HBsAg and anti-HBs. METHODS: Chronic hepatitis B patients with coexistence of HBsAg and anti-HBs were screened by electrochemiluminescence immunoassay (ECLIA). The serum biomarkers such as HBV markers, HBV DNA load, AFP, and liver function were detected, and the virological and serological features were analyzed. RESULTS: The simultaneous seropositivity for hepatitis-B surface antigen and anti-HBS antibodies was 3.867%. There was no significant difference in the detection rate between men and women (p > 0.05). The HBV DNA detection rate, HBV DNA load, and liver function index of the high HBsAg titer group were significantly higher than those of the low titer group. There was no significant difference in HBV DNA load, AFP, and liver function between different levels of anti-HBs (p > 0.05). CONCLUSIONS: In chronic hepatitis B patients, there is a certain proportion of patients with coexistence of HBsAg and anti-HBs. The emergence of anti-HBs does not mean that HBsAg can be completely and effectively eliminated. HBV DNA load can be replicated continuously with the presence of anti-HBs, and its follow-up is worthy of clinical attention.

Rapid and visual detection of dengue virus using recombinase polymerase amplification method combined with lateral flow dipstick.

Dengue virus (DENV), a member of the genus Flavivirus within the family Flaviviridae, is one of the most significant mosquito-borne viruses that causing dengue fever in human. A rapid diagnostic would be helpful to detect DENV infection in a timely manner. In the last decade, recombinase polymerase amplification (RPA) technique has been experiencing rapid development and widely employed to detect various other pathogens. In present study, a reverse transcription RPA (RT-RPA) assay combined with lateral flow dipstick (LFD) was established for rapid detection of DENV. The assay could detect DENV-1, -2, -3 and -4. The minimal detection limit of the RT-RPA-LFD assay was 10 copies RNA molecules. The assay was DENV-specific since it had no non-specific reactions with other common human pathogens. The clinical performance of the RT-RPA assay was validated using 120 clinical samples. The coincidence rate between RT-RPA-LFD and qRT-PCR for the clinical samples was 100%, indicating the RT-RPA-LFD assay had good diagnostic performance on clinical samples. The RT-RPA-LFD assay required no sophisticated instrument, providing a possible solution for DENV diagnosis in recourse-limited settings where DENV infection is epidemic.

Development of a reverse transcription recombinase polymerase amplification assay for rapid detection of human respiratory syncytial virus.

Respiratory syncytial virus (RSV) is one of the most important causative agents that causing respiratory tract infection in children and associated with high morbidity and mortality. A diagnostic method would be a robust tool for identification of RSV infection, especially in the resource-limited settings. Recombinase polymerase amplification (RPA) is a novel isothermal amplification technique which has been widely employed to detect human/animal pathogens. In present study, a probe-based reverse transcription RPA (RT-RPA) assay was established for the detection of RSV. The primers and probe were designed based on the sequences of the conserved nucleocapsid (N) gene. The minimal detection limit of the RT-RPA assay for the detection of RSV B was 19 copies of RNA molecules at 95% probability, whereas the detection limit for RSV A was 104 copies molecule. The assay was RSV-specific since it had no non-specific reactions with other common human pathogens. The clinical performance of the RT-RPA assay was validated using 188 nasopharyngeal aspirates (NPAs). The nucleic acid extraction of the samples was performed by use of the magnetic bead-based kit which didn't require the heavy and expensive centrifuge. The coincidence rates between RT-RPA and qRT-PCR for the clinical samples was 96%, indicating the RT-RPA assay had good diagnostic performance on clinical samples. The real-time RT-RPA assay combined with the manual genome extraction method make it potential to detect clinical samples in field, providing a possible solution for RSV diagnosis in remote rural areas in developing countries.

Brain astrocytoma misdiagnosed as anti-NMDAR encephalitis: a case report.

BACKGROUND: Anti-N-methyl-D-aspartate receptor (anti-NMDAR) encephalitis, which is the most common type of autoimmune encephalitis, is caused by the production of autoantibodies against NMDA receptor. Anti-NMDAR encephalitis patients present with various non-specific symptoms, such as abnormal psychiatric or behaviour, speech dysfunction, cognitive dysfunction, seizures, movement disorders, decreased level of consciousness, and central hypoventilation or autonomic dysfunction. CASE PRESENTATION: A 67-year-old man presented with new-onset focal seizures. The brain magnetic resonance imaging (MRI) plain scan and enhanced scan showed abnormal signal on the proximal midline frontoparietal junction region. Anti-NMDAR antibody was detected in cerebrospinal fluid (CSF) and serum using a commercial kit (Euroimmune, Germany) by indirect immunofluorescence testing (IIFT) according to the manufacturer's instructions for twice. Both of the test results were positive in CSF and serum. The patient was diagnosed as anti-NMDAR encephalitis and then was treated repeatedly with large dose of intravenous corticosteroids and gamma globulin. Accordingly, the refractory nature of seizures in this case may be attributed to NMDAR autoantibodies. When the patient presented at the hospital for the third time, the brain MRI revealed an increase in the size of the frontal parietal lesion and one new lesion in the left basal ganglia. The patient underwent a surgical biopsy and astrocytoma was confirmed by histopathology. CONCLUSIONS: Although the sensitivity and specificity of anti-NMDAR-IgG antibodies in CSF to diagnose anti-NMDAR encephalitis are close to 100%, it is not absolute. Anti-NMDAR antibodies were positive, which might make the diagnosis more complex. The diagnosis of atypical presentation of anti-NMDAR encephalitis requires reasonable exclusion of other disorders.

Spurious Low WBC Count from Sysmex XN3000: a Case Report.

BACKGROUND: We present a case of spurious low WBC count in a liver transplant patient. The patient is a 56-year-old man with liver cancer. METHODS: His routine blood test revealed a decrease in WBC count: 0.03 x 109/L compared to 19.30 x 109/L before. The WBCs in the blood smear appeared higher than that reported by the XN without any aggregation. We diluted the blood sample to 1:7 with the DCL of the XN. RESULTS: The diluted result matches the blood smear. CONCLUSIONS: Dilution mode may be a good choice when there is WNR and WDF discordance, and a smear must be reviewed.

Isolation and Characterization of a Ranavirus Associated with Disease Outbreaks in Cultured Hybrid Grouper (♀ Tiger Grouper Epinephelus fuscoguttatus × â™‚ Giant Grouper E. lanceolatus) in Guangxi, China.

An outbreak of suspected iridovirus disease in cultured hybrid grouper (♀Tiger Grouper Epinephelus fuscoguttatus × â™‚ Giant Grouper Epinephelus lanceolatus) occurred in the Guangxi Province in July, 2018. In this study, grouper iridovirus Guangxi (SGIV-Gx) was isolated from diseased hybrid grouper that were collected from Guangxi. Cytopathic effects were observed and identified in grouper spleen cells that were incubated with diseased tissue homogenates after 24 h, and the effects increased at 48 h postinfection. The transmission electron microscopy results showed that viral particles that were about 200 nm in diameter with hexagonal profiles were present in the cell cytoplasm of suspected virus-infected cells. The presence of SGIV-Gx (accession number: MK107821) was identified by polymerase chain reaction (PCR) and amplicon sequencing, which showed that this strain was most closely related to Singapore grouper iridovirus (AY521625.1). The detection of SGIV-Gx infection was further supported by novel aptamer (Q2c)-based detection technology. The effects of temperature and pH on viral infectivity were analyzed by using reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) and cell culture. The results indicated that SGIV-Gx was resistant to exposure to pH levels 5, 7, and 7.5 for 1 h, but its infectivity was remarkably lower at pH levels 3 and 10 after 1 h. The analyses showed that SGIV-Gx was stable for 1 h at 4°C and 25°C but was inactivated after 1 h at 40, 50, and 60°C.

Prognostic value of age in neurological cancer: an analysis of 22,393 cases from the SEER database.

Although the risk of neurological cancer (NC) is age-dependent, few studies have evaluated the prognostic value of age in determining NC survival in a large population. The aim of this retrospective study was to compare the long-term survival of young and elderly NC patients. We searched the Surveillance, Epidemiology, and End-Results database and identified 22,393 patients who were diagnosed with NC between 1988 and 2003 and were treated with surgery. Patients were categorized as young (≤40 years old) or elderly (>40 years old), and 5-year NC-specific survival (NCSS) data were obtained for each patient. A Kaplan-Meier survival analysis and the Cox proportional hazards model were used to analyze long-term survival outcomes and risk factors. The two groups differed significantly in terms of pathological grade, histological type, stage, and tumor size (P < 0.001). A difference in 5-year NCSS rates (63.8 and 19.0% in young and elderly patients, respectively) was detected by uni- and multivariate analyses. A stratified analysis of age on cancer survival revealed significant differences at T1-T4 stages. Age has prognostic value for determining NC risk. NCSS is higher in young than in elderly NC patients.

Rhizobacteria of Populus euphratica Promoting Plant Growth Against Heavy Metals.

The heavy metal-resistant bacteria from rhizospheric soils of wild Populus euphratica forest growing in arid and saline area of northwestern China were investigated by cultivation-dependent methods. After screening on medium sparked with zinc, copper, nickel and lead, 146 bacteria strains with different morphology were isolated and most of them were found to be resistant to at least two kinds of heavy metals. Significant increase in fresh weight and leaf surface area of Arabidopsis thaliana seedlings under metal stress were noticed after inoculated with strains especially those having multiple-resistance to heavy metals such as Phyllobacterium sp. strain C65. Investigation on relationship between auxin production and exogenous zinc concentration revealed that Phyllobacterium sp. strain C65 produced auxin, and production decreased as the concentration of zinc in medium increased. For wheat seedlings treated with zinc of 2 mM, zinc contents in roots of inoculated plants decreased by 27% (P < 0.05) compared to the uninoculated control. Meanwhile, zinc accumulation in the above-ground tissues increased by 22% (P < 0.05). The translocation of zinc from root to above-ground tissues induced by Phyllobacterium sp. strain C65 helped host plants extract zinc from contaminated environments more efficiently thus alleviated the growth inhibition caused by heavy metals.

H-ACO with Consecutive Bases Pairing Constraint for Designing DNA Sequences.

DNA computing is a novel computing method that does not rely on traditional computers. The design of DNA sequences is a crucial step in DNA computing, and the quality of the sequence design directly affects the results of DNA computing. In this paper, a new constraint called the consecutive base pairing constraint is proposed to limit specific base pairings in DNA sequence design. Additionally, to improve the efficiency and capability of DNA sequence design, the Hierarchy-ant colony (H-ACO) algorithm is introduced, which combines the features of multiple algorithms and optimizes discrete numerical calculations. Experimental results show that the H-ACO algorithm performs well in DNA sequence design. Finally, this paper compares a series of constraint values and NUPACK simulation data with previous design results, and the DNA sequence set designed in this paper has more advantages.

Integrated improved Harris hawks optimization for global and engineering optimization.

The original Harris hawks optimization (HHO) algorithm has the problems of unstable optimization effect and easy to fall into stagnation. However, most of the improved HHO algorithms can not effectively improve the ability of the algorithm to jump out of the local optimum. In this regard, an integrated improved HHO (IIHHO) algorithm is proposed. Firstly, the linear transformation escape energy used by the original HHO algorithm is relatively simple and lacks the escape law of the prey in the actual nature. Therefore, intermittent energy regulator is introduced to adjust the energy of Harris hawks, which is conducive to improving the local search ability of the algorithm while restoring the prey's rest mechanism; Secondly, to adjust the uncertainty of random vector, a more regular vector change mechanism is used instead, and the attenuation vector is obtained by modifying the composite function. Finally, the search scope of Levy flight is further clarified, which is conducive to the algorithm jumping out of the local optimum. Finally, in order to modify the calculation limitations caused by the fixed step size, Cardano formula function is introduced to adjust the step size setting and improve the accuracy of the algorithm. First, the performance of IIHHO algorithm is analyzed on the Computational Experimental Competition 2013 (CEC 2013) function test set and compared with seven improved evolutionary algorithms, and the convergence value of the iterative curve obtained is better than most of the improved algorithms, verifying the effectiveness of the proposed IIHHO algorithm. Second, the IIHHO is compared with another three state of the art (SOTA) algorithms with the Computational Experimental Competition 2022 (CEC 2022) function test set, the experiments show that the proposed IIHHO algorithm still has a strong ability to search for the optimal value. Third, IIHHO algorithm is applied in two different engineering experiments. The calculation results of minimum cost prove that IIHHO algorithm has certain advantages in dealing with the problem of search space. All these demonstrate that the proposed IIHHO is promising for numeric optimization and engineering applications.

Multi-strategy learning-based particle swarm optimization algorithm for COVID-19 threshold segmentation.

With advancements in science and technology, the depth of human research on COVID-19 is increasing, making the investigation of medical images a focal point. Image segmentation, a crucial step preceding image processing, holds significance in the realm of medical image analysis. Traditional threshold image segmentation proves to be less efficient, posing challenges in selecting an appropriate threshold value. In response to these issues, this paper introduces Inner-based multi-strategy particle swarm optimization (IPSOsono) for conducting numerical experiments and enhancing threshold image segmentation in COVID-19 medical images. A novel dynamic oscillatory weight, derived from the PSO variant for single-objective numerical optimization (PSOsono) is incorporated. Simultaneously, the historical optimal positions of individuals in the particle swarm undergo random updates, diminishing the likelihood of algorithm stagnation and local optima. Moreover, an inner selection learning mechanism is proposed in the update of optimal positions, dynamically refining the global optimal solution. In the CEC 2013 benchmark test, PSOsono demonstrates a certain advantage in optimization capability compared to algorithms proposed in recent years, proving the effectiveness and feasibility of PSOsono. In the Minimum Cross Entropy threshold segmentation experiments for COVID-19, PSOsono exhibits a more prominent segmentation capability compared to other algorithms, showing good generalization across 6 CT images and further validating the practicality of the algorithm.

A Random Particle Swarm Optimization Based on Cosine Similarity for Global Optimization and Classification Problems.

In today's fast-paced and ever-changing environment, the need for algorithms with enhanced global optimization capability has become increasingly crucial due to the emergence of a wide range of optimization problems. To tackle this issue, we present a new algorithm called Random Particle Swarm Optimization (RPSO) based on cosine similarity. RPSO is evaluated using both the IEEE Congress on Evolutionary Computation (CEC) 2022 test dataset and Convolutional Neural Network (CNN) classification experiments. The RPSO algorithm builds upon the traditional PSO algorithm by incorporating several key enhancements. Firstly, the parameter selection is adapted and a mechanism called Random Contrastive Interaction (RCI) is introduced. This mechanism fosters information exchange among particles, thereby improving the ability of the algorithm to explore the search space more effectively. Secondly, quadratic interpolation (QI) is incorporated to boost the local search efficiency of the algorithm. RPSO utilizes cosine similarity for the selection of both QI and RCI, dynamically updating population information to steer the algorithm towards optimal solutions. In the evaluation using the CEC 2022 test dataset, RPSO is compared with recent variations of Particle Swarm Optimization (PSO) and top algorithms in the CEC community. The results highlight the strong competitiveness and advantages of RPSO, validating its effectiveness in tackling global optimization tasks. Additionally, in the classification experiments with optimizing CNNs for medical images, RPSO demonstrated stability and accuracy comparable to other algorithms and variants. This further confirms the value and utility of RPSO in improving the performance of CNN classification tasks.

Influence of hypercapnia on the synthesis of neuropeptides and their receptors in murine brain.

BACKGROUND AND OBJECTIVE: Sleep disorders are a complicated and major public health concern affecting millions of individuals. Obstructive sleep apnoea (OSA) is a common but still under-recognized disease which can cause intermittent nocturnal hypercapnia. Neuropeptides play critical roles in neurotransmission, acting as transmitters or modulators. Results from recent studies have implicated several neuropeptides in sleep and breathing regulation, including orexin, neuropeptides Y and galanin. Therefore, the present study aimed to evaluate the influence of hypercapnia on these neuropeptides and their receptors in order to assess their potential role in the pathogenesis of OSA. METHODS: Fifteen C57BL/6J mice were randomly divided into three groups and exposed to moderate hypercapnia (5% CO(2) with balanced room air), or severe hypercapnia (10% CO(2) with balanced room air) or room air for 3 h (9:00-12:00 h), respectively. Immediately following exposure the brainstem and hypothalamus were excised for real-time reverse transcription polymerase chain reaction and western blot analyses. RESULTS: In the hypothalamus gene expression including galanin, orexin and neuropeptide Y receptor 1 (NPYR1) was downregulated by hypercapnia. However, protein and mRNA levels of orexin-A receptor were upregulated by severe hypercapnia. In the brainstem only NPYR1 mRNA expression was decreased in moderate hypercapnia compared with that in severe hypercapnia. CONCLUSIONS: These findings suggest that hypercapnia can affect these neuropeptides and their receptors, especially the orexin and orexin-A receptor. The potential relationships between these peptides and OSA are worthy of further investigation.

Improved Bare Bones Particle Swarm Optimization for DNA Sequence Design.

DNA computing has efficient computational power, but requires high requirements on the DNA sequences used for coding, and reliable DNA sequences can effectively improve the quality of DNA encoding. And designing reliable DNA sequences is an NP problem, because it requires finding DNA sequences that satisfy multiple sets of conflicting constraints from a large solution space. To better solve the DNA sequence design problem, we propose an improved bare bones particle swarm optimization algorithm (IBPSO). The algorithm uses dynamic lensing opposition-based learning to initialize the population to improve population diversity and enhance the ability of the algorithm to jump out of local optima; An evolutionary strategy based on signal-to-noise ratio(SNR) distance is designed to balance the exploration and exploitation of the algorithm; Then an invasive weed optimization algorithm with niche crowding(NCIWO) is used to eliminate low-quality solutions and improve the search efficiency of the algorithm. In addition, we introduce the triplet-bases unpaired constraint to further improve the quality of DNA sequences. Finally, the effectiveness of the improved strategy is demonstrated by ablation experiments; and the DNA sequences designed by our algorithm are of higher quality compared with those generated by the six advanced algorithms.