Poor Immunity Research Articles

ZFP1 is a biomarker related to poor prognosis and immunity in gastric cancer

We aimed to determine the prognostic significance of ZFP1 in gastric cancer (GC), its role in the immune microenvironment, and its potential as a therapeutic target using data from The Cancer Genome Atlas (TCGA) database. ZFP1 overexpression was closely associated with tumour T stage and histological grade. Patients with GC and high ZFP1 expression had poor outcomes. Lower ZFP1 expression was associated with longer symptom-free intervals and disease-specific survival. Subgroup analyses of T3 and T4, N0, N1, and M0 patients showed that overall survival (OS), disease-specific survival, and progression-free interval (PFI) were worse in those with high ZFP1 expression. ZFP1 expression in GC was moderately to strongly positively correlated with the infiltration levels of effector central memory T cells and T helper cells and negatively correlated with Th17 cells and NK CD56bright cells. The lncRNA-miRNA-ZFP1 axis was predicted using a public database. CCK8, colony formation, and wound healing assays were conducted to investigate whether ZFP1 promoted the proliferation and migration of GC cells. Our study suggests that ZFP1 plays a key role in the prognosis, immune response, and progression of GC and is a significant factor in the diagnosis and treatment of this disease.

KIR2DL1 gene is a surrogate marker of protection against infection-related hospitalization among HIV-1 unexposed versus exposed uninfected infants in Cameroon

BackgroundHIV-exposed uninfected infants (HEU) appear more vulnerable to infections compared to their HIV-unexposed uninfected (HUU) peers, generally attributed to poor passive immunity acquired from the mother. This may be due to some genetic factors that could alter the immune system. We thus sought to determine the distribution of Killer Cell Immunoglobulin-Like Receptors (KIRs) genes in HEU versus HUU and study their associations with the occurrence of infection-related hospitalization.MethodsA cohort study was conducted from May 2019 to April 2020 among HEU and HUU infants, including their follow-up at weeks 6, 12, 24, and 48, in reference pediatric centers in Yaoundé-Cameroon. The infant HIV status and infections were determined. A total of 15 KIR genes were investigated using the sequence-specific primer polymerase chain reaction (PCR-SSP) method. The KIR genes that were significantly associated with HIV-1 status (HEU and HUU) were analyzed for an association with infection-related hospitalizations. This was only possible if, and to the extent that, infection-related hospitalizations varied significantly according to status. Multivariate logistic regression analyses were conducted to determine the association between KIR gene content variants and HIV status, while considering a number of potential confounding factors. Furthermore, the risk was quantified using relative risk, odds ratio, and a 95% confidence interval. The Fisher exact test was employed to compare the frequency of occurrences. A p-value of less than 0.05 was considered statistically significant.ResultsIn this cohort, a total of 66 infants participated, but only 19 acquired infections requiring hospitalizations (14.81%, 04/27 HUU and 38.46%, 15/39 HEU, p = 0.037). At week 48 (39 HEU and 27 HUU), the relative risk (RR) for infection-related hospitalizations was 2.42 (95% CI: 1.028–5.823) for HEU versus HUU with OR 3.59 (1.037–12.448). KIR2DL1 gene was significantly underrepresented in HEU versus HUU (OR = 0.183, 95%CI: 0.053–0.629; p = 0.003), and the absence of KIR2DL1 was significantly associated with infection-related hospitalization (p < 0.001; aOR = 0.063; 95%CI: 0.017–0.229).ConclusionCompared to HUU, the vulnerability of HEU is driven by KIR2DL1, indicating the protective role of this KIR against infection and hospitalizations.

Single-shot dendritic cell targeting SARS-CoV-2 vaccine candidate induces broad, durable and protective systemic and mucosal immunity in mice

Current coronavirus disease 2019 vaccines face limitations including waning immunity, immune escape by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants, limited cellular response, and poor mucosal immunity. We engineered a Clec9A-receptor binding domain (RBD) antibody construct that delivers the SARS-CoV-2 RBD to conventional type 1 dendritic cells. Compared with non-targeting approaches, single dose immunization in mice with Clec9A-RBD induced far higher RBD-specific antibody titers that were sustained for up to 21months after vaccination. Uniquely, increasing neutralizing and antibody-dependent cytotoxicity activities across the sarbecovirus family was observed, suggesting antibody affinity maturation over time. Consistently and remarkably, RBD-specific follicular T helper cells and germinal center B cells persisted up to 12months after immunization. Furthermore, Clec9A-RBD immunization induced a durable mono- and poly-functional T-helper 1-biased cellular response that was strongly cross-reactive against SARS-CoV-2 variants of concern, including Omicron subvariants, and with a robust CD8+ Tcell signature. Uniquely, Clec9A-RBD single-shot systemic immunization effectively primed RBD-specific cellular and humoral immunity in lung and resulted in significant protection against homologous SARS-CoV-2 challenge as evidenced by limited body weight loss and approximately 2 log10 decrease in lung viral loads compared with non-immunized controls. Therefore, Clec9A-RBD immunization has the potential to trigger robust and sustained, systemic and mucosal protective immunity against rapidly evolving SARS-CoV2 variants.

The molecular pathology at Work: Metformin and Variability in Glycemic Control

The molecular pathology at Work: Metformin and Variability in Glycemic Control

Chronic viral infection impairs immune memory to a different pathogen.

Chronic viral infections cause T cell dysfunction in both animal models and human clinical settings, thereby affecting the ability of the host immune system to clear viral pathogens and develop proper virus-specific immune memory. However, the impact of chronic viral infections on the host's immune memory to other pathogens has not been well described. In this study, we immunized mice with recombinant Listeria monocytogenes expressing OVA (Lm-OVA) to generate immunity to Lm and allow analysis of OVA-specific memory T (Tm) cells. We then infected these mice with lymphocytic choriomeningitis virus (LCMV) strain Cl-13 which establishes a chronic infection. We found that chronically infected mice were unable to protect against Listeria re-challenge. OVA-specific Tm cells showed a progressive loss in total numbers and in their ability to produce effector cytokines in the context of chronic LCMV infection. Unlike virus-specific T cells, OVA-specific Tm cells from chronically infected mice did not up-regulate the expression of inhibitory receptors, a hallmark feature of exhaustion in virus-specific T cells. Finally, OVA-specific Tm cells failed to mount a robust recall response after bacteria re-challenge both in the chronically infected and adoptively transferred naïve hosts. These results show that previously established bacteria-specific Tm cells become functionally impaired in the setting of an unrelated bystander chronic viral infection, which may contribute to poor immunity against other pathogens in the host with chronic viral infection.

Research on photovoltaic dynamic MPPT algorithm based on adaptive PSO optimization

This paper proposes a photovoltaic (PV) dynamic maximum power point tracking algorithm based on improved PSO (particle swarm optimization) optimization in response to the problems associated with low tracking accuracy, poor immunity, and the ease of falling into local optimization, as well as the failure of the traditional MPPT algorithm (maximum power point tracking algorithm) under partial shading conditions. Firstly, three traditional MPPT algorithms are compared and analyzed, followed by simulation testing under standard and partial shading conditions. The advantages and disadvantages of three traditional algorithms are analyzed. Secondly, it is proposed that dynamic inertia weights and learning factors be applied synchronously during the optimization process in order to speed up the tracking speed of particle swarm optimization. In order to evaluate the effectiveness of different algorithms, it is best to simulate them under static and dynamic conditions. In comparison to the standard particle swarm algorithm and three other traditional algorithms, the proposed algorithm is capable of tracking the maximum power point quickly and accurately under conditions of uniform illumination and static and dynamic partial shading. There is a faster convergence speed as well as a greater degree of accuracy at steady state.

A New Method for the Analysis of Broadband Oscillation Mode of New Energy Stations

The accurate identification of the broadband oscillation mode is the premise of solving the resonance risk of new energy stations. Reviewing the traditional Prony algorithm, the problems of the high model order and poor noise immunity in broadband oscillation mode are identified. The accuracy and running time of the Variational mode decomposition (VMD) is a symmetric trade-off problem. An improved strategy based on VMD is proposed. Firstly, the optimal value of the number of modes and penalty factors obtained by a particle swarm optimization algorithm is input into VMD to decompose the signal into multiple modes. Then, combined with the energy threshold method, the denoising and signal reconstruction of each mode component after decomposition are carried out. Finally, the Prony algorithm is used to identify the oscillation mode of the original signal and the reconstructed signal, respectively. The Signal-to-noise ratio (SNR) and model order are compared and analyzed. Through the analysis of the example and simulation data, it is shown that the proposed method effectively solves the problem of poor engineering adaptability of the traditional Prony algorithm. It also can accurately obtain the time-domain characteristics of broadband oscillation, which has a promising future in the engineering application.

IL-17 expression and prognosis of laryngeal squamous cell carcinoma.

Objective: To investigate the roles of proinflammatory cytokine IL-17 in the prognosis of laryngeal squamous cell carcinoma (LSCC). Methods: In all, 67 LSCC patients were enrolled to evaluate the expression of IL-17, IL-23, CD8, CD31, and vascular endothelial growth factor by immunohistochemical staining. Cumulative survival time was determined by the Kaplan-Meier approach, and prognostic variables for overall survival (OS) were identified by Cox proportional-hazards models. Results: The expression of IL-17 and IL-23 was remarkably higher in LSCC tissue than in adjacent normal (AN) tissue (P < .001). The Kaplan-Meier analysis indicated that patients with cervical lymph node metastasis (CLNM), advanced tumor node metastasis (TNM) stage, poor-differentiated grade, high microvessel density (MVD) in LSCC tissues, and high IL-17 expression in AN tissues had poorer OS (all P < .05). Cox regression analysis revealed that CLNM (HR = 7.246; 95% CI: 2.598-20.208; P < .001), high MVD in tumor tissues (HR = 4.233; 95% CI: 1.482-12.092; P = .007), and low CD8 expression in AN tissues (HR = 3.996; 95% CI: 1.442-11.074; P = .008) were significantly associated with poorer OS in LSCC, while IL-17 expression in AN tissue was not. Conclusion: High IL-17 expression in AN tissues could indicate poor prognosis and may be a prognostic marker for LSCC. Low CD8 expression in AN tissues may represent poor frontline antitumor immunity and be associated with poor prognosis.

Pasteurellosis in small ruminants and its epidemiology, prevention and control: A brief review

Small ruminant production contributes to the livelihood of small-scale farmers. However, the production is low due to several factors, including pneumonic pasteurellosis. The primary causes of infections are Mannheimia haemolytica, Pasteurella multocida, and Biberstinia trehalosi. It is of great importance at the national level. The disease is commonly transmitted through the air causing sporadic and epidemic pneumonia and septicaemia. Clinical signs include respiratory distress with high fever, coughing, difficulty breathing, and thick purulent nasal discharge. They typically occur in individuals with poor immunity. Weak management practices are often linked to stress. The disease incurs significant losses. The existence of many serotypes without cross-protection and the emergence of drug resistance have made its management more challenging. Furthermore, the causal agents are mostly organisms that reside in the upper respiratory tract but might lead to infection in those with reduced immune systems. Hence, it is crucial to prioritise appropriate selection of antimicrobials, reliable diagnosis, and the inclusion of relevant serotypes in developing vaccines to prevent and manage pneumonic pasteurellosis.&#x0D; Bang. vet. 2023. Vol. 40, No. 1 – 2, 25 – 36

Invasive Fungal Sinusitis with Intracranial Extension and Fatal Outcome: A Case Report

Invasive fungal sinusitis is a morbid condition usually encountered in patients with poor immunity, for instance, diabetics or those with lymphoproliferative disease. We report invasive fungal sinusitis in a young immunocompetent host. This case presents a 21-year-old man with an invasive fungal infection and intracranial extension. The patient initially complained of right-sided weakness, headache, vomiting, and diplopia and was subsequently found to have a significant post-contrast enhancement along the left temporal region, encasing the internal carotid artery (ICA). The patient was started on antifungal therapy, and underwent functional endoscopic sinus surgery (FESS) which revealed growth of Aspergillus on fungal culture. He later developed severe cardiac dysfunction and neurological deterioration, ultimately leading to death. This case highlights the significance of taking into account the importance of fungal sinusitis as a potential cause of neurological symptoms, particularly in younger age groups. Early diagnosis and appropriate management are crucial in preventing potentially fatal complications.

A new stereo matching algorithm based on improved four-moded census transform and adaptive cross pyramid model

&lt;p&gt;Stereo matching is still very challenging in terms of depth discontinuity, occlusions, weak texture regions, and noise resistance. To address the problems of poor noise immunity of local stereo matching and low matching accuracy in weak texture regions, a stereo matching algorithm (iFCTACP) based on improved four-moded census transform (iFCT) and a novel adaptive cross pyramid (ACP) structure were proposed. The algorithm combines the improved four-moded census transform matching cost with traditional measurement methods, which allows better anti-interference performance. The cost aggregation is performed on the adaptive cross pyramid structure, a unique structure that improves the traditional single mode of the cross. This structure not only enables regions with similar color and depth to be connected but also achieves cost smoothing across regions, significantly reducing the possibility of mismatch due to inadequate corresponding matching information and providing stronger robustness to weak texture regions. Experimental results show that the iFCTACP algorithm can effectively suppress noise interference, especially in illumination and exposure. Furthermore, it can markedly improve the error matching rate in weak texture regions with better generalization. Compared with some typical algorithms, the iFCTACP algorithm exhibits better performance whose average mismatching rate is only 3.33$ \% $.&lt;/p&gt;

Sensorless HSPMSM Control of an Improved SMC and EKF Based on Immune PSO

Here, for controlling a high-speed flywheel permanent magnet synchronous motor (HSPMSM), a position sensorless control method for estimation of motor rotor position and speed is proposed to address the problems faced by mechanical position sensors of high cost, large size, and poor interference immunity. The extended Kalman filter (EKF) has difficulty obtaining the optimal covariance matrix when performing state estimation. Therefore, the particle swarm algorithm (PSO) with an immune mechanism is used to optimize the covariance matrix of the EKF. However, the EKF algorithm makes the system less robust due to its delay effect. Based on the traditional sliding mode control rate, the exponential convergence law is improved, and the continuous function sat(s) is used instead of the symbolic function sgn(s). This improves the convergence law and proves the asymptotic stability of the designed sliding mode variable structure controller based on Lyapunov’s stability theorem. Then, the novel control law is applied to the sliding mode surface (SMS). An ordinary sliding mode controller (OSMC) using a linear sliding mode controller (LSMC), a global sliding mode controller (GSMC) using a global sliding mode surface (GSMS), and an integral sliding mode controller (ISMC) using an integral sliding mode surface (ISMS) are designed for improving control. Joint simulation in MATLAB and Simulink verifies that the optimized EKF based on the immune PSO can improve precision and accuracy for controlling the electronic rotor position and speed. Comparing the new sliding mode controller with a traditional PI controller reveals that the proposed system has stronger resistance to load disturbance and better robustness.

A U-Net Approach for InSAR Phase Unwrapping and Denoising

The interferometric synthetic aperture radar (InSAR) imaging technique computes relative distances or surface maps by measuring the absolute phase differences of returned radar signals. The measured phase difference is wrapped in a 2π cycle due to the wave nature of light. Hence, the proper multiple of 2π must be added back during restoration and this process is known as phase unwrapping. The noise and discontinuity present in the wrapped signals pose challenges for error-free unwrapping procedures. Separate denoising and unwrapping algorithms lead to the introduction of additional errors from excessive filtering and changes in the statistical nature of the signal. This can be avoided by joint unwrapping and denoising procedures. In recent years, research efforts have been made using deep-learning-based frameworks, which can learn the complex relationship between the wrapped phase, coherence, and amplitude images to perform better unwrapping than traditional signal processing methods. This research falls predominantly into segmentation- and regression-based unwrapping procedures. The regression-based methods have poor performance while segmentation-based frameworks, like the conventional U-Net, rely on a wrap count estimation strategy with very poor noise immunity. In this paper, we present a two-stage phase unwrapping deep neural network framework based on U-Net, which can jointly unwrap and denoise InSAR phase images. The experimental results demonstrate that our approach outperforms related work in the presence of phase noise and discontinuities with a root mean square error (RMSE) of an order of magnitude lower than the others. Our framework exhibits better noise immunity, with a low average RMSE of 0.11.

A molecular classification system for estimating radiotherapy response and anticancer immunity for individual breast cancer patients.

Radiotherapy is a cornerstone of breast cancer therapy, but radiotherapy resistance is a major clinical challenge. Herein, we show a molecular classification approach for estimating individual responses to radiotherapy. Consensus clustering was adopted to classify radiotherapy-sensitive and -resistant clusters in the TCGA-BRCA cohort based upon prognostic differentially expressed radiotherapy response-related genes (DERRGs). The stability of the classification was proven in the GSE58812 cohort via NTP method and the reliability was further verified by quantitative RT-PCR analyses of DERRGs. A Riskscore system was generated through Least absolute shrinkage and selection operator (LASSO) analysis, and verified in the GSE58812 and GSE17705. Treatment response and anticancer immunity were evaluated via multiple well-established computational approaches. We classified breast cancer patients as radiotherapy-sensitive and -resistant clusters, namely C1 and C2, also verified by quantitative RT-PCR analyses of DERRGs. Two clusters presented heterogeneous clinical traits, with poorer prognosis, older age, more advanced T, and more dead status in the C2. The C1 tumors had higher activity of reactive oxygen species and response to X-ray, proving better radiotherapeutic response. Stronger anticancer immunity was found in the C1 tumors that had rich immune cell infiltration, similar expression profiling to patients who responded to anti-PD-1, and activated immunogenic cell death and ferroptosis. The Riskscore was proposed for improving patient prognosis. High Riskscore samples had lower radiotherapeutic response and stronger DNA damage repair as well as poor anticancer immunity, while low Riskscore samples were more sensitive to docetaxel, doxorubicin, and paclitaxel. Our findings propose a novel radiotherapy response classification system based upon molecular profiles for estimating radiosensitivity for individual breast cancer patients, and elucidate a methodological advancement for synergy of radiotherapy with ICB.

Inclusion of nutritional counseling and mental health services in HIV/AIDS management: A paradigm shift.

Human immunodeficiency virus (HIV) infection is a public health challenge that can degenerate into acquired immunodeficiency syndrome (AIDS) if not properly managed. HIV infection shortens life expectancy to about 5 to 10 years compared to noninfected individuals. People living with HIV/AIDS (PLWHA) are prone to several health challenges as a result of a deranged immune system culminating in high morbidity and mortality. Depression is a common feature of PLWHA. Depression heightens the emergence of opportunistic infections in HIV-infected individuals, accelerates the progression to AIDS, and increased suicidal tendencies, morbidity, and mortality. Food insecurity with its resultant undernutrition contributes to HIV/AIDS-related deaths. Undernourished PLWHA are more prone to opportunistic infections due to poor immunity. Interestingly, proper diet intake can boost immunity, slow the progression of AIDS and opportunistic infections, enhance body weight, and retard depression tendencies. Undernutrition can also be ameliorated by incorporating nutritional counseling and oral nutrient supplementation in routine HIV/AIDS checkups. Therefore, to increase HIV/AIDS management outcomes, the integration of nutrition counseling, dietary supplements, and mental health services should be embraced. Thus, HIV/AIDS care centers should amplify these services. In this article, we isolated relevant studies from various databases, illuminated the interwoven relationship between HIV/AIDS, depression, and undernutrition, and also reemphasized the need for adequate nutritional intervention in the battle against HIV/AIDS. Thus, this study provides a reawakening call to focus on incorporating nutritional guides and mental health care in HIV/AIDS management protocols.

Network Analysis Reveals Unique Associations of Mindfulness and Distress with Immunity in Māori and Non-Māori New Zealanders

ObjectivesA healthy immune system is required to protect against viral infection and ensure the efficacy of vaccines. Psychological distress can threaten immune resilience, while mindfulness practices can be protective. In New Zealand, Māori experience significantly higher levels of distress compared to non-Māori. The aim of this study was to explore the role of ethnicity in the relations among immunity, depression, anxiety, stress, and mindfulness relate to each other.MethodNetwork analysis was used to explore unique relations among distress (depression, anxiety, stress), mindfulness facets, and immune status in matched (age, ranging from 19 to 88 years, sex, and self-classified socio-economic status) samples of Māori (n = 195) and non-Māori (n = 195) participants from New Zealand.ResultsThe networks of distress, mindfulness, and immune status were significantly different between Māori and non-Māori participants. The mindfulness facets Describe and Act with Awareness were more strongly positively linked in Māori, and Non-judge and Depression more strongly negatively linked in Māori, while Describe and Non-judge were more strongly positively linked in non-Māori. For both Māori and non-Māori, similarities included a negative link between anxiety and immune status, strong positive links between the distress variables, and positive links between the mindfulness facets of Non-judge and Act with Awareness, Observe and Non-React, and Observe and Describe.ConclusionsThese findings suggest that anxiety is strongly linked to poor immunity across both Māori and non-Māori in New Zealand while networks of mindfulness and distress also demonstrated differences unique for each of these groups. Both similarities and differences between Māori and non-Māori should be considered when developing targeted interventions to improve physical and mental health in New Zealand.PreregistrationThis study is not preregistered.

CRISPR Typing of Clinical Strains of Salmonella spp. Isolated in Tehran, Iran.

Salmonella is one of the most leading causes of food-born infection and death among infants and people with the poor immunity system. Because Salmonella spp. have diversity in the genome composition and pathogenicity, access to rapid identification and genotyping is necessary to control of salmonellosis. The CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) typing is a genotyping method that checks these variable sequences in the bacterial genome in a specific species. This study aimed to differentiate Salmonella strains using CRISPR region. Salmonella isolates, previously identified via standard microbiological and molecular tests, were subjected to the study. Bacterial DNA was extracted and PCR was done using specific primers. The different PCR products were sequenced and the repeats patterns were used to identify additional or degenerate repeat clusters in the CRISPR region. All different sequences were analyzed using CRISPRtionary tool for dendrogram generation using the binary file. Overall, 119 strains of various Salmonella serovars were used. The result showed unique CRISPR and diversity in spacer both in sequence and the number. Analysis of the extracted sequence and band patterns illustrated that, except for S. infantis, both S. enteritidis and S. typhimurium isolates were classified as a separate cluster. CRISPR genotyping could provide serotype/spacers dictionary and it is performed at low cost and high speed in comparison to the other typing methods. Therefore, the assessment of CRISPR and spacer content can be considered as a powerful and practical discriminatory method for subtyping of Salmonella isolates.

Large-signal Stability Analysis of Grid-connected DC Microgrid with VSC

The grid-connected DC microgrid under the background of high penetrations of renewable energy sources and high penetrations of inverter-interfaced devices has the characteristics of strong nonlinearity and poor immunity, which leads to the problems of large-scale voltage fluctuation and instability when the grid-connected DC microgrid suffers large disturbances, and it seriously influences the security and stable operation of the system. Therefore, a large disturbance stability criterion which is based on the mixed potential theory (MPT) for the DC microgrid model with a grid-connected voltage-source converter (VSC) is proposed. This paper also analyzes the mechanism of the conservatism of the stability criterion, verifies the accuracy of the large disturbance stability standard, and analyses the influencing elements and basic mechanism of the large-signal stability (LSS) of the nonlinear systems, which provides a benchmark to design the parameters of the control of VSC and main circuit. Finally, the effectiveness and accuracy of the analysis are verified by electromagnetic transient simulation.

Comparative evaluation of cell-mediated immune response in calves immunized with live-attenuated and killed Theileria annulata vaccines.

Tropical theileriosis is a tick-borne disease caused by the protozoan Theileria annulata and transmitted by numerous species of Ixodid ticks of the genus Hyalomma. The main clinical signs are fever, lymphadenopathy, and anemia responsible for heavy economic losses, including mortality, morbidity, vaccination failure, and treatment cost. Development of poor cell-mediated immunity (CMI) has been observed in the case of many bovine pathogens (bacteria, viruses, and parasites). Quantification of CMI is a prerequisite for evaluating vaccine efficacy against theileriosis caused by T. annulata. The current study evaluated the CMI in calves administered with two types of T. annulata vaccine (live attenuated and killed). We prepared a live attenuated T. annulata vaccine by attenuation in a rabbit model and also prepared killed vaccine from non-attenuated T. annulata. For the evaluation of immune response in experimental groups including control, 20 calves were divided into four different groups (A, B, C, and D). They were either inoculated subcutaneously with live rabbit-propagated-Theileria-infected RBCs (5 × 106) (group A) or with killed T. annulata vaccine (2 × 109 schizonts) with Freund's adjuvant (group B), along with an infected group (group C) and a healthy control group (group D). The protection of vaccinated calves was estimated with challenge infection. Our results showed that with a single shot of live-attenuated and killed vaccine with a booster dose elicited cell-mediated immune responses in immunized calves. We observed a significant elevation in CD4 + and CD8 + T cells in immunized calves. A significant difference in the CD8 + T cell response between the post-challenge stage of killed and live vaccine (p < 0.0001) was observed, whereas no other difference was found at both pre- and post-immunization stages. A similar finding was recorded for the CD4 + T cells at a post-challenge stage, where a significant difference was seen between killed and live vaccine (p < 0.0001). Another significant difference was observed between the CD8 + T cells and CD4 + T cells at the post-challenge stage in the live vaccine group, where there was a significantly higher induction of CD4 + T cell response (p < 0.0001).

Adaptive scale chirplet transform and its application to bearing fault analysis

In response to the problems of biased estimation of instantaneous frequency (If) and poor noise immunity in current time–frequency (Tf) analysis methods, the adaptive scale chirplet transform (ASCT) is proposed in this paper. The core idea of the proposed algorithm is to use a frequency-dependent quadratic polynomial kernel function to approximate the IF of the signal and to use the time-varying window length to overcome the frequency resolution problem due to the change in signal modulation. This method can dynamically select suitable parameters and overcome the disadvantage of unfocused energy of TF distribution. The experimental results show that the ASCT algorithm has high TF aggregation and can suppress noise interference well. In practical signal processing, the advantage of the ASCT algorithm is that it can accurately depict the characteristic frequency of the signal and detect the fault in the bearing signal. Both simulation and experimental results prove the strong realistic relevance of this algorithm.