The aim of present study was to assess the prevalence of Helicobacter pylori infection in Dak Lak province patients with advanced gastric cancer, and to identify factors that may affect the detection of H.pylori in patients with gastric cancer. 56 patients with advanced gastric cancer were treated by gastrectomy. For the detection of H.pylori, both biosy specimens and sera were collected from the patients. A strong association was shown between H.pylori and both intestinal and diffuse type gastric cancer. Antibiotic intake in the month before operation, the site of collection of biopsy specimens, and tumor size were indentified as factors that may reduce the CLO test. These data provide supporting evidence of the prevalence of H.pylori infection in gastric cancer and indicate that, in certain circumstances. CLO test evaluation of H.pylori infection in gastric cancer cases may be less reliable than serological evaluation.
Helicobacter pylori ; Infection ; Stomach Neoplasms

Ultrasonic computed tomography based on back scattering theory is the most powerful and accurate tool in ultrasound based imaging approaches because it is capable of providing quantitative information about the imaged target and detects very small targets. The duple-frequency distorted Born iterative method (DF–DBIM), which uses density information along with sound contrast for imaging, is a promising approach for imaging targets at the level of biological tissues. With two frequencies f₁ (low) and f₂ (high) through Nf₁ and Nf₂ iterations respectively, this method is used to estimate target density along with sound contrast. The implications of duple-frequency fusion for the image reconstruction quality of density information along with sound contrast based ultrasound tomography have been analyzed in this paper. In this paper, we concentrate on the selection of parameters that is supposed to be the best to improve the reconstruction quality of ultrasound tomography. When there are restraints imposed on simulated scenarios to have control of the computational cost, the iteration number Nf₁ is determined resulting in giving the best performance. The DF–DBIM is only effective if there are a moderate number of iterations, transmitters and receivers. In case that the number of transducers is either too large or too small, a result of reconstruction which is better than that of the single frequency approach is not produced by the implementation of DF–DBIM. A fixed sum N(iter) of Nf₁ and Nf₂ was given, the investigation of simulation results shows that the best value of Nf₁ is [N(iter)/2 − 1]. The error, when applying this way of choosing the parameters, will be normalized with the reduction of 56.11%, compared to use single frequency as used in the conventional DBIM method. The target density along with sound contrast is used to image targets in this paper. It is a fact that low-frequency offers fine convergence, and high-frequency offers fine spatial resolution. Wherefore, this technique can effectively expand DBIM's applicability to the problem of biological tissue reconstruction. Thanks to the usage of empirical data, this work will be further developed prior to its application in reality.
Image Processing, Computer-Assisted ; Methods ; Transducers ; Ultrasonics ; Ultrasonography

Objectives: The prevalence of posttraumatic stress disorder (PTSD) has increased, particularly among individuals who have recovered from coronavirus disease 2019 (COVID-19) infection. Health literacy is considered a “social vaccine” that helps people respond effectively to the pandemic. We aimed to investigate the association between long COVID-19 and PTSD, and to examine the modifying role of health literacy in this association. Methods: A cross-sectional study was conducted at 18 hospitals and health centers in Vietnamfrom December 2021 to October 2022. We recruited 4,463 individuals who had recovered from COVID-19 infection for at least 4 weeks. Participants provided information about their sociodemographics, clinical parameters, health-related behaviors, health literacy (usingthe 12-item short-form health literacy scale), long COVID-19 symptoms and PTSD (Impact Event Scale-Revised score of 33 or higher). Logistic regression models were used to examine associations and interactions. Results: Out of the study sample, 55.9% had long COVID-19 symptoms, and 49.6% had PTSD.Individuals with long COVID-19 symptoms had a higher likelihood of PTSD (odds ratio [OR], 1.86; 95% confidence interval [CI], 1.63–2.12; p < 0.001). Higher health literacy was associated with a lower likelihood of PTSD (OR, 0.98; 95% CI, 0.97–0.99; p = 0.001). Compared to those without long COVID-19 symptoms and the lowest health literacy score, those with long COVID-19 symptoms and a 1-point health literacy increment had a 3% lower likelihood of PTSD (OR, 0.97; 95% CI, 0.96–0.99; p = 0.001). Conclusion Health literacy was found to be a protective factor against PTSD and modified the negative impact of long COVID-19 symptoms on PTSD.

The COVID-19 pandemic outbreak and subsequent lockdowns impacted the mental health of numerous sociodemographic groups globally. This crisis can produce stress, overwhelm, and powerful emotions in susceptible people, especially older persons. Our study examined the relationship between well-being and fear of COVID-19 among older persons residing in Ho Chi Minh City, Vietnam, during the pandemic. A sociodemographic survey was undertaken. Two scales are used for a month of the COVID-19 outbreak: the Mental Health Continuum Short Form (MHC-SF) and the Fear of COVID-19 Scale (FCV-19S). We surveyed 158 senior citizens in Ho Chi Minh City between February and April 2021. There was no lockdown in Ho Chi Minh before the fourth wave of infection. Despite this, citizens have maintained high compliance with coronavirus prophylaxis. Sociodemographic data were described using descriptive statistics. A one-way MANOVA assessed the financial impact on older individuals' well-being. The Pearson correlation was employed to find the link between happiness and COVID-19 dread. During the COVID-19 pandemic, older persons who received various monthly allowances had statistically significant emotional and psychological well-being differences. There was no association between well-being and COVID-19 dread. The COVID-19 epidemic has disproportionately affected vulnerable groups. Older individuals are a risk population that requires material and mental care.