مطالب

Early cancer detection is crucial for improving patient survival rates, as timely intervention greatly enhances treatment efficacy. One promising method for early detection is identifying cancerous cells through the detection of protein-level modifications, which serve as early indicators of malignancy. These protein modifications often result from complex biochemical processes that occurs before visible cellular abnormalities, making them critical targets for diagnostic technologies. In recent years, wireless biomedical sensors have advanced significantly, enabling precisely detecting these protein-level changes. These sensors have the potential to detect cancer at its earliest stages by monitoring the subtle alterations in protein structures and functions that distinguish healthy cells from cancerous ones. As the costs of genetic analysis continue to decrease, the development of Medical Internet of Things (MIoT) devices has become increasingly feasible. These devices are designed to perform real-time analyses of biological specimens—such as blood and urine—by detecting protein-level changes indicative of cancer. In this paper, a new machine learning method based on Extreme Randomized Trees (ERT) is developed to increase the speed of classification of cancerous cells based on single-cell Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq). The proposed method enhances the classification speed of the limited and noisy ATAC-seq data as it requires less computation to determine the best splits at each node of the decision trees. This method can significantly improve near real-time cancer risk assessment using samples collected by MIoT. Our proposed method achieves classification accuracy comparable to state of the art single-cell ATAC-seq data analysis techniques while reducing processing time by 259%, challenged by various low-data scenarios. This approach presents an efficient solution for rapid cancer monitoring within the MIoT framework.

Objective: The objective of this study was to evaluate the effectiveness of Acceptance and Commitment Therapy (ACT) on the psychological well-being of couples referring to the Dispute Resolution Council in Omidiyeh County. Methods: This study employed a quasi-experimental design with a pre-test, post-test, and control group, along with a 45-day follow-up period. The statistical population consisted of couples who referred to the Dispute Resolution Council in Omidiyeh County in 2021. In the initial phase, a purposive sampling method was used to select 30 participants. These individuals were chosen from among those who had been engaged or married for four or five years, expressed a desire for separation, and had sought assistance from the Dispute Resolution Council. They were randomly assigned to either the experimental group or the control group. The experimental group underwent eight sessions of Acceptance and Commitment Therapy, while the control group received no intervention and remained on a waiting list. Findings: The mean age in the ACT group was 33.31 ± 5 years, in the solution-focused approach group was 32.50 ± 3.72 years, and in the control group was 33.68 ± 5.04 years. The results of the mixed-design analysis of variance indicated that the intervention had a statistically significant effect on the dimensions of psychological well-being in the post-test and follow-up stages compared to the control group (p < .05). Furthermore, the results of the Bonferroni post hoc test demonstrated that Acceptance and Commitment Therapy was more effective in improving conflict resolution styles (p < .05). Conclusion: Acceptance and Commitment Therapy can be considered an effective approach for reducing problems arising from marital conflicts among individuals referring to the Dispute Resolution Council.

The working class in contemporary Iran has faced many problems and limitations in the polit-ical sphere for various reasons, including absolute authoritarian rule and the absence of politi-cal openness. Although from 1941 through 1953, like many other sectors of civil society, the working class also found a suitable breathing space, after the coup of August 19, 1953, the labor movement was once again suppressed. During the victory of the Islamic Revolution, the working class played a significant role in overthrowing the Pahlavi regime by participating in widespread and paralyzing strikes. It contributed greatly to the establishment and consolida-tion of the Islamic system. The present research aims to understand the interactions and polit-ical behavior of the working class in the Islamic Republic of Iran. Thus, the question arises as to what behavior the workers exhibited within the framework of the Islamic Republic system. The research hypothesis is that in recent decades, Iranian workers, influenced by various fac-tors, have tended towards legal political participation and did not have revolutionary and anti-system tendencies contrary to Marxist-Leninist ideology. In this study, we will examine the subject using a descriptive-analytical method and a historical approach.