Background: The aryl hydrocarbon receptor (AhR) is a ligand-activated transcription factor historically recognized for its role in the regulation of toxicity mediated by environmental chemicals. Recent research points to AhR's critical participation in male reproductive physiology, particularly in spermatogenesis, hormone signaling, and the maintenance of sperm quality. Both endogenous ligands (e.g., dietary and gut microbiota-derived metabolites) and exogenous pollutants (e.g., dioxins and benzo-α-pyrene) influence AhR-mediated pathways, making it a key link between environmental exposures and male fertility. Results: This review highlights AhR's influence on the male reproductive system, emphasizing the role of endogenous AhR ligands and AhR expression in the maturation and function of male reproductive organs. Environmental AhR agonists have been shown to induce oxidative stress, hormonal imbalance, and sperm DNA damage, which impact harmfully on the spermatogenesis process, which leads to reproductive abnormalities. Conversely, certain natural compounds such as resveratrol, curcumin, and lycopene appear to antagonize AhR activation and reduce its negative effects, thus offering potential protective benefits against male reproductive toxicity. Nevertheless, discrepancies persist regarding the exact interplay between AhR signaling and critical reproductive hormones such as testosterone and LH, and it remains unclear how transgenerational epigenetic changes triggered by AhR activation might affect long-term male fertility. Conclusion: AhR is pivotal in male reproductive physiology, influencing spermatogenesis, sperm quality, and hormone regulation through its interactions with both endogenous and environmental ligands. Persistent pollutants such as dioxins and polycyclic aromatic hydrocarbons cause oxidative damage and hormonal disturbances via AhR, contributing to reduced sperm quality and fertility.
This study was aimed to explore the impact of a practical program on supporting and reducing
symptoms of school bulling victims in a sample of student in the sixth grade. The study sample consisted of (18)
students that have been chosen from two schools (Al-Abass and Alataa’) it was an intended sample, because
there were enough student with high scores in bulling victims diagnostics test, the sample was divided into two
groups: the control group of (9) student from (Alataa’) school, and the experimental group consisted of (9)
student from Alabass) school keeping in mind to keep the two groups equivalent in maintaining equal controls.
The researcher applied the practical program which is based on cognitive behavioral
The research aims to shed light on the role of artificial intelligence in achieving Ambidexterity performance, as banks work to take advantage of modern technologies, artificial intelligence is an innovation that is expected to have a long-term impact, as well as banks can improve the quality of their services and analyze data to ensure that customers' future needs are understood. . The Bank of Baghdad and the Middle East Bank were chosen as a community for the study because they had a role in the economic development of the country as well as their active role in the banking market. A sample of department managers was highlighted in collecting data and extracting results based on the checklist, which is the main tool for the stu
... Show MoreBackground; paraphilias were studied in the sex
clinic, at Al-Rashad teaching mental hospital, in the
years 2009-2010, a subject never touched before in the
field of psychiatry in Iraq.
Aims of the study :
1-to identify the prevalence of types and number of
paraphilias in those patients.
2-to study the relationship of paraphilias with
sociodemographic factors of the patients.
Patients and methods; using the diagnostic criteria of
DSM IV TR, 52 patients from the outpatient sex clinic
at Al-Rashad mental hospital, collected and studied (41
males and 11 females).
Results; the ratio of men to women was 3.7 : 1, the
majority of our sample was in the age range of 21-30
years (36.35%), with a limited
Abstract
For sparse system identification,recent suggested algorithms are
-norm Least Mean Square (
-LMS), Zero-Attracting LMS (ZA-LMS), Reweighted Zero-Attracting LMS (RZA-LMS), and p-norm LMS (p-LMS) algorithms, that have modified the cost function of the conventional LMS algorithm by adding a constraint of coefficients sparsity. And so, the proposed algorithms are named
-ZA-LMS,
In this research the performance of 5G mobile system is evaluated through the Ergodic capacity metric. Today, in any wireless communication system, many parameters have a significant role on system performance. Three main parameters are of concern here; the source power, number of antennas, and transmitter-receiver distance. User equipment’s (UEs) with equal and non-equal powers are used to evaluate the system performance in addition to using different antenna techniques to demonstrate the differences between SISO, MIMO, and massive MIMO. Using two mobile stations (MS) with different distances from the base station (BS), resulted in showing how using massive MIMO system will improve the performance than the standar
... Show MoreRationing is a commonly used solution for shortages of resources and goods that are vital for the citizens of a country. This paper identifies some common approaches and policies used in rationing as well asrisks that associated to suggesta system for rationing fuelwhichcan work efficiently. Subsequently, addressing all possible security risks and their solutions. The system should theoretically be applicable in emergency situations, requiring less than three months to implement at a low cost and minimal changes to infrastructure.