Medicinal, Psychological, and Health Research Journal (MPHRJ)

Abstract The use of injectable fillers in aesthetic medicine has gained significant popularity for facial rejuvenation and contouring. A crucial factor in achieving optimal results lies in understanding the patient’s unique facial shape, as it influences filler selection, injection technique, and treatment goals. This review explores the classification of facial shapes—commonly categorized as oval, round, square, heart, and diamond—and their implications for planning injectable filler treatments. Each facial shape presents distinct anatomical features and aesthetic challenges that must be addressed to restore harmony and balance. For example, oval faces typically require subtle volumization to maintain natural contours, while square faces may benefit from softening the jawline. Treatment strategies are tailored to enhance facial proportions, improve symmetry, and correct age-related volume loss. The integration of facial shape analysis with patient-specific factors such as skin quality, bone structure, and aging patterns facilitates a personalized approach to filler application. Additionally, understanding facial shape helps in predicting potential complications and managing patient expectations. This paper emphasizes the importance of a comprehensive facial assessment and individualized treatment planning to maximize the efficacy and safety of injectable fillers. By aligning treatment techniques with facial morphology, clinicians can achieve more natural, balanced, and aesthetically pleasing outcomes, ultimately enhancing patient satisfaction.

Abstract Structural facial rejuvenation with dermal fillers has become a cornerstone in non-surgical aesthetic treatments, particularly for women seeking natural, youthful, and harmonious facial contours. This approach focuses on restoring volume loss and supporting the underlying facial architecture rather than simply filling superficial wrinkles. By targeting key structural areas such as the midface, cheeks, jawline, and temples, practitioners can effectively counteract the effects of aging, including soft tissue descent, bone resorption, and fat compartment atrophy. The use of hyaluronic acid-based fillers and calcium hydroxylapatite has demonstrated safety, biocompatibility, and long-lasting outcomes in volumizing and lifting facial tissues. This method emphasizes a comprehensive understanding of facial anatomy, aging dynamics, and individualized treatment planning to achieve balanced and natural-looking results. Moreover, recent advances in imaging technologies and injection techniques have enhanced precision and minimized risks such as vascular complications and irregularities. Clinical studies support the efficacy of structural rejuvenation, reporting high patient satisfaction and improved facial aesthetics. However, successful outcomes require skilled assessment, tailored protocols, and an integrative approach combining filler use with other modalities when necessary. This article reviews current concepts, materials, and procedural strategies for structural facial rejuvenation in women, highlighting the importance of a holistic and anatomically informed technique to restore youthful facial contours safely and effectively.

Abstract The main aim of this study is to investigate the relationship between emotional intelligence and psychological factors including creativity, mental health, psychological resilience and work motivation in employees of educational systems. This study was conducted using a descriptive-correlation method and standard questionnaires on a sample of 350 educational employees. The findings of the study showed that there is a positive and significant relationship between emotional intelligence and each of the variables of creativity, mental health, resilience and work motivation. Also, multiple regression analysis showed that different components of emotional intelligence (intrapersonal, interpersonal, stress management, adaptability and general mood) are able to predict levels of creativity and mental health. The results of structural equation analysis also supported the favorable fit of the conceptual model of the study. These results emphasize the importance of emotional intelligence as a key factor in improving the quality of psychological and job performance of employees. Accordingly, designing educational programs and interventions to strengthen emotional intelligence can play an effective role in improving the work environment and promoting the educational system.

Abstract Abstract

Colorectal cancer (CRC) remains one of the most prevalent and deadly cancers worldwide, with early detection being critical for improving patient survival and reducing treatment costs. Traditional diagnostic methods, such as colonoscopy and histopathology, are effective but have limitations, including operator dependency, time consumption, and potential oversight of early-stage lesions. Recent advancements in artificial intelligence (AI), particularly machine learning and deep learning, have opened new avenues for the early detection of CRC. AI-powered tools have demonstrated high accuracy in real-time polyp detection during colonoscopy, automated histological classification, and analysis of radiological and molecular data. These technologies promise not only enhanced diagnostic precision but also the potential for personalized screening strategies based on patient-specific risk profiles. Despite these advancements, challenges remain regarding data standardization, regulatory approval, clinical integration, and algorithm transparency. This review explores current applications of AI in CRC screening and outlines future prospects, emphasizing the transformative role of AI in revolutionizing cancer diagnostics. By overcoming existing barriers, AI can significantly contribute to reducing global CRC burden through earlier, more accurate, and more accessible detection methods.