This study was conducted at the Thalassemia Center of Azadi Educational Hospital, Kirkuk Health Directorate, Iraq, from June 1, 2024, to October 1, 2024. The study sample included 75 individuals, both males and females, aged between 4 and 67 years, divided into two groups: the first group comprised 50 thalassemia patients, while the control group included 25 healthy individuals. The results indicated a significant effect of thalassemia on the studied variables, as the disease led to increased levels of white blood cells, erythrocyte sedimentation rate, total iron-binding capacity, malondialdehyde, iron concentration, and lipoxygenase enzyme, recording values of 10.9 × 103 cells/mL, 25.36%, 321.84 µg/dL, 721.12 mmol/L, 2788.9 ng/dL, and 226.2 IU/L, respectively. In contrast, thalassemia reduced hemoglobin levels to 8.57 g/L. The gender category significantly affected both malondialdehyde and iron concentrations, while the age category significantly impacted white blood cell levels, total iron-binding capacity, serum iron, and lipoxygenase enzyme. Among the interactions, the most influential factor was found in the group of female patients over 30 years old, who recorded the highest significant concentrations of white blood cells and malondialdehyde, reaching 12.26 × 103 cells/mL and 1090 mmol/L. Conversely, female patients under 15 years showed the highest significant averages for the percentage of erythrocyte sedimentation rate and iron concentration, at 28% and 3270 ng/dL, respectively. Meanwhile, female patients aged 15-30 years exhibited the highest significant concentrations for total iron-binding capacity and lipoxygenase enzyme, at 361.8 µg/dL and 234 IU/L, respectively. Male patients aged 15-30 years recorded the lowest significant hemoglobin concentration, which was 7.33 g/L.

Masculinity is a social construct often internalized in society through various forms, including literary works. This study aims to analyze the representation of masculinity in Boy Candra's novel Trauma, particularly through male characters interacting with the protagonist, Kimara. This research employs the approaches of literary sociology, gender theory, and trauma theory to understand how masculinity is depicted. Data were collected through a critical reading technique applied to the novel's text. The analysis reveals that masculinity is represented in various forms, ranging from emotional dominance to expressions of affection, as well as the influence of trauma in shaping gender dynamics. These findings emphasize that masculinity in Trauma is not an innate trait but a social construct influenced by emotional and social contexts. The study contributes to gender studies and Indonesian literature, while also enhancing readers’ understanding of the complexity of masculinity in literary works.

Digital transformation has driven companies to enhance supply chain efficiency and resilience through innovative technologies. However, challenges such as a lack of transparency, low efficiency, and risks of operational disruptions remain significant barriers in Supplier Relationship Management (SRM). This study aims to explore the role of blockchain technology in improving transparency, trust, and supply chain resilience. Using a qualitative case study approach, data were collected through in-depth interviews with supply chain managers from three companies in Indonesia and supporting document analysis. The findings reveal that blockchain implementation enhances operational efficiency by up to 35%, reducing the average process cycle time from 10 days to 6 days. Additionally, transparency levels increased by 40%, reflected in the ability of supply chain participants to monitor information flow in real time. Trust among stakeholders also improved by 25%, attributed to encrypted data security and immutable transaction records. These findings confirm that blockchain strengthens supply chain resilience through three main dimensions: response, recovery, and adaptation. The contribution of this research lies in enriching the literature on the role of blockchain in SRM, particularly in the context of supply chain resilience. Furthermore, the results provide practical guidance for companies in designing blockchain implementation strategies to mitigate operational risks and enhance stakeholder collaboration

According to the term, waqf is the holding of assets whose benefits are taken without being destroyed immediately for permissible use and is intended to obtain the blessing of Allah SWT. This study aims to analyze the management of waqf at the Indonesian Waqf Tabung institution in the waqf fund model and the programs implemented with benefits to various fields. This research uses qualitative research methods. The data used consists of primary data and secondary data obtained through observation and pre-existing literature or research. The research results show that the waqf management at Tabung Waqf Indonesia is in accordance with Islamic law, can run programs well and is invested in various forms of business with surplus proceeds being used for social programs, and the management of the waqf has had positive implications in improving the community's economy. This research contributes to the development of studies related to waqf management at the Indonesian Tabung Waqf institution in the waqf fund model and the programs implemented with a more detailed explanation along with their relationship to benefits in the fields of health, education, economics and social development.

This study conducts a pragmatic analysis of the dialogue between characters in Ernest Hemingway's "The Old Man and the Sea," utilizing Grice's Cooperative Principle as a theoretical framework. By examining the interactions between Santiago and Manolin, the research highlights how conversational maxims: Quality, Quantity, Relation, and Manner shape their communication. The analysis reveals that while both characters generally adhere to these principles, occasional deviations occur, reflecting their emotional connections and the complexities of their relationship. This investigation not only enhances understanding of the characters' dynamics but also underscores the broader implications of pragmatic theory in literary dialogue. Ultimately, the findings demonstrate that effective communication transcends mere information exchange, emphasizing the importance of fostering relationships and emotional understanding in human interactions.
 

The increasing sophistication of cyber threats has outpaced the capabilities of traditional detection and response systems, necessitating the adoption of advanced machine learning architectures. This study investigates the application of Transformer-based models in cybersecurity, focusing on their ability to enhance threat detection and response. Leveraging publicly available datasets, including CICIDS 2017 and UNSW-NB15, the research employs a systematic methodology encompassing data preprocessing, model optimization, and comparative performance evaluation. The Transformer model, tailored for cybersecurity, integrates self-attention mechanisms and positional encoding to capture complex dependencies in network traffic data. The experimental results reveal that the proposed model achieves an accuracy of 97.8%, outperforming conventional methods such as Random Forest (92.3%) and deep learning approaches like CNN (94.1%) and LSTM (95.6%). Additionally, the Transformer demonstrates high detection rates across diverse attack types, with rates exceeding 98% for Denial of Service and Brute Force attacks. Attention heatmaps provide valuable insights into feature importance, enhancing the interpretability of the model’s decisions. Scalability tests confirm the model’s ability to handle large datasets efficiently, positioning it as a robust solution for dynamic cybersecurity environments. This research contributes to the field by demonstrating the feasibility and advantages of employing Transformer architectures for complex threat detection tasks. The findings have significant implications for developing scalable, interpretable, and adaptive cybersecurity systems. Future studies should explore lightweight Transformer variants and evaluate the model in operational environments to address practical deployment challenges.

This study aims to determine and analyze the effect of job expectations, perceptions, personal characteristics on student interest in choosing an accounting major at Tadulako University. This type of research uses descriptive quantitative,. Data collection methods by distributing questionnaires to respondents. The population of this study amounted to 225 active students of class 2021 and 252 active students of class 2022, the number of samples taken was 82 respondents. The analysis method used is multiple linear regression method with the help of SPSS for windows version 25.0. The results showed that work expectations affect student interest in choosing an accounting major, perceptions have no effect on student interest in choosing an accounting major, personal characteristics affect student interest in choosing an accounting major.

This research aims to analyze the sustainability strategy implemented by PT Aspirasi Hidup Indonesia Tbk in the face of evolving market trends and consumer preferences. The main issue raised is the importance of adaptation to market changes and increasing the company's commitment to social responsibility. The main problem studied is the reason why Kawan Lama Group has changed the name of ACE Indonesia to PT Aspirasi Hidup Indonesia Tbk (AHI) (ACES) which was agreed at the Extraordinary General Meeting of Shareholders (EGMS) on June 7, 2024. This study aims to analyze the effect of Debt to Equity Ratio (DER) on Return on Equity (ROE) at PT Aspirasi Hidup Indonesia Tbk for the period 2019-2023. This research method uses a quantitative approach with descriptive research type.  The data was analyzed using Statistical Product and Service Solution (SPSS) Version 25 software. The analysis method includes Normality Test, Autocorrelation Test, and t Test (Partial Test). The results of this study are expected to provide insight into the impact of corporate funding decisions on the resulting profitability. Debt To Equity Ratio partially has no effect and is insignificant to Return On Equity where the tcount < ttable value is 1.802 < 2.30600 and a significant value of 0.169.
 
 

Learning motivation plays a significant role for students. This motivation increases students’ interest in completing learning activities. When students are motivated by their environment and themselves, their learning outcomes also improve. The methods used in community service activities (PKM) are influenced by various factors, such as monotonous teaching methods, lack of teacher support, and the influence of technology. PKM uses interactive lecture methods that utilize media, discussions, and Q&A sessions to increase students’ learning motivation. This highlights the importance of motivation to support oneself in achieving goals and becoming a better individual.
This community service aims to increase the learning motivation of students at SMKN 6 Serang cities, as motivation is one of the factors that influence students’ success. When someone is motivated to learn, they will achieve the desired learning outcomes. Motivation acts as a driving force to achieve good results. People engage in activities because they have motives. High learning motivation will yield optimal results. This activity aims to prepare students as participants who, based on their respective skills, can face challenges in starting their careers.

The management of service centers at the Indonesian Rede Cross (PMI) in East Jakarta is still conducted manually, which slows down service processes and increases the likelihood of data processing erorrs. This research aims to design a Java-based application to automate patient registration, admission, handling, emergency services, available ambulance data, and the preparation of reports as quickly as possible. The application was developed using the Java programming language with a prototype model approach in software development. Testing results indicate that this application successfully enhances the efficiency and accuracy of PMI East Jakarta’s operations, particularly in managing data related to patients, actions, personnel, and ambulance availability. It is hoped that this application can be integrated with other PMI regions to establish a more structured and connected service management system.