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1865 research outputs found
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The relationship of depression and quality of life with mediating role of death anxiety, silver lining and religious coping among women cancer patients in Pakistan
No full textObjective: Pakistani women are among those most likely to be diagnosed with cancer. Cancer patients experience significant changes that impact their mental and physical health, primarily due to the increased burden of the disease. This study aims to explore the relationship between depression and quality of life (QOL) in cancer patients, as well as how religious coping (RC), silver lining (SL), and death anxiety (DA) influence this connection.
Materials and methods: A total of 450 individuals diagnosed with cancer were recruited from outpatient departments of various hospitals in Islamabad. Out of these, 421 patients who met the inclusion criteria were included in the study. Three types of cancer were considered for data collection there was 132 (31.4%) breast cancer, 154 (36.6%) blood cancer and 135 (32.1%) lung cancer patients Participants were assessed using the following measurement tools: the Demographic Form, The Short Muslim Religious Practice and Religious Belief, the Patient Health Questionnaire (PHQ-9, 2011), the Death Anxiety Scale, the Silver Lining Questionnaire, and the WHOQOL-BREF Questionnaire.
Results: The findings of the current study revealed a negative association between depression and quality of life (QOL). Additionally, death anxiety (DA) was positively correlated with both depression and QOL. Conversely, silver lining (SL) and religious coping (RC) were negatively associated with depression and positively associated with QOL. Path analysis indicated that DA, SL, and RC served as mediators in the relationship between depression and QOL among cancer patients.
Conclusion: The study concluded that cancer patients can better manage their depression and enhance their quality of life by strengthening their silver lining (SL) and religious coping (RC). These findings should be considered when developing strategies to manage depression and other psychological issues in cancer patients, thereby providing more effective treatments for this populationN
Investigating the relationship between financial inclusion and CO2 emissions in G20 countries: a quantile-on-quantile approach
No full textNA
No full textBackground
Dissociation, involving disruptions in cognition, perception, and identity, is closely linked to trauma and various psychiatric disorders but remains underrecognized, especially in non-Western contexts. Although tools like the Dissociative Symptoms Scale—Brief (DSS—B) have improved assessment, validated Arabic-language versions are lacking. Given rising mental health concerns and limited resources in the Arab world, this study aims to evaluate the psychometric properties of the Arabic-translated DSS—B to support culturally appropriate diagnosis and research on dissociation.
Methods
In this cross-sectional study, participants from KSA, Egypt, Lebanon, Palestine, and Jordan were recruited via snowball sampling and completed an online survey. The DSS—B was translated into Arabic using a forward-backward method and reviewed by experts for cultural and semantic accuracy. Participants also completed validated Arabic versions of the Jong-Gierveld Loneliness Scale, Patient Health Questionnaire-4, and the Brief Irritability Test.
Results
Among 1494 participants (mean age = 24.97; 74.5% female), Palestinians showed the highest dissociative symptoms. Confirmatory factor analysis confirmed good model fit, excellent reliability (ω = 0.93; α = 0.92), and strong convergent validity average variance extracted (AVE = 0.70). Measurement invariance across genders and countries was supported, with no significant gender differences in scores. Dissociation was positively correlated with depression-anxiety (r = 0.57), irritability (r = 0.51), and loneliness (r = 0.45), confirming concurrent validity, while discriminant validity was also established.
Conclusion
This study validates the Arabic DSS—B as a reliable, valid, and culturally adaptable tool for assessing dissociation in Arab populations, reinforcing its clinical and research utility. Future research should explore its generalizability in underrepresented groups, use longitudinal and clinician-based assessments, and investigate neurobiological underpinnings to deepen understanding and application of dissociation measurement globally.N
Ensuring Sustainable Safety in Fine-Grained Android Permission Model: Decidability through Finite Attribute Range Constraints
No full textWhen Android was first introduced, it permitted unrestricted access to all installed applications, posing significant security risks. In one of our previous works, we proposed, implemented, and demonstrated a comprehensive model capable of restricting access to sensitive permissions based on granular constraints. This model was partially adopted by Android and is now a standard feature in all modern Android-based systems. However, the flexibility of this model introduces a critical issue: the safety of the model. A model’s safety determines whether the policies enforced by the model achieve the desired security goals. In this paper, we investigate the safety and undecidability problems associated with the model and demonstrate that, in its full form, the model is undecidable. To ensure creation and maintenance of sustainable security policies at both the individual and enterprise level, we propose the addition of a Finite Attribute Range Constraint, which renders the model both decidable and safe
Cross-cultural data on romantic love and mate preferences from 117,293 participants across 175 countries.
No full textPsychological studies on close relationships have often overlooked cultural diversity, dynamic processes, and potentially universal principles that shape intimate partnerships. To address the limited generalizability of previous research and advance our understanding of romantic love experiences, mate preferences, and physical attractiveness, we conducted a large-scale cross-cultural survey study on these topics. A total of 404 researchers collected data in 45 languages from April to August 2021, involving 117,293 participants from 175 countries. Aside from standard demographic questions, the survey included valuable information on variables relevant to romantic relationships: intimate, passionate, and committed love within romantic relationships, physical-attractiveness enhancing behaviors, gender equality endorsement, collectivistic attitudes, personal history of pathogenic diseases, relationship quality, jealousy, personal involvement in sexual and/or emotional infidelity, relational mobility, mate preferences, and acceptance of sugar relationships. The resulting dataset provides a rich resource for investigating patterns within, and associations across, a broad range of variables relevant to romantic relationships, with extensive opportunities to analyze individual experiences worldwide.N
Mind Games as therapeutic intervention for Procrastination among University students
No full textThis study aimed to examine the effect of a cognitive training program based on the Dual N Back task in improving working memory and attention and reducing academic procrastination in college students. The study adopted a quasi-experimental design with a single-group pretest/post-test methodology. Eight college students participated in the training over a specified period and were assessed using measures of working memory (Digit Span, letter and number sequencing, and N-Back difficulty), attention (symbol search task), and academic procrastination. Statistical analyses using paired samples t-tests showed no statistically significant improvement in most measures of working memory after the intervention. Slight increases were observed in some scores, particularly in the letter and number sequencing test, but they did not reach the level of significance. However, a significant improvement was observed in the symbol search task (p = .011), suggesting an improvement in visual processing speed and selective attention after training. Although a decrease in scores was observed after the intervention, this decrease did not achieve statistical significance (p = 0.068). Pearson correlation analyses also revealed that there was no statistically significant relationship between memory or attention performance after the intervention and levels of academic procrastination. Overall, the results suggest that improving working memory, attention, through Dual N-Back training may not be sufficient to significantly reduce academic procrastination behaviors
Marina International Port Terminal
No full textThis graduation project focuses on the interior design of a cruise terminal that combines functionality, aesthetics, and passenger experience. The study examines global precedents, user needs, and human factors to develop a design that enhances circulation, safety, and comfort. The project integrates innovative spatial planning, branding, and sustainability strategies to create a dynamic environment that reflects both cultural identity and modern design standards. The outcomes demonstrate how thoughtful design can transform a terminal into an engaging public space that supports tourism and economic growth
Validation of the Arabic version of the Gratitude Questionnaire (GQ-4) in a sample of non-clinical adults.
No full textAlthough gratitude is a culturally-sensitive construct, it has yet received limited research attention in Arab countries, hence hindering the understanding of its features, correlates, and cross-cultural specificities. To fill this gap, we sought to examine the psychometric properties of an Arabic translation of the 6-item Gratitude Questionnaire (GQ) in an Arabic-speaking sample of adults from the general population of Lebanon.We conducted a web-based survey including 601 participants (mean age 29.91 ± 12.61, 62.7% females). The forward-backward translation method was used for the translation and adaptation of the GQ-6 into the Arabic language.Findings indicated that a four-item version of the GQ achieved adequate fit statistics with the removal of the two reverse-scored third and sixth items. We found a McDonald Omega coefficient for the total 4-item GQ (GQ-4) scores of 0.88, thus attesting for the good reliability of the scale. Multiple-group Confirmatory Factor Analysis showed that the scale structure was invariant across male and female respondents at the configural, metric, and scalar levels. Females exhibited significantly higher gratitude scores compared to males. Finally, discriminant validity of the Arabic GQ-4 was evidenced through positive significant correlations with social support levels.The Arabic adaptation of the GQ showed good psychometric qualities, suggesting that it is suitable for measuring people's disposition toward gratitude in Arab backgrounds. Offering the Arabic GQ-4 as a brief, simple, cost-effective, valid, and reliable measure of gratitude to the Arabic-speaking community could help raise awareness about gratitude as a key component for achieving good mental health and wellbeing in Arab contexts
A Smart Warehouse Management System for Inventory Scanning and Storage Placemen
No full textModern warehouses face growing pressure to operate e"ciently while maintaining
inventory accuracy and minimizing human error. This project presents AirVentra, a
smart warehouse management system designed to optimize batch storage location rec ommendation, automate inventory scanning, and streamline task delegation. The system
integrates multiple AI-driven modules including computer vision, topic modeling, and
real-time decision support. Barcode detection is achieved using a YOLOv11n-based
model, which demonstrated superior accuracy (precision: 0.966, recall: 0.967, mAP50:
0.980) and faster inference time (0.9 ms) compared to earlier alternatives. For intelligent
storage location recommendation, the system employs a BERTopic classification model
that semantically categorizes batches based on their textual descriptions. BERTopic out performed LDA and NMF with an overall classification accuracy of 97% and an F1-score
of 0.97 across categories. A dual-phase inventory scanning process enables employees
to first verify batch placement and then assess shelf-level conditions such as overfill, un derfill, or expired items. Detected issues automatically trigger task assignments, with the
system selecting the least-loaded employee to handle the resolution. To support future
automation, we conducted experiments on drone path planning using several algorithms.
The Genetic Algorithm produced the most e"cient route (584.77 meters), outperform ing Christofides, Nearest Neighbor, and Spanning Tree approaches in traversal time. A
web-based system was developed using Laravel and Flask to manage scanning pipelines,
user interfaces, and real-time alerts. Results demonstrate that combining machine learn ing, computer vision, and automation within a unified system can significantly improve
warehouse reliability and reduce manual workload. Future work will expand toward full
autonomous UAV-based scanning and adaptive retraining of models based on evolving
batch metadata and operational patterns. This project is built upon the foundational work
presented in our accepted paper A.1 at the International Symposium on Data Intelligence
and Applications (ISDIA-2025). The paper, which outlines our initial methodology and
experimental setup, is scheduled to appear in Springer’s Lecture Notes in Networks and
Systems (LNNS) series by November 202
Design and evaluation of an analytical model for one-dimensional ballistic Schottky barrier GAA carbon nanotube FETs including BTBT effects
No full textThe relentless pursuit of smaller, faster, and more efficient transistors has driven the evolution of semiconductor technology. As traditional silicon-based MOSFETs approach their physical limits, carbon nanotube field-effect transistors (CNFETs) emerge as a promising alternative, particularly for applications below the 7 nm node. This article delves into the design and evaluation of an analytical model for one-dimensional ballistic Schottky barrier gate-all-around (GAA) CNFETs, with a particular focus on band-to-band tunneling (BTBT) effects. The Schottky barrier effect, a critical factor in device performance, is thoroughly examined, along with the superior characteristics of the GAA structure. The proposed model incorporates influential features such as ballistic transport, transmission through Schottky barrier contacts, and BTBT, offering a more accurate representation of device behavior. The study provides a detailed comparison with experimental data, demonstrating the model's accuracy in predicting key performance metrics such as on-current, drain-induced barrier lowering (DIBL), and threshold voltage. With a computation time of approximately 1.39 seconds, the model offers a significant advantage in terms of efficiency. The article also discusses potential avenues for future research, including the integration of multiple reflections between Schottky barriers and the consideration of multi-CNT configurations. This comprehensive analysis makes it a must-read for anyone interested in the future of nanoscale transistor technology