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A new product for soft sets with its decision-making: Soft lambda-product
Full text linkSoft sets provide a strong mathematical foundation for managing uncertainty and inventing solutions to parametric data problems. Soft set operations are fundamental elements within soft set theory. In this paper, we introduce a new product operation for soft sets, called the “soft lambda-product,” and thoroughly examine its algebraic properties in relation to various types of soft equalities and subsets. By studying the distribution of the soft lambda-product over different soft set operations, we further investigate its relationship with other soft set operations. We conclude with an example demonstrating the method’s effectiveness across various applications, employing the int-uni operator and int-uni decision function within the soft lambda-product for the int-uni decision-making method, which identifies an optimal set of elements from available options. This work significantly contributes to the soft set literature, as the theoretical foundations of soft computing methods rely on solid mathematical principles
Metaverse cryptocurrencies: An empirical analysis of cybersecurity risks and market dynamics
No full textThis research aims at assessing how significant cybersecurity issues affect Metaverse coin price and trading volume with particular regard to the five greatest assets from 2017 till 2024. The study uses event study and impulse response analysis to examine the impact of MANA (Decentraland), SAND (The Sandbox), AXS (Axie Infinity Shards), ENJ (Enjin Coin) and GALA (Gala Games) on nine major security incidents like the Coincheck and Ronin hacks. Dependent variables include the prices and volumes of coins in the Metaverse, while prices of Bitcoin and Ethereum serve as the main independent variables to control for price activity. The results show short-lived but strong effects, depending on event intensity and platform specifics. The Coincheck hack caused a 4.9% price drop and 22% volume decline over 10 days, while BtcTurk had a smaller impact. The current paper enlarges the body of research addressing the cryptocurrency sector’s market stability with the new knowledge about the risks control and investments into the fresh classes of assets
LncRNA MATN1-AS1/miR-200c-3p/HAS-2 AxisModulates Proliferation, Invasiveness, Migration andEpithelial-Mesenchymal Transition of Colorectal CancerCells
Full text linkBackground: The Long noncoding RNAs (lncRNAs) have been recognized as pivotal regulators in the development of colorectal
cancer (CRC). In this study, we aim to evaluate the impact of lncRNA matrilin 1 (MATN1)-Antisense RNA 1 (AS1)/micro RNA
(miRNA, miR)-200c-3p/hyaluronan synthase-2 (HAS-2) axis on CRC cells and in vivo CRC model.
Methods: The expression levels of LncRNA MATN1-AS1 in CRC tissues were assessed utilizing the Gene Expression Profiling
Interactive Analysis (GEPIA) platform. The expressions of LncRNA MATN1-AS1 and miR-200c-3p were validated through
reverse transcription quantitative polymerase chain reaction, while HAS-2 protein and epithelial-mesenchymal transition (EMT)-
related protein expressions were examined using western blot analysis. The enrichment of lncRNA MATN1-AS1 and miR-200c-
3p was evaluated using RNA Binding Protein Immunoprecipitation (RIP). The binding sites between miR-200c-3p and lncRNA
MATN1-AS1 or HAS-2 were predicted by StarBase and confirmed through dual-luciferase reporter assay. Additionally, colony
formation assay was performed to assess CRC cell proliferation. Transwell migration assay and invasion assay were conducted to
evaluate the migratory and invasive abilities of CRC cells. An in vivo model was established by subcutaneous injection in BALB/c
nude mice, while lung metastasis models were created through caudal vein injection. Immunohistochemistry was employed for
the detection of HAS-2 protein in vivo.
Results: The expression of LncRNA MATN1-AS1 was found to be upregulated in both CRC tissues and cells. Subsequently,
dual-luciferase reporter assay was performed to demonstrate the interaction between miR-200c-3p and lncRNA MATN1-AS1,
which was further confirmed by RNA immunoprecipitation (RIP) assay. Suppression of miR-200c-3p rescued low CRC cell
proliferation, migratory and invasive abilities. EMT caused by the knockdown of lncRNA MATN1-AS1. HAS-2 is identified as
a target that is negatively regulated by miR-200c-3p, highlighting a critical interaction within the CRC molecular landscape. As
for in vivo detections, tumor weight and volume were suppressed via the downregulation of lncRNA MATN1-AS1. Additionally,
lncRNA MATN1-AS1 downregulation inhibited lung metastasis and suppressed HAS-2 protein levels.
Conclusion: The MATN1-AS1/miR-200c-3p/HAS-2 axis was shown to regulate CRC cell proliferation, invasiveness, migration,
EMT, and tumorigenesis in vivo
Does the green credit policy induce hypocritical environmental information disclosure? The catering behavior of Chinese listed companies
Full text linkOwing to the incentives and constraints imposed by the green credit policy of 2012 in China, and in an attempt to try and secure more green credit, firms may choose to hypocritically disclose, in their environmental information disclosure documents, only a portion of the truth regarding their environmental practices. Although researchers have greatly explored the environmental impacts of the green credit policy, rarely have studies probed into the policy’s effects on firms’ environmental disclosure strategies. This study explores the impact of the green credit policy on listed firms’ hypocritical strategies regarding their environmental information disclosure. This study employs a theoretical and an empirical analysis, a difference-in-differences model, and data of Chinese listed companies from 2010–2017. We find that, after green credit policy implementation in 2012, firms are prone to adopting a catering strategy involving more, and more positive, environmental information disclosures and a concomitant fulfillment of less of their environmental responsibilities. Robustness tests consistently demonstrate pronounced catering behaviors among listed firms. The heterogeneous analyses indicate that firms that are non-heavily polluting and are located in cities with high financial development are more likely to adopt catering strategies. The internal reason why firms adopt catering strategies is the financial constraint effect caused by the green credit policy, while external reasons include rare capital market responses to catering behaviors
Financial literacy, financial inclusion, and food security: A comparative analysis of green and blue economy in the poorest region of Luzon, Philippines
Full text linkThe study aims to analyze the differences and influences of financial literacy and financial inclusion on food security in the green and blue economies of San Jose, Camarines Sur, located within the poorest region of Luzon, Philippines. The research also seeks to determine the levels of financial literacy, inclusion, and food security among specific members of each economy, namely rice farmers in the green economy and fisherfolk in the blue economy. This study employs a causal-comparative research design utilizing weighted mean, Kruskal-Walli’s test, and multivariate linear regression to assess the levels, variances, and impacts of financial literacy, inclusion, and food security. The findings indicate that both the green and blue economies exhibit low levels of financial literacy, as individuals struggle to apply their knowledge and skills to their attitudes and behaviors. Furthermore, given that many rice farmers and a majority of fisherfolk reside in remote areas away from urban centers, they encounter challenges in accessing and effectively utilizing financial services and products. Additionally, due to their informal income status, they experience transient food insecurity. The study highlights a significant difference in financial literacy, particularly in terms of behavior and attitude, attributed to variations in income patterns. Disparities in financial inclusion are observed concerning access, usage, quality, and well-being, stemming from geographical and systemic obstacles such as the coastal isolation of the blue economy and institutional barriers faced by both groups. The research concludes that financial literacy and financial inclusion play significant roles in influencing food security, with their effects varying across specific dimensions of each variable
Integrating sustainability into project management for eco-friendly outcomes
Full text linkThe pursuit of sustainable project management practices is becoming increasingly important in contemporary project management discourse. This review explores the integration of sustainability principles and environmental considerations within project management frameworks, aiming to identify specific strategies that lead to eco-friendly project outcomes and foster long-term sustainability. By examining a broad range of scholarly works, empirical studies, and industry reports, this review highlights key methodologies for embedding environmental consciousness into project planning, execution, and evaluation. The findings reveal that incorporating sustainability principles into project management not only enhances project outcomes but also significantly reduces adverse environmental impacts. Specifically, the review identifies effective approaches such as life cycle assessment (LCA) and stakeholder engagement, which are shown to be instrumental in promoting sustainable practices across different project stages. Moreover, the study sheds light on common challenges, such as resistance to change and the lack of standardized sustainability metrics, and offers actionable recommendations for overcoming these barriers. In addition, the review discusses opportunities for advancing sustainable project management through the application of emerging technologies and cross-disciplinary collaboration. Insights from behavioral studies, environmental sciences, and management theories provide a comprehensive understanding of the factors driving the successful adoption of sustainability practices among project stakeholders. Ultimately, this review consolidates theoretical perspectives and empirical evidence to present a clear and detailed understanding of how sustainable project management practices can be effectively implemented to achieve environmentally responsible and enduring project outcomes
Parametric rough bi-level multi-objective fractional programming problems
Full text linkThe parametric rough bi-level multi-objective fractional programming problem (PRBL-MOFPP) is investigated in this article. In the right-hand aspect of the rough set of constraints, the suggested PRBL-MOFPP has a scalar parameter. The PRBL-MOFPP is converted into two issues congruent to the upper and lower approximation models (UAM and LAM) in the first phase. Both UAM and LAM are solved using the fuzzy goal programming (FGP) technique. The parametric UAM and LAM were formulated in the second phase, and the Lagrangian function for UAM and LAM was derived. Furthermore, both models were subjected to Karush-Kuhn-Tucker (KKT) optimality conditions. Finally, the surely and possibly stable set of the first kind (SSFK) are studied. An algorithm for determining the SSFK for PRBL-MOFPP, as well as numerical examples, are exhibited.
Exploring consumer purchasing behavior: Business insights for precision marketing
Full text linkUnderstanding consumer purchasing behavior is crucial for businesses aiming to enhance customer engagement and optimize marketing strategies. In today’s digital economy, traditional marketing approaches are becoming less effective due to evolving consumer behaviors, the rise of online communities, and the widespread use of ad-blocking software. To remain competitive, businesses must adopt data-driven strategies to analyze consumer preferences and tailor their marketing efforts accordingly. Machine learning provides a powerful tool for predicting consumer purchasing behavior, enabling businesses to anticipate customer needs and implement targeted marketing campaigns. Previous studies have demonstrated the effectiveness of machine learning in consumer analysis, particularly in customer segmentation and purchase prediction. However, while much research focuses on technical model optimization, relatively few studies have applied machine learning specifically for marketing prediction and strategic decision-making. This study addresses that gap by leveraging machine learning to analyze consumer purchasing behavior and generate practical insights for marketing strategies and business applications. Using a dataset of 4680 transactions, we employ Generalized Linear Models (GLM), Logistic Regression, Random Forest, and XGBoost to predict repurchase behavior within a specified timeframe. Our objective is to provide practical implications for businesses, such as improving targeted promotions, refining customer segmentation, and enhancing demand forecasting
A Meta-Analysis of the Impact of Proton Pump Inhibitors on Survival Outcomes in NSCLC Treated with Immunotherapy
No full textBackground: It has recently been shown that concomitant medication, such as proton pump inhibitors (PPIs), can modulate the microbiome and has effect on the clinical outcome among advanced-stage cancer patients following immune checkpoint inhibitors (ICIs). Whether such relationship is associative or causative in advanced non-small cell lung cancer (NSCLC) is content of investigation. The current meta-analysis was conducted to explore the impact of proton pump inhibitors (PPIs) on ICIs treatment in NSCLC.
Methods and Materials: The electronic databases were searched until September, 2022. Researches investigating the predictive role of PPIs in NSCLC following ICIs were included. Then, the meta-analysis was aim to reveal the influence of PPI use on survival efficacy.
Results: 8 researches were finally included. For all interested outcomes, the between-study heterogeneity was low. Our results showed that the concomitant PPI use has a negative effect on the survival of NSCLC receiving ICIs. The pooled HRs of progression-free survival (PFS) and overall survival (OS) were HR = 1.33 (95% CI 1.21 to 1.46, p < 0.00001) and HR = 1.46 (95%
CI 1.32 to 1.62, p < 0.00001) when compared to those without PPIs.
Conclusion: The impact of PPI use is related to poor survival efficacy and may attenuate the anti-cancer activity of ICI. The underlying biological mechanisms of the relation between PPI and the efficacy of ICI treatment should be elucidate through further researches
Nutritional and consumer sensory reactions of catfish-fortified puffed corn snacks
Full text linkThe development of nutritionally enhanced snacks is a strategy to address protein-energy malnutrition, particularly in developing regions. This study investigated proximate and sensory characteristics of extruded puffed corn snacks fortified with varying levels (0%, 5%, 10%, 15%, and 20%) of catfish (Clarias gariepinus) paste. Proximate analysis was performed based on the methods of the Association of Official Analytical Chemistry (AOAC). 30 untrained panelists assessed appearance, aroma, taste, texture, and overall acceptability using a nine-point hedonic scale. Incorporation of catfish significantly enhanced the snacks’ nutritional profile. Moisture and protein content increased from 6.04% (control) to 8.62% at 15% inclusion and from 11.43% (control) to 17.19% at 20%, respectively. Ash rose from 1.90% (control) to 2.47% at 20%, while crude fiber decreased from 5.33% (control) to 3.01%–3.36% at all inclusion levels. While carbohydrates declined from 73.73% to 66.41% at 20%, fat content increased from 1.57% (control) to 2.58% at 10%, before slightly decreasing at 20% to 2.27%. There was a progressive increase in acceptability, with the highest mean score of 5.77 at 15% catfish inclusion, followed by a slight decline at 20% (5.63). The standard deviation decreased as catfish inclusion increased, indicating more consistent consumer preferences. The skewness and kurtosis values of the 15% showed strong consumer preference. Sensory evaluation showing a 9-point hedonic scale showed an increase in acceptability with the highest mean score of 5.77 at 15% catfish inclusion. Sensory score declined at 20% inclusion, likely due to an intensified fishy aroma. The extrusion process preserved desirable textural properties and contributed to enhanced flavor, supporting the potential of catfish as a valuable ingredient in nutritionally enriched puffed corn snacks. The study demonstrates the potential of African catfish as a fortifying ingredient in snacks with a balance between nutritional enhancement and sensory appeal. Due to under-exploration of the fish species in corn snack production, this study offers a promising approach to improving the nutritional quality of snacks without compromising consumer acceptability