Universidad Internacional del Ecuador
Universidad Internacional del Ecuador Quito: Repositorio Digital UIDENot a member yet
4856 research outputs found
Sort by
The AI-Cybersecurity Nexus: How Large Language Models are Reshaping Threat Intelligence and Digital Defense
No full textAs cybersecurity threats become more sophisticated, the integration of Large Language Models (LLMs) into defensive and analytical systems is transforming the field. This paper presents a PRISMA-guided bibliometric and thematic review of 149 studies published between 2015 and 2025, including 117 peer-reviewed journal and conference articles, examining publication trends and dominant research themes in LLM-enabled cybersecurity, organized around five research questions: (i) secure incorporation of LLMs into cyber threat intelligence workflows; (ii) hybrid architectures for privacy-preserving and real-time threat detection; (iii) LLM-enabled secure code remediation; (iv) adversarial misuse and dual-use risks; and (v) multi-layer defense strategies addressing prompt injection, model inversion, and data poisoning. Drawing on over 100 primary studies, the analysis highlights key trends, methodological innovations, and recurring vulnerabilities. Notable developments include decentralized trust-enhanced frameworks, context-aware remediation systems, and simulation-based red teaming. However, gaps persist in adversarial robustness, standardization of evaluation, and ethical governance. By mapping research across technical, operational, and policy dimensions, this review provides a structured basis for advancing trustworthy, resilient, and secure LLM deployments in high-stakes cybersecurity contexts.</p
Type 1 Diabetes Stigma Assessment Scale (Dsas-1) For Adolescents: A Study of Validity and Reliability
No full textReal-Life Experience of Hepatitis C Treatment with Direct-Acting Antivirals in Genotypes 2 and 3
No full textBackground/Aims: Despite the widespread use of direct-acting antivirals (DAAs), real-world data on treatment outcomes and predictors of response in hepatitis C virus (HCV) genotypes 2 and 3 remain limited, particularly in countries with heterogeneous patient populations such as Türkiye. This study evaluates the efficacy and safety of direct-acting antivirals (DAAs) in treating hepatitis C virus (HCV) genotype 2 (GT-2) and genotype 3 (GT-3) in Türkiye. Materials and Methods: This cohort is a multicenter, retrospective, and observational study. Data from 267 GT-2 or GT-3 patients treated with a DAA were analyzed. Treatment efficacy was assessed by sustained virological response at 12 weeks after the end of treatment (SVR), and baseline demographic, clinical, and laboratory parameters were evaluated to identify factors associated with treatment response. Results: An overall sustained virological response (SVR) rate of 95.9%, with no significant difference between GTs. The SVR rates were relatively lower in patients with cirrhosis. Prior pegylated interferon and ribavirin reduced SVR rates, particularly in males and patients with cirrhosis. The most common treatments were sofosbuvir-based regimens, which demonstrated comparable efficacy. No significant drug interactions were observed. The most commonly reported adverse events were fatigue and mild anemia, particularly in cirrhotic patients; however, these did not lead to treatment discontinuation. Conclusion: This study supports the efficacy and tolerability of DAA regimens for these HCV GTs, thereby reinforcing their role in HCV eradication
Effectiveness of platelet-rich fibrin and elastic bandage application on postoperative pain, edema and recovery following impacted molar surgery: a prospective randomized clinical study
No full text
Investigation of the Canine Leishmaniasis in Hatay/Turkey
No full textCanine Leishmaniasis (CanL) is a zoonotic vector-borne disease caused by Leishmania parasite in dogs. It represents a significant public health concern due to its potential for transmission to humans. In our study, we aimed to investigate CanL in Hatay using different diagnostic methods.Blood (plain and citrated) samples, lymph node aspiration, and conjunctival swabs were collected from 100 dogs. Smear preparations were prepared from blood and lymph aspiration. NNN medium was cultured from blood pellet sections and lymph aspiration. The rK39 dipstick test and ELISA were used to investigate the sera samples. Real-time Polymerase Chain Reaction (RT-PCR) was applied by performing DNA extraction from blood pellet sections, citrated blood, lymph node aspiration, conjunctival swabs, and reproductive medium.Leishmania amastigotes were not detected in examined blood smears, while amastigotes were detected in 18.60 % (8/43) of lymph aspiration smears. Growth of promastigotes was observed in 4 % (4/100) of blood pellet sections and 11.63 % (5/43) of lymph node aspirations in NNN. The percent of seropositive animals according to ELISA and rK39 dipstick test were 60 % (60/100) and 22 % (22/100), respectively. As a result of ITS-1 RT-PCR 12 % (12/100) with blood pellet sections, 11 %(11/100) with citrated blood, 46.51 %(20/43) with lymph aspiration, and 23 % (23/100) with conjunctival swab showed positivity. One dog that was confirmed positive via molecular analysis was identified as L. tropica, while the rest were classified as L. infantum/donovani in all samples. The L. infantum/donovani samples were determined to be L. infantum via Hsp70 RT-PCR.In conclusion, ELISA yielded the highest positivity rate among the used methods. L. infantum was detected in dogs in Hatay, and L. tropica was identified as the causative agent in dogs for the first time. This data suggests that CanL is a public health concern in Hatay and that integrated control strategies should be developed to combat the disease
Adoption of technologies for agricultural productivity: the moderating role of renewable energy with agricultural land use
No full textThis study investigates the impact of internet use, mobile phone use, renewable energy, agricultural land and fertiliser consumption on agricultural productivity across 27 developing countries from 2000 to 2021, using Driscoll-Kraay standard error (DSK) and two-step system generalised method of moments (SGMM) estimators. The DSK results indicate that a 1% increase in internet use, mobile phone use and renewable energy enhances agricultural productivity by 0.083%, 0.033% and 0.237%, respectively, with non-linear effects showing positive contributions (e.g. 0.014% for internet use squared). However, the interaction between internet use and renewable energy reduces productivity by 0.033%, and mobile use with renewable energy reduces it by 0.021%. Conversely, the interaction of renewable energy with agricultural land boosts productivity by 0.427%. The SGMM results confirm that a 1% increase in internet use and renewable energy increases productivity by 0.003% and 0.001%, respectively, while mobile use has a negative effect of 0.001%. Based on these findings, governments should prioritise rural internet infrastructure to increase productivity, subsidise solar-powered irrigation to capitalise land -renewable energy boost and provide targeted mobile training to mitigate productivity decline. These findings underscore the need for integrated technology and renewable energy policies to increase agricultural productivity