DSpace Repository

İstanbul Kent Üniversitesi Research and Academic Performance System

DSpace@Kent is an integrated information system that unifies the monitoring, analysis and reporting of scientific research and academic performance at İstanbul Kent University.

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TR-Dizin Publications

PubMed Publications

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Recent Submissions

The impact of AI on China's energy policy for EVs
(Inderscience Publishers, 2026)
Katterbauer, Klemens
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Yılmaz, Sema
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Syed, Hassan
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Meral, Gözde
China's national energy policy is fundamentally oriented toward achieving a low-carbon economy, with electric vehicles (EVs) serving as a key pillar in this transition. AI plays a crucial role in enhancing energy efficiency, optimising grid integration, accelerating the widespread adoption of EVs. This report provides a comprehensive analysis of AI's contributions to China's EV-related energy policies, examining its applications, benefits, challenges, future developments. AI technologies are instrumental in facilitating China's ambition to achieve carbon neutrality by 2060. In the energy distribution, AI significantly enhances grid stability through the implementation of smart charging systems, vehicle-to-grid (V2G) technologies, predictive analytics. However, several challenges must be addressed to realise these advantages. These are data security, the digital divide in rural areas, the high costs, the need for regulatory frameworks that balance innovation with compliance. Consequently, AI represents a transformative tool in advancing China's EV adoption and aligning its energy policies with long-term sustainability objectives.
Integrated production, genomic safety, quality, and stability characterization of a human-derived Limosilactobacillus reuteri ATA-LTC-Lr050600 strain for probiotic applications
(MDPI, 2026)
Türkoğlu, Özlem
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Aslan, İsmail
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Bursalıoğlu, Ertuğrul Osman
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Can Kurt, Kübra
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Özdatlı Kurtuluş, Şükran
Probiotic quality and safety require strain-specific characterization supported by controlled production and comprehensive evaluation. This study aimed to integrate controlled fermentation and biomass production, downstream processing and lyophilization, microbiological quality control, batch reproducibility, whole-genome characterization, in vitro functional and safety-related assessment, real-time stability monitoring, and OECD-compliant in vivo safety evaluation of the human-derived Limosilactobacillus reuteri strain ATA-LTC-Lr050600. The strain was produced under controlled fermentation conditions, followed by harvesting, protective formulation, and lyophilization. Product quality was assessed by standardized microbiological testing, whole-genome sequencing, and in vitro assays evaluating acid and bile tolerance, adhesion to a fibroblast cell model, hemolytic activity, and cytotoxicity. Real-time stability was monitored during storage, and safety was further evaluated using OECD-compliant acute and repeated-dose oral toxicity studies. The production process generated a lyophilized preparation with consistent microbiological quality and reproducible manufacturing characteristics. Whole-genome sequencing confirmed strain identity and did not detect acquired antimicrobial resistance determinants. The strain tolerated simulated gastrointestinal conditions, adhered to the evaluated fibroblast cell model, and showed no detectable hemolytic activity or cytotoxicity under the experimental conditions. Product viability and microbiological quality were maintained throughout the monitored storage period. In the in vivo studies, no treatment-related adverse effects were identified, and the repeated-dose study established a no-observed-adverse-effect level of 1000 mg/kg/day under the conditions examined. Collectively, these integrated findings provide a basis for further strain-specific evaluation and support the continued development of L. reuteri ATA-LTC-Lr050600 as a well-characterized probiotic candidate under the conditions examined.
Barrier protection, skin microbiome, and diaper dermatitis in infants: Current evidence and future perspectives—a narrative review
(MDPI, 2026)
İbrahimoğlu, Öznur Özlem
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Boduroğlu, Mehmet Serhan
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Aslan, İsmail
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Bursalıoğlu, Ertuğrul Osman
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Atsü, Ayşe Nilhan
Diaper dermatitis is one of the most common inflammatory skin conditions in infancy. It develops through the combined effects of moisture, friction, irritants, and disruption of the epidermal barrier. This review aimed to evaluate recent evidence on barrier-supportive ingredients used in infant diaper care, with a focus on barrier protection, microbiome-related approaches, and their role in preventing and managing diaper dermatitis. A structured literature search of PubMed, Scopus, and Web of Science identified clinical studies involving infants and young children of diaper-wearing age that evaluated diaper-area interventions or implementation strategies and reported diaper dermatitis or related skin outcomes, including erythema, transepidermal water loss, skin pH, and hydration. The final clinical evidence synthesis included 35 independent studies reported in 34 publications. Reviews and relevant experimental or mechanistic studies were used to provide background and biological context but were not considered direct evidence of clinical efficacy in infants. Clinical findings were synthesized narratively according to intervention type, study design, population, outcomes, and key limitations. Direct clinical evidence supports barrier-protective care, appropriate cleansing practices, and diaper-related strategies as core components of diaper dermatitis prevention and management, although findings varied by formulation, population, and outcome. Evidence for botanical and natural topical interventions was formulation-specific and inconsistent across studies. Microbiome-targeted approaches, including postbiotics, are biologically plausible and supported primarily by experimental and mechanistic evidence; however, direct clinical evidence in infant diaper dermatitis remains limited.
The social intelligence reliance halo: perceived social understanding, epistemic trust, and reliance quality in human-AI decision-making
(MDPI, 2026)
Mızrak, Filiz
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Özer Kırgız, Ayça Can
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Demirel, Hatice Gökçe
As generative AI systems become more socially responsive, personalized, and perspective-aware, a central question is whether such features improve human–AI decision quality or simply make AI advice more influential. This study introduces the Social Intelligence Reliance Halo as a proposed social-to-epistemic spillover pattern in which perceived social understanding functions as a non-diagnostic cue for epistemic evaluation: an AI that appears to understand the user may also be granted greater epistemic authority or reliability even when the relational cue provides no evidence of factual accuracy. A randomized two-condition experiment was conducted with 462 working adults with recent generative-AI experience. Participants interacted with either a High Social-Intelligence (High-SI) relational framing package or a Neutral AI across six repeated decision trials. Post-interaction measures assessed perceived social intelligence, epistemic authority, epistemic reliability, suspension of critical judgment, verification behavior, and AI literacy; trial-level behavioral reliance was analyzed with generalized estimating equations. The randomized High-SI package increased perceived social intelligence and increased advice-taking both when participants were initially correct and the contingent AI recommendation was wrong (OR = 1.507, p < .001) and when participants were initially incorrect and the recommendation was correct (OR = 1.800, p < .001). The Condition × participant-dependent advice-correctness interaction was nonsignificant (OR = 1.195, p = .289), providing no reliable evidence that the randomized treatment effect differed across these two states. Because recommendation correctness was mechanically determined by participants’ initial accuracy rather than independently randomized, this interaction is interpreted as exploratory treatment heterogeneity across participant-dependent correctness states rather than evidence that the High-SI package altered sensitivity to AI accuracy. Post-interaction perceived social intelligence was positively associated with epistemic authority and reliability, and AI literacy was associated with lower suspension of critical judgment and greater verification; these associations do not establish temporal or causal mediation. The study therefore provides experimental evidence that a bundled relational framing package can amplify both beneficial and harmful reliance, while the proposed social-to-epistemic pathway and accuracy-sensitive reliance remain questions for stronger future designs.
Healthcare access, needs and satisfaction among earthquake survivors in shelters in Hatay, Türkiye
(Oxford University Press, 2026)
Özdemir, Gözde
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Aksoy, Zahide
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Erol, S.
Background Large-scale earthquakes pose substantial challenges to public health systems, particularly for populations in temporary shelters. Evidence on long-term healthcare access in post-disaster settings remains limited. Assessing healthcare needs eighteen months post-disaster is critical to understanding the transition from emergency response to sustainable health system recovery. This study assessed healthcare service needs, access barriers, and satisfaction among survivors in Hatay following the 2023 earthquakes. Methods A cross-sectional study was conducted between September and October 2024 in temporary shelter areas in Hatay, Türkiye. A total of 405 survivors aged ≥18 years were included using convenience and snowball sampling. Data were collected via a structured questionnaire assessing sociodemographics, healthcare access, service needs, perceived barriers, and satisfaction. Data were analyzed using descriptive statistics and chi-square tests (p < 0.05). Results Overall, 72.3% of participants reported at least one barrier to healthcare access. Key needs were health education (58.5%) and chronic disease follow-up (57.8%) at the primary level; outpatient visits (74.3%) and access to medications (72.6%) at the secondary level; and physiotherapy (24.4%) at the tertiary level. Approximately 29.9% were dissatisfied with services. Higher satisfaction was significantly associated with access to 24-hour healthcare within shelter areas and use of family health centers (p < 0.05). Conclusions Earthquake survivors in temporary shelters face substantial structural barriers to healthcare, negatively affecting satisfaction. Strengthening primary healthcare, ensuring 24-hour service availability, and integrating user feedback are essential to support equitable and resilient post-disaster health systems. Key messages • Over 70% of earthquake survivors in temporary shelters face barriers to healthcare, highlighting a critical need for structural improvements in post-disaster primary care. • Ensuring 24-hour healthcare availability within shelter areas is significantly associated with higher survivor satisfaction and equitable access to essential services.