Erciyes University - AVESIS
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PODCASTING IN TURKIYE: HISTORICAL DEVELOPMENT, MARKET DYNAMICS AND OUTLOOK FOR THE FUTURE
No full textSupportive Care Needs and Nursing Perceptions in Cancer Patients Receiving Targeted Immunotherapies: A Cross-Sectional Study
No full textAnalysis of Innovation Performance of South- Eastern European Countries in Transition Economies: An Application of the Entropy-Based ARTASI Method
No full textInnovation performance has emerged as a crucial policy concern for nations undergoing institutional change and economic restructuring. Using a novel hybrid multi-criteria decision-making (MCDM) framework, this study assesses the innovation capacities of five transition economies in South-Eastern Europe: Albania, Bosnia and Herzegovina, Montenegro, North Macedonia, and Serbia. Although the Global Innovation Index (GII) is widely regarded as a comprehensive benchmarking tool, its aggregated scoring system often obscures contextual subtleties, particularly in smaller or less-studied economies. To address these limitations, this study combines the ARTASI ranking model with objective weighting methods—Entropy and CRITIC—providing a transparent, flexible, and reproducible evaluation framework. The results indicate that output-oriented indicators—such as Knowledge and Technology Outputs, Market Sophistication, and Creative Outputs—are the most significant factors in differentiating national innovation performance. Among the analyzed countries, Serbia leads the regional ranking, followed by North Macedonia and Montenegro, while Albania and Bosnia and Herzegovina exhibit notable output-related deficiencies. Robustness checks—including sensitivity analysis and cross-validation with alternative MCDM techniques—confirm the model's stability and reliability. Beyond addressing a geographic gap in innovation literature, this study offers a methodologically refined approach to innovation evaluation. The proposed framework can serve as a foundation for comparative research in similar socioeconomic contexts and guide evidence-based policy-making in transition economies.</p
Navigating the triad: Economic growth, innovation, and aviation's role in shaping renewable energy transitions across G20 nations
No full textThis study explores how aviation, innovation, and GDP influence renewable energy consumption in G20 countries from 2001 to 2019. To analyze both short- and long-term relationships, the study applies panel data analysis, using the Panel ARDL/PMG and Panel Granger Causality (VECM) methods across four different models. The key variables included in the models are renewable energy consumption, air cargo volume, airline passenger numbers, flight landings, patent applications, and GDP. Findings from the Panel ARDL/PMG analysis reveal that air transportation consistently positively influence renewable energy consumption by 3.1 % while GDP influence renewable energy by -2.1 %. Meanwhile, innovation also has a significant long-term impact, except in Model 4. The VECM results show a one-way causal relationship between air cargo volume and flight landings and renewable energy consumption. However, a two-way relationship is observed between passenger numbers and renewable energy consumption, indicating that higher air passenger traffic contributes to renewable energy use, while renewable energy consumption, in turn, influences air travel demand. The findings provide significant policy insights, highlighting the necessity for cohesive strategies that synchronize innovation, air transport, and economic growth with renewable energy objectives, including enhanced investments in clean energy to facilitate the adoption of renewable resources in the aviation sector, such as advocating for sustainable fuels and implementing regulatory measures to mitigate carbon emissions
Bacillus subtilis species complex: Secondary metabolites, genomic insights, and metabolite-driven strategies for sustainable agriculture
No full textThe Bacillus subtilis species complex represents a metabolically diverse and genetically tractable group of soil borne bacteria with profound implications for sustainable agriculture. This review synthesizes recent advances in the characterization and agricultural deployment of key species within this group, including B. subtilis , B. amyloliquefaciens , B. velezensis , B. licheniformis , B. paralicheniformis , B. pumilus , and B. atrophaeus . These bacteria are potent producers of secondary metabolites such as lipopeptides (e.g., surfactin, fengycin, and iturin), polyketides (e.g., difficidin, bacillaene), siderophores (e.g., bacillibactin), phytohormones, and volatile organic compounds. Their multifaceted roles in plant growth promotion, biocontrol, nutrient cycling, and stress mitigation are explored. Notably, their capacity to suppress fungal, bacterial, and nematode pathogens has been validated through laboratory and field trials. Furthermore, modern molecular tools genome mining, CRISPR editing, and transcriptomic profiling are unlocking regulatory mechanisms underlying metabolite biosynthesis. Emerging formulations and bio-inoculants, such as seed coatings and drought-stable granules, can be scalable and eco-compatible alternatives to chemical pesticides. This review provides a comprehensive and critical perspective on the ecological, genomic, and biotechnological potential of B. subtilis group species as linchpins in the transition toward resilient and low-input agricultural systems
Integrated Assessment of Obesity Indices and Novel Inflammatory Biomarkers in Predicting the Severity of Obstructive Sleep Apnea
No full textApplication of digital twin technology for combustion and emissions of sustainable aviation fuels
No full textThis study investigates the impact of blending Sustainable Aviation Fuels (SAFs) with Jet-A on turboprop engine performance and emissions using a validated physics-based digital twin model. The digital twin of a PT6 engine, achieving over 90 % accuracy, was used to evaluate three SAF types (HEFA, FT-SPK, ATJ) at blending ratios of 5–50 %. The results show that ATJ blends achieved the highest thrust and torque, whereas HEFA blends provided the strongest reductions in CO2, CO, UHC, and soot emissions. FT-SPK offered balanced performance. This approach demonstrates that digital twin modeling can predict the fuel–engine interaction of SAF blends without extensive physical testing, accelerating sustainable propulsion development. The study also highlights current limitations, including the exclusion of NOx formation and the need for future integration of real-time feedback to achieve a fully bidirectional digital twin. NOx emissions were excluded due to model constraints, as their formation is predominantly driven by temperature and turbulence rather than fuel carbon content. All fuel comparisons conducted in this study were performed entirely in the virtual environment of the digital twin model. Validation was carried out only against reference Jet-A engine data, and no experimental validation was performed for the SAF blends
High‐ and Low‐Protein Maternal Diet During Pregnancy Alter the Offspring Skeletal Muscle Transcriptome and miRNAome in Lamb
No full textUnderstanding barriers to agricultural technology adoption: Evidence from U.S. agribusiness firms
No full textThis study investigates how economic, environmental, technical, political, and socio-cultural barriers shape innovation outcomes of openness, effort and success among US agribusiness firms. Drawing from perception-based survey data from agribusiness employees, the analysis employs a sequential modeling strategy combining ordered probit and triple hurdle probit estimation, complemented by tests of heterogeneity based on firm size and industry. The results reveal that environmental barriers are the most significant obstacle to innovation across all innovation stages, indicating regulatory and sustainability pressures can stimulate adaptive innovation. Economic barriers exhibit dual effect, reducing openness and effort but positively influencing innovation success once firms commit to adoption. Technical barriers hinder progress in specific contexts, especially for smaller firms and food related enterprises. Findings reveal heterogeneity across subsectors and firm sizes, highlighting that innovation in agribusiness often emerges as a strategic adaptation to constraints. From a policy perspective, interventions such as innovation subsidies, tax incentives for green technology, and inclusive financing mechanisms are essential to enable equitable and sustainable innovation adoption among firms with characteristics similar to those represented in this sample