Erciyes University - AVESIS
Not a member yet
96078 research outputs found
Sort by
Neredeyse Sıfır Enerjili Binalar (nSEB) Kapsamında Uluslararası Standart ve Teşviklerin Türkiye ile Karşılaştırmalı Analizi
No full textRecent advances in the synthesis and applications of metal selenides (MSs) and their composites for toxic pollutants analyses: A review on sensing, solid phase extraction, and environmental remediation
No full textMetal selenides are an emerging materials framework characterized by their visible-light reactivity, high electrical conductivity, and chemically versatile surfaces, which position them for end-to-end environmental solutions, from ultrasensitive detection to selective preconcentration and efficient removal/degradation of pollutants. This review connects synthesis–structure–function by surveying hydro/solvothermal, microwave, mechanochemical, and templated routes and shows how morphology control, defect engineering, doping, and heterojunction design tune charge transport and active sites. We map these levers to applications: (i) Sensing, including room-temperature, low-power MS sensors and MS–carbon hybrids; (ii) Solid-phase extraction (SPE), MSs and their composites enabling high recoveries in complex matrices; and (iii) Remediation, including photocatalytic and pathways that degrade dyes, pharmaceuticals, and antibiotics under visible light. We summarized comparative performance (limits of detection, linear ranges, adsorption capacities, kinetics) and discussed scalability, stability, and regeneration. We outline design rules, such as defect-guided charge transport, core–shell protection, conductive supports, and membrane/foam immobilization, to convert MSs into deployable sensors, field-ready SPE adsorbents, and solar-driven reactors for sustainable water, soil, and air applications
Oxidative Stress-Related HDL Dysfunction in Hemodialysis: The Clinical Utility of MPO/PON1 and MPO/HDL-C Ratios in Cardiovascular Risk Assessment
No full textIntroduction: Oxidative stress (OS), inflammation, and lipoprotein dysfunction contribute to the high cardiovascular disease (CVD) risk in chronic kidney disease (CKD) patients undergoing hemodialysis (HD). This study examined whether OS-related biomarkers—myeloperoxidase (MPO), paraoxonase-1 (PON1), and homocysteine (HCY)—and their derived ratios (MPO/PON1, MPO/HDL-C, PON1/HDL-C) are associated with cardiovascular risk. Methods: A case–control study was conducted including 42 HD patients and 42 matched healthy controls. Plasma HCY levels, MPO activity, and PON1 activity were measured, along with lipid profiles. Functional OS ratios were calculated. Results: HD patients showed higher MPO activity and HCY levels and lower PON1 activity compared with controls (p < 0.001). MPO/PON1 and MPO/HDL-C ratios were significantly elevated before and after dialysis, indicating increased oxidative imbalance. Conclusion: The MPO/PON1 ratio may represent a novel biomarker of OS and CVD risk in HD patients, supporting the evaluation of HDL functionality for improved risk stratification
Behaviors of the double-periodic soliton and breather wave solutions for a fractional thermophoretic motion equation via the graphene sheets in wave motions
No full textKABUL EDİLDİ.We focus our attention on some solitonic phenomena in the substrate-supported graphene sheetsby learning the solitons of a fractional thermophoretic motion equation, which has been extractedfrom the wrinkle wave motions. By utilizing the analytical technique and selecting suitably theHirota bilinear method involved in the nonlinear ODE form, new analytic solutions are attained.To investigate the fractional solutions the generalized fractional derivative is used. Breather wavesolutions and double periodic-soliton solutions are studied with the usage of symbolic computation.A collection of comprehensive soliton structures are developed to study the dynamics of the governingmodel with the aid of some efficient analytical strategies. Through three-dimensional graph, densitygraph, and two-dimensional graph to investigate the breather wave (BW) and double periodicsoliton (DPS) solutions are presented. As a result, the numerous classifications of both BW andDPS solutions to the studied issues are found. The modified extended mapping method is usedto obtain different types of solutions including soliton, bright soliton, dark soliton, kink, periodicna dother solutions. An important property of dispersive solitons is their ability to interact withother solitons. When two or more solitons interact, they can either combine to form a new solitonor repel each other and maintain their individual shapes. The appropriateness and viability of theobtained arrangements is detailed through the reenactment comes about within the shape of 3-D,density, and 2-D charts. This property allows for the creation of complex wave patterns and the manipulation of light in a variety of ways. These solitons have been extensively studied in variousphysical systems, including optics, hydrodynamics, and plasma physics.</p
PODCASTING IN TURKIYE: HISTORICAL DEVELOPMENT, MARKET DYNAMICS AND OUTLOOK FOR THE FUTURE
No full textBacillus 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