Istanbul Technical University
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Real-Time Localization Scoring for Challenging Industrial Environments: Practical Experiments With Bluepath Robotics
No full texthttps://doi.org/10.1109/mra.2025.358435
The effects of Co/Ce co-doped ZnO thin films: an optical and defect study
No full textAbstract Ce-doped ZnCoO (Zn0.99-xCo0.01CexO) thin films (with x = 0.00 to 0.05 in increments of 0.01) were grown using the sol–gel technique to investigate the influence of defects on their optical properties. By applying a Double Facet Coated Substrate (DFCS) theoretical transmittance model to analyze the optical transmittance data, the thickness, absorption loss, extinction coefficient, and refractive index of the thin films were determined. The films’ thicknesses and refractive indices ranged from <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>350</mml:mn> </mml:mrow> </mml:math> to <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>455</mml:mn> </mml:mrow> </mml:math> nm and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>1.71</mml:mn> </mml:mrow> </mml:math> to <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>2.02</mml:mn> </mml:mrow> </mml:math> , respectively. The optical band gap fluctuates as the Ce concentration increases from 0.00 to 0.05, and the extinction coefficient fluctuates with Ce concentration, and a maximum occurs at the 4% Ce concentration following the Sellmeier dispersion relation. However, the highest Urbach energy, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>904</mml:mn> <mml:mo>±</mml:mo> <mml:mn>613</mml:mn> </mml:mrow> </mml:math> meV, was observed for the 2% Ce-doped film. The photoluminescence (PL) spectra of Co/Ce co-doped ZnO thin films reveal the relative contributions of defects, namely Zni (zinc interstitials), VZₙ (zinc vacancies), and Oi (oxygen interstitials). X-ray diffraction (XRD) and scanning electron microscopy (SEM) were employed to analyze the structural properties and surface morphology of the films. Additionally, energy-dispersive spectroscopy (EDS) was used to determine the elemental composition of the thin films. This study demonstrates the effective use of the DFCS model to accurately determine the refractive index and extinction coefficient, two critical parameters for modeling photolithographic processes in the semiconductor industry.https://doi.org/10.1007/s10854-025-14890-
Evaluation of Wind Energy and Atmospheric Stability in Edincik
No full texthttps://doi.org/10.1007/978-3-031-89869-3_2
Türkiye’s GHG Emissions Towards the 2030 Target: MDAM and LSTM-Based Analysis with Key Energy Factors
No full textGreenhouse gas (GHG) emission, caused by heat-trapping gases in the atmosphere, is a major driver of global warming. The World Economic Forum highlights rising emissions, ecosystem degradation, and climate-related disasters as long-term threats to global stability. The accurate modeling and prediction of GHG emissions are crucial for evidence-based climate governance. This study investigates Türkiye’s GHG emissions by comparing two advanced time-series models: a deep learning-based Long Short-Term Memory (LSTM) network and the Multi Deep Assessment Model (MDAM), which incorporates Caputo fractional derivatives. Data from the Turkish Statistical Institute (TurkStat) and the Turkish Electricity Transmission Corporation (TEIAŞ) were used covering the period between 1993 and 2022. These datasets include information on GHG emissions, fossil-based generation, renewable energy, and electricity demand. Both models were trained to predict 2030 emissions and assess the contributing factors. Results show that MDAM achieved superior accuracy compared to LSTM. Both models projected 2030 emissions above Türkiye’s 695 Mt target, with 721.87 Mt (MDAM) and 709.49 Mt (LSTM), highlighting the need for stronger policy action. A no-COVID scenario yielded higher forecasts, confirming the pandemic’s suppressive effect. Impact factor analysis revealed that domestic electricity demand and fossil-based generation are the strongest drivers, while renewables mitigate emission.https://doi.org/10.3390/en1821582
Evaluation of Innovative Filter Materials and Operating Conditions in Vertical Flow Wetlands for Greywater Treatment
No full textThe reuse of greywater has benefits such as both the protection of water resources and the reduction of the economic burden of water supply and wastewater treatment. Greywater must be treated in accordance with legislative requirements for reuse. Natural treatment systems such as constructed wetlands are increasingly being used for this purpose. This study investigated greywater treatment performances of vertical flow (VF) constructed wetland systems with different filter materials under different operating conditions. Perlite and gravel reactors exhibited similar performance in COD removal when the reactors were operated without a rest phase, while perlite reactor performed slightly better when there was a distinctive flood and rest phase. Reactor operating conditions significantly impacted TKN removal efficiencies. It was hypothesized that operating the VF wetland system with a fully saturated flood phase followed by a rest phase created a hybrid system effect where anoxic and aerobic zones develop in turn conducive to nitrification and subsequent denitrification reactions. The higher removal efficiency observed in the perlite reactor was attributed to the better oxygen transfer capacity of perlite due to its porous structure. The innovative filter material perlite exhibited superior performance compared to gravel and proved to be effective as a promising alternative material in VF wetland reactors.https://dx.doi.org/10.5281/zenodo.17493267https://dx.doi.org/10.5281/zenodo.1749326
Valorization of legume by-products in functional formulations: phytochemicals and their simulated gastrointestinal fate
No full textHigh bioactive content of legume by-products enables their utilization in the development of value-added food applications.https://doi.org/10.1039/d5fb00273ghttps://pubs.rsc.org/en/content/articlelanding/2025/fb/d5fb00273ghttps://doi.org/10.1039/D5FB00273
Investigation of the Active Deformation in the Caucasus Region from Seismic and Geodetic Observations
No full textThe deformation and shortening in the Caucasus region are predominantly driven by the collision of Arabian and Eurasian plates with a possible contribution of the lithospheric deformation beneath the Caucasus. &amp;#160;The tectonic uplift/inversion, along with the formation of the Greater and Lesser Caucasus fold and thrust belts, is driven and maintained by the continental collision of the Arabian and Eurasian plates. However, the dominant factor for the regional variations of surface deformation and sub-crustal seismic activity, whether lithospheric delamination or slab detachment beneath the Caucasus region, is not well understood. Moreover, the variations in shortening along the Caucasus cannot be solely explained by plate boundary forces without constraints from lithospheric dynamics. The large uncertainties of the models lead to limited understanding of the formation and active deformation of this fold and thrust belt. The main reason for this shortcoming is the limited access to the seismic and geodetic data in the region. In this study, we merged seismic and geodetic data from Russia and surrounding countries. &amp;#160;We constructed a joint database for the period between 2007 and 2010 and updated 1D crustal velocity models for four sub-regions. We obtained the relocated seismicity within each region using the local velocity models. In addition, we updated the earthquake source mechanisms catalog in the Caucasus region. &amp;#160;A new Pn tomography model is computed using the new catalog. The crustal thickness variations are recomputed from receiver function analysis using the broad-band stations of Russia. We also update block boundaries and corresponding slip rates in the study region using both seismicity and geodetic data.https://doi.org/10.5194/egusphere-egu24-1218
A Sustainable and Effective Approach to Oil Mist Filtration: Oleophobic Bimodal Structured Filters Based on Acrylic Waste
No full textABSTRACTOil mist filtration is essential for reducing environmental pollution and extending equipment lifespan. This study explores the fabrication of nano/microfibrous filter mats from acrylic fiber wastes using solution blowing (SB) and centrifugal spinning (CS) techniques, offering a sustainable approach to advanced oil filtration. The effects of neat, oleophobic‐coated single‐layer, and multilayer structures on filtration performance were analyzed. While SB mats exhibited finer fibers and a denser structure, CS mats had a more porous and fluffy morphology. To enhance oleophobicity, SB mats were coated with a modified perfluoroalkyl silane (mFAS) by spraying. The coating increased the paraffin oil contact angle by 120° but also led to higher pressure drops (ΔP) due to the altered pore structure and surface characteristics. A multilayered design incorporating CS mats as the top layer and mFAS as an intermediated layer created asymmetric wettability and a bimodal structure, achieving over 99% filtration efficiency. The 5S/2.5 M/5C (×2) configuration in the multilayered designs demonstrated superior performance, (filtration efficiency (η) over 99%, lower ΔP, and slower clogging). These results indicate that the acrylic waste‐based bimodal structured fibrous mats produced can be used as an effective and sustainable oil mist filtration media.https://doi.org/10.1002/pol.2025056
Designing an Interactive Glove with a Robotic ARM for Virtual Reality Education Applications
No full texthttps://doi.org/10.1109/idap68205.2025.1122231
Towards sustainable and nutritional-based plant protein sources: A review on the role of rapeseed
No full textRapeseed (Brassica napus L.), commonly known as canola, is a key oilseed crop with an emerging interest in its protein content. Rapeseed proteins, primarily cruciferin and napin, are valued for their balanced amino acid profile, making them a promising source of plant-based protein. These proteins demonstrate diverse functional properties, such as emulsification, foaming, and gelling, which are essential for food applications. However, the extraction and isolation processes pose challenges, particularly in retaining functionality while minimizing antinutritional compounds like glucosinolates and phytates. Additionally, off-flavors, bitterness, and limited solubility hinder their widespread use. To address these challenges, novel extraction and modification techniques, including enzymatic and fermentation methods, have been explored to enhance protein functionality and improve flavor profiles. Moreover, sustainable production methods, such as enzymatic hydrolysis and membrane filtration, have been developed to reduce environmental impacts, resource consumption, and waste generation associated with rapeseed protein production. Despite the current challenges, rapeseed protein holds significant potential beyond food, with applications in biomedicine and materials science, such as biodegradable films and drug delivery systems. Future research should focus on optimizing extraction techniques, improving functional properties, and mitigating off-flavors to fully unlock the potential of rapeseed protein as a sustainable and versatile protein source for the growing global demand.https://doi.org/10.1016/j.foodres.2024.115553https://pubmed.ncbi.nlm.nih.gov/39967129https://www.scopus.com/pages/publications/85215390501https://pure.au.dk/portal/en/publications/f7402afc-f107-4f0d-b1c9-fdc76643f8a