• N-Type Molecular Thermoelectrics Based on Solution-Doped Indenofluorene-Dimalononitrile: Simultaneous Enhancement of Doping Level and Molecular Order 

  Wang, Suhao; Wei, Huan; Rillaerts, Antoine; Deneme, Ibrahim; Depriester, Michael; Manikandan, Suraj; Andreasen, Jens Wenzel; Daoudi, Abdelylah; Peralta, Sebastien; Longuemart, Stephane; Usta, Hakan; Cornil, Jerome; Hu, Yuanyuan; Pisula, Wojciech (WILEY- Advanced, 2025)

  The development of n-type organic thermoelectric materials, especially π-conjugated small molecules, lags far behind their p-type counterparts, due primarily to the scarcity of efficient electron-transporting molecules and ...

• Structurally Colored Physically Unclonable Functions with Ultra-Rich and Stable Encoding Capacity 

  Esidir, Abidin; Ren, Miaoning; Pekdemir, Sami; Kalay, Mustafa; Kayaci, Nilgun; Gunaltay, Nail; Usta, Hakan; Huang, Xian; Onses, Mustafa Serdar (WILEY-Advanced, 2025)

  Identity security and counterfeiting assume a critical importance in the digitized world. An effective approach to addressing these issues is the use of physically unclonable functions (PUFs). The overarching challenge is ...

• Molecular Separation by Using Active and Passive Microfluidic chip Designs: A Comprehensive Review 

  Ebrahimi, Aliakbar; Icoz, Kutay; Didarian, Reza; Shih, Chih-Hsin; Tarim, E. Alperay; Nasseri, Behzad; Akpek, Ali; Cecen, Berivan; Bal-Ozturk, Ayca; Gulec, Kadri; Li, Yi-Chen Ethan; Shih, Steven; Tarim, Burcu Sirma; Tekin, H. Cumhur; Alarcin, Emine; Tayybi-Azar, Mehdi; Ghorbanpoor, Hamed; Ozel, Ceren; Sariboyaci, Ayla Eker; Guzel, Fatma Dogan; Bassous, Nicole; Shin, Su Ryon; Avci, Huseyin (WILEY Advanced, 2024)

  Separation and identification of molecules and biomolecules such as nucleic acids, proteins, and polysaccharides from complex fluids are known to be important due to unmet needs in various applications. Generally, ...

• Effect of bio-mimicked surface texturing on the shear strength of additively manufactured metal single-lap joints: An innovative approach 

  Atahan, M. Gokhan; Maskery, Ian; Ashcroft, Ian; Apalak, M. Kemal; Pappas, Athanasios (PERGAMON-ELSEVIER SCIENCE LTD, 2025)

  In this paper, we investigate the mechanical performance of metal single-lap joints featuring bio-mimicking surface textures. The inspiration for the surface textures was the foot and toe of the gecko, a creature whose ...

• Macronutrients in diets differentially affect gastrointestinal cytokine and tight junction protein levels 

  Ulutas, M. S.; Cebeci, A. (UNIV PUTRA MALAYSIA PRESS, 2025)

  Western diet is known to result in intestinal inflammation and loss of barrier function. In the present work, we investigated whether other macronutrients contribute to inflammation and destabilising barrier function in ...

• CompreCity: Accelerating the Traveling Salesman Problem on GPU with data compression 

  Yalcin, Salih; Usul, Hamdi Burak; Yalcin, Gulay (ELSEVIER, 2025)

  Traveling Salesman Problem (TSP) is one of the significant problems in computer science which tries to find the shortest path for a salesman who needs to visit a set of cities and it is involved in many computing problems ...

• Stress and damage distribution analysis of steel reinforced geopolymer concrete beams: Finite element method and experimental comparison under varying design parameters 

  Ozbayrak, Ahmet; Kucukgoncu, Hurmet; Aslanbay, Huseyin Hilmi; Aslanbay, Yuksel Gul (ELSEVIER, 2025)

  Geopolymer concrete (GPC) is a sustainable and eco-friendly alternative to ordinary Portland cement-based concrete (OPC). However, its application in reinforced concrete structures remains limited due to insufficient ...

• Exploring CsPbX3 (X = Cl, Br, I) Perovskite Nanocrystals in Amorphous Oxide Glasses: Innovations in Fabrication and Applications 

  Samiei, Sadaf; Soheyli, Ehsan; Vighnesh, Kunnathodi; Nabiyouni, Gholamreza; Rogach, Andrey L. (WILEY Online Library, 2024)

  Metal halide perovskites with excellent optical and electronic properties have become a trending material in the current research. However, their limited stability under ambient conditions degrades quality and threatens ...

• A functional barley-based fermented soup (tarhana) with high β-glucan content 

  Koksel, Hamit; Ozkan, Kubra; Tekin-Cakmak, Zeynep Hazal; Karasu, Salih; Kahraman, Kevser; Oruc, Sena; Sagdic, Osman; Sestili, Francesco (SPRINGER, 2025)

  This study investigates the impact of using different flours, including high beta-glucan barley, on the nutritional properties of tarhana. Mineral composition, phenolic content, and antioxidant capacity of tarhana powder ...

• Ground failures and foundation performances in Adıyaman-Gölbaşı following the 6 February 2023 Kahramanmaraş-Türkiye Earthquake Sequence 

  Cetin, Kemal Onder; Moug, Diane; Soylemez, Berkan; Ayhan, Bilal Umut; Zarzour, Moutasem; Suhaily, Ahmed Al; Akil, Bulent; Unutmaz, Berna; Firat, Seyhan; Tekin, Erhan; Cakir, Elife; Frost, David; Macedo, Jorge; Bray, Jonathan; Moss, Robb; Bassal, Patrick; Gurbuz, Ayhan; Isik, Nihat Sinan; Akin, Muge; Sahin, Arda; Duman, Emre (SAGE PUBLICATIONS INC, 2025)

  The 6 February 2023 Kahramanmara & scedil;-T & uuml;rkiye earthquake sequence (M7.8 and M7.6) presents an exceptional opportunity to investigate both the effects of local soil conditions on damage patterns under strong ...

• ATOM: AI-Powered Sustainable Resource Management for Serverless Edge Computing Environments 

  Golec, Muhammed; Gill, Sukhpal Singh; Cuadrado, Felix; Parlikad, Ajith Kumar; Xu, Minxian; Wu, Huaming; Uhlig, Steve (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2024)

  Serverless edge computing decreases unnecessary resource usage on end devices with limited processing power and storage capacity. Despite its benefits, serverless edge computing's zero scalability is the major source of ...

• Machine Learning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membrane Separation 

  Dangayach, Raghav; Jeong, Nohyeong; Demirel, Elif; Uzal, Nigmet; Fung, Victor; Chen, Yongsheng (ACS Publications, 2024)

  Polymeric membranes have been widely used for liquid and gas separation in various industrial applications over the past few decades because of their exceptional versatility and high tunability. Traditional trial-and-error ...

• Network intrusion detection based on machine learning strategies: performance comparisons on imbalanced wired, wireless, and software-defined networking (SDN) network traffics 

  Hacilar, Hilal; Aydin, Zafer; Gungor, Vehbi Cagri (TÜBİTAK Academic Journals, 2024)

  The rapid growth of computer networks emphasizes the urgency of addressing security issues. Organizations rely on network intrusion detection systems (NIDSs) to protect sensitive data from unauthorized access and theft. ...

• Distinguishing Resting State From Motor Imagery Swallowing Using EEG and Deep Learning Models 

  Aslan, Sevgi Gökçe; Yılmaz, Bülent (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2024)

  The primary aim of this study was to assess the classification performance of deep learning models in distinguishing between resting state and motor imagery swallowing, utilizing various preprocessing and data visualization ...

• Production of high-grade antimony oxide from smelter slag via leaching and hydrolysis process 

  Ibrahim, Ahmedaljaali Ibrahim Idrees; Aboelgamel, Muhammed; Soylu, Kartal Kaan; Top, Soner; Kursunoglu, Sait; Altiner, Mahmut (ELSEVIER, 2025)

  This study aimed to investigate the recovery of antimony (Sb) from slag generated in an antimony smelting plant using leaching followed by hydrolysis processes. The leaching behaviors of rare earth elements (REEs) were ...

• A review on the recovery of high-grade critical metals from spent petroleum catalysts for meeting the demands of Industry 5.0 

  Taz, Dilara; Ozsarac, Safak; Kursunoglu, Sait; Kursunoglu, Nilufer; Top, Soner; Altiner, Mahmut (TAYLOR & FRANCIS INC, 2024)

  In solvent extraction studies, various extractants, including TOPO, Alamine 308, TBP, TOA, LIX 84I, LIX 63, and Aliquat 336, were employed for the extraction and separation of vanadium, molybdenum, and cobalt from aqueous ...

• A novel evaluation methodology for dimension stone quality 

  Köken, Ekin; Strzalkowski, Pawel (Mining Science, 2024)

  The physical and mechanical properties of natural stones are crucial factors in determining their quality, predicting their durability, and assessing their potential uses. In this study, a novel method is introduced to ...

• Probabilistic assessment of wind power plant energy potential through a copula-deep learning approach in decision trees 

  Şahin, Kübra Nur; Sutcu, Muhammed (CELL PRESS, 2024)

  In the face of environmental degradation and diminished energy resources, there is an urgent need for clean, affordable, and sustainable energy solutions, which highlights the importance of wind energy. In the global ...

• CSA-DE-LR: enhancing cardiovascular disease diagnosis with a novel hybrid machine learning approach 

  Dedeturk, Beyhan Adanur; Dedeturk, Bilge Kagan; Bakir-Gungor, Burcu (PEERJ INC, 2024)

  Cardiovascular diseases (CVD) are a leading cause of mortality globally, necessitating the development of efficient diagnostic tools. Machine learning (ML) and metaheuristic algorithms have become prevalent in addressing ...

• Basalt Fiber Reinforced Polymers: A Recent Approach to Electromagnetic Interference (EMI) Shielding 

  Fareez, Umar Naseef Mohamed; Loudiy, Aymen; Erkartal, Mustafa; Yilmaz, Cagatay (WILEY Online Library, 2025)

  Electromagnetic wave (EMW) radiation pollution is getting more severe as result of the advancement of electronic technology. Researching shielding materials with superior EMI (electromagnetic interference) shielding ...

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