• Nanoparticle innovations for mitigating metal toxicity in plants 

  Maryam; El-Mogy, Mohamed M.; Jan, Muhammad Faheem; Naz, Iram; Ahmad, Ishtiaq; Ahmad, Riaz; Altaf, Muhammad Tanveer (Tech Science Press, 2025)

  Various environmental stressors, such as salinity, heat, drought, and metals, present significant obstacles to crop productivity. This study delves into the adverse effects of metals, specifically focusing on cadmium (Cd), ...

• Body mass index and diabetes predict severity of liver fibrosis across the spectrum of steatotic liver disease 

  Kaya, Eda; Vilar-Gomez, Eduardo; Vuppalanchi, Raj; Yılmaz, Yusuf (Elsevier, 2025)

  Introduction and Objectives: Recent evidence indicates that metabolic dysfunction and alcohol-associated steatotic liver disease (MetALD), a newly defined subgroup of steatotic liver disease (SLD), may have a worse prognosis ...

• Predicting the environmental impact of financial development with machine learning algorithms 

  Kartal, Burcu; Karadağ, Haydar; Şit, Ahmet; Şit, Mustafa (Springer Nature, 2025)

  This study aimed to determine the importance levels of variables affecting carbon emissions. Various machine learning algorithms were used and their performances were compared. Energy consumption, gross domestic product ...

• Somatostatin and N-acetylcysteine on testicular damage triggered by ischemia reperfusion: cellular protection and antioxidant effects 

  Çiftel, Enver; Mercantepe, Tolga; Çiftel, Serpil; Karakaş, Sibel Mataracı; Aktepe, Rıza; Yılmaz, Adnan; Mercantepe, Filiz (Springer Nature, 2025)

  Ischemia–reperfusion (I/R) injury is a significant cause of testicular damage, leading to infertility and other reproductive dysfunctions. Antioxidant therapies have emerged as a potential intervention to mitigate oxidative ...

• Machine learning in finance: transformation of financial markets 

  Gün, Musa (Springer Nature, 2025)

  This study explores the transformative role of machine learning in the financial sector, highlighting its evolution, methodologies, and diverse applications. Driven by the force of improvements in artificial intelligence, ...

• A comparative analysis of artificial neural networks and time series models in exchange rate forecasting 

  Ürkmez, Emre (Springer Nature, 2025)

  This study aims to compare the performances in intra-period forecast values of the exchange rate, which is one of the classic linear time series models, ARIMA model, and one of machine learning methods, artificial neural ...

• The relationship between tranquility level and professional satisfaction in nurses 

  Genç Köse, Burcu; Gümüşler Başaran, Ayşe; Kefeli Çol, Bahar (Wiley, 2025)

  Aim: The study was conducted to determine the level of tranquility and professional satisfaction in nurses working in two different cities. Background: Peace of mind, the expectation of all individuals throughout life, is ...

• Clinical insights on resmetirom: clinical indications, patient selection, and monitoring response to therapy 

  Kaya, Eda; Yılmaz, Yusuf; Alkhouri, Naim (Lippincott Williams and Wilkins, 2025)

  The recent conditional approval by the Food and Drug Administration of resmetirom for treating metabolic dysfunction-associated steatohepatitis (MASH) with significant or advanced fibrosis represents a pivotal milestone ...

• Natural radionuclides in drinking water and annual effective dose to infant, child, and adult 

  Hodolli, Gezim; Dizman, Serdar; Kadiri, Sehad; Makolli, Sami; Kastrati, Labinot (IWA Publishing, 2025)

  This study assessed the annual effective dose from drinking water across different age categories, considering various sources of water. The water samples were collected from different locations, with the samples categorized ...

• Clinical and biochemical characteristics of a danish and turkish cohort of incident and prevalent patients with primary biliary cholangitis 

  Eruzun, Hasan; Bossen, Lars; Gökçe, Dilara Turan; Ergenç, İlkay; Harput, Zekiye Nur; Aydemir, Neslihan Güneş; Kayhan, Meral Akdoğan; Yapıcı, Hasan Basri; Doğan, Tugay; Holland-Fischer, Peter; Hansen, Jesper Bach; Yılmaz, Yusuf; Sezgin, Orhan; Adanır, Haydar; Bektaş, Ahmet; Grønbæk, Henning (AVES, 2025)

  Background/Aims: Primary biliary cholangitis (PBC) is a chronic liver disease influenced by environmental, genetic, and epigenetic factors, with varying incidence across populations. This study compared demographic, ...

• Combining fuzzy logic and genetic algorithms to optimize cost, time and quality in modern agriculture 

  Erdoğdu, Aylin; Dayı, Faruk; Yıldız, Ferah; Yanık, Ahmet; Ganji, Farshad (MDPI, 2025)

  This study presents a novel approach to managing the cost–time–quality trade-off in modern agriculture by integrating fuzzy logic with a genetic algorithm. Agriculture faces significant challenges due to climate variability, ...

• An analysis of the movement trajectories of the endangered acipenser gueldenstaedtii in ammonia-supplemented environments using image processing methods 

  Balcı, Beytullah Ahmet; Tonguç, Güray; Arslan, Muhammed Nurulla; Kurtoğlu, İlker Zeki; Sarı, Tuba (MDPI, 2025)

  In this study, the effect of ammonia on the Acipenser gueldenstaedtii was investigated using non-invasive methods. Different concentrations (100, 200, and 400 mg·lt−1) of ammonium chloride (NH4Cl) were added to the ...

• Syncope in pulmonary thromboembolism: a cross-sectional analysis of risk factors and the prognostic value of syncope 

  Özyurt, Songül; Özçelik, Neslihan; Şentürk Topaloğlu, Elvan; Kotan, Abdurrahman; Gümüş, Aziz; Şahin, Ünal (MDPI, 2025)

  Background/Objectives: This study investigated the frequency of syncope, factors associated with syncope, and the relationship between syncope and mortality in patients with pulmonary thromboembolism (PTE). Methods: This ...

• Can iron absorption in molasses be increased with probiotic additives? “molasses with increased bioavailability” 

  Yıldız, Yasin; Topçu, Atilla; Mercantepe, Tolga; Arpa, Medeni; Yıldız, İlknur Esen; Tümkaya, Levent (MDPI, 2025)

  Introduction: There are many studies on the chemical and enzymatic interactions of probiotics, and the effects of Lactobacillus plantarum 299v on iron absorption have been clearly shown. The aim of this study was to ...

• Characterization of microplastics in sediments and surface waters of Turkish lakes 

  Mutlu, Tanju; Ceylan, Yusuf; Baytaşoğlu, Hazel; Gedik, Kenan (Elsevier, 2025)

  This study examined microplastic (MP) pollution in the sediments and surface waters of seven distinct lakes in Turkey, aiming to assess the status and characteristics of MP contamination. Hydrogen peroxide was introduced ...

• Corrosion and mechanical performance of novel electrochemical oxidation coatings on AZ31 magnesium alloys for biomedical applications 

  Yavuzyeğit, Berzah; Karali, Katerina; Avcu, Egemen; De Mori, Arianna; Quizon, Daniel; Hacıosmanoğlu, Murat; Hekimoğlu, Ali Paşa; Smith, Nigel; Usov, Sergey; Shashkov, Pavel; Bonithon, Roxane; Blunn, Gordon (Elsevier, 2025)

  Magnesium-based implants offer significant benefits for biomedical applications due to their excellent biocompatibility and ability to biodegrade in physiological environments. However, their rapid corrosion can compromise ...

• Maritime security threats: Classifying and associating patterns in piracy and armed robbery incidents 

  Sevgili, Coskan; Çakır, Erkan; Fiskin, Remzi (Elsevier, 2025)

  Piracy and armed robbery (P&AR) incidents are one of the most significant security problems for the maritime industry. These incidents, which negatively affect maritime activities and cause disruptions in the global supply ...

• Comparative analysis of geometrical configurations in aero-thermal panel systems 

  Driss, Slah; El Hadi Attia, Mohammed; Cüce, Erdem; Driss, Zied; Abdel-Aziz, Moataz M. (Elsevier, 2025)

  This study investigates the influence of different collector geometries on the thermal and fluid dynamic performance of aero-thermal panels. Several configurations were analyzed, including single, two, five, and ten-panel ...

• Piperonal-derived (E)-2-(2-(Benzo[d][1,3]dioxol-5-ylmethylene)hydrazineyl)-4-(aryl)thiazole derivatives as potential therapeutic leads for diabetes and Alzheimer's disease: In vitro and in silico evaluation against α-glucosidase, α-amylase, acetylcholinesterase, and butyrylcholinesterase 

  Ahmad, Asif; Salar, Uzma; Özil, Musa; Baltaş, Nimet; Tariq, Syeda Sumayya; Ul-Haq, Zaheer; Khan, Khalid Mohammed; Shaheen, Farzana (Elsevier, 2025)

  A library of (E)-2-(2-(benzo[d][1,3]dioxol-5-ylmethylene)hydrazineyl)-4-(aryl)thiazole analogs were synthetic in a two-step reaction scheme and fully characterized by using various spectroscopic techniques. The synthetic ...

• Enhancing the understanding of liver fibrosis in type 2 diabetes: methodological considerations and future directions 

  El-Kassas, Mohamed; AlNaamani, Khalid M.; Yılmaz, Yusuf; Alswat, Khalid A. (Elsevier, 2025)

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