TY - JOUR AU - Aalilou, Youssra AU - Hassoun, Mustapha AU - Moussa, Hanaa AU - Zengin, Gokhan AU - Ak, Güneş AU - Ullah, Riaz AU - Alotaibi, Amal AU - Bouyahya, Abdelhakim AU - Faouzi, My El Abbes TI - Phytochemistry diversity and antioxidant activities of Cladostephus spongiosus (Hudson) C. Agardh JF - BIOCHEMICAL SYSTEMATICS AND ECOLOGY J2 - BIOCHEM SYST ECOL VL - 124 PY - 2026 SP - 105160 SN - 0305-1978 DO - 10.1016/j.bse.2025.105160 UR - https://m2.mtmt.hu/api/publication/36413939 ID - 36413939 N1 - Faculté de Médecine et de Pharmacie de Rabat, Laboratory of Pharmacology and Toxicology, Rabat, Morocco Université Abdelmalek Essaadi, Department of Biology, Tetouan, Morocco Selçuk Üniversitesi, Department of Biology, Selçuklu, Turkey College of Pharmacy, Medicinal Aromatic and Poisonous Plants Research Center, Riyadh, Saudi Arabia Princess Nourah Bint Abdulrahman University, Department of Basic Sciences, Riyadh, Saudi Arabia Faculté des Sciences Rabat, Department of Biology, Rabat, Morocco Universitas Airlangga, Department of Pharmacy Practice, Surabaya, Indonesia Export Date: 03 November 2025; Cited By: 0; Correspondence Address: A. Bouyahya; Laboratory of Human Pathologies Biology, Department of Biology, Faculty of Sciences, Mohammed V University in Rabat, Rabat, 10106, Morocco; email: a.bouyahya@um5r.ac.ma; CODEN: BSECB LA - English DB - MTMT ER - TY - JOUR AU - Abbas, Mahmoud AU - Abd El-Aal, Reda M. AU - Beshta, Amira M. AU - Abbas, Dalia M. TI - Corrosion Inhibition of Monel 400 in 1M HCl Using a Novel Eco Inhibitor Curcumin and Bis Curcumin Bis Azodye JF - EGYPTIAN JOURNAL OF CHEMISTRY J2 - EGYPT J CHEM VL - 69 PY - 2026 IS - 2 SP - 161 EP - 178 PG - 18 SN - 0449-2285 DO - 10.21608/ejchem.2025.404494.12051 UR - https://m2.mtmt.hu/api/publication/36508977 ID - 36508977 LA - English DB - MTMT ER - TY - JOUR AU - Abbondati, Matteo AU - Guerrini, Eleonora AU - Lebreton, Romain TI - Simultaneous rational number codes: Decoding beyond half the minimum distance with multiplicities and bad primes JF - JOURNAL OF SYMBOLIC COMPUTATION J2 - J SYMB COMPUT VL - 132 PY - 2026 PG - 33 SN - 0747-7171 DO - 10.1016/j.jsc.2025.102481 UR - https://m2.mtmt.hu/api/publication/36519571 ID - 36519571 LA - English DB - MTMT ER - TY - JOUR AU - Abdalla, Karmand Hussein AU - Daneshfar, Fatemeh AU - Hosseini, Eghbal AU - Oussalah, Mourad TI - HyOCNN: Hybrid-optimized convolutional neural network for robust image classification JF - BIOMEDICAL SIGNAL PROCESSING AND CONTROL J2 - BIOMED SIGNAL PROCES VL - 113 PY - 2026 SP - 109040 SN - 1746-8094 DO - 10.1016/j.bspc.2025.109040 UR - https://m2.mtmt.hu/api/publication/36443275 ID - 36443275 LA - English DB - MTMT ER - TY - JOUR AU - Abdelghafar, KA. AU - Choi, DS. AU - Askar, K TI - Ab initio study of N2V color center in lonsdaleite/diamond dual structure: A two-site Hubbard model JF - COMPUTATIONAL MATERIALS SCIENCE J2 - COMP MATER SCI VL - 263 PY - 2026 SN - 0927-0256 DO - 10.1016/j.commatsci.2025.114412 UR - https://m2.mtmt.hu/api/publication/36507534 ID - 36507534 LA - English DB - MTMT ER - TY - JOUR AU - Abdelmawgood, Islam Ahmed AU - Kotb, Dina M. M. AU - Mostafa, Ahmed Ezzat AU - Sharaf, Bahaa AU - Ramadan, Sohaib Ali AU - Isamil, Seif AU - Moataz, Ali AU - Abdelghany, Mariam AU - Hussien, Donia Mohamed AU - Boushra, Michael Ibrahim TI - Emerging role and interplay of programmed cell death in endometritis: Insights into mechanisms and therapeutic targets JF - REPRODUCTIVE BIOLOGY J2 - REPROD BIOL VL - 26 PY - 2026 IS - 1 PG - 16 SN - 1642-431X DO - 10.1016/j.repbio.2025.101098 UR - https://m2.mtmt.hu/api/publication/36468332 ID - 36468332 N1 - Faculty of Science, Giza, Giza, Egypt Faculty of Science, Molecular Biotechnology Program, Helwan, Cairo, Egypt Faculty of Science, Department of Biotechnology, Giza, Giza, Egypt Export Date: 16 December 2025; Cited By: 0; Correspondence Address: I.A. Abdelmawgood; Zoology Department, Faculty of Science, Cairo University, Giza, 12613, Egypt; email: ikasem@sci.cu.edu.eg AB - Endometritis is the inflammation of the endometrial lining, frequently linked to pelvic pain. Endometritis is significantly associated with postpartum problems, including infertility. Programmed cell death (PCD) is a genetically regulated mechanism of autonomic and regulated cell death that preserves homeostasis and promotes development. PCD, which includes apoptosis, pyroptosis, autophagy, ferroptosis, and necroptosis, is essential in the pathogenesis of reproductive diseases, including endometritis. Despite the limited study on PCD in endometritis, it is essential to identify important molecules and comprehend their regulatory functions for effective disease prevention and management. This review delineates the different types of PCD and their interactions in endometritis. It also evaluates the progress in PCD research pertaining to endometritis. The objective is to create a basis for subsequent investigations into the function and interaction of PCD in endometritis. We anticipate that this study will facilitate the exploration of novel PCD targets for endometritis treatment, hence encouraging comprehensive research. LA - English DB - MTMT ER - TY - JOUR AU - Abdeltawab, Ahmed AU - Xi, Zhang AU - Longjia, Zhang AU - Galal, Ahmed M. TI - Wavelet-based hybrid CNN-BiLSTM approach in tool wear monitoring JF - DIGITAL SIGNAL PROCESSING J2 - DIGIT SIGNAL PROCESS VL - 168 PY - 2026 PG - 25 SN - 1051-2004 DO - 10.1016/j.dsp.2025.105529 UR - https://m2.mtmt.hu/api/publication/36439253 ID - 36439253 N1 - Funding Agency and Grant Number: Chinese Scholarship Council (CSC) Funding text: We would like to express our sincere gratitude to the Chinese Scholarship Council (CSC) for their financial support. Part number: B AB - Recent advancements in deep learning techniques have revolutionized modeling from raw sensor data, leading to more challenges in tool wear monitoring. An effective tool wear monitoring model ensures reliable and efficient manufacturing processes. This work presents a novel approach that combines wavelet transform techniques for multiresolution analysis with a hybrid deep learning method for tool wear identification. The proposed model incorporates the Maximal Overlap Discrete Wavelet Transform (MODWT) for raw signal preprocessing, paired with a hybrid deep learning architecture that combines CNNs and BiLSTM. First, to identify the most significant information related to tool condition, the energy distribution across each MODWT decomposition level is analyzed. Higher decomposition levels play a critical role in capturing the cutting signal's medium- and low-frequency components, which are crucial for detecting significant changes in the tool wear progression. Then, the effectiveness of the proposed model was evaluated and compared to other widely used deep learning models using milling datasets. The results show that the MODWT-CNN-BiLSTM model consistently outperforms other models in terms of key performance metrics, including Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and regression coefficient (R-2) across all datasets. Specifically, the proposed model achieved the lowest MAE (0.0197) and RMSE (0.0276), along with the highest R-2 value (0.9839), demonstrating superior accuracy and reliability. This approach underscores the effectiveness of combining wavelet-based analysis, such as MODWT, with deep learning techniques like CNNs and BiLSTM for tool wear monitoring in practical milling operations. LA - English DB - MTMT ER - TY - JOUR AU - Abd, Halim Muhammad Syawal AU - Hadi, Normi Abdul AU - Nayan, Asmahani AU - Varlamova, Lyudmila TI - Cubic Trigonometric Triangular Spline with Rational Basis Functions in 3-Dimensional Space JF - JOURNAL OF ADVANCED RESEARCH IN APPLIED SCIENCES AND ENGINEERING TECHNOLOGY J2 - JOURNAL OF ADVANCED RESEARCH IN APPLIED SCIENCES AND ENGINEERING TECHNOLOGY VL - 56 PY - 2026 IS - 2 SP - 74 EP - 90 PG - 17 SN - 2462-1943 DO - 10.37934/araset.56.2.7490 UR - https://m2.mtmt.hu/api/publication/36267405 ID - 36267405 LA - English DB - MTMT ER - TY - JOUR AU - Abdolalipouradl, Mehran AU - Namkhah, Mohammad AU - Mohammadkhani, Farzad AU - Yari, Mortaza TI - Comparison of power generation from high-potential geothermal fields of Iran: Thermodynamic and exergoeconomic assessment of different configurations JF - APPLIED THERMAL ENGINEERING J2 - APPL THERM ENG VL - 282 PY - 2026 PG - 23 SN - 1359-4311 DO - 10.1016/j.applthermaleng.2025.128769 UR - https://m2.mtmt.hu/api/publication/36512892 ID - 36512892 LA - English DB - MTMT ER - TY - JOUR AU - Abdolnabizadeh, Mohammadali AU - Allahyari, Somaiyeh AU - Rahemi, Nader AU - Musazad, Solmaz AU - Tasbihi, Minoo TI - Boosting photocatalytic activity of BiOBr via CNT and metallic bismuth plasmonic effects for antibiotic removal from water JF - JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY A-CHEMISTRY J2 - J PHOTOCH PHOTOBIO A VL - 471 PY - 2026 SP - 116734 SN - 1010-6030 DO - 10.1016/j.jphotochem.2025.116734 UR - https://m2.mtmt.hu/api/publication/36359029 ID - 36359029 LA - English DB - MTMT ER -