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 - 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 - 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 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 - 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 - TY - CHAP AU - Abdul Kadir, Tuty Asmawaty AU - Abdul Hamid, Siti Suhaila AU - Zulkifli, Nor Saradatul Akmar AU - Nincarean, Danakorn AU - Baharom, Mohamad Zairi AU - Misdar, Ahmad Faisal Azri AU - Ismail, Mohd Ghadafi AU - Ab Razak, Nik Nurul Ain Nabilah Nik ED - Hassan, Mohd Hasnun Arif ED - Jamaludin, Ahmad Shahir ED - Bin Zakaria, Muhammad Aizzat ED - Usman, Fahad ED - Uchidate, Michimasa TI - Virtual Reality Training and Hazards Simulation—A Case Study for Chemical Loading Process T2 - Intelligent Manufacturing and Mechatronics PB - Springer Nature Singapore CY - Singapore SN - 9789819677030 T3 - Lecture Notes in Mechanical Engineering, ISSN 2195-4356 PY - 2026 SP - 509 EP - 517 PG - 9 DO - 10.1007/978-981-96-7703-0_48 UR - https://m2.mtmt.hu/api/publication/36412782 ID - 36412782 LA - English DB - MTMT ER - TY - JOUR AU - Abdullah, Alkaddour AU - Mirna, Ahmad Shadoud AU - Masoumeh, Hashemi AU - Fares, Mahmoud AU - Muhannad, Hammad AU - Youssef, M. Youssef AU - Mucsi, László TI - Urban flood susceptibility mapping using the AHP model and geospatial tools in Quwaiq River Basin, Aleppo Governorate, Syria JF - DYSONA - APPLIED SCIENCE J2 - DYSONA - APPLIED SCIENCE VL - 7 PY - 2026 IS - 1 SP - 1 SN - 2708-6283 DO - 10.30493/das.2025.514366 UR - https://m2.mtmt.hu/api/publication/36284069 ID - 36284069 LA - English DB - MTMT ER - TY - CHAP AU - Abdullah, Milad AU - Hnětynka, Petr AU - Jiyan, Mahmud ED - Bianculli, Domenico ED - Sartaj, Hassan ED - Andrikopoulos, Vasilios ED - Pautasso, Cesare ED - Mikkonen, Tommi ED - Perez, Jennifer ED - Bureš, Tomáš ED - De Sanctis, Martina ED - Muccini, Henry ED - Navarro, Elena ED - Soliman, Mohamed ED - Zdun, Uwe TI - Temporal Harmonization of Heterogeneous Software Logs: A Unified Model for Time-Series Analysis T2 - Software Architecture. ECSA 2025 Tracks and Workshops PB - Springer Nature Switzerland CY - Cham SN - 9783032044037 T3 - Lecture Notes in Computer Science, ISSN 0302-9743 ; 15982. PY - 2026 SP - 345 EP - 353 PG - 9 DO - 10.1007/978-3-032-04403-7_29 UR - https://m2.mtmt.hu/api/publication/36415504 ID - 36415504 LA - English DB - MTMT ER - TY - JOUR AU - Abe, Y. AU - Kubo, A. AU - Ukai, S. AU - Tsuru, T. TI - First-principles-based equilibrium Monte Carlo simulations of Cr-rich cluster stability in Fe–Cr–Al alloys: Effects of Al content and vacancies on the transition from promotion to suppression JF - JOURNAL OF NUCLEAR MATERIALS J2 - J NUCL MATER VL - 618 PY - 2026 SN - 0022-3115 DO - 10.1016/j.jnucmat.2025.156221 UR - https://m2.mtmt.hu/api/publication/36472284 ID - 36472284 LA - English DB - MTMT ER -