The analysis of MMP2, MMP3 and MMP9 matrix metalloproteinases genes polymorphism among Russian Caucasian patients with primary open-angle glaucoma by A.V. Shevchenko, V.F. Prokof’ev, V.I. Konenkov, O.V. Ermakova, A.N. Trunov

“…The significant role of matrix metalloproteinases (MMPs) in the remodeling of eye structures during the development of glaucoma is widely discussed in the scientific literature. …”
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Precision and Reliability of a Dynamometer for Trunk Extension Strength and Steadiness Assessment by Franciele Parolini, Márcio Goethel, Johan Robalino, Klaus Becker, Manoela Sousa, Barbara C. Pulcineli, Ulysses F. Ervilha, João Paulo Vilas-Boas, Rubim Santos

“…A single-point load cell system, encapsulated within a 3D-printed structure and connected to a Delsys system^® at a sampling frequency of 2000 Hz, was used for data acquisition. …”
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Sediment Provenance and Facies Analysis of the Huagang Formation in the Y-Area of the Central Anticlinal Zone, Xihu Sag, East China Sea by Xiao Ma, Wei Yan, Yi Yang, Ru Sun, Yue Chao, Guoqing Zhang, Chao Yang, Shudi Zhang, Dapeng Su, Guangxue Zhang, Hong Xu

“…Recent breakthrough exploration wells in the Huagang Formation in the Y-area of the central anticlinal zone of the Xihu Sag have confirmed the significant exploration potential of structure–lithology complex hydrocarbon reservoirs. …”
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Genetic Diversity and Population Differentiation of Yangtze Finless Porpoise in Poyang Lake by Han Zhang, Denghua Yin, Jianglong Que, Xiaoyan Zhu, Danqing Lin, Congping Ying, Jinxiang Yu, Kai Liu

“…This finding was further corroborated by STRUCTURE analysis, which revealed genetic admixture between the two populations. …”
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Genome-wide analysis to detect multi-drug resistance genes in Mycobacterium tuberculosis strains SWLPK and MNPK resourced from Pakistan by Maria Rafique, Muhammad Ibrahim, Sumaira Kanwal, Habib Bokhari, Farrukh Jamil, Annam Hussain, Muhammad Asif Rasheed

“…A 3D structure was modelled by I-TASSER, while refinement and minimizations were performed using the UCSF Chimera 1.14.1. …”
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Real-Time Integration of Optical Coherence Tomography Thickness Map Overlays for Enhanced Visualization in Epiretinal Membrane Surgery: A Pilot Study by Ferhat Turgut, Keisuke Ueda, Amr Saad, Tahm Spitznagel, Luca von Felten, Takashi Matsumoto, Rui Santos, Marc D. de Smet, Zoltán Zsolt Nagy, Matthias D. Becker, Gábor Márk Somfai

“…Subsequently, for consecutive frames, feature point extraction (the Shi–Tomasi method) and optical flow computation (the Lucas–Kanade algorithm) were used to calculate frame-by-frame transformations, which were applied to the OCT image to maintain alignment in near real time. (3) Results: The method achieved a 92.7% success rate in optical flow detection and maintained an average processing speed of 7.56 frames per second (FPS), demonstrating the feasibility of near real-time application. (4) Conclusions: The developed approach facilitates enhanced intraoperative visualization, providing surgeons with easier retinal structure identification which results in more comprehensive data-driven decisions. …”
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Activity and Operational Loss of IrO₂-Ta₂O₅/Ti Anodes During Oxygen Evolution in Acidic Solutions by Jovana Bošnjaković, Maja Stevanović, Marija Mihailović, Vojin M. Tadić, Jasmina Stevanović, Vladimir Panić, Gavrilo Šekularac

“…The as-prepared anode was deactivated using an accelerated stability test in an acid solution, the EW simulating electrolyte. The obtained data are correlated with fundamental electrochemical properties of OEA, such as structure-related pseudocapacitive responses at open circuit potential in the same operating environment. …”
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Simultaneous Wavelength and Format Conversions Based on the Polarization-Insensitive FWM in Free-Space Optical Communication Network by Xinning Huang, Yulong Suh, Tao Duan, Hui Hu, Xin Xu, Xiaoping Xie

“…Meanwhile, format conversion to lower the data rate is also necessary in case the atmospheric channel deteriorates. …”
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Spread of Multi-Antibiotic-Resistant Health-Care Pathogens in Hospitals to Treat COVID-19 Patients by A. E. Goncharov, L. P. Zueva, A. S. Mokhov, V. V. Kolodzhieva, A. A. Meltser, M. V. Smirnova, T. V. Khavlina, E. A. Orishak

“…It was found that carbapenem resistant gram-negative bacteria predominate in the structure of the nosocomial microbiota of the respiratory tract of patients with COVID-19 in both hospitals. …”
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Drug-related community issues and the required interventions in open drug scenes in Tehran, Iran: a qualitative study protocol by Mohammad Bagher Saberi Zafarghandi, Sahar Eshrati, Meroe Vameghi, Hadi Ranjbar, Reza Arezoomandan, Thomas Clausen, Helge Waal

“…Data collection techniques encompass field observation, indepth interview and focus group discussion. …”
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New approach of PV and thermal modeling to develop feasible cooling solutions for PV in buildings by Cornago Iñaki, Ezquer Mikel, Sorbet Francisco Javier, Kalms Alicia, Diarce Gonzalo, Irulegi Olatz, Zaversky Fritz

“…This work presents a straightforward Building Applied PhotoVoltaic-Thermal element, characterized by its ease of implementation, utilizing conventional photovoltaic modules and standard supporting structures to form a narrow air ventilation channel with the roof of the building. …”
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Effect of acupuncture on episodic memory for amnestic mild cognitive impairment based on hippocampal subregion: study protocol of a randomized, controlled trial by Xinbei Li, Xingying Lu, Juan Ou, Hanqing Lyu, Yongfeng Liu, Jinhuan Zhang

“…BackgroundThe hippocampus is a key brain region for episodic memory, and impairment of episodic memory is the earliest feature of amnestic mild cognitive impairment (aMCI). Preserving the structure and function of the hippocampus plays a key role in preventing progression to Alzheimer’s disease (AD). …”
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Modeling and application of temperature-dependent elastic constants in continuous fiber-reinforced shape memory polymer composites by Jiajun Chen, Chen Du, Wenwu Zhang, Penghui Zhu, Qinghu Wang, Xiongqi Peng

“…This framework bridges critical gaps between micromechanical theory and macroscale SMPC performance, providing a robust tool for multi-physics-coupled smart structure design.…”
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MDNN-DTA: a multimodal deep neural network for drug-target affinity prediction by Xu Gao, Xu Gao, Mengfan Yan, Mengfan Yan, Chengwei Zhang, Chengwei Zhang, Gang Wu, Gang Wu, Jiandong Shang, Jiandong Shang, Congxiang Zhang, Congxiang Zhang, Kecheng Yang, Kecheng Yang

“…One notable strength of our method is its ability to accurately predict DTA directly from the sequences of the target proteins, obviating the need for protein 3D structures, which are frequently unavailable in drug discovery. …”
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Supervised Machine Learning Thyroid Carcinoma Diagnosis Using Wide-Field SHG Microscopy by Yaraslau Padrez, Radu Hristu, Igor Timoshchenko, Lucian G. Eftimie, Danielis Rutkauskas, Lena Golubewa

“…Among all models, C-SVC achieved the highest accuracy (84.73%) with robust generalization to unknown data, significantly outperforming standard ML approaches (60–70%). …”
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Minimally invasive nephrectomy for inflammatory renal disease by Paula Andrea Peña, Lynda Torres-Castellanos, Germán Patiño, Stefanía Prada, Luis Gabriel Villarraga, Nicolás Fernández

“…Our experience supports that releasing the kidney first and leaving the hilum for the end is a safe approach when vascular structures are embedded into a single block of inflammatory and scar tissue.…”
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Assisted Parkinsonism Diagnosis Using Multimodal MRI—The Role of Clinical Insights by Tobias Meindl, Alexander Hapfelmeier, Tobias Mantel, Angela Jochim, Jonas Deppe, Silke Zwirner, Jan S. Kirschke, Yong Li, Bernhard Haslinger

“…The most discriminatory variables were responsiveness to levodopa, vertical gaze palsy, and the volumes of subcortical structures, including the red nucleus. Conclusion Machine‐learning‐assisted classification of MR‐imaging biomarkers gathered in routine care can assist in the diagnosis of parkinsonian syndromes as part of the diagnostic workup. …”
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Universal machine learning interatomic potentials poised to supplant DFT in modeling general defects in metals and random alloys by Fei Shuang, Zixiong Wei, Kai Liu, Wei Gao, Poulumi Dey

“…A detailed case study of tungsten (W) demonstrates that data on pure W alone is insufficient for modeling complex defects in uMLIPs, underscoring the critical importance of advanced machine learning architectures and diverse datasets, which include over 100 million structures spanning all elements. …”
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Machine Learning for Long COVID Inference Based on the Acute Phase: A Case Study in Healthcare Professionals by Caio B. S. Maior, Sandrely P. Silva, Isis D. Lins, Ana Lisa Gomes, Marcio C. Moura

“…Since 2021, the COVID-19 pandemic has affected global health, economies, and societal structures, leading to great attention to new research and awareness. …”
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Synthesis and molecular modeling of new triazole-bithiazole conjugates as antimicrobial agents by Hadeer Mattar, Gadeer R.S. Ashour, Mansoor Alsahag, Ali Alisaac, Matokah M. Abualnaja, Adel I. Alalawy, Fatmah O. Sefrji, Nashwa M. El-Metwaly

“…The various spectroscopic techniques, such as IR, NMR and MS, confirmed the suggested chemical structure of isolated hybrids. The DFT studies of the produced derivatives revealed twisted configuration except for the parent 2, how was planar. …”
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