Irradiation of alternating dodecamers containing 2-chloro-2'-deoxyadenosine (Cl2dAdo) with ultraviolet light (254 nm) has been investigated. The photoconversion of Cl2dAdo into 2'-deoxyisoguanosine (isodGuo) and the completeness of the reaction were studied by reversed-phase HPLC and UV absorption spectra. The photosensitivity of Cl2dAdo within an oligonucleotide was found to be sequence-specific and depends on the nearest neighbor; 2'-deoxyguanosine residues accelerate the rate of photoconversion by a factor of 3.
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http://dx.doi.org/10.1021/tx00041a009 | DOI Listing |
Neurotherapeutics
January 2025
Department of Human Neurosciences, Sapienza University, Rome, Italy. Electronic address:
Ocrelizumab (OCR) and Natalizumab (NTZ) are highly effective treatments widely used in Multiple Sclerosis (MS). However, long-term, real-world comparative data on clinical effectiveness, safety and treatment persistence are limited. This retrospective analysis included relapsing and progressive MS patients initiating treatment at two Italian Universities ("La Sapienza" and "Federico II").
View Article and Find Full Text PDFSci Rep
January 2025
School of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture, Beijing, 100055, China.
Air pollution is a critical global environmental issue, further exacerbated by rapid industrialization and urbanization. Accurate prediction of air pollutant concentrations is essential for effective pollution prevention and control measures. The complex nature of pollutant data is influenced by fluctuating meteorological conditions, diverse pollution sources, and propagation processes, underscores the crucial importance of the spatial and temporal feature extraction for accurately predicting air pollutant concentrations.
View Article and Find Full Text PDFPhysiol Meas
January 2025
Department of Electronics and Communication , Delhi Technological University Department of Electronics and Communication, Delhi Technological university, Bawana, New Delhi-42, New Delhi, Delhi, 110042, INDIA.
A physiological signal-based Human-Computer Interaction (HCI) system provides a communication link between human emotional states and external devices. Accurately classifying these signals is vital for effective interaction, which requires extracting and selecting the most discriminative features to differentiate between various emotional states. This paper introduces the SMOTETomek-Correlated Interactive Reinforcement Learning (ST-CIRL) framework for anxiety classification, which leverages meta-descriptive statistics to enhance the state representation in the reinforcement learning process.
View Article and Find Full Text PDFBiomed Phys Eng Express
January 2025
Radiation Oncology, Emory University, Emory Midtown Hospital, Atlanta, Georgia, 30322, UNITED STATES.
Although radiotherapy techniques are the primary treatment for head and neck cancer (HNC), they are still associated with substantial toxicity, and side effect. Machine learning (ML) based radiomics models for predicting toxicity mostly rely on features extracted from pre-treatment imaging data. This study aims to compare different models in predicting radiation-induced xerostomia and sticky saliva in both early and late stage of HNC patients using CT and MRI image features along with demographics and dosimetric information.
View Article and Find Full Text PDFMater Horiz
January 2025
Department of Materials Science, University of Michigan, Ann Arbor, Michigan 48109, USA.
It is difficult to intuit how electronic structure features-such as band gap magnitude, location of band extrema, effective masses, -arise from the underlying crystal chemistry of a material. Here we present a strategy to distill sparse and chemically-interpretable tight-binding models from density functional theory calculations, enabling us to interpret how multiple orbital interactions in a 3D crystal conspire to shape the overall band structure. Applying this process to silicon, we show that its indirect gap arises from a competition between first and second nearest-neighbor bonds-where second nearest-neighbor interactions pull the conduction band down from Γ to X in a cosine shape, but the first nearest-neighbor bonds push the band up near X, resulting in the characteristic dip of the silicon conduction band.
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