excel sheet

Most promoters are derived from an arbitrary truncation of sequences upstream from the transcription start site of a gene, which is typically around 1,000 base pairs. Since the truncation is arbitrary, regulatory elements might be missing for transcription. Unfortunately, there exists no reasonable rationale for selecting a truncation threshold. Therefore, providing a reasonable rationale for truncation is crucial for obtaining the expected expression profiles of genes.
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Comprehensive dataset (5000 spectra) of simulated grating biosensor reflections in Excel format. Generated via Lumerical FDTD, it includes 11 parameters (thickness, RI, peak wavelength, FWHM, reflectance, etc.). It is ideal for data visualization, sensor response exploration, and AI/ML benchmarking. The full dataset in Excel format is coming soon! Follow this repository to be notified when it's released. In the meantime, feel free to browse the README for more information about the project.
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A high-efficiency energy storage battery technology development project was officially launched, attracting seven experts from different institutions to participate and form a high-efficiency energy storage battery R&D collaboration network. Based on the participants' previous project collaboration experience, three overlapping subgroups naturally formed in the network. After the research and development are completed, the nine members must jointly evaluate the most suitable TT path for the energy storage battery technology.
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With the development of artificial intelligence, new possibilities have been opened up for the diagnosis and prevention of osteoporosis. We have successfully constructed an osteoporosis risk prediction model using deep learning algorithms, combined with demographic data and laboratory results. To further promote human health, we will publicly disclose the dataset we used, which includes 2,186 cases of males over 50 years old and postmenopausal females.
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With the increase in world population, agricultural planning is significant to ensure food security. Timely recommendations for crops could be valuable for planning food production and maintaining food sustainability. This proposed work suggests a crop recommendation model considering physical soil characteristics, chemical soil characteristics, climate, and crop characteristics, using Improved Deep Belief Networks (IDBN). For this study, four important Indian crops—rice, maize, finger millet and sugarcane were taken into account.
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It contains genuine user feedback on electric bikes, gathered through comments shared by customers after purchasing and using an electric vehicle (EV). These comments provide valuable insights into the user experience, highlighting aspects such as performance, convenience, challenges, and satisfaction levels. This information is particularly useful for conducting sentiment analysis to understand customer emotions, preferences, and concerns.
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Transcranial Magnetic Stimulation (TMS) is a neuromodulation procedure used to treat psychiatric and neurological disorders. When electroencephalography (EEG), a neuroimaging technique, is applied in conjunction with TMS, the analysis of resting-state EEG activity can be used to quantify functional connectivity (FC) in the brain. These modulations can then be related to a subject’s resting motor threshold (RMT), a baseline parameter in TMS therapy that determines the treatment intensity (dose) of subjects undergoing TMS.
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Expert opinions were gathered using an online survey conducted through Microsoft Forms to assess the relative importance of various factors in a welding and operational efficiency context. The factors evaluated included Labor Efficiency (LE), Operational Efficiency (OE), job weight, weld volume, and skill level. Participants were asked to compare these factors in terms of their importance relative to each other.
Key findings from the survey indicated the following:
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The efficient operation of interconnected power systems relies on Load Frequency Control (LFC) to maintain stable frequency and regulate tie-line power flow between distinct areas. In modern setups, LFC parameters are monitored and processed in real-time through cloud-based platforms, enabling centralized control and optimization. However, this introduces vulnerabilities, as demonstrated by the susceptibility to attacks such as scaling, ramp, and random manipulations of data transmitted between areas and the cloud server.
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