Explore DeepMainMast for protein structure modeling on web servers like EM Server, Google Colab, or through source code. Gain insights into computational time limits, hardware parameters, model availability, installation process, and integrated protocols. Register on the web server for access and ut

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Bioinformatics involves analyzing biological sequences through sequence alignment to uncover functional, structural, and evolutionary insights. This process helps in tasks like annotation of sequences, modeling protein structures, and analyzing gene expression experiments. Basic steps include compar

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Multiple Sequence Alignment (MSA) is essential for various biological analyses like phylogeny estimation and selection quantification. Profile Hidden Markov Models (HMMs) play a crucial role in achieving accurate alignments. This process involves aligning unaligned sequences to create alignments wit

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The U.S. Army Modeling and Simulation Office (AMSO) serves as the lead activity in developing strategy and policy for the Army Modeling and Simulation Enterprise. It focuses on effective governance, resource management, coordination across various community areas, and training the Army Analysis, Mod

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Fibonacci numbers are a sequence of numbers starting with 0, 1, where each number is the sum of the two preceding numbers. This sequence, discovered by Leonardo Fibonacci, displays a fascinating relationship to the Golden Ratio when examining the ratios of consecutive numbers. The Golden Ratio, appr

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This presentation unveils the Capacity Zone modeling calculations for Forward Capacity Auction 17 associated with the 2026-2027 Capacity Commitment Period by ISO-NE PUBLIC. It delves into boundary definitions, import-constrained zone modeling, and market rules guiding the assessments and modeling pr

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This document delves into the modeling, optimization, and simulation of power distribution systems, specifically focusing on Distribution Feeder Modeling and Analysis. It covers the components of a typical distribution feeder, series components, Wye-Connected Voltage Regulator modeling, and equation

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Data modeling involves exploring data-oriented structures, identifying entity types, and assigning attributes similar to class modeling in object-oriented development. Object models should not be solely based on existing data schemas due to impedance mismatches between object and relational paradigm

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Workshop on joint efforts between IEEE 802 and ITU-T Study Group 15 focused on information modeling, data modeling, and system control in the realm of transport systems and equipment. The mandate covers technology architecture, function management, and modeling methodologies like UML to YANG generat

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Geometric modeling in computer-aided design (CAD) is crucially done in three key ways: wireframe modeling, surface modeling, and solid modeling. Wireframe modeling represents objects by their edges, whereas surface modeling uses surfaces, vertices, and edges to construct components like a box. Each

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UML sequence diagrams depict how objects interact in a given scenario, showcasing messages sent between targets on lifelines. They are valuable for detailing use cases, modeling logic, task flow between components, and understanding process functionality. Objects, boundaries, controls, and stereotyp

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Mathematical modeling plays a crucial role in solving engineering problems efficiently. Numerical methods are powerful tools essential for problem-solving and learning. This chapter explores the importance of studying numerical methods, the concept of mathematical modeling, and the evaluation proces

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Explore the concept of sequence generators in digital circuits, focusing on PN sequence lengths, feedback taps, XOR gates, and designing patterns with examples and visual aids, including Karnaugh maps.

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Discover the fascinating world of Fibonacci sequence through the lens of bees, sunflowers, and mathematical patterns in nature. Learn about the Fibonacci numbers, bee colonies, the beauty of sunflowers, and the mathematical properties of squares. Dive into the history of Leonardo of Pisa and his con

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Dynamic Structural Equation Modeling (DSEM) is a powerful analytical tool used to analyze intensive longitudinal data, combining multilevel modeling, time series modeling, structural equation modeling, and time-varying effects modeling. By modeling correlations and changes over time at both individu

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System Sequence Diagrams (SSDs) are vital artifacts that visually illustrate input and output events related to a system. They help define system behavior and interactions, making them essential during the logical design phase of software applications. By depicting events in sequential order, SSDs o

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This study explores the impact of the Cue-Do-Review sequence on teaching assistant and student perceptions of learning. The process involves TAs completing surveys, professional development sessions, implementing the sequence, and final surveys. Results show changes in perceptions before and after i

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Object modeling is a crucial concept in software development, capturing the static structure of a system by depicting objects, their relationships, attributes, and operations. This modeling method aids in demonstrating systems to stakeholders and promotes a deeper understanding of real-world entitie

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Samantha explores sequence patterns with a sequence-generating machine starting with 2 rabbits. She analyzes the pattern, predicts the next terms, and starts a new sequence with an initial value of 5. Join her in creating and organizing sequence families based on growth patterns, finding sequence ge

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Coupled ocean-atmosphere modeling on horizontally icosahedral and vertically hybrid-isentropic/isopycnic grids is a cutting-edge approach to modeling climate variability. The design goals aim to achieve a global domain with no grid mismatch at the ocean-atmosphere interface, with key indicators such

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Sequence alignment is the comparison of DNA or protein sequences to highlight similarities, often indicating a common ancestral sequence. This process is essential in determining homology and functional similarities between sequences. Types of alignment include global and local alignment, with chall

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Explore the concepts of homology, orthologs, and paralogs in bioinformatics, along with different types of sequence alignment such as global, local, and semi-global. Learn about popular alignment tools like Blast and Fasta and how they are used for analyzing sequences. Dive into the world of NCBI an

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Sequence alignment is crucial in bioinformatics for identifying similarities between DNA, RNA, or protein sequences. Methods like Pairwise Alignment and Multiple Sequence Alignment help in recognizing functional, structural, and evolutionary relationships among sequences. The Needleman-Wunsch algori

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EMBOSS Needle is a pairwise sequence alignment tool that uses the Needleman-Wunsch algorithm to find the optimal global alignment between two input sequences. It is available online through EMBOSS and requires entering two protein/DNA sequences of the same length to generate alignment results, inclu

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A research project at Bowling Green State University aims to identify 3D motifs in RNA hairpin and internal loops using sequence and secondary structure information. The study focuses on finding likely sequence variants of known motifs, leveraging geometric considerations and basepair isostericity f

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In this content, we dive into the fundamentals of sequence alignment, Opt score computation, reconstructing alignments, local alignments, affine gap costs, space-saving measures, and scoring matrices for DNA and protein sequences. We explore the Smith-Waterman algorithm (SW) for local sequence align

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FASMEE is a collaborative project aimed at assessing and advancing fire and smoke modeling systems through critical measurement techniques and observational data. Led by key technical leads, FASMEE focuses on diverse modeling areas such as fire growth, effects, coupled fire-atmosphere behavior, smok

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In this lesson, we delve into subarea and corridor studies focusing on travel demand model refinements, highway network coding, corridor congestion relief, and trip assignment theory. Subarea modeling plays a crucial role in forecasting travel within smaller regions with detailed traffic patterns, t

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Ensure clarity on modeling goals and uncertainties. Select sample areas strategically based on interest and available data. Determine appropriate resolution for modeling. Define variables to model and validate the model effectively. Assess sample data adequacy and predictor variables availability. E

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This presentation by Justine Carroll, P.E., Project Manager, focuses on the hydraulic modeling and water quality considerations related to water storage tanks. It covers topics such as water age evaluation, steady state modeling, extended period simulations, pump controls, demand patterns, EPS verif

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Irina Tezaur leads the Quantitative Modeling & Analysis Department, focusing on computational modeling and simulation of complex multi-scale, multi-physics problems. Her work benefits DOE nuclear weapons, national security, and climate missions. By employing innovative techniques like model order re

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A new flexible framework for forward and inverse modeling of stormwater lids is presented. It includes governing equations, hydraulic and contaminant transport, numerical methods, and demonstration cases for various green infrastructure components. The importance of different processes in modeling i

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Explore the world of Automated Speech Recognition (ASR), including setup, basics, observations, preprocessing, language modeling, acoustic modeling, and Hidden Markov Models. Learn about the process of converting speech signals into transcriptions, the importance of language modeling in ASR accuracy

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Weekly coordination calls with Ramboll and discussions with EPA OAQPS leads focused on Regional Haze and modeling adjustments. Final draft of procedures document with visibility projections and glide slope adjustments. Upcoming RTOWG meetings covering methodology, projections, and modeling evaluatio

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Introduction to data modeling and design in Industrial Information Systems at King Saud University College of Engineering. The chapter covers the significance of data modeling, capturing data characteristics, structural information, and the role of databases and DBMS. Data modeling fills crucial gap

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Mega-Modeling is a comprehensive approach that encompasses model construction, evaluation, composition, evolution, and search to address challenges in various areas such as social and economic resilience, health, transportation, and energy management. The pillars of Mega-Modeling include Model-Drive

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In the domain of neural networks, the Transformer architecture has revolutionized sequence-to-sequence translation tasks. This involves attention mechanisms, multi-head attention, transformer encoder layers, and positional embeddings to enhance the translation process. Additionally, Encoder-Decoder

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The opening sequence of "Higher English" delves into the intricate themes of control, power, deception, and the clash between Italian tradition and American values. Through the characters and dialogues, the sequence explores concepts of justice, violence, crime, corruption, honor, family, and the Am

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NetLogo is a powerful and versatile programmable modeling environment created by Uri Wilensky in 1999. It allows users to simulate natural and social phenomena by giving instructions to multiple agents operating independently, making it ideal for modeling complex systems evolving over time. NetLogo

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Sequence diagrams depict the sequence of actions in a system, capturing the invocation of methods in objects. They are a valuable tool for representing dynamic system behavior. Message arrows in sequence diagrams indicate communications between objects, illustrating synchronous and asynchronous mess

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