,cycle status barsZto jump to selectionHto jump to baseSpaceto jump to last radar eventQto select all combat units on screen (double click for on map)Clickon unit andWto select all units of same type on screen (double click for on map)Shift+Clickon unit to add it to selection (also possible to drag over multiple units)
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| /** | |
| * Checks if the provided credentials are correct and returns corresponding | |
| * employer entity | |
| * | |
| * @throws 404 NotFound Exception (email not found) | |
| * @throws 401 Unauthorized Exception (email and password combination wrong) | |
| * @param email | |
| * @param password | |
| */ | |
| async validateCredentialsEmployer( |
- The system is inherently distributed (e.g. mobile devices like smartphones)
- Reliability (some nodes can fail and the system keeps functioning; fault tolerance)
- Performance (process data faster by utilizing multiple nodes or achieve better latency by requesting data from a nearby node)
- The capacity of a single machine isn’t enough for the task (e.g. limited memory size, bandwidth, CPU cycles, etc.; scalability)
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| type TableName = string; | |
| type ColumnReference = string; | |
| type SqlConditions = string; | |
| type JsonKeyName = string; | |
| type OrderBy = Record<ColumnReference, "ASC" | "DESC">; | |
| enum QueryNodeType { | |
| Array, | |
| Object, | |
| } |
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| package main | |
| import ( | |
| "bufio" | |
| "flag" | |
| "fmt" | |
| "log" | |
| "net/http" | |
| "os" | |
| "strings" |
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| from lxml import etree | |
| def process_elements(element, keep_tags, depth=0): | |
| result = [] | |
| for child in element: | |
| if child.tag in keep_tags: | |
| result.append((depth, child)) | |
| result.extend(process_elements(child, keep_tags, depth + 1)) | |
| return result |
Here’s a research-based, practical protocol for combined lactate/VO₂max testing for road cyclists, designed for accuracy, athlete safety, and efficiency. It aligns with current sports science consensus (e.g., studies by Faude, Kindermann, Skovereng, & Bourdon).
- Start Low: Avoids premature fatigue and captures LT1 (aerobic threshold).
- Progressive Steps: Enables clear lactate curve profiling.
- Optimal Stage Duration: 4 minutes balances metabolic stabilization (~95% VO₂ steady-state by 3 min) with test duration.
- Targeted Increments: Uses % of predicted FTP (pFTP) for accessibility.
- Termination Criteria: Ensures valid VO₂max and safety.
- Integrated Analysis: Combines lactate, gas exchange, and HR data.