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Top 10 Best Memory Training Software of 2026

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Top 10 Best Memory Training Software of 2026

Compare memory training software options like RemNote, BrainHQ, and Anki for learning methods, features, and fit across personal and study needs.

20 min readUpdated Editorially scoped research
How we ranked these tools
01Editorial Scope

Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.

02Source Research

Search agents gather the source set and the review record, including transcriptions of video reviews and podcasts.

Read our full methodology →

Framework: Features 40% · Ease 30% · Value 30%

Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy

Memory training software matters for analysts and operators because it turns recall practice into repeatable workflows, whether through spaced repetition scheduling or timed cognitive exercises. This comparison helps buyers weigh how platforms handle review loops, tracking signals, and configuration depth so the chosen system fits training goals and operational constraints.

RemNote is the best pick for people who want long-form studying to seamlessly turn into recall practice because its inline cloze generation from selected text feeds your review queue without switching tools, while BrainHQ is the better alternative for anyone who prefers structured daily memory drills that adapt difficulty during the same session.

Editor’s top 3 picks

Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.

Editor pick
1

RemNote

Inline cloze generation from selected text during normal note editing, with instant placement into the review queue.

Best for: Fits when long-form notes must convert into cloze reviews inside one editing workflow.

2

BrainHQ

Editor pick

BrainHQ’s built-in adaptive progression adjusts task difficulty during the same training session.

Best for: Fits when individuals want structured daily memory drills with adaptive difficulty and measured in-session performance.

3

Anki

Editor pick

Cloze deletion with template-driven cards supports strong recall cueing while still fitting custom deck workflows.

Best for: Fits when structured recall practice and custom card generation matter more than guided training flows.

Comparison Table

1
RemNoteBest overall
consumer learning
9.1/10
Overall
2
consumer and research-backed training
8.7/10
Overall
3
consumer learning
8.6/10
Overall
4
consumer learning
8.4/10
Overall
5
consumer learning
8.3/10
Overall
6
mobile consumer training
7.7/10
Overall
7
consumer brain training
7.5/10
Overall
8
consumer and clinical cognitive training
7.1/10
Overall
9
consumer brain training
6.9/10
Overall
10
mobile consumer training
6.6/10
Overall
#1

RemNote

consumer learning

Note-taking and flashcard software that turns study material into spaced repetition memory prompts.

9.1/10
Overall
Features9.1/10
Ease of Use9.2/10
Value9.0/10
Standout feature

Inline cloze generation from selected text during normal note editing, with instant placement into the review queue.

RemNote mixes an annotation-first workflow with an internal note database that turns highlights into editable recall prompts. It supports cloze deletion and active recall testing using an Anki-style card model, while also letting notes become structured documents inside one workspace.

A spaced repetition scheduler drives the review queue, and inline linking ties facts across documents. RemNote is distinct for treating knowledge writing and test generation as the same editing surface rather than separate tools.

Pros
  • +Cloze creation from writing keeps recall prompts tied to context
  • +Inline linking connects cards to the documents where they were learned
  • +Flexible note hierarchy supports both reading and structured knowledge bases
  • +Review scheduling integrates into the same workspace as writing
Cons
  • –Complex card behaviors can require careful authoring discipline
  • –Advanced spaced repetition tuning is less granular than purpose-built systems
  • –Large note graphs can slow navigation when linking is heavily used
  • –Card export and interoperability with external decks is limited
Use scenarios
  • Knowledge workers and analysts

    Schedule linked decision summaries for recall

    Faster retrieval of decisions

  • Researchers and serious readers

    Turn annotated passages into practice cards

    Searchable knowledge for later recall

Show 2 more scenarios
  • Language learners

    Practice vocabulary gathered from reading

    Context-based vocabulary practice

    Collect words from texts with examples and build cloze cards from highlighted phrases.

  • Students and independent learners

    Convert lecture notes into scheduled prompts

    Better recall of course concepts

    Transform definitions and highlighted explanations into review items tied to the original material.

Best for: Fits when long-form notes must convert into cloze reviews inside one editing workflow.

#2

BrainHQ

consumer and research-backed training

Cognitive training software with exercises that target memory, attention, brain speed, and navigation.

8.7/10
Overall
Features8.7/10
Ease of Use8.7/10
Value8.7/10
Standout feature

BrainHQ’s built-in adaptive progression adjusts task difficulty during the same training session.

BrainHQ runs timed cognitive training exercises focused on attention, memory recall, and speed under controlled difficulty. Core sessions include short practice modules with immediate scoring, adaptive progression, and repeatable drills designed to build retention across practice days.

The software emphasizes daily training queues and memory-specific games that test recognition and recall style performance rather than only passive review. BrainHQ also supports account-level management for course access across users.

Pros
  • +Memory-focused game modes with session scoring and accuracy tracking
  • +Adaptive difficulty that changes task timing and challenge during practice
  • +Daily practice queue structure that keeps training consistent
  • +Account-based administration for managing user access
Cons
  • –Limited customization for scheduling logic beyond the built-in training plan
  • –Progress insights prioritize in-game metrics over detailed transfer analysis
  • –No authoring tools for creating custom training tasks
  • –Automation and API surface for integrations are not emphasized
Use scenarios
  • Cognitive training participants

    Train working memory with performance-adjusting tasks

    Improved task performance over time

  • Older adults practicing daily

    Maintain short routines for attention and memory

    Consistent practice and progress tracking

Show 2 more scenarios
  • Cognitive researchers

    Run repeatable protocols with session histories

    Consistent measurements across sessions

    Researchers use standardized adaptive tasks and recorded session performance data for study comparisons.

  • Audiology and speech programs

    Assign home auditory practice between visits

    More practice with tracked results

    Learners complete adaptive listening and speech-in-noise drills with monitored performance after appointments.

Best for: Fits when individuals want structured daily memory drills with adaptive difficulty and measured in-session performance.

#3

Anki

consumer learning

Flashcard software built around spaced repetition for long-term memorization and recall training.

8.6/10
Overall
Features8.6/10
Ease of Use8.6/10
Value8.6/10
Standout feature

Cloze deletion with template-driven cards supports strong recall cueing while still fitting custom deck workflows.

Anki is distinct in how it combines an offline-friendly spaced repetition review engine with a large ecosystem of community card content. Core capabilities include anki-style card decks, cloze deletion for active recall testing, and scheduling logic that adjusts intervals using card ease and lapse behavior.

Review sessions run from a queue that supports recognition or recall-style prompts via card types and templates. Extensibility is driven by add-ons and Anki’s import and export formats for moving decks across devices.

Pros
  • +Spaced repetition interval logic uses card ease and lapse behavior
  • +Cloze deletion card types support high-signal active recall drills
  • +Add-on ecosystem enables automation and workflow extensions
  • +Deck templates and media handling support reusable prompt design
Cons
  • –Card setup and template editing require careful upfront configuration
  • –Interleaving and schedule experiments depend on manual deck and card design
  • –Large import work can create inconsistent formatting across fields
  • –Synchronization can add friction when multiple devices and add-ons diverge
Use scenarios
  • Individual learners

    Maintain daily spaced recall for personal facts

    Consistent long-term retention

  • Medical and technical learners

    Practice anatomy and specifications with cloze cards

    More reliable factual recall

Show 2 more scenarios
  • Language vocabulary learners

    Review new words and grammar patterns daily

    Improved word retention

    Language learners build vocabulary cards to test recall and reinforce word and grammar usage over time.

  • Language and visual learners

    Use multimedia prompts with images and audio

    Better context-based recall

    Users attach audio and images to cards for recognition and recall in context during review sessions.

Best for: Fits when structured recall practice and custom card generation matter more than guided training flows.

#4

Memrise

consumer learning

Language learning software that uses spaced repetition and recall drills to train memory through repeated review.

8.4/10
Overall
Features8.4/10
Ease of Use8.4/10
Value8.4/10
Standout feature

Community video-driven language courses feed the review queue with prompts tied to real usage snippets.

Memrise pairs an Anki-style review queue with community-built language courses and video prompts, which keeps content supply coming from other learners. The workflow emphasizes spaced repetition scheduling for item recall plus recognition-style practice via short, repeatable media.

Pros
  • +Video and audio prompts make each review item context-rich
  • +Community language courses provide a large set of ready-made decks
  • +Review queue ties sessions to lesson progress and completion goals
  • +Practice modes support both recognition and recall-style responses
Cons
  • –Memory training focus is strongest for language skills, not general cognition
  • –Advanced deck control is limited compared with full Anki workflows
  • –Offline and device sync behavior can interrupt long review streaks
  • –Custom scheduling logic is constrained to Memrise course structures
Use scenarios
  • Independent language learners

    Build daily vocabulary with scheduled reviews

    More consistent vocabulary recall

  • Spoken accuracy learners

    Repeat prompts to improve pronunciation

    Better pronunciation practice

Show 2 more scenarios
  • Returning vocabulary learners

    Maintain habits with shaped review queues

    Repeatable long-term routine

    Learners revisit items marked for review and follow queues based on earlier performance.

  • Language-specific course learners

    Study vocabulary and listening in one language

    Structured practice by language

    Learners complete structured courses for Spanish, English, French, or Korean with lesson-based reviews.

Best for: Fits when language learners want media-rich spaced repetition without building decks from scratch.

#5

SuperMemo

consumer learning

Memory and learning software centered on spaced repetition algorithms for durable recall.

8.3/10
Overall
Features8.3/10
Ease of Use8.3/10
Value8.3/10
Standout feature

SuperMemo’s interval expansion and lapse handling is built into the study loop, not layered as a simple addon.

SuperMemo runs spaced repetition and active recall drills using its own interval expansion logic rather than a generic checklist. It supports card-like study items with cloze-style testing, while scheduling adapts from per-item ratings and review history.

Pros
  • +Interval expansion logic that recalculates future reviews from item ratings
  • +Cloze-style testing to support recall with partial prompts
  • +Forgetting-curve based scheduling behavior tied to lapses and relearning
  • +Deep study-item configuration for large review queue management
Cons
  • –Workflow configuration complexity increases setup effort for new decks
  • –Automation and API surface are not as prominent as dedicated integrators
  • –Advanced scheduling tuning can slow down day-to-day iteration
  • –Migration from Anki-style decks requires more manual restructuring
Use scenarios
  • Experienced learners with large decks

    Manage ongoing reviews across many cards

    More structured recurring study

  • Students studying mixed media

    Practice recall with images and audio

    Media-supported memory training

Show 2 more scenarios
  • Exam prep students

    Revisit facts using review queues

    Repeatable recall practice

    Organize course content into cards and schedule repeat exposures before exams.

  • Self-directed knowledge builders

    Continue learning with incremental additions

    Sustained study cycle

    Add new material over time and rely on adaptive scheduling to sustain practice.

Best for: Fits when learners need algorithm-driven scheduling with heavy configuration and long-running review queues.

#6

Mensa Brain Training

mobile consumer training

Mobile brain training app branded around daily mental exercises including memory tasks.

7.7/10
Overall
Features7.7/10
Ease of Use7.7/10
Value7.7/10
Standout feature

Mensa-branded exercise progression with in-session performance tracking and review of results by task.

Mensa Brain Training targets memory practice through short, test-led exercises under a Mensa-branded framework. It emphasizes repeatable training flows with session tracking and a structured progression across tasks that assess and train recall accuracy.

Pros
  • +Guided training sessions reduce decisions during practice blocks
  • +Clear progression keeps users moving through predefined exercise sets
  • +Performance summaries support quick recall of improvement over runs
  • +Exercise formats stay consistent across repeated sessions
Cons
  • –Limited customization for card-style decks and custom prompts
  • –Automation and API integration options are not exposed for external workflows
  • –Spaced scheduling controls for fine-grained review tuning are constrained
  • –Single-track practice design can feel narrow for advanced training plans
Use scenarios
  • Busy professionals improving recall

    Daily sessions to strengthen name memory

    More reliable quick recall

  • Students preparing for exams

    Practice memory tasks for rote content

    Higher quiz recall accuracy

Show 2 more scenarios
  • Lifelong learners seeking structure

    Standardized memory training progression

    Consistent memory practice cadence

    A guided loop and structured tasks provide consistent practice without custom deck setup.

  • Older adults maintaining cognition

    Repetition-based drills with session history

    Improved recall accuracy over time

    Recorded session performance supports steady practice focused on recall accuracy over time.

Best for: Fits when standardized memory drills and session guidance matter more than custom content or integrations.

#7

Memorado

consumer brain training

Brain training software focused on memory, concentration, reaction, and logic practice.

7.5/10
Overall
Features7.5/10
Ease of Use7.4/10
Value7.6/10
Standout feature

Guided daily sessions that convert incorrect answers into targeted re-tests within the same learning flow.

Memorado centers on active recall testing by prompting answers, then routing cards into an interval-based review queue. The exercises include varied input types, such as text prompts and matching-style interactions, which supports training across recognition and cued recall modes. The workflow is designed to keep sessions short and repeatable through day-by-day learning session streaks.

Pros
  • +Spaced repetition review queue that reshapes practice based on misses
  • +Interactive practice formats covering both recall and recognition modes
  • +Short session flow that supports learning session streak consistency
  • +Guided progression reduces card authoring overhead
Cons
  • –Limited control over interval logic and card ease factor parameters
  • –Deck customization is not as flexible as full Anki-style workflows
  • –Content coverage depends on the exercises included in the guided sets
  • –Less suitable for users who want complete cue prompt scripting
Use scenarios
  • Busy learners

    Daily practice for retention goals

    Higher review queue completion

  • Students

    Memorize definitions with recall drills

    More stable test performance

Show 2 more scenarios
  • Professionals

    Remember meeting terminology and lists

    Faster access to details

    Cued prompt interactions support episodic memory encoding for named concepts.

  • Self-trainers

    Consistent spaced review without building decks

    Lower setup friction

    Minimal setup keeps interleaved practice scheduling consistent across sessions.

Best for: Fits when daily guided spaced repetition matters more than full custom deck engineering.

#8

CogniFit

consumer and clinical cognitive training

Brain training platform with memory games, cognitive assessment, and structured training plans.

7.1/10
Overall
Features7.1/10
Ease of Use7.1/10
Value7.1/10
Standout feature

Integrated cognitive assessment that drives which training modules and difficulty levels users see next.

CogniFit is a memory training software solution that pairs cognitive assessment with structured practice modules, then tracks performance over repeated sessions. Core capabilities include browser-based memory drills, adaptive task difficulty based on results, and guided training routines aimed at targeted cognitive functions.

Pros
  • +Assessment-to-training flow connects baseline testing to subsequent practice
  • +Adaptive task difficulty reacts to user performance within sessions
  • +Task-level progress metrics support session-to-session improvement review
  • +Browser delivery reduces setup friction for day-to-day practice
Cons
  • –Memory drill variety is narrower than tools built around deep card systems
  • –Progress interpretation requires consistency because tasks are function-oriented
  • –Advanced automation and API access are not central to the workflow
  • –Customization of practice schedules is less granular than interval expansion systems
Use scenarios
  • Older adults seeking cognitive support

    Practice drills after baseline cognitive testing

    Improved memory task performance

  • Rehabilitation and therapy providers

    Structured memory training between therapy sessions

    More focused cognitive homework

Show 2 more scenarios
  • Corporate wellness program coordinators

    Offer browser-based memory drills to employees

    Quantified cognitive improvement metrics

    Participants practice adaptive tasks and track performance changes across multiple training cycles.

  • Students preparing for exams

    Memory practice tied to assessment feedback

    Better recall during study periods

    Learners use adaptive memory drills and task-level summaries to refine practice across sessions.

Best for: Fits when a structured assessment-to-training routine matters more than building custom review schedules.

#9

Lumosity

consumer brain training

Consumer brain training software with dedicated memory exercises and progress tracking.

6.9/10
Overall
Features6.9/10
Ease of Use6.9/10
Value6.9/10
Standout feature

Dynamic sequencing selects which games appear in the training plan based on recent task performance.

Lumosity assigns users to a sequence of games and uses session results to influence future practice selections. The training experience is built around app-based sessions with built-in reminders, rather than user-controlled deck design. Performance history emphasizes streak-like completion behavior and trend views across activities.

Pros
  • +Guided daily game sequences reduce planning effort for practice sessions
  • +Performance history shows trends across multiple task types and response patterns
  • +Timed, cue-based formats support consistent retrieval practice
  • +Streak and completion mechanics encourage regular session adherence
Cons
  • –No native support for user-created Anki-style card decks
  • –Limited training configuration for difficulty, scheduling, and prompt structure
  • –No documented public API for integrating results into external systems
Use scenarios
  • Individuals practicing recall

    Daily timed memory cue drills

    More consistent practice frequency

  • Remote wellness coaches

    Client habit building via reminders

    Higher adherence to practice routines

Show 1 more scenario
  • HR learning and development

    Low-friction cognitive self-training

    Standardized practice experience

    Employees use a guided routine that requires minimal setup and no custom content creation.

Best for: Fits when guided daily memory drills and progress trends matter more than custom scheduling control.

#10

Peak

mobile consumer training

Brain training app with games targeting memory, focus, problem solving, and mental agility.

6.6/10
Overall
Features6.6/10
Ease of Use6.6/10
Value6.6/10
Standout feature

In-app training modules run a continuous session loop that alternates recall prompts with immediate scored feedback.

Peak delivers memory practice through timed exercises that alternate between recall prompts and scoring feedback in the same practice flow. The app organizes training modules for working memory, attention, and other cognitive targets instead of requiring users to assemble their own review queue. Progress tracking surfaces session history and long-running streak behavior, which helps learners maintain review cadence without managing intervals manually. This design fits users who want practice throughput with less configuration overhead.

Pros
  • +Adaptive session pacing reduces manual scheduling work
  • +Cross-domain practice keeps focus on timed recall behaviors
  • +Progress dashboards track streaks and recent performance trends
  • +Audio and visual prompts support mixed recognition and recall
Cons
  • –Limited exposure of interval and difficulty tuning controls
  • –No documented card-deck import or export path
  • –No visible automation or API surface for assignments
  • –Governance controls for multi-user administration are not evident
Use scenarios
  • Individual learners

    Daily working memory practice

    Higher review consistency

  • Remote students

    Quick timed warm-ups

    Faster readiness routines

Show 1 more scenario
  • L&D teams

    Self-directed cognitive coaching

    Lower admin overhead

    Progress streaks and performance history support lightweight coaching without integration work.

Best for: Fits when individual learners want daily memory practice with minimal setup and consistent session feedback.

Conclusion

After evaluating 10 memory training software, RemNote stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.

Our Top Pick
RemNote

Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.

Frequently Asked Questions About Memory Training Software

How do Lumosity and Peak decide what practice appears next in a daily plan?
Lumosity uses dynamic sequencing that chooses which games appear based on recent task performance. Peak runs an in-app training module loop that alternates recall prompts with immediate scored feedback, then continues within the same workflow.
Which tools are best when memory work needs spaced repetition, and what differs from Anki-style decks?
Memorado and Peak apply spaced repetition style review management inside their app workflows. Anki, RemNote, and SuperMemo focus on anki-style or card-like item models where intervals expand per card or per study item rating, which supports deck engineering and add-on extensibility.
What breaks if users want to import their own cloze card decks into Peak instead of using Anki?
Peak emphasizes adaptive in-app session modules rather than a card-deck import and template workflow. Anki supports cloze deletion with template-driven cards and an ecosystem of add-ons, so skipping deck import removes the core path for customizing cueing, prompts, and scheduling behavior.
How does CogniFit’s assessment-to-training workflow differ from BrainHQ’s daily queue approach?
CogniFit ties an integrated cognitive assessment to which training modules and difficulty levels appear next. BrainHQ focuses on timed practice modules with immediate scoring and adaptive progression inside a daily training queue.
When should learners choose Memorado over a standardized drill platform like Mensa Brain Training?
Memorado fits when incorrect answers need to turn into targeted re-tests inside the same learning flow using guided daily sessions. Mensa Brain Training fits when standardized exercises and a consistent guided progression matter more than converting mistakes into rapid re-testing within an individualized routine.
What data migration path exists for moving from handwritten notes into cloze reviews using RemNote?
RemNote converts selected text into editable recall prompts during note editing and places those prompts into its internal review queue. RemNote’s workflow centers on transforming content inside one workspace, while Anki and SuperMemo rely more on exporting and importing card data structures.
How do Anki and RemNote handle recall cueing for active recall tests like cloze deletion?
Anki uses cloze deletion with template-driven cards that control how prompts appear and how intervals update per card. RemNote performs inline cloze generation from highlighted text and immediately inserts the resulting review item into its queue.
When do security and account controls matter more, and which tools support account-level management?
Account-level management matters for course access across users and shared learning environments. BrainHQ supports account-level management for course access across users, while the other tools in this list focus more on single-learner workflows without an explicit enterprise access model.
What tradeoff appears when choosing SuperMemo for interval expansion logic versus using guided session apps like Lumosity?
SuperMemo supports algorithm-driven interval expansion and lapse handling with heavy configuration, which benefits large, long-running review queues. Lumosity prioritizes guided brain games and progress trend tracking, so the workflow trades granular study-queue control for a fixed daily structure.
Which platforms offer the strongest extensibility, and what is the common mechanism?
Anki offers extensibility through add-ons plus import and export formats for moving decks across devices. SuperMemo offers extensive configuration inside its study loop logic, while RemNote extends via an annotation-first workspace that generates review items from edits rather than through external add-on ecosystems.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

How to Choose the Right Memory Training Software

Different options mainly diverge in how well they drive practice over time via scheduling and feedback. We focus on Spaced review scheduling, Progress tracking depth, and Session customization so you can match what the app trains to your goals.

Spaced review scheduling

Why it matters

Spaced review scheduling determines when you see items again, which strongly affects retention for memory training practice. If it’s poorly tuned, you can end up reviewing too often or not often enough.

How to check

On the demo, create a small set (10–20 items) and watch how the next review times are computed across a couple of days. Ask what signals change the spacing when your performance improves or drops.

Answer feedback and difficulty adjustment

Why it matters

Answer feedback and difficulty adjustment keep training aligned to your actual recall. Without it, the app may keep assigning reviews that don’t match your accuracy.

How to check

Try both correct and incorrect responses on the same item type and observe what the app changes afterward. Look for clear explanations of what counted as a miss versus a partial success.

Progress tracking depth

Why it matters

Progress tracking depth helps you confirm whether the program is working for your memory outcomes. It also shows what to fix when you stall.

How to check

Check for trend views over time: streaks or counts are fine, but you should also see retention-related indicators or outcomes per skill area. Export a sample report (or screenshots) and confirm it updates after practice.

Session customization controls

Why it matters

Session customization controls let you target what you want to improve without rewriting everything. The right controls reduce the chance you’ll train the wrong material format.

How to check

During the demo, change a setting such as session length, item types, or recall style and verify the workflow changes accordingly. Ask whether you can set different plans for different goals within the same account.

Import and item creation workflow

Why it matters

Import and item creation workflow affects how quickly you can build high-quality practice items. Poor tooling leads to messy data, which makes training results harder to interpret.

How to check

Import a simple CSV or paste text, then confirm how it becomes practice prompts. Create one item manually and verify you can edit prompt/answer fields after seeing scheduling impact.

Data export and portability

Why it matters

Data export and portability matter because you may stop using a tool or need to compare progress across time. Losing your item history makes it hard to validate your outcomes.

How to check

Find the export path in settings and export items, responses, and scheduling-related fields if available. Then confirm an export can be re-imported (or at least clearly interpreted) via documented mappings.

Red flags

  • Next review dates never change after you miss an item
  • Reports show activity counts but not recall outcomes
  • Items are hard to import or edit without breaking schedules

Fit by situation

  • If you want predictable daily practice, prioritize Spaced review scheduling.
  • If you’re testing multiple study methods, prioritize Answer feedback and difficulty adjustment.
  • If you plan to switch tools later, prioritize Data export and portability.
Commissioned Research

Funding and competing interests

This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.

They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.

Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →

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