R08.09.01.04 · 任务小类

脑电与电生理分析

EEG/MEG & electrophysiology analysis

Clean, epoch and analyze recordings to reported effects.

20 条本项目编写的提案 · 分类 v1.1 · 新增基准运行 0 次。下方验证方式与部分得分规则是设计，不是执行结果。

典型应用: EEGLAB · MNE · Brainstorm
小类 GUI 需求标签: HY · 混合

任务提案 · 20

展开查看完整原文与建议检查方式；两种界面均保留提案英文原文。

R08.09.01.04-T01 Reject eye-blink ICA components in EEGLAB by topography and time course

原始指令

In EEGLAB load input/subj01_ica.set. Inspect the first 20 independent components' topographies, time courses and spectra, select the blink and lateral-eye-movement components, remove them, and save output/subj01_clean.set plus the rejected indices in output/rejected.json.

平台: mac · macOS win · Windows lin · Linux
应用: EEGLAB · MATLAB
交互表面: desk · 桌面 GUI
GUI 需求 · 任务设定: G2 · GUI 必要
GUI 需求 · 普通权限: G2 · GUI 必要
交互原语: click · 指向与点击 vis · 视觉判断 nav · 平移 / 缩放 / 滚动
工作产物: WP10 · 标注
条件: licensed · 授权专业软件
提案难度: 3 / 5

建议验证方式

Rejected set must match the expert list exactly (2 components); the cleaned data must have the frontal blink-band (1–3 Hz at Fp1/Fp2) power reduced by ≥70% while occipital alpha power changes <10%. ICLabel is removed from the installation. The MATLAB command window and -batch/-r script execution are disabled, so EEGLAB must be driven from its menus.

建议部分得分

50% correct components; 30% frontal artifact reduction; 20% alpha preserved.

R08.09.01.04-T02 Preprocess, epoch and average an auditory oddball ERP in EEGLAB

原始指令

In EEGLAB load input/oddball.set: high-pass 0.1 Hz, low-pass 30 Hz, re-reference to average mastoids, epoch −200 to 800 ms around the standard and deviant markers, baseline-correct, reject epochs exceeding ±100 µV, and save output/erp.set plus output/mmn.csv with the mean deviant-minus-standard amplitude at Fz in 150–250 ms.

平台: mac · macOS win · Windows lin · Linux
应用: EEGLAB · MATLAB
交互表面: desk · 桌面 GUI
GUI 需求 · 任务设定: HY · 混合
GUI 需求 · 普通权限: CL · CLI 足够
交互原语: click · 指向与点击 type · 文字与表单 vis · 视觉判断
工作产物: WP07 · 仿真结果
条件: licensed · 授权专业软件
提案难度: 3 / 5

建议验证方式

Processing history in the .set must show the filters, reference and epoching as specified; rejected-epoch count within 10% of reference; MMN amplitude within 0.3 µV of the reference pipeline value.

建议部分得分

30% filtering and reference; 25% epoching and baseline; 20% rejection; 25% MMN amplitude.

R08.09.01.04-T03 Mark bad channels and interpolate them in EEGLAB

原始指令

In EEGLAB load input/noisy.set and inspect the continuous data and channel spectra. Identify the bad channels (flat, drifting or high-frequency noisy), mark them, interpolate spherically, and save output/interp.set with the list in output/badchans.json.

平台: mac · macOS win · Windows lin · Linux
应用: EEGLAB · MATLAB
交互表面: desk · 桌面 GUI
GUI 需求 · 任务设定: G2 · GUI 必要
GUI 需求 · 普通权限: G2 · GUI 必要
交互原语: click · 指向与点击 vis · 视觉判断 nav · 平移 / 缩放 / 滚动
工作产物: WP10 · 标注
条件: licensed · 授权专业软件
提案难度: 2 / 5

建议验证方式

Bad-channel set F1 ≥0.9 against the expert list (5 bad of 64); interpolated channels' correlation with neighbours >0.7; non-bad channels unchanged (identical samples). clean_rawdata is disabled. The MATLAB command window and -batch/-r script execution are disabled, so EEGLAB must be driven from its menus.

建议部分得分

50% bad channels; 30% interpolation quality; 20% other channels untouched.

R08.09.01.04-T04 Compute a time-frequency ERSP for one condition in EEGLAB

原始指令

In EEGLAB open input/epoched.set and compute the ERSP at channel Cz for the 'target' condition with newtimef wavelets, cycles [3 0.5] (3 cycles at 3 Hz, increasing at half the FFT rate), 3–45 Hz, baseline −400 to −100 ms, 200 permutations with FDR correction. Export the ERSP matrix to output/ersp.mat and report the peak alpha-band suppression (time, frequency, dB) in output/answer.json.

平台: mac · macOS win · Windows lin · Linux
应用: EEGLAB · MATLAB
交互表面: desk · 桌面 GUI
GUI 需求 · 任务设定: HY · 混合
GUI 需求 · 普通权限: CL · CLI 足够
交互原语: click · 指向与点击 type · 文字与表单 vis · 视觉判断
工作产物: WP07 · 仿真结果
条件: licensed · 授权专业软件
提案难度: 3 / 5

建议验证方式

ERSP matrix correlates ≥0.98 with the reference newtimef run at those settings; reported peak within 50 ms, 1 Hz and 0.5 dB of reference; significance mask present. The EEGLAB GUI history (EEG.history / STUDY log) must show the time-frequency dialog call.

建议部分得分

30% settings; 35% ERSP matches; 25% peak values; 10% export.

R08.09.01.04-T05 Build a reproducible MNE-Python preprocessing script for one subject

原始指令

Preprocess input/sub-01_raw.fif: in MNE's interactive raw browser mark bad channels and bad segments by eye (annotations 'BAD_muscle'), then write output/preproc.py applying notch 50 Hz, band-pass 1–40 Hz, ICA (20 components, picard) with EOG-correlated components (r>0.8) removed, and epoching −0.2 to 0.5 s on event id 2. Save output/sub-01_epo.fif, output/annotations.csv and output/report.html.

平台: lin · Linux mac · macOS
应用: MNE-Python
交互表面: desk · 桌面 GUI term · 终端
GUI 需求 · 任务设定: HY · 混合
GUI 需求 · 普通权限: HY · 混合
交互原语: vis · 视觉判断 click · 指向与点击 code · 代码与命令
工作产物: WP06 · 代码 / 工程
条件: 未声明
提案难度: 3 / 5

建议验证方式

Annotations must cover ≥80% of the seeded muscle segments with ≤20% false-positive duration; epochs file has the right event selection (count within 2 of reference), filter parameters in info, EOG components removed (frontal artifact power down ≥70%); rerunning preproc.py with the saved annotations reproduces the epochs with a fixed random state.

建议部分得分

25% annotations by eye; 25% filtering; 25% ICA artifact removal; 25% epoching and deterministic rerun.

R08.09.01.04-T06 Reject EEG epochs by visual inspection and report rejection reasons

原始指令

In EEGLAB open input/epochs_60.set and scroll through the 60 epochs. Mark for rejection those with muscle bursts, electrode pops or sweat drift (not blinks, which ICA already removed), and save output/pruned.set plus output/rejections.csv listing epoch index and reason.

平台: mac · macOS win · Windows lin · Linux
应用: EEGLAB · MATLAB
交互表面: desk · 桌面 GUI
GUI 需求 · 任务设定: G2 · GUI 必要
GUI 需求 · 普通权限: G2 · GUI 必要
交互原语: click · 指向与点击 vis · 视觉判断 nav · 平移 / 缩放 / 滚动
工作产物: WP10 · 标注
条件: licensed · 授权专业软件
提案难度: 4 / 5

建议验证方式

Rejected set F1 ≥0.85 against expert marks (11 bad epochs); reasons match the seeded artifact per epoch for ≥80% of hits; kept epochs' data unchanged. The MATLAB command window and -batch/-r script execution are disabled, so EEGLAB must be driven from its menus.

建议部分得分

55% rejected set; 30% reasons; 15% data integrity.

R08.09.01.04-T07 Run a cluster-based permutation test on two conditions in Brainstorm

原始指令

In Brainstorm load the protocol in input/protocol/ with averaged trials for conditions A and B across 18 subjects. Run a two-tailed paired cluster-based permutation test on sensor data, 0–600 ms, 1,000 permutations, cluster alpha 0.05, and export the significant cluster summary (time window, channels, p) to output/clusters.csv.

平台: mac · macOS win · Windows lin · Linux
应用: Brainstorm · MATLAB
交互表面: desk · 桌面 GUI
GUI 需求 · 任务设定: HY · 混合
GUI 需求 · 普通权限: CL · CLI 足够
交互原语: click · 指向与点击 type · 文字与表单 vis · 视觉判断
工作产物: WP07 · 仿真结果
条件: licensed · 授权专业软件 long · 长流程
提案难度: 3 / 5

建议验证方式

Cluster count, cluster p-values within 0.01, time windows within 20 ms and channel sets Jaccard ≥0.9 versus the reference analysis with the same settings and seed.

建议部分得分

25% test configured; 45% clusters match; 20% statistics; 10% export.

R08.09.01.04-T08 Localize an ERP component with dSPM source estimation in MNE

原始指令

Using input/sub-01-ave.fif, input/sub-01-cov.fif and input/sub-01-fwd.fif, write output/source.py computing a dSPM inverse solution (loose 0.2, depth 0.8, SNR 3), then open the result in MNE's 3D time-viewer, confirm the 80–120 ms peak is on the lateral surface (not a depth artifact), and save output/answer.json (peak vertex, latency), output/stc/ and a viewer screenshot output/peak.png.

平台: lin · Linux mac · macOS
应用: MNE-Python
交互表面: term · 终端 desk · 桌面 GUI
GUI 需求 · 任务设定: HY · 混合
GUI 需求 · 普通权限: HY · 混合
交互原语: code · 代码与命令 vis · 视觉判断 nav · 平移 / 缩放 / 滚动
工作产物: WP07 · 仿真结果
条件: 未声明
提案难度: 4 / 5

建议验证方式

Peak vertex within 15 mm of the reference peak and latency within 5 ms; inverse parameters as specified in the STC metadata; peak.png must show the inflated surface with the hotspot within 20 px of the reference projection of that vertex.

建议部分得分

25% inverse parameters; 35% peak location; 20% latency; 20% visual confirmation screenshot.

R08.09.01.04-T09 Measure sleep-spindle density by marking events in EEGLAB

原始指令

In EEGLAB open input/n2_sleep.set (10 min of N2 sleep at C3/C4). Visually mark sleep spindles as events named 'spindle' with onset and duration, then compute density (spindles per minute per channel) and save output/marked.set plus output/density.csv.

平台: mac · macOS win · Windows lin · Linux
应用: EEGLAB · MATLAB
交互表面: desk · 桌面 GUI
GUI 需求 · 任务设定: G2 · GUI 必要
GUI 需求 · 普通权限: G2 · GUI 必要
交互原语: click · 指向与点击 vis · 视觉判断 nav · 平移 / 缩放 / 滚动
工作产物: WP10 · 标注
条件: licensed · 授权专业软件 long · 长流程
提案难度: 5 / 5

建议验证方式

Event onsets F1 ≥0.75 against expert scoring with a 0.5 s tolerance; durations within 0.3 s for matched events; density within 15% per channel. Automatic spindle detectors are not installed. The MATLAB command window and -batch/-r script execution are disabled, so EEGLAB must be driven from its menus.

建议部分得分

55% spindle detection F1; 25% durations; 20% density values.

R08.09.01.04-T10 Spot and fix an event-code misalignment in an EEG recording

原始指令

In EEGLAB load input/shifted.set: stimulus markers are delayed relative to the photodiode channel. Measure the offset from the photodiode, correct every event latency accordingly, re-epoch, and save output/aligned.set plus the offset in milliseconds in output/answer.json.

平台: mac · macOS win · Windows lin · Linux
应用: EEGLAB · MATLAB
交互表面: desk · 桌面 GUI
GUI 需求 · 任务设定: HY · 混合
GUI 需求 · 普通权限: CL · CLI 足够
交互原语: vis · 视觉判断 nav · 平移 / 缩放 / 滚动 click · 指向与点击 type · 文字与表单
工作产物: WP10 · 标注
条件: licensed · 授权专业软件 hidden · 隐藏 / 过期状态
提案难度: 3 / 5

建议验证方式

Offset within 3 ms of the seeded value; after correction, the mean photodiode onset relative to events is within 3 ms of zero and the ERP P1 latency falls within the expected 90–120 ms window.

建议部分得分

40% offset measured; 35% events corrected; 25% ERP latency plausible.

R08.09.01.04-T11 Run and QC an ICA decomposition in Brainstorm and remove cardiac components

原始指令

In the Brainstorm protocol input/protocol/ run ICA (infomax, 40 components) on subject 02's continuous MEG data, review the topographies and time series to find the two cardiac components, remove them, and save the cleaned link plus output/components.json (removed indices and justification).

平台: mac · macOS win · Windows lin · Linux
应用: Brainstorm · MATLAB
交互表面: desk · 桌面 GUI
GUI 需求 · 任务设定: G2 · GUI 必要
GUI 需求 · 普通权限: G2 · GUI 必要
交互原语: click · 指向与点击 vis · 视觉判断 nav · 平移 / 缩放 / 滚动
工作产物: WP10 · 标注
条件: licensed · 授权专业软件
提案难度: 3 / 5

建议验证方式

Removed components must match the expert pair (allowing one substitution if its ECG correlation exceeds 0.7); after cleaning, correlation of sensor data with the ECG channel drops below 0.2 (from >0.6); brain-band power 8–12 Hz changes <10%. The MATLAB command window and -batch execution are disabled, so Brainstorm must be driven from its GUI rather than bst_process scripts.

建议部分得分

45% correct components; 35% cardiac contamination reduced; 20% brain signal preserved.

R08.09.01.04-T12 Control: compute the Cz target-condition ERSP with headless EEGLAB newtimef

原始指令

Control pair of T04. Without the EEGLAB GUI, run newtimef headless (matlab -batch) on input/epoched.set at Cz for 'target' with cycles [3 0.5], 3–45 Hz, baseline [−400 −100] ms, 200 permutations with FDR. Save output/ersp.mat and the peak alpha-band suppression (time, frequency, dB) in output/answer.json.

平台: lin · Linux mac · macOS
应用: EEGLAB · MATLAB
交互表面: term · 终端
GUI 需求 · 任务设定: CL · CLI 足够
GUI 需求 · 普通权限: CL · CLI 足够
交互原语: code · 代码与命令
工作产物: WP07 · 仿真结果
条件: licensed · 授权专业软件
提案难度: 2 / 5

建议验证方式

Same checker and reference as T04: ERSP correlation ≥0.98 with the reference newtimef run, peak within 50 ms, 1 Hz and 0.5 dB, significance mask present. Scored as the CLI control of T04.

建议部分得分

30% newtimef settings; 40% ERSP matches; 20% peak values; 10% significance mask.

R08.09.01.04-T13 Spike-sort an extracellular recording in Phy and curate clusters

原始指令

Open input/ks_output/ in Phy (Kilosort results, 12 clusters). Using waveform shape, autocorrelograms, amplitude drift and cross-correlograms, label clusters as good, MUA or noise, merge the two clusters that are the same unit, split the one with a bimodal amplitude distribution, and save the curation to output/cluster_group.tsv plus notes in output/curation.md.

平台: lin · Linux mac · macOS
应用: Phy
交互表面: desk · 桌面 GUI
GUI 需求 · 任务设定: G2 · GUI 必要
GUI 需求 · 普通权限: G2 · GUI 必要
交互原语: click · 指向与点击 drag · 拖放 vis · 视觉判断 nav · 平移 / 缩放 / 滚动
工作产物: WP10 · 标注
条件: long · 长流程
提案难度: 5 / 5

建议验证方式

Labels match the expert curation for ≥10 of 12 clusters; the correct pair merged and the correct cluster split (checked against gold spike-train assignment, ≥90% spike agreement); refractory-period violations of 'good' units <1%. Phy's IPython view is disabled, the agent has no Python shell, and a file-system audit flags a cluster_group.tsv not written by Phy.

建议部分得分

40% labels; 25% merge; 25% split; 10% notes.

R08.09.01.04-T14 Measure action-potential properties from current-clamp traces in Clampfit

原始指令

Open input/current_clamp.abf in Clampfit. For the first action potential at each of the 10 current steps, measure threshold, peak amplitude, half-width and after-hyperpolarization, then export output/ap_props.csv and report rheobase and input resistance in output/answer.json.

平台: win · Windows
应用: Clampfit
交互表面: desk · 桌面 GUI
GUI 需求 · 任务设定: G3 · 仅 GUI
GUI 需求 · 普通权限: CL · CLI 足够
交互原语: click · 指向与点击 vis · 视觉判断 nav · 平移 / 缩放 / 滚动
工作产物: WP02 · 记录 / 表格
条件: licensed · 授权专业软件
提案难度: 3 / 5

建议验证方式

Per-step measurements within 5% (amplitude, half-width) and 2 mV (threshold, AHP) of the expert analysis; rheobase exact to the step and input resistance within 10%. pyABF, Python and other ABF readers are not installed on the VM, and a file-system audit log flags exports not written by Clampfit.

建议部分得分

50% AP properties; 25% rheobase; 25% input resistance.

R08.09.01.04-T15 Build a group ERP analysis in EEGLAB STUDY and report a condition effect

原始指令

In EEGLAB create a STUDY from the 16 datasets in input/study/ with condition and group variables, precompute ERP measures, plot the condition comparison at Pz, run the built-in statistics (permutation, FDR), and export output/study_stats.csv with the significant time windows plus save output/study.study.

平台: mac · macOS win · Windows lin · Linux
应用: EEGLAB · MATLAB
交互表面: desk · 桌面 GUI
GUI 需求 · 任务设定: HY · 混合
GUI 需求 · 普通权限: CL · CLI 足够
交互原语: click · 指向与点击 type · 文字与表单 vis · 视觉判断
工作产物: WP07 · 仿真结果
条件: licensed · 授权专业软件 long · 长流程
提案难度: 4 / 5

建议验证方式

STUDY design variables match the specification; significant windows within 20 ms of reference boundaries and p-values within 0.01; precomputed measures present for all 16 datasets.

建议部分得分

25% STUDY design; 25% measures precomputed; 35% statistics match; 15% exports.

R08.09.01.04-T16 Control: reject blink components by ICLabel on the command line

原始指令

Control pair of T01. From the terminal with MNE-Python (ICLabel available here), load input/subj01_raw.fif and input/subj01-ica.fif (the T01 recording and decomposition exported to FIF), classify components automatically, remove eye components above 0.8 probability, and save output/subj01_clean.fif plus output/rejected.json.

平台: lin · Linux mac · macOS
应用: MNE-Python · ICLabel
交互表面: term · 终端
GUI 需求 · 任务设定: CL · CLI 足够
GUI 需求 · 普通权限: CL · CLI 足够
交互原语: code · 代码与命令
工作产物: WP10 · 标注
条件: 未声明
提案难度: 2 / 5

建议验证方式

Same checks as T01 (rejected set equals expert list, frontal artifact power down ≥70%, occipital alpha preserved). Scored as the CLI control of T01; the classifier is provided here because the GUI task must judge by eye.

建议部分得分

50% components; 30% artifact reduction; 20% alpha preserved.

R08.09.01.04-T17 Analyse miniature synaptic currents in Clampfit with template detection

原始指令

Open input/minis.abf in Clampfit. Build an event template from five clean mEPSCs, run template-based event detection over the 120 s recording, reject false positives by inspection, and export output/events.csv (time, amplitude, rise time, decay tau) plus frequency and mean amplitude in output/answer.json.

平台: win · Windows
应用: Clampfit
交互表面: desk · 桌面 GUI
GUI 需求 · 任务设定: G3 · 仅 GUI
GUI 需求 · 普通权限: G2 · GUI 必要
交互原语: click · 指向与点击 drag · 拖放 vis · 视觉判断 nav · 平移 / 缩放 / 滚动
工作产物: WP02 · 记录 / 表格
条件: licensed · 授权专业软件 long · 长流程
提案难度: 5 / 5

建议验证方式

Event F1 ≥0.85 against expert detection (10 ms tolerance); mean amplitude within 10% and frequency within 15%; decay tau within 20% for matched events. pyABF, Python and other ABF readers are absent from the VM, and a file-system audit flags exports not written by Clampfit.

建议部分得分

25% template built; 40% event detection F1; 20% amplitude/frequency; 15% kinetics.

R08.09.01.04-T18 Diagnose and remove 50 Hz line noise without distorting the beta band

原始指令

input/linenoise.set has strong 50 Hz contamination with harmonics. In EEGLAB inspect the spectra, apply an appropriate approach (CleanLine or spectrum interpolation; a narrow notch is acceptable only if justified), and save output/clean.set plus output/notes.md explaining the choice and showing before/after spectra as output/spectra.png.

平台: mac · macOS win · Windows lin · Linux
应用: EEGLAB · MATLAB
交互表面: desk · 桌面 GUI
GUI 需求 · 任务设定: HY · 混合
GUI 需求 · 普通权限: CL · CLI 足够
交互原语: click · 指向与点击 vis · 视觉判断 type · 文字与表单
工作产物: WP10 · 标注
条件: licensed · 授权专业软件
提案难度: 3 / 5

建议验证方式

50, 100 and 150 Hz peak power reduced by ≥20 dB; power in 15–25 and 30–45 Hz changed <1 dB; notes.md names the method; spectra.png shows both curves (two traces detected).

建议部分得分

40% line-noise suppression; 35% neighbouring bands preserved; 15% figure; 10% justification.

R08.09.01.04-T19 Score five minutes of sleep EEG into stages in EEGLAB

原始指令

In EEGLAB open input/sleep_10epochs.set (ten 30 s epochs with EEG, EOG and EMG). Score each epoch as W, N1, N2, N3 or REM following AASM criteria using the displayed channels, and write output/hypnogram.csv (epoch, stage) plus the deciding feature per epoch.

平台: mac · macOS win · Windows lin · Linux
应用: EEGLAB · MATLAB
交互表面: desk · 桌面 GUI
GUI 需求 · 任务设定: G2 · GUI 必要
GUI 需求 · 普通权限: G2 · GUI 必要
交互原语: vis · 视觉判断 nav · 平移 / 缩放 / 滚动 click · 指向与点击
工作产物: WP12 · 答案 / 决策
条件: licensed · 授权专业软件
提案难度: 4 / 5

建议验证方式

Stages must match the consensus scoring for ≥8 of 10 epochs, with both REM epochs correct; deciding features must match the expected marker (spindles/K-complexes, slow waves, REMs with atonia) for ≥7 epochs. The MATLAB command window and -batch/-r script execution are disabled, so EEGLAB must be driven from its menus.

建议部分得分

60% stage agreement; 25% REM epochs correct; 15% deciding features.

R08.09.01.04-T20 Build a full MEG analysis from raw to source-level statistics in Brainstorm

原始指令

In the Brainstorm protocol input/protocol_raw/ for 10 subjects: review and mark bad segments, run SSP for cardiac artifacts, epoch and average both conditions, compute head models (overlapping spheres) and minimum-norm sources, project to the default anatomy, and run a source-level paired permutation test 0–400 ms. Export output/source_stats.csv and the protocol to output/protocol.zip.

平台: mac · macOS win · Windows lin · Linux
应用: Brainstorm · MATLAB
交互表面: desk · 桌面 GUI
GUI 需求 · 任务设定: HY · 混合
GUI 需求 · 普通权限: HY · 混合
交互原语: click · 指向与点击 vis · 视觉判断 nav · 平移 / 缩放 / 滚动 type · 文字与表单
工作产物: WP07 · 仿真结果
条件: licensed · 授权专业软件 long · 长流程
提案难度: 5 / 5

建议验证方式

All 10 subjects have head models and source maps on the default anatomy; significant source clusters overlap the reference clusters with Dice ≥0.7 and p within 0.01; bad-segment marking recall ≥0.8 against expert annotation.

建议部分得分

20% artifact handling; 25% averaging and head models; 25% source estimation; 30% statistics match.

已有研究映射

以下沿用研究目录中的基准与小类映射，不是逐题标注、执行记录或产品背书。

脑电与电生理分析

任务提案 · 20

原始指令

建议验证方式

建议部分得分

原始指令

建议验证方式

建议部分得分

原始指令

建议验证方式

建议部分得分

原始指令

建议验证方式

建议部分得分

原始指令

建议验证方式

建议部分得分

原始指令

建议验证方式

建议部分得分

原始指令

建议验证方式

建议部分得分

原始指令

建议验证方式

建议部分得分

原始指令

建议验证方式

建议部分得分

原始指令

建议验证方式

建议部分得分

原始指令

建议验证方式

建议部分得分

原始指令

建议验证方式

建议部分得分

原始指令

建议验证方式

建议部分得分

原始指令

建议验证方式

建议部分得分

原始指令

建议验证方式

建议部分得分

原始指令

建议验证方式

建议部分得分

原始指令

建议验证方式

建议部分得分

原始指令

建议验证方式

建议部分得分

原始指令

建议验证方式

建议部分得分

原始指令

建议验证方式

建议部分得分

已有研究映射

同工作流族的小类