「number」の検索結果

Edit mathematically, empirically, or technically dense papers for readers outside the author’s specialty, including empirical legal scholarship, law-and-economics models, and legal-technology research. Clarifies terminology, antecedents, study design, and claim–statistic relationships while checking equations, numbers, quotations, and citations against the source. Use to clarify exposition or de-jargonize a technical draft; not to rewrite briefs or doctrinal arguments. Produces an edited draft and audit memo. Full integrity checks and original-format rendering require suitable extraction, code execution, and document tools; otherwise provides proposed edits with verification limits disclosed.

日本語の概要は準備中です。原文の説明を表示しています。

Verification-first methodology for the post-WWII tribunals: the IMT at Nuremberg, the twelve Nuremberg Military Tribunals, and the IMTFE at Tokyo. Citations are verified against the official records (Blue/Green Series, Pritchard-Zaide) and the digital archives (Avalon, Harvard NTP, UVA IMTFE). Guards the four classic traps (IMT vs NMT; Nuremberg vs Tokyo; Charter article numbers; majority judgment vs separate opinions, e.g. the Pal dissent). Research aid, not legal advice. Part of the open-source "Skills for International Justice" library — methodology: github.com/jeannesulzer/international-criminal-tribunals-skills

日本語の概要は準備中です。原文の説明を表示しています。

Verification-first methodology for the ICTY, the ICTR and the Residual Mechanism (IRMCT). Citations are verified against irmct.org, the Case Law and Unified Court Records databases, and legal-tools.org. Handles the IT/ICTR to MICT case-number transition (Karadžić, Mladić) and the protective-measures rule. Research aid, not legal advice. Part of the open-source "Skills for International Justice" library - methodology: github.com/jeannesulzer/international-criminal-tribunals-skills

日本語の概要は準備中です。原文の説明を表示しています。

Produces properly-formatted legal documents in Word (.docx). The user provides the substantive content (instructions, attached files, project knowledge); the skill handles document architecture and formatting. * No precedent or template required * Seven document families: agreements, corporate documents, litigation, memos, employment, policies, correspondence * Jurisdiction-agnostic — works across any legal system the user specifies * Multi-Chain numbering, defined-terms convention, structured recitals, atomic signature blocks * Also reformats existing .docx to a consistent house style * Works in Claude.ai, Cowork, and Claude for Word

日本語の概要は準備中です。原文の説明を表示しています。

Verification-first methodology for the Kosovo Specialist Chambers and Specialist Prosecutor's Office (The Hague, applying Kosovo law). Citations are verified against scp-ks.org before use; appeal registry numbers are cited only once confirmed. Covers Thaçi et al., Mustafa, Pjetër Shala and Gucati & Haradinaj. Research aid, not legal advice. Part of the open-source "Skills for International Justice" library — methodology: github.com/jeannesulzer/international-criminal-tribunals-skills

日本語の概要は準備中です。原文の説明を表示しています。

Verification-first methodology for the ECCC (Khmer Rouge Tribunal). Every citation is verified against eccc.gov.kh, the ECCC archive or legal-tools.org. Covers Case File numbering, the 001/002/002-01/002-02 structure, the genocide findings against the Cham and the Vietnamese, and the Internal Rules revision discipline. Research aid, not legal advice. Part of the open-source "Skills for International Justice" library — methodology: github.com/jeannesulzer/international-criminal-tribunals-skills

日本語の概要は準備中です。原文の説明を表示しています。

Animate a number counting up to its target as it scrolls into view, once. Use for stat/metric blocks to draw the eye to an impressive figure. Honors prefers-reduced-motion (final value shown instantly). Avoid for precise values the user must read while animating, or many counters at once.

日本語の概要は準備中です。原文の説明を表示しています。

A number counts up then bursts — for a big stat. A bold, canvas-based effect from Open Design's html-ppt fx pack — for slides and launch videos. Guards prefers-reduced-motion (does not start). One per screen; on web use sparingly.

日本語の概要は準備中です。原文の説明を表示しています。

Clean up translation-ese and AI-writing tics in Korean prose so it reads like a person wrote it — content (facts, numbers, proper nouns, quotes) stays 100% unchanged, only style and rhythm are touched. Single-pass, done in this session. Triggers — AI 티 없애줘, 번역투 고쳐줘, 한글 자연스럽게 윤문해줘, sounds like a machine translation, remove AI tells from this Korean text, make this Korean read naturally. Not for: marketing copy generation (write it clean the first time — see rules/korean-writing-quality.md), English text, plain spell-check (see korean-spell-check), or book-length manuscripts.

日本語の概要は準備中です。原文の説明を表示しています。

Fix a GitHub issue by number. Use when asked to fix GitHub issues.

日本語の概要は準備中です。原文の説明を表示しています。

Use when building in-game HUDs — health bars, score displays, minimap, notifications, and damage numbers

日本語の概要は準備中です。原文の説明を表示しています。

Use when implementing game math — vectors, transforms, interpolation, curves, random number generation, and common geometric recipes

日本語の概要は準備中です。原文の説明を表示しています。

Break a PRD into native GitHub sub-issues attached to the parent PRD. Project-local variant of /to-issues, adapted for this repo's PRD-as-parent + native sub-issues + agent:implement multi-session workflow. Argument is the parent PRD issue number.

日本語の概要は準備中です。原文の説明を表示しています。

EXPERIMENTAL — mutation testing with muter to measure whether tests actually assert anything: mutants that survive reveal assertion-free coverage. Advisory report only, never a merge gate. Use on engine/logic targets when coverage numbers look good but bugs still slip through.

日本語の概要は準備中です。原文の説明を表示しています。

Spatially-aware quality control (QC) software for both spot-level and artifact-level QC in spot-based spatial transcripomics, such as 10x Visium. These methods calculate local (nearest-neighbors) mean and variance of standard QC metrics (library size, unique genes, and mitochondrial percentage) to identify outliers spot and large technical artifacts. Scales linearly with the number of spots and is designed to be used with 'SpatialExperiment' objects.

日本語の概要は準備中です。原文の説明を表示しています。

Method for scalable identification of spatially variable genes (SVGs) in spatially-resolved transcriptomics data. The method is based on nearest-neighbor Gaussian processes and uses the BRISC algorithm for model fitting and parameter estimation. Allows identification and ranking of SVGs with flexible length scales across a tissue slide or within spatial domains defined by covariates. Scales linearly with the number of spatial locations and can be applied to datasets containing thousands or more

日本語の概要は準備中です。原文の説明を表示しています。

sechm provides a simple interface between SummarizedExperiment objects and the ComplexHeatmap package. It enables plotting annotated heatmaps from SE objects, with easy access to rowData and colData columns, and implements a number of features to make the generation of heatmaps easier and more flexible. These functionalities used to be part of the SEtools package.

日本語の概要は準備中です。原文の説明を表示しています。

The filtering uses intelligent methods to generate output 10X matrices as would be otherwise generated by CellRanger. The ranking option serves to illustrate the number of detected barcodes in the sample.

日本語の概要は準備中です。原文の説明を表示しています。

Gene Expression Omnibus(GEO) and The Cancer Genome Atlas (TCGA) provide us with a wealth of data, such as RNA-seq, DNA Methylation, SNP and Copy number variation data. It's easy to download data from TCGA using the gdc tool, but processing these data into a format suitable for bioinformatics analysis requires more work. This R package was developed to handle these data.

日本語の概要は準備中です。原文の説明を表示しています。

A first step in the data analysis of Mass Spectrometry (MS) based proteomics data is to identify peptides and proteins. With this respect the huge number of experimental mass spectra typically have to be assigned to theoretical peptides derived from a sequence database. Search engines are used for this purpose. These tools compare each of the observed spectra to all candidate theoretical spectra derived from the sequence data base and calculate a score for each comparison. The observed spectrum

日本語の概要は準備中です。原文の説明を表示しています。

Analyze the photograph uploaded by the user, deconstruct its visual evidence, abstract and distill the essential relationships, then reconstruct them as a new nonliteral lower-panel composition guided by 19 bundled references. Use for CLEAN upper-photo/lower-abstraction editorial artworks with a number, date, and short phrase in the lower panel. This is abstraction and reconstruction, never style conversion or a miniature redraw. Preserve the exact user-uploaded photograph unchanged above.

日本語の概要は準備中です。原文の説明を表示しています。

Expert knowledge for Azure Peering Service development including limits & quotas. Use when validating prefix size, routing setup, BGP config, RPKI status, or AS number requirements, and other Azure Peering Service related development tasks. Not for Azure Internet Peering (use azure-internet-peering), Azure ExpressRoute (use azure-expressroute), Azure Virtual Network (use azure-virtual-network), Azure Virtual WAN (use azure-virtual-wan).

日本語の概要は準備中です。原文の説明を表示しています。

Cialdini's seven principles of compliance (the classic six — reciprocation, commitment-consistency, social proof, liking, authority, scarcity — plus Unity, added 2016) and Pre-Suasion. Use when crafting ethical persuasion (marketing, sales, negotiation), defending against manipulation, or designing systems that need cooperation. Includes replication-crisis caveats and known factual corrections (Bickman parking-meter numbers, Hofling modern replication, Drive Carefully condition disambiguation, Genovese myth).

日本語の概要は準備中です。原文の説明を表示しています。

Turns a brief, script, scene breakdown, treatment, or story idea into ONE connected director's shotlist for Seedance 2.0 — a single editable HTML artifact with a global Style Prefix, an @-asset glossary, and named per-scene prompts (1a, 1b, 2a…) each in Style → Characters → Scene → CUT 1..N form. Use whenever the user says 'make a shotlist', 'break this script into prompts', 'generate Seedance prompts for this ad/film', 'turn this brief into a shot list', 'director's shotlist', or wants many connected scene prompts rather than one. Also use to revise an existing shotlist (edit-once-propagates: 'change the style prefix everywhere', 'rewrite scene 4', 'split prompt 6'). Each prompt targets 15s; longer scenes split across 1a/1b/1c under one scene number.

日本語の概要は準備中です。原文の説明を表示しています。