astronomy-physics
304
generate-satellite-clip-prompts
Generate discriminative text prompts and geometric descriptions for zero-shot classification of satellite imagery using OpenAI's CLIP model.
ECNU-ICALK
research
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astronomy-physics
304
generate-tts-celestial-descriptions
Generates engaging, narrative-style descriptions of celestial bodies optimized for Text-to-Speech (TTS) and YouTube Shorts. Supports astronomical fact/mythology and astrological interpretation modes with flexible, user-defined word count constraints.
ECNU-ICALK
research
astronomy-physics
304
geolocation-data-analysis-and-country-ranking
Process a pipe-delimited dataset containing geolocation data to determine countries using the ReverseGeocoder library, clean the data, and identify the second most frequent country while handling common pandas warnings.
ECNU-ICALK
research
astronomy-physics
304
ufo-history-list-formatter
Generates a short-form list of reported UFO encounters or phenomena from training data for a specific location, formatted as '- [year]: [short description]'.
ECNU-ICALK
research
astronomy-physics
304
dynamic-screen-region-normalization
Calculates and captures screen regions that adapt to window movement and size changes using relative positioning, boundary constraints, and virtual resizing techniques.
ECNU-ICALK
research
astronomy-physics
304
astrological-image-prompt-generator
Generates detailed, descriptive image captions for astrological placements, acting as a specialized team bot for image generation. Adheres to strict word count limits and specific modification logic for iterative refinement.
ECNU-ICALK
research
astronomy-physics
304
celestial-seer-terminal-interpreter
A Dyson Sphere-powered AI interfacing via a retro command-line terminal. Executes complex astrological interpretations—including specific counts of retrograde planets—with a mystical, Crowley-esque, and poetic tone. Covers planets, asteroids, TNOs, Uranian points, hypothetical points, and RPG archetypes.
ECNU-ICALK
research
bioinformatics
304
algebraic-problem-solver
Solves algebraic problems including quadratic equations (via specific methods like square root or formula), polynomial factoring, and graphing. Ensures solutions are in simplified radical or reduced fraction form, with intercepts as ordered pairs.
ECNU-ICALK
research
bioinformatics
304
dart-progressive-random-subset-generator
Implements a Dart function to pick random integers from a list using a seed and a specific custom PRNG snippet. Ensures that increasing the output length n results in a list that strictly contains the previous smaller list as a subset, with results sorted in ascending order.
ECNU-ICALK
research
bioinformatics
304
rfid-range-calculation-with-material-effects-in-matlab
Generate MATLAB code to calculate and plot the read range of an RFID tag, accounting for material properties (conductivity, permittivity), reflection loss, skin depth, and system parameters (antenna gain, sensitivity).
ECNU-ICALK
research
bioinformatics
304
keras-bidirectional-simplernn-model-definition
Defines a Keras Sequential model utilizing a Bidirectional SimpleRNN layer for sequence tagging, adhering to a specific compilation and training loop structure.
ECNU-ICALK
research
bioinformatics
304
dna-to-mrna-transcription
Transcribes DNA sequences into complementary mRNA sequences, adhering to base pairing rules (A-U, T-A, C-G, G-C) and handling specific output directionality requests (5' to 3' or 3' to 5').
ECNU-ICALK
research
computational-chemistry
304
water-thermal-synthesis-of-carbon-dots-sop
A fully executable, safety-critical standard operating procedure for hydrothermal synthesis of carbon dots using citric acid–urea, strictly constrained to ≤180 °C reaction temperature and mandating 0.22 μm filtration as the final, non-omissible purification step.
ECNU-ICALK
research
computational-chemistry
304
ai-assisted-diagnosis
扮演人工智能辅助医生的角色，结合最新的AI工具（如医学成像、机器学习）和传统医疗方法（如体检、实验室测试）来分析病人资料，诊断症状原因。
ECNU-ICALK
research
computational-chemistry
304
political-chameleon-character-simulator
Simulates a character's physical appearance and attributes based on the current control of the US Presidency, House of Representatives, and Senate, using specific mapping rules for hair color, hair length, and eye color.
ECNU-ICALK
research
lab-tools
304
scientific-research-question-generator
Generates a research question from an experiment aim, ensuring it is specific, non-binary, and includes variables.
ECNU-ICALK
research
lab-tools
304
fine-tune-distilbert-on-jsonl-with-manual-encoding
Generates a Python script to fine-tune a DistilBert model on a JSONL dataset containing 'question' and 'answer' columns. The script uses manual label mapping (avoiding sklearn), includes progress logging, error handling, and model evaluation.
ECNU-ICALK
research
scientific-computing
304
recursive-why-chain-simulation
Simulates a chain of 'why' questions and answers internally for a specified number of iterations, returning only the final answer in the sequence.
ECNU-ICALK
research
scientific-computing
304
modlisation-lagrangienne-de-systme-de-masses-ressorts
Modéliser et analyser une chaîne d'oscillateurs (masses reliées par des ressorts) en calculant les énergies, le lagrangien, les équations du mouvement et en effectuant une analyse modale, en utilisant SymPy avec des contraintes spécifiques (boucles for, sans numpy).
ECNU-ICALK
research
scientific-computing
304
technical-idea-analysis-and-synthesis-workflow
Process complex technical descriptions by performing an analytical decomposition of components, conducting an associative search to connect with existing domains, and synthesizing a final decision or conclusion.
ECNU-ICALK
research