Our Work

This paper reports a 10×10 1-bit reconfigurable intelligent surface (RIS) for the 5G NR n78 band, built for under USD 250 and used as a measurement-validated test vehicle: every as-built non-ide…

This paper reports a 10×10 1-bit reconfigurable intelligent surface (RIS) for the 5G NR n78 band, built for under USD 250 and used as a measurement-validated test vehicle: every as-built non-ideality is carried through the analysis, and every measured quantity is compared with simulation under a stated uncertainty. The H-slot patch unit cell switches with a USD 0.027 general-purpose PIN diode on an unbonded two-board Rogers RO4350B stack, with the bias network on the top copper and the interface air gap in the full-wave model; simulation gives ≈202° of reflection-phase contrast at 3.5 GHz (≈232° with the air gap), above 150° over 8.5% bandwidth. Column-wise control reduces the 100-element panel to ten bias lines. A co-rotating bistatic S21 measurement with time-domain gating, validated by three independent checks, shows the half/half coding forming a diffraction-limited lobe at +16° to +18° with 18.5° half-power beamwidth, 8.5–10 dB above the suppressed specular direction, and mirrored by coding reversal. The lobe-to-specular ratio bounds the effective two-state contrast to within ≈30° of 180°, consistent with simulation. The one systematic deviation, an ≈80 MHz downshift of the band center, is traced to the unbiased OFF state of the sink-only driver.

Cet article propose une lecture relationnelle de l’enseignement des mathématiques, de l’école à l’université. Il examine des opérations conceptuell…

Cet article propose une lecture relationnelle de l’enseignement des mathématiques, de l’école à l’université. Il examine des opérations conceptuelles transversales — engendrer, structurer, transformer, identifier, préserver et approcher — et leur réapparition dans l’arithmétique, l’algèbre, la géométrie et l’analyse. L’objectif n’est pas d’effacer les changements d’objets, de définitions ou de preuves propres à chaque niveau, mais de rendre visibles certaines continuités structurales : groupes, actions, orbites, équivalences, quotients, invariants, partitions et approximations. Ce document de travail vise à ouvrir une discussion mathématique et didactique.

The Sensitive Data Expert Group of the Digital Research Alliance of Canada has created a suite of tools for Canadian researchers. These tools have been created to help researchers understand how resea…

The Sensitive Data Expert Group of the Digital Research Alliance of Canada has created a suite of tools for Canadian researchers. These tools have been created to help researchers understand how research data are involved in the research ethics process, and to address the evolution of research data management (RDM) practices such as data sharing and deposit in the context of existing research ethics frameworks. The guidance below is intended to help researchers minimize disclosure risk when sharing data that may pose risk to human research participants or to other entities.

Ushbu izlanishda Imom Buxoriyning «Al-Jome’ as-sahih» to‘plamidagi ayrim hadislarning mazmuniy qatlamlari hamda ularning estetik-badiiy ifodalanishi tadqiq qilingan. Matnda met…

Ushbu izlanishda Imom Buxoriyning «Al-Jome’ as-sahih» to‘plamidagi ayrim hadislarning mazmuniy qatlamlari hamda ularning estetik-badiiy ifodalanishi tadqiq qilingan. Matnda metafora, metonimiya, tashbeh, tazod va qofiyali nasr (saj’) usullarining g‘oyaviy-mantiqiy vazifalari muayyan parchalar misolida tahlil etilgan.

Public release of Diff-SPORT, the code accompanying the paper Diffusion-based sensor placement optimization and reconstruction of turbulent flows in urban environments A. Vishwasrao, S. B. C. Gutha, …

Public release of Diff-SPORT, the code accompanying the paper Diffusion-based sensor placement optimization and reconstruction of turbulent flows in urban environments A. Vishwasrao, S. B. C. Gutha, A. Cremades, K. Wijk, A. Patil, H. D. Lim, C. Vanderwel, C. Gorle, B. J. McKeon, H. Azizpour, R. Vinuesa Preprint: arXiv:2506.00214, accepted in principle at NatCom Diff-SPORT combines a diffusion-model prior, maximum a posteriori inference and Shapley-value attribution to reconstruct turbulent flow fields from sparse sensors and to choose where those sensors should go. Citation Please cite the paper if you use this code. A CITATION.cff file is included, and the journal reference will be added once the article is published. Released under the MIT License.

datalab is a place to store experimental data and the connections between them.

# LLMs Are Not a Silver Bullet: A Case Study on Software Fairness This repository contains the artifact for our empirical study on ML-based and LLM-based bias mitigation for tabular classification. …

# LLMs Are Not a Silver Bullet: A Case Study on Software Fairness This repository contains the artifact for our empirical study on ML-based and LLM-based bias mitigation for tabular classification. The current documentation follows the paper structure: - installation and experimental environment - repository structure for `ML/`, `LLM/`, `LLM/qwen_finetune/`, and `paper_results/` - reproduction commands for RQ1–RQ4 Detailed command examples are also provided in [docs/rq_commands.md](docs/rq_commands.md). ## Experimental Environment All experiments in the paper are implemented in Python 3.11.9. For the traditional ML paradigm, we use: - [IBM AIF360](https://github.com/Trusted-AI/AIF360) for bias mitigation methods and fairness metrics - `scikit-learn` for traditional classifiers - `TensorFlow Keras` for the DNN model For the LLM paradigm, we use API-based inference and fine-tuning: - OpenRouter for model inference - OpenAI API for fine-tuning The local Qwen fine-tuning implementation used in RQ4 is under `LLM/qwen_finetune/`. ## Installation We recommend using a virtual environment before installing the dependencies. ```bash python -m venv venv source venv/bin/activate pip install -r requirements.txt ``` If you encounter dependency issues related to AIF360, please refer to the official AIF360 installation page: - https://github.com/Trusted-AI/AIF360 ### API Keys Create a `.env` file in `LLM/`: ```bash OPENAI_API_KEY=your_openai_key OPENROUTER_API_KEY=your_openrouter_key ``` - `OPENAI_API_KEY` is required for GPT-based inference and OpenAI fine-tuning. - `OPENROUTER_API_KEY` is used when routing non-OpenAI models through OpenRouter. ## Repository Structure ### `ML/` This folder contains the traditional ML scripts used in RQ1. ML settings in the paper: - `default.py` - `cot.py` - `ltdd.py` - `fairmask.py` - `adv.py` - `maat.py` - `mirrorfair.py` - `eop.py` - `roc.py` Classifiers used in the paper: - `lr` - `svm` - `rf` - `dnn` ### `LLM/` This folder contains the main LLM pipeline used in RQ1–RQ4. Core scripts: - `main.py`: unified entry point - `zero_shot.py`: zero-shot inference - `few_shot.py`: few-shot inference - `finetune.py`: OpenAI fine-tuning pipeline LLM settings in the paper: - `zero_shot` - `few_shot` with `random` - `few_shot` with `label_flipping` - `few_shot` with `S1` (`--strategy balanced`) - `few_shot` with `S2` (`--strategy minority_balanced`) - `few_shot` with `S3` (`--strategy minority_unbalanced`) - `few_shot` with `FCG-S1` (`--strategy balanced --use_fcg`) - `few_shot` with `FCG-S2` (`--strategy minority_balanced --use_fcg`) - `few_shot` with `FCG-S3` (`--strategy minority_unbalanced --use_fcg`) - `finetune` with `random` - `finetune` with `cot` - `finetune` with `ltdd` - `finetune` with `fairmask`   ### `LLM/qwen_finetune/` This folder contains the local Qwen fine-tuning implementation used in RQ4. ### `paper_results/` This folder stores the reproducible paper results organized by research question: - `paper_results/rq1/` - `paper_results/rq2/` - `paper_results/rq3/` - `paper_results/rq4/` Paper-table summaries can be regenerated from these reproducible results with: ```bash cd Analysis_code python rq1.py python rq1_trans.py python rq2.py python rq3.py python rq4.py ``` Runtime outputs may also be generated under: - `ML/results/` - `LLM/results/` - `ML/predictions/` - `LLM/predictions/` ## Datasets The paper evaluates six dataset-attribute configurations derived from three benchmark datasets. | Name | Size | Sensitive attr(s) | Favorable label | Description | |------|------|-------------------|-----------------|-------------| | Adult | 48,843 | sex, race | income > 50K | Predict whether an individual's income exceeds 50K. | | COMPAS | 6,172 | sex, race | no recidivism | Predict criminal defendant recidivism. | | Credit | 30,000 | sex, age | default | Predict whether a customer will default on payment. | Sensitive attribute definitions: | Dataset | Attribute | Privileged group | Unprivileged group | |---------|-----------|------------------|--------------------| | Adult | sex | Male | Female | | Adult | race | White | Non-White | | COMPAS | sex | Female | Male | | COMPAS | race | Non-African-American | African-American | | Credit | sex | Female | Male | | Credit | age | `>=25 and <60` years | `<25 or >=60` years | ## Research Questions The reproduction commands for RQ1–RQ4 are provided in (docs/rq_commands.md).

Ushbu tezisda zamonaviy o‘zbek nasri va she’riyati Xurshid Do'stmuhammad va Usmon Azim misolida tinish belgilarining lingvopoetik imkoniyatlari hamda muallif punktuatsiyasining o‘zig…

Ushbu tezisda zamonaviy o‘zbek nasri va she’riyati Xurshid Do'stmuhammad va Usmon Azim misolida tinish belgilarining lingvopoetik imkoniyatlari hamda muallif punktuatsiyasining o‘ziga xos xususiyatlari tadqiq etilgan. Badiiy matnda tinish belgilarining faqat grammatik-sintaktik vosita emas, balki emotsional-ekspressivlik, psixologik taranglik va ritmik-intonatsion tuzilishni shakllantiruvchi polifunksional semiotik birlik ekanligi ilmiy dalillangan.

 The development of innovative management models in primary education institutions is becoming increasingly important in the context of digital transformation, changing educational needs, and the…

 The development of innovative management models in primary education institutions is becoming increasingly important in the context of digital transformation, changing educational needs, and the growing demand for learner-centred education. This article examines the theoretical and pedagogical foundations of developing an innovative management model for primary education institutions. The study focuses on the integration of strategic planning, digital technologies, data-driven decision-making, teacher collaboration, continuous monitoring, and stakeholder participation into school management. The proposed model combines administrative, pedagogical, technological, and analytical components and is designed to improve the quality of educational processes and institutional effectiveness. The research uses theoretical analysis, comparative analysis, system modelling, and generalisation of international educational research. The findings indicate that innovative management should move beyond traditional administrative functions toward a flexible, collaborative, evidence-based, and learner-centred approach. The proposed model provides a systematic framework for diagnosing institutional needs, planning development strategies, implementing innovations, monitoring outcomes, and continuously improving management practices.