Our Work

Introduction to all BioEcoOcean Living Labs.

Ushbu maqolada pedagogik oliy ta'lim talabalarining kasbiy mahoratini rivojlantirishda didaktik drama tex nologiyalarining ahamiyati tahlil qilinadi. Didaktik drama metodlari orqali talabalar o'z kasb…

Ushbu maqolada pedagogik oliy ta'lim talabalarining kasbiy mahoratini rivojlantirishda didaktik drama tex nologiyalarining ahamiyati tahlil qilinadi. Didaktik drama metodlari orqali talabalar o'z kasbiy ko'nikmalarini qanday rivo jlantirishlari mumkinligi ko'rsatiladi.

SPiCe-paper-analyses This repository contains the analysis code accompanying the [SPiCe](https://github.com/secrierlab/SPiCe) manuscript.  It has four components:  (i) `merfish_analysis` imp…

SPiCe-paper-analyses This repository contains the analysis code accompanying the [SPiCe](https://github.com/secrierlab/SPiCe) manuscript.  It has four components:  (i) `merfish_analysis` implements the graph neural network (GNN) framework. For each sample of the MERFISH mouse cortex dataset, it builds a spatial k-nearest-neighbour cell graph (k = 20, Euclidean-distance edge weights). It then holds out one cell type at a time and trains a three-layer graph convolutional network (`PyTorch` Geometric) on one-hot cell-type features to predict which remaining cells sit next to the removed type. Evaluation is inductive, on held-out tissue sections, and performance is measured by ROC-AUC. Predictions are interpreted with Integrated Gradients (Captum) for node-level (cell-type) importance, tested against a permutation baseline with Mann–Whitney U tests and multiple-testing correction. `GNNExplainer` is used for edge-level (cell-type-pair) importance. (ii) `spatial_regression` contains Python and R notebooks that model spatially varying relationships in Xenium breast cancer data. They regress an EMT hallmark score on tumour-microenvironment and CNV-derived predictors, such as distances to neighbouring cell populations and principal components. The notebooks fit spatial error models (spreg), geographically weighted regression (`mgwr`) and multiscale `GWR` (`GWmodel` in R), with VIF/correlation filtering and variable-specific bandwidth selection. (iii) `figure_plotting` holds the notebook and conda environment that reproduce the paper’s GNN performance, node/edge importance and network figures from the saved outputs. Conda environment files (`base_env_gnn.yml`, `figures_paper_gnn.yml`) specify the dependencies. The other notebooks show analyses regarding the generalisability, contender frameworks, etc. (iv) `supplementary_analyses` holds the notebooks behind the supplementary results: simulations and a simVI archetype comparison (`00`, `01`, `06`), and Xenium processing, EMT plasticity hallmark scoring, CNA inputs and spatial regression for the breast (`YY_*`), lung (`ZZ_*`) and Xenium v1 (`AA_*`) datasets. The scripts can also been found at [GitHub](https://github.com/secrierlab/SPiCe-paper-analyses). Citation Withnell E, Celik C, Secrier M. SPiCe: integrative spatial modelling of cellular plasticity using graph neural networks and geostatistics. Genome Biology (2026).

This record contains benchmark data and public source-code components for a multi-modal rescue optimization. The files are provided in two separate archives: data.zip: 30 synthetic benchmark instances…

This record contains benchmark data and public source-code components for a multi-modal rescue optimization. The files are provided in two separate archives: data.zip: 30 synthetic benchmark instances, together with the real-geographical case in JSON and AMPL data formats. algorithms.zip: AMPL models for the integrated optimization problem and selected Python components for heuristic algorithms. The Python files provide selected source-code components rather than complete optimization solvers.

SO2- : Sulfur dioxide anion Collection of spectroscopic data: vibrational frequencies, rotational constants, electronic energies, and enthalpies of formation. Calculation of thermodynamic properties a…

SO2- : Sulfur dioxide anion Collection of spectroscopic data: vibrational frequencies, rotational constants, electronic energies, and enthalpies of formation. Calculation of thermodynamic properties as a function of temperature under thermal equilibrium and non-equilibrium conditions: heat capacity at constant pressure (Cp), enthalpy (h), entropy (s), Gibbs free energy (g), internal partition function (Zint), and translational partition function (Ztr).

Maqolada HECI texnologiyasi asosida bo'lajak ingliz tili o'qituvchilarini madaniyatlararo muloqotga tayyorlashning aksiologik va ijodiy asoslari yoritiladi. HECI tarkibidagi insonparvarlik (Humanity),…

Maqolada HECI texnologiyasi asosida bo'lajak ingliz tili o'qituvchilarini madaniyatlararo muloqotga tayyorlashning aksiologik va ijodiy asoslari yoritiladi. HECI tarkibidagi insonparvarlik (Humanity), etika (Ethics), ijodkorlik (Creativity) va tasavvur (Imagination) bo'lajak o'qituvchining muloqotdagi qarorlarini shakllantiruvchi tamoyillar sifatida talqin qilinadi. Nazariy tahlil va pedagogik modellashtirish asosida ushbu tamoyillarni ingliz tili o'qitish metodikasiga singdirish yo'llari taklif etiladi. Aksiologik tayyorgarlik suhbatdoshning qadr-qimmatini hurmat qilish, uning nuqtai nazarini eshitish va o'z munosabatini axloqiy jihatdan asoslashni qamrab oladi. Ijodiy tayyorgarlik esa vaziyatni turli ishtirokchilar nuqtai nazaridan tasavvur qilish, muqobil talqinlarni ilgari surish va muloqot usulini sharoitga moslashtirishda namoyon bo'ladi. O'zbekiston pedagogika oliy ta'lim muassasalari uchun vaziyatli topshiriqlar, rolli o'yinlar va sinov darslaridan foydalanish nazarda tutiladi. Talabaning tayyorgarligini baholashda uning tanlagan yechimi, bu yechimni qanday asoslagani va qayta aloqa asosida nimalarni o'zgartirgani hisobga olinadi. Taklif etilgan metodik yondashuvning samaradorligini pedagogik amaliyotda tekshirish keyingi tadqiqot vazifasi sifatida belgilanadi.