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This training material is designed to help other trainers re-run and adapt the 'Nextflow for HPC' workshop for their own learners. It includes ready-to-use lessons and guidance for delivering a two-pa…

This training material is designed to help other trainers re-run and adapt the 'Nextflow for HPC' workshop for their own learners. It includes ready-to-use lessons and guidance for delivering a two-part workshop on running reproducible and scalable scientific workflows with Nextflow on high performance computing (HPC) systems.Nextflow is a popular bioinformatics workflow orchestrator that supports portable, reproducible, and scalable analysis across different computational infrastructures. It integrates with HPC job schedulers such as PBS Pro and Slurm, manages parallel task execution, and supports software containers for reproducible analysis.The workshop materials are structured in two parts, using whole genome sequencing (WGS) short variant calling as a running example. Part one covers conceptual HPC foundations (shared systems, schedulers, software modules and containers, resource requests and job costs) and applies them to configuring and running the nf-core/sarek pipeline on HPC. Part two provides hands-on practice configuring, profiling, optimising, and scaling a custom multi-sample Nextflow workflow on HPC. Example code is provided for NCI Gadi (PBS Pro) and Pawsey Setonix (Slurm) and can be adapted to other HPC systems.Format: Originally delivered as two half-day sessions. Adaptable for online, in-person, distributed/hybrid, or self-paced delivery.Target audience: Trainers delivering Nextflow workshops, facilitators supporting hands-on training events, and contributors developing or maintaining Nextflow training curricula. The workshop itself is aimed at researchers and bioinformaticians who have run simple Nextflow pipelines and want to scale them up on HPC.Prerequisites: Completion of an introductory Nextflow workshop (e.g. Hello Nextflow) or equivalent experience, basic command-line skills, and familiarity with how HPC clusters work (e.g. job submission, compute nodes).Learning outcomes: By the end of the workshop, learners should be able to describe what an HPC is and recognise when a workflow needs one; load software with environment modules and run tools in Singularity containers; submit and monitor scheduler jobs and inspect their resource usage; explain how CPU, memory, and walltime requests affect scheduling and cost; distinguish multi-threading from scatter-gather parallelisation; configure Nextflow executors, queues, and containers to run workflows on HPC; layer institutional and run-level configuration files to tune nf-core and custom pipelines; use Nextflow reports, timelines, and trace files to profile resource usage; implement multi-threading and scatter-gather in a Nextflow workflow; and scale an optimised workflow to multiple samples.Contact: georgina.samaha@sydney.edu.au

Ушбу маколада “Навоий” романида Ойбeкнинг табиат ва инсон рухияти муштараклигини ифодалаш, рамзий ифодани кучайтириш махорати тахлили оркали адиб насрий мepoсининг узига хослиги ёритилган.…

Ушбу маколада “Навоий” романида Ойбeкнинг табиат ва инсон рухияти муштараклигини ифодалаш, рамзий ифодани кучайтириш махорати тахлили оркали адиб насрий мepoсининг узига хослиги ёритилган. Муайян умумлашмалар чикарилган.

Mazkur tezisda TALIS xalqaro tadqiqoti asosida bo'lajak o'qituvchilarning professional kompetensiyasini takomillashtirish masalasi tahlil etilgan. O'qituvchining professional kompetensiyasi zamonaviy …

Mazkur tezisda TALIS xalqaro tadqiqoti asosida bo'lajak o'qituvchilarning professional kompetensiyasini takomillashtirish masalasi tahlil etilgan. O'qituvchining professional kompetensiyasi zamonaviy ta'lim jarayonida nafaqat fan va pedagogik bilimlarga ega bo'lish, balki ta'lim oluvchilar bilan samarali muloqot qilish, sinfni boshqarish, hamkasblar bilan hamkorlik qilish, innovatsion pedagogik texnologiyalardan foydalanish va o'z kasbiy faoliyatini muntazam takomillashtirish qobiliyatlarini ham qamrab oladi. TALIS tadqiqotida o'qituvchilarning kasbiy rivojlanishi, pedagogik amaliyoti, hamkorlik faoliyati va ish sharoitlari o'rganilishi bo'lajak pedagoglarni tayyorlash mazmunini takomillashtirish uchun muhim metodik asos bo'lib xizmat qiladi. O'zbekistonning TALIS 2024 tadqiqotida ishtirok etishi mazkur yo'nalishning mamlakatimiz ta'lim tizimi uchun dolzarbligini yanada oshirmoqda.

This dissertation investigates the physicochemical properties of activated carbon modified with halogen-, sulfur- and nitrogen-containing compounds. Three types of commercial activated carbon with dif…

This dissertation investigates the physicochemical properties of activated carbon modified with halogen-, sulfur- and nitrogen-containing compounds. Three types of commercial activated carbon with different structural and surface characteristics were used as carbon substrates. The surface of activated carbon was modified by bromination, chlorination and fluorination, followed by the preparation of nitrogen- and sulfur-containing carbon materials using halogenated precursors. The modified materials were characterized using chemical analysis, thermogravimetric analysis, temperature-programmed desorption with infrared and mass-spectrometric detection, X-ray photoelectron spectroscopy, scanning electron microscopy, and measurements of specific surface area. Quantum-chemical calculations were also used to examine polycyclic aromatic hydrocarbons as molecular models of carbon surfaces. The study examines the nature and reactivity of surface functional groups formed during halogen modification and their subsequent transformation by nucleophilic reagents and sulfur- or nitrogen-containing compounds. Bromination and gas-phase chlorination were shown to produce halogen-containing surface species with different chemical stability and reactivity. Halogenated activated carbons were further used as precursors for the formation of nitrogen- and sulfur-containing surface groups. The resulting materials were investigated in relation to their physicochemical and catalytic properties, including palladium-containing catalysts and the dehydration of isopropanol. The results provide experimental data on the relationship between the chemical modification of activated carbon surfaces, the nature of surface functional groups, and the resulting physicochemical and catalytic properties of the materials.  

Code and trained YOLOv8n weights for BettaAI, a dual-camera object-detection pipeline that quantifies aggressive displays in Betta splendens. This version (1.0.0) includes:- weights/best_XY.pt and bes…

Code and trained YOLOv8n weights for BettaAI, a dual-camera object-detection pipeline that quantifies aggressive displays in Betta splendens. This version (1.0.0) includes:- weights/best_XY.pt and best_XZ.pt (top- and side-view models used in the manuscript / fishbehavlab tool)- Training notebooks and YAML configs (Ultralytics 8.1.29)- Post-processing code (pp_utils.py, config.ini)- README  

Soft clay soil generally has low bearing capacity and low shear strength because of its moderate plasticity and weak inter-particle cohesion, which frequently causes civil engineering problems such as…

Soft clay soil generally has low bearing capacity and low shear strength because of its moderate plasticity and weak inter-particle cohesion, which frequently causes civil engineering problems such as settlement, shrinkage, swelling, and slope failure, particularly during periods of high rainfall. This study aims to determine the physical and mechanical properties of clay soil before treatment and to evaluate the effect of a zeolite and plastic sack fiber (PSF) mixture on its shear strength. The clay sample was taken from Pa'besenan, Tadongkon Village, Kesu' Sub-district, North Toraja Regency. The research was experimental in nature and was carried out at the Soil Mechanics Laboratory of the Civil Engineering Study Program, Universitas Kristen Indonesia Toraja, referring to SNI 1738:2011. Zeolite content was varied at 3%, 7%, and 13% of soil weight, combined with a constant plastic sack fiber content of 0.2% for every variation, with curing periods of 3, 7, and 14 days. Laboratory tests included sieve analysis, specific gravity, water content, Atterberg limits, compaction (Proctor), and direct shear tests. The AASHTO classification system placed the original soil in group A-2-7 (clayey soil). Adding zeolite and plastic sack fiber increased the specific gravity, optimum moisture content, and maximum dry density in every mixture variation compared with the untreated soil. The shear strength of the untreated soil was 33.17 kN/m²; it increased progressively with higher zeolite content and longer curing time, reaching a maximum of 54.38 kN/m² for the 13% zeolite + 0.2% plastic sack fiber mixture at 14 days of curing, an increase of about 64% over the untreated soil. These results indicate that zeolite acts as the dominant pozzolanic binder that cements the soil particles together, while the plastic sack fiber restrains particle displacement, and that the combination is a promising, low-cost, and environmentally beneficial alternative for stabilizing soft clay soil.

Introduction: The systematic monitoring of Earth’s climate relies on the availability of long-term, highquality Earth Observation (EO) time series. The European Space Agency (ESA) addresses…

Introduction: The systematic monitoring of Earth’s climate relies on the availability of long-term, highquality Earth Observation (EO) time series. The European Space Agency (ESA) addresses this need through the generation of Fundamental Data Records (FDRs), which represent a refined class of data products that have undergone rigorous reprocessing to ensure they meet the requirements of climate research and environmental modelling. Ensuring Metrological Consistency: The primary value of an FDR lies in its consistency and metrological traceability [1]. Satellite instruments are subject to degradation in the space environment, and successive missions often utilize different sensor technologies, leading to potential biases. Without careful intercalibration and homogenization, these variations can be misinterpreted as actual geophysical changes. ESA’s FDRs mitigate these artifacts by aligning data from multiple sensors - both past and present - to a common reference standard. This process eliminates "jumps" or discontinuities between missions, allowing scientists to detect subtle long-term trends with high confidence. Enhancing Scientific Usability: For a dataset to be significant it must possess a high degree of usability across diverse scientific disciplines. ESA observes the FAIR principles (Findable, Accessible, Interoperable, and Reusable), ensuring that FDRs are not merely archived but are actively integrated into modern research. This involves the use of standardized file formats, and the inclusion of comprehensive metadata that details the data’s provenance and uncertainty estimates. By providing well-documented Analysis-Ready Data (ARD) [2], ESA lowers the technical barriers for researchers, enabling the uniform integration of historical satellite records into contemporary climate models and decision-support systems. Long-Term Sustainability: The sustainability of FDRs is maintained through active data stewardship and iterative reprocessing cycles. As scientific understanding of sensor physics and atmospheric correction algorithms evolves, ESA periodically reprocesses its entire data archive to incorporate these advancements. This ensures that the records remain state-of-the-art and do not become "static" or obsolete. Furthermore, sustainability involves the preservation of the scientific knowledge required to interpret these records for future generations. By integrating these three pillars, ESA’s Fundamental Data Records (FDRs) provide the essential metrological foundation for the generation of a consistently reprocessed long and stabilised record of uncertaintyquantified sensor observations that are calibrated to physical units and located in time and space [1]. By bridging the gap between raw telemetry and modern climate data, this framework transforms decades of dissimilar observations into a singular, trustworthy dataset, ensuring that our understanding of the planet remains grounded in high-fidelity evidence for next generations. References:[1] E. Woolliams, P. Green, S. Hunt, T. Gardiner, P. Woolliams, D. Medland. (2024) General guidance on a metrological approach to Fundamental Data Records (FDR).[2] CEOS Analysis Ready Data web site. Accessed on March 20.

Initial release of the GENE simulation input dataset. This release contains: Ten GENE parameter files. Ten corresponding ITERDB profile files. One common magnetic-equilibrium file, g022663.005340. T…

Initial release of the GENE simulation input dataset. This release contains: Ten GENE parameter files. Ten corresponding ITERDB profile files. One common magnetic-equilibrium file, g022663.005340. The dataset covers five ion-temperature logarithmic-gradient scale factors (0.80, 0.90, 1.00, 1.10, and 1.20), each with and without kinetic fast ions. Dataset creators: Il-Hwan Kim and Jaemin Seo. License: CC BY 4.0.

Написанные Айбеком такие статьи и выступления, как «Учиться у вождя», «Пушкин - великий поэт русского народа», «Литература, которая показала мне новый мир», по…

Написанные Айбеком такие статьи и выступления, как «Учиться у вождя», «Пушкин - великий поэт русского народа», «Литература, которая показала мне новый мир», посвящены русской литературе и т ворчест ву её представителей.