Custom Code Research Articles

The Eurasian Economic Commission: From Its Origins to the Present

This article is devoted to the background and history of the functioning of the Eurasian Economic Commission in the post-Soviet space. It examines the activities of its predecessor, the Customs Union Commission, which operated until November 2011, when, on the basis of the treaty “On the Eurasian Economic Commission,” its powers were transferred to the supranational body of the Eurasian Economic Community—the Eurasian Economic Commission. The Commission of the Customs Union was designed to facilitate the completion of the formation of the legal framework of the Customs Union of members of the Commonwealth of Independent States, including the Customs Code of the Customs Union. The main activities of the Eurasian Economic Commission from the moment of its creation to the present time are traced, and the main stages of the work of the Eurasian Economic Commission of all three convocations of its Boards are examined. The relationship of this supranational body of the Eurasian Economic Community and the Eurasian Economic Union with foreign partners is explored; and the conclusion of agreements on free trade zones with a number of states and regional associations, as well as achievements and challenges faced by integration processes in the Eurasian Economic Union space in the field of trade, customs procedures, technical regulations, industrial cooperation, digitalization of all spheres of activity, etc., is considered.

The CSFs from the Perspective of Users in Achieving ERP System Implementation and Post-Implementation Success: A Case of Saudi Arabian Food Industry

Enterprise resource planning (ERP) systems have a major impact on the functioning of organizations and the development of business strategy. However, one of the main reasons that cause failure in ERP implementations to achieve the expected benefits is that the system is not fully accepted by end users. User rejection of the system is the second reason after time and budget overrun, while the fourth barrier to ERP post-implementation. Most studies have focused on ERP adoption and installation while neglecting post-implementation evaluation, which omits insights into the priority of ERP systems and CSFs from the stance of ERP users. Therefore, this study identified factors that led to user acceptance of the use of ERP systems at both implementation and post-implementation stages (after installation). In addition, this study assessed the interrelationship between the factors and the most influential factors toward user acceptance. A survey was conducted among pioneers of the food industry in Saudi Arabia, which included 144 ERP system users from assembly and manufacturing, accounts, human resources, warehouse, and sales departments. The descriptive-analytical approach was deployed in this study. As a result, project management, top management support, and user training had significant impacts on the efficacy of ERP system implementation. On the contrary, support for technological changes in new software and hardware, managing changes in systems, procedures, and work steps already in place within the organization, as well as user interfaces and custom code, displayed a direct impact on user acceptance of ERP systems post-implementation. This study is the first research that provides a rating of CSFs from the perspective of its users in Saudi Arabia. It also enables decision makers of food industries to better assess the project risks, implement risk-mitigation methods, create appropriate intervention techniques to discover the strengths and limitations of the ERP users, and value the “best of fit” solutions over “best practice” solutions when determining the most appropriate option for food industries.

Import VAT Is Not Part of the Customs Debt

The Court of Justice of the European Union, with the ruling of 12 May 2022 rendered in case C-714/20, affirmed two important principles: first of all, the Court held that Article 77 (3) of the Union Customs Code must be interpreted as meaning that, on the basis of that provision alone, the indirect customs representative is only liable for the duties due on goods which he has declared to customs, while not being also liable for the value added tax for import of the same goods; moreover, this representative, pursuant to Article 201 of the Council Directive 2006/112/EC - the European Community -, pertaining to the common system of value added tax, cannot be held liable for the payment of the value added tax on imports, jointly and severally with the importer, in the absence of national provisions that designate or recognize him or her, explicitly and unambiguously, as the payer of this tax. The legal question submitted to the Court of Justice has a long history. Already during the validity of the Community Customs Code, repealed from 1 May 2016, several customs administrations of the Member States of the European Union (including Italy) used to, in case of revision of the import customs declaration from which resulted in a greater duty and VAT (Value Added Tax) debt, notify an assessment notice both to the importer and to his/her indirect customs representative, jointly and severally, to recover both taxes. This is a consequence that derived, under the Community Code, from Article 201, paragraph 3, and, in the Union Code, from the express provision of Article 77, paragraph 3: both provisions, in identifying the figure of the debtor of the customs duties, state it is the ‘declarant’, while ‘In the event of indirect representation, the person on whose behalf the customs declaration is made shall also be a debtor’. However, this approach has been the subject of numerous disputes, fundamentally based on the consideration that the reference to Article 77 of the Union Customs Code (and, before that, Article 201 of the Community Customs Code) did not appear relevant to justify the recovery of VAT. The Court of Justice has now clarified the meaning of these provisions. Importer, representation, declaration, solidarity, person, territory, obligations, duties, value added tax

Saturday, June 18, 20227:40 AM - 5:00 PMPO22 Presentation Time: 7:40 AM: A Novel Algorithm for Automatic Interstitial Needle Tracking on PETRA MRI for HDR Brachytherapy

<h3>Purpose</h3> Current practice for interstitial high-dose-rate (HDR) brachytherapy treatment planning involves manual tracking of needle positions on CT images. Recently, PETRA MRI showed the potential to detect empty interstitial gynecological brachytherapy needles owing to low needle signal, intermediate tissue contrast and high spatial resolution. We aimed to develop an algorithm for automatic interstitial needle tracking on PETRA images by employing their negative contrast against surrounding tissue. <h3>Materials and Methods</h3> Fourteen ProGuide Sharp Needles 6Fx294mm were implanted in an endometrial adenocarcinoma patient using a Syed-Neblett template. One of the needles lay in the obturator center, and six inside the obturator slots. The patient underwent standard CT imaging with copper-filled needles. After marker removal, 3D PETRA images of the patient's pelvis (TR\TE 3.32\0.07 ms, voxel size 0.9 mm³ isotropic, 416 slices) were acquired on a 3T Siemens Vida MR scanner. PETRA MR images were analyzed for interstitial needle detection using custom code in MATLAB R2022a. A rectangular part of all axial slices where needles may be contained (slices 149-310) was selected. For each slice part, corner points were extracted from the original part and from its sharpened gradient magnitude image by detecting Harris features. Points found within Euclidean distance (ED) of 3 pixels on both images were matched, and the pixel with minimum signal intensity closest to each such point on the original part was selected. Minimum intensity points lying within 2 pixels ED between subsequent slices were considered as possible catheter coordinates. Such points appearing on at least 10 continuous slices were designated as true catheters, and their positions were compared to those visible on CT. <h3>Results</h3> Figure 1a) displays the selected MR image parts for two example slices. Pixels with detected Harris features and their closest signal minima are marked by red and green crosses, respectively, in b). Pixels accepted as needle positions are shown as magenta crosses in c). Matching CT image parts with bright marker-filled needles are displayed in d). Empty interstitial catheters on PETRA images corresponded to local minima of signal intensity, located near Harris features. The assumption of needle position continuity within an allowed distance along subsequent slices helped avoid spurious signal minima, while following needle position variations caused by different deflection angles. Needles guided through the obturator grooves and the central needle were detected only after they became detached from the obturator (ex. figure left). All 14 needles were tracked along their visible length inside tissue (ex. figure right). Visual comparison to CT images confirmed interstitial catheter detection on MRI. Selecting a range of slices and zooming on a part of each slice for analysis reduced computational time and output data size. <h3>Conclusions</h3> Automated detection of interstitial needles is feasible on PETRA MR images and may facilitate MR-only treatment planning in interstitial HDR brachytherapy. The newly developed algorithm was able to track all needles inside tissue based on their signal intensity characteristics, without requiring manual seed position placement.

Atomic-Scale Strucural Analysis of Pt-Based Nanoparticles Using Scanning Transmission Electron Microscopy

Polymer electrolyte fuel cells (PEFCs) is proposed as an alternative to the power generation system in fuel cell vehicles. The performance of the PEFCs is significantly affected by the catalytic activity of the cathode, which contains platinum in general. Recent theoretical studies show that the Pt-Pt interatomic distance at the subsurface of the Pt-based catalysts might considerably influence the catalytic activity. However, experimental evidence remains a challenge due to the requirement of measurement accuracy in picometers at the subsurface. The present work attempts to achieve precise measurements on the Pt-Pt interatomic distance of Pt particles by high-angle annular dark-field (HAADF) imaging in scanning transmission electron microscopy (STEM). Further, we also aim to understand the effects of the change in Pt-Pt interatomic distance on the catalytic activity.A catalyst of 10 wt.% Pt-loaded on graphitized carbon (Sigma-Aldrich) was used in this work. TEM specimen was prepared by dispersing the catalyst on a carbon film supported copper grid. Structural characterizations were examined by a spherical aberration corrected scanning transmission electron microscope (JEM-2100F, JEOL) operated at 200 kV.In order to determine the Pt atomic coordinate accurately, images were first taken under the optimized conditions. Further, a series of images were taken and integrated to form one image with high signal-to-noise ratio and minimized drifting. Finally, the Pt atomic coordinates were extracted precisely on a picometer scale by fitting of the individual atomic columns to two-dimensional Gaussian functions using a custom code developed by MatLab software. To gain insight into the atomic changes in Pt particle, a map of Pt-Pt interatomic displacement vector was constructed and superimposed on the HAADF-STEM image. Intriguingly, a significant Pt-Pt interatomic displacement occurs at the surface of the Pt particle, corresponding to changes in surface morphology and particle size.The state-of-the-art methodology demonstrated here could greatly advance our understanding of surface chemistry of Pt-based catalysts such as Pt3Co alloys. Further understanding of the correlation between the interatomic distances on the catalyst surface and the catalytic activity may give considerable interests and guidelines for future developments of PEFCs.

Sui Generis of European Union Customs Law

Every year the interest of scientists from around the world in studying sui generis of EU customs law increases. The aim of this article is to initiate a scientific discussion on the development of an alternative approach to the understanding of EU customs law sui generis. It is suggested that one should not be limited by the characteristics of the provisions of the Common Customs Tariff and the EU Customs Code when justifying the uniqueness of EU customs law. The article considers the history of the EU customs law formation within four stages and demonstrates that modern EU customs law is formed by: EU founding agreements; acts adopted by EU institutions; agreements concluded both between EU member states and with third states; national customs law of EU member states; and practice of application of EU customs legislation, in particular, judicial practice. The paper identifies priority areas for the future development of EU customs law to include the single European customsagency formation and further approximation of customs laws of EU member states.

Features of the functioning of duty free and tax free areas in Ukraine and the European Union

Introduction. In the current conditions of the development of foreign economic relations in Ukraine, the activity of duty-free shops is of particular importance. However, at the moment, the peculiarities of the activity of duty-free shops are practically not covered in the regulatory acts of Ukraine. The purpose of the paper is to investigate the activity of duty free and tax free in Ukraine, to identify problematic aspects and to propose specific directions for solving the problem. Results. The special status of duty-free shops is not directly established either by the Treaties on the EU or the Treaty on the Functioning of the EU, nor by the consolidated Customs Code of the EU member states. In EU duty-free shops, the "tax-free" system operates, which differs precisely in that the goods are not exempt from VAT for EU citizens, but at the same time, non-EU citizens are provided with the possibility of receiving a refund of the value of the added tax the value for which the customs declaration is filled out. Such a system is connected with the fact that the EU actually has no borders. Ukraine is the only European country where there is no tax-free option for tourists. Conclusion. According to the results of the research, it is worth emphasizing that it is necessary to introduce automatic and transparent VAT refund procedures, as in the EU countries, to introduce new provisions to the Tax Code of Ukraine, which will provide for and describe in detail the features of VAT calculation when supplying goods to duty-free shops trade, it is also important to get rid of smuggling. It is necessary to conduct negotiations to improve the existing free trade agreements between Ukraine and the EU, including to settle the issue of the rules of origin of goods.

Arduino UNO based System to Monitor the Cooling Process of Hot Fluid

Abstract: Temperature is a crucial parameter used in various systems and industrial sectors, various sensors. In this work, the rate of change of energy of boiling water is monitored as it cools down to room temperature using Arduino UNO based system. The temperature readings are captured using the DS18B20 temperature sensor which are then processed using MATLAB to compute changes in energy using customized code based on Newton’s law of cooling.

BOJXONA TARTIB-TAOMILLARINI TAKOMILLASHTIRISH

The article analyzes the time and content of customs clearance of cargo vehicles by inspectors of customs posts. The study found that inspectors are forced to carry out procedures not provided for in the Customs Code, but imposed by other regulations, such as charging for the operation of roads in transit, fees for tinted windows, or fines for traffic violations. The legislation establishes the maximum time for crossing the border by transport, and the object of customs control is clearly defined, these are goods, customs payments, and offenses. But sometimes, less time is spent on the main work than additional. When the issue of congestion of the customs post is raised, the emphasis is on simplifying customs procedures, and the redistribution of unusual functions is omitted from the list of proposals. The price of the problem considered in the framework of this article is equivalent to the image of the customs, and the efforts of our country to liberalize international trade.

Seasonality of the Mesoscale Inverse Cascade as Inferred from Global Scale-Dependent Eddy Energy Observations

Abstract Oceanic mesoscale motions including eddies, meanders, fronts, and filaments comprise a dominant fraction of oceanic kinetic energy and contribute to the redistribution of tracers in the ocean such as heat, salt, and nutrients. This reservoir of mesoscale energy is regulated by the conversion of potential energy and transfers of kinetic energy across spatial scales. Whether and under what circumstances mesoscale turbulence precipitates forward or inverse cascades, and the rates of these cascades, remain difficult to directly observe and quantify despite their impacts on physical and biological processes. Here we use global observations to investigate the seasonality of surface kinetic energy and upper-ocean potential energy. We apply spatial filters to along-track satellite measurements of sea surface height to diagnose surface eddy kinetic energy across 60–300-km scales. A geographic and scale-dependent seasonal cycle appears throughout much of the midlatitudes, with eddy kinetic energy at scales less than 60 km peaking 1–4 months before that at 60–300-km scales. Spatial patterns in this lag align with geographic regions where an Argo-derived estimate of the conversion of potential to kinetic energy is seasonally varying. In midlatitudes, the conversion rate peaks 0–2 months prior to kinetic energy at scales less than 60 km. The consistent geographic patterns between the seasonality of potential energy conversion and kinetic energy across spatial scale provide observational evidence for the inverse cascade and demonstrate that some component of it is seasonally modulated. Implications for mesoscale parameterizations and numerical modeling are discussed. Significance Statement This study investigates the seasonality of upper-ocean potential and kinetic energy in the context of an inverse cascade, consisting of energy transfers to and through the mesoscale. Observations show a scale-dependent cycle in kinetic energy that coincides with temporal variability in mixed layer potential energy and progresses seasonally from smaller to larger scales. This pattern appears dominant over large regions of the ocean. Results are relevant to ocean and climate models, where a large fraction of ocean energy is often parameterized. A customizable code repository and dataset are provided to enable comparisons of model-based resolved and unresolved kinetic energy to observational equivalents. Implications result for a range of processes including mixed layer stratification and vertical structure of ocean currents.

Multivariate dynamic modeling for Bayesian forecasting of business revenue

AbstractForecasting enterprise‐wide revenue is critical to many companies and presents several challenges and opportunities for significant business impact. This case study is based on model developments to address these challenges for forecasting in a large‐scale retail company. Focused on multivariate revenue forecasting across collections of supermarkets and product categories, hierarchical dynamic models are natural: these are able to couple revenue streams in an integrated forecasting model, while allowing conditional decoupling to enable relevant and sensitive analysis together with scalable computation. Structured models exploit multi‐scale modeling to cascade information on price and promotion activities as predictors relevant across categories and groups of stores. With a context‐relevant focus on forecasting revenue 12 weeks ahead, the study highlights product categories that benefit from multi‐scale information, defines insights into when, how, and why multivariate models improve forecast accuracy, and shows how cross‐category dependencies can relate to promotion decisions in one category impacting others. Bayesian modeling developments underlying the case study are accessible in custom code for interested readers.

Methodology for testing languages for embedded avionics systems

In this article, we have analyzed six test languages. Four proprietary languages have been identified that are currently used in avionics for cyclic testing of embedded avionics systems at different levels of integration and maturity of the system under test. We use the Eclipse Modeling Framework with the Ecore specialized modeling language to formalize various concepts of interest. This will allow us to access a number of existing tools to create custom editors, validators, and code generators. Test engineers will have a rich environment to define their own test models based on the meta-model. We propose to abstract from existing proprietary implementation solutions and work at a common design level. For this, mature model design methods exist and can be used. The proposed approach is to share high-level test specifications and automatically maintain the entire code design and production chain.

Virtual Queuing Ration Distribution in Cloud Environment

Ration shops are one of the main food product supply centers of Government. has an insignificant amount of goods, theft of material, large waiting time in the ration store and they keep all records in big paper file. This project is execute to overcome the obstacle that exist in the current distribution system. Ration cards are replaced with the smart card in which all the required information (name, contact number, aadhar number) are saved. Once the materials are delivered to the shops by government, through the websites or SMS all customer are asked to collect the ration.The customer checks the availability of products through the website to choose products as per their card type. Then customer will receive OTP to confirm order. Then the controller checks the customer code and details which is stored in database. Once the authentication of the customer is done, then the collecting time will send through SMS. The exact amount of food grains is extracted immediately and as soon as the ration is dispensed email notification is sent to the customer’s mobile.

Abstract 5038: Applying reproducible genomic data science methods for the analysis of a rare tumor type

Abstract Background: The new and emerging discipline of data science demands reproducibility, which is vital in science and presents a significant challenge for high throughput genomics. To further complicate matters, large and complex projects require collaboration by multiple investigators examining and analyzing the massive data of multiple genomic modalities from different perspectives. Today, researchers are rarely able to reproduce published genomic studies for a variety of reasons, for example: i) differences between versions of software used, ii) lack of detail regarding software parameters, iii) lack of data access, and iv) source code not provided. Here we combine our data infrastructure approach with a molecular infrastructure and apply it to the exploration of a multimodality genomic analysis of a patient with a pulmonary pneumocytoma. Methods: Open source methods are utilized that include the SQLite database with R and python packages and custom code. Results: Our approach is able to generate a wide variety of plots and tables for the purposes of exploratory data analysis (EDA) and/or other user-specific analyses, such as finding differentially expressed genes (DEGs). In addition to traditional EDA plots, the R library RCircos is used to visualize multiple NGS studies (eg, 7) in single plot. Differential gene expression (DGE) analysis takes normalized RNA-based read count data and performs a statistical analysis, to find quantitative changes in expression levels between different experimental groups. A DGE analysis report is routinely generated. An abbreviated copy number variation (CNV) report derived from an ultra-low-pass whole genome (tumor/germline) NGS approach is also generated. A Python/Jupyter Notebook utilizing a library from scikit-learn is used to generate a clustergram plot. This approach is used as part of finding the optimal number of clusters for a K-Means analysis. RNA-seq data normalized across three sample types using DESeq2 were used in this example. Finally, advanced pathway analysis is performed for the identification of activated and deactivated molecular pathways. Conclusion: The next evolution in oncology research and cancer care are being driven by data science. In the field of genomic data science, accuracy and reproducibility remains a considerable challenge due to the sheer size, complexity, and dynamic nature of the experimental data plus relative inventiveness of the quantitative biology approaches. The accuracy and reproducibility challenge does not just block the path to new scientific discoveries, more importantly, it may lead to a scenario where critical findings used for medical decision making are found to be incorrect. Our approach has been developed to meet the unmet need of improving accuracy and reproducibility in genomic data science. Specific findings related to the rare pneumocytoma tumor will be presented. Citation Format: Li Ma, Erich Peterson, Mathew Steliga, Jason Muesse, Katy Marino, Konstantinos Arnaoutakis, Ikjae Shin, Donald J. Johann. Applying reproducible genomic data science methods for the analysis of a rare tumor type [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5038.

Reflections on the Overextension of the Extended Recovery Period for Customs Duties

In this article, the authors critically examine and compare the Netherlands approach to the application of article 103(2) of the Union Customs Code, which allows EU Member States to extend the recovery period for customs debts in relation to acts that could give rise to criminal court proceedings.

A Systematic Literature Review on Security Indicators for Open-Source Enterprise Resource Planning Software

Open-source enterprise resource planning (ERP) software has become a preferred alternative for modern organizations due to its affordable cost, availability and ease of access. Open-source software allows access to customizable code which in most instances may have security loop holes due to the nature of its releases. The study is motivated by need for accountability and security assurance by stakeholders and the need for justification of investments towards information security. The objective was to analyse security indicators for open-source resource planning software. Papers and journals published between 2017 and 2021 from IEEE, ACM, Springer, arXiv, Wiley online library and EBSCO were reviewed. Out of the publications generated through the Google search, 62 publications were selected by reading the title, abstract, introduction and full text. Results indicate un-updated software, full access rights, inadequate training, failure to comply, single authentication and unauthorized software as some of the factors that indicate open-source enterprise resource planning software security. In conclusion effectiveness of mitigation measures to address these factors shows security or insecurity. Notably, there is need to institute security control measures and metrics for the identified factors to help assess security posture of enterprises during ERP software implementation. We recommend the design of security a measurement framework and definition of a metrics suite for assessing open-source ERP software security.

A Computational Strategy for Code- and Mesh-Agnostic Nonlinear Global–Local Analysis

Global, coarse mesh and local, refined mesh modeling strategy is a common solution approach for domains spanning many orders in length scale. In this article, a nonintrusive computational strategy for iterative solution to the nonlinear behavior in the subdomains is proposed. To estimate the residual force on the interface connecting the subdomains with nonmatching discretizations, variational principles with an intermediate framework are proposed to assure satisfaction of virtual work principle in the subdomains and to assure displacement/traction compatibility at the interface. To map nodal force from one subdomain to the other, both global Lagrange multiplier (GLM) and local Lagrange multiplier (LLM) methods are discussed. Quasi-Newton iterative updates are used to correct displacements on the interface connecting the different subdomains until equilibrium is reached. A symmetric rank 1 update as well as the Broyden–Fletcher–Goldfarb–Shanno (BFGS) update are considered for accelerating the solution convergence. The developed method is suitable for the modular construction of submodels with nonmatching discretizations and even allows coupling between subdomains analyzed using different (commercial or custom) codes. The iterative global–local coupling strategy is validated on several examples, including an L-shaped domain with local nonlinearity and a rectangular plate with a propagating crack. Another example illustrating the coupling of domains independently analyzed using commercial finite element codes ANSYS and ABAQUS is next demonstrated. Finally, the method is demonstrated to analyze semiconductor chip assemblies where plastic ratcheting of the interconnect line causes passivation coating fracture.

Optimization of Synthetic Vocal Fold Models for Glottal Closure.

Synthetic, self-oscillating models of the human vocal folds are used to study the complex and inter-related flow, structure, and acoustical aspects of voice production. The vocal folds typically collide during each cycle, thereby creating a brief period of glottal closure that has important implications for flow, acoustic, and motion-related outcomes. Many previous synthetic models, however, have been limited by incomplete glottal closure during vibration. In this study, a low-fidelity, two-dimensional, multilayer finite element model of vocal fold flow-induced vibration was coupled with a custom genetic algorithm optimization code to determine geometric and material characteristics that would be expected to yield physiologically-realistic frequency and closed quotient values. The optimization process yielded computational models that vibrated with favorable frequency and closed quotient characteristics. A tradeoff was observed between frequency and closed quotient. A synthetic, self-oscillating vocal fold model with geometric and material properties informed by the simulation outcomes was fabricated and tested for onset pressure, oscillation frequency, and closed quotient. The synthetic model successfully vibrated at a realistic frequency and exhibited a nonzero closed quotient. The methodology described in this study provides potential direction for fabricating synthetic models using isotropic silicone materials that can be designed to vibrate with physiologically-realistic frequencies and closed quotient values. The results also show the potential for a low-fidelity model optimization approach to be used to tune synthetic vocal fold model characteristics for specific vibratory outcomes.

Focus on software, data acquisition, and instrumentation

Focus on software, data acquisition, and instrumentation

Enhancing coding skills with CloudStor SWAN

CloudStor SWAN (AARNet, 2022) is a research-focused web service for running analyses that is available to staff and students at many research institutes and Universities across Australia and New Zealand. In 2021, we used SWAN as a teaching tool in the master-level subject, Computational Genomics (COMP90016) at The University of Melbourne. This subject aims to teach students how to analyse large genomic datasets using best practices software tools, pipelines and student-written, custom code. &#x0D; &#x0D; Although CloudStor SWAN was not conceived as a teaching tool, we worked with their technical staff to tailor the service to our use case. This innovative use of existing research infrastructure allowed us to effectively transition the subject to remote learning. Students and staff could log in to the service using their existing University credentials, from anywhere in the world, without the use of a VPN. The ability to access the platform from a web browser allowed for a consistent computing environment for all students regardless of operating system, and without having to worry about software installations on local machines. This presented a significantly improved experience from the custom servers that had been used in the past.&#x0D; &#x0D; We used SWAN for weekly workshops during semester and for assessment in the form of assignments and an exam. It allowed us to format subject material in Jupyter notebooks where we could seamlessly integrate text, graphics and code. Additionally, assessed code questions can incorporate automatic marking and written submissions can be checked for plagiarism. SWAN also allowed us to introduce students to the UNIX command line, an important skillset that was not previously taught in the University of Melbourne Master of Science (Bioinformatics) program.&#x0D; &#x0D; From a student perspective, SWAN allowed for a practical skillset to be developed alongside theoretical knowledge from other aspects of the course. The platform was simple to learn and allowed students to focus on the subject content and the tasks asked of them, rather than on the interface. From a teacher’s perspective, having a unified platform allowed for a single set of clear instructions, improved troubleshooting and clearer management of tool versions and software dependencies. The use of Jupyter notebooks simplified lesson plans and assessments by integrating multiple elements into single documents. This element also made the lessons more easily sharable between colleagues and collaborators.&#x0D; &#x0D; Our integration of this technology into our tertiary teaching has served as a model for a similar use at a different Australian university. We hope to share the lessons learned from this subject, the advantages of using CloudStor SWAN in a teaching environment for both staff and students and provide some advice for others who may want to adapt it to fit their own teaching needs.&#x0D; Presentation link: https://youtu.be/8tutCO1hd9c&#x0D; References&#x0D; &#x0D; AARNet. (2022). CloudStor: Access, store, share and work with your data in one place. https://www.aarnet.edu.au/network-and-services/cloud-services/cloudstor