Application Code Research Articles

Systematic review on blockchain research for sustainability accounting applying methodology coding and text mining

Blockchain and other Distributed Ledger Technologies (DLTs) are often considered major improvements in the capability of certain areas in sustainability accounting research. As such, it is argued that blockchains could be used for validation, data management, transactions settlements and objective measurement for corporate sustainability indicators, such as Greenhouse Gas (GHG) emissions during production processes. Following a Systematic Literature Review (SLR) methodology in data collection and database formation, the current work provides an analysis of the existing literature consisting of 59 contributions on blockchain applications in sustainability accounting. Several analysis steps containing bibliometric analyses were performed and presented, including novel coding of methodologies and industrial applications. Additionally, text mining analysis of the meta-data of contributions was conducted for the purpose of topic generation and retrieval of comparative insights. Results provide insights into the mapping of baseline technologies, regulatory environment, and practical factors outlined by previous contributions that influence the applications of blockchains for this cause. Future research areas include blockchains paired with other future-proof technologies, such as digital accounting tools (e.g. XBRL) or hardware IoT technologies in smart factories, to aid in the development of new pipelines of measurable and traceable sustainability information.

Model-driven architecture: generating models from Symfony framework

The web application development industry is constantly growing due to the extensive use of web applications in different devices, most of them run on Android, iOS, and Windows Phone operating systems. However, the development of applications designed for platforms requires more concerns such as code efficiency, interaction with devices, and speed of market penetration. The model-driven approach (MDA) combined with unified modeling language (UML) could provide abstraction and automation for software developers. This paper presents an MDA approach for the development of web applications based on the Symfony framework, UML modeling, model transformation, and then automatic code generation in order to facilitate and accelerate the development of web applications. The first step of this work is to establish the metamodel of Symfony framework and the metamodel of UML class diagram. In the second step, the various transformation rules between the source and target metamodels are first defined. Atlas transformation language (ATL) implements these rules. The result of this transformation is a platform-specific model (PSM) represented by Ecore language. The generated PSM model represents the input model of model-to-code (M2C) transformation for generating the code of web applications. To validate this work, we have implemented a case study.

Evaluating access to brentuximab in elderly patients with Hodgkin lymphoma.

e18663 Background: Despite the high survival associated with Hodgkin lymphoma (HL), established disparities exist both in survival for Black and Hispanic patients and their access to consolidative treatments like radiotherapy as demonstrated using large, population-based databases. Elderly patients with HL face inferior survival compared to younger patients. Brentuximab is an approved second line therapy for those patients with refractory/relapsed HL. We examined whether there were inequities in receipt of treatment among those diagnosed with HL in a contemporary cohort receiving frontline doxorubicin, bleomycin, vinblastine, and dacarbazine (ABVD), allowing for evaluation of targeted therapy. Methods: Data from Surveillance Epidemiology and End-Results (SEER) linked to Medicare claims were used to identify individuals diagnosed with HL from 2008 to 2017 who received frontline treatment with ABVD using applicable Healthcare Common Procedure Coding System codes. We examined differences in associations with receipt of brentuximab following ABVD within two years of diagnosis. Descriptive statistics were used to characterize the sample. We ran univariable and multivariable logistic regression models (producing adjusted odds ratios, aOR and 95% confidence intervals, CI) predicting treatment with brentuximab. Multivariable models were adjusted for age at diagnosis, sex, race/ethnicity, stage, insurance at diagnosis, and geographic location. Results: A total of 2,651 people diagnosed with HL were identified, 2,007 (76%) of which survived two years and 1,475 (56%) were still alive at last follow-up in 2019. Mean age at diagnosis was 69 years (SD: 12.4), most were men (N = 1,457, 55%), non-Hispanic White (N = 2,050, 77%), Hispanic (N = 291, 11%), or non-Hispanic Black (N = 220, 8%), diagnosed with stage I or II disease (N = 1,591, 60%), and received radiotherapy (N = 663, 23%) or brentuximab (N = 181, 7%) within two years of diagnosis. On univariable analysis, race and ethnicity did not have a statistically significant association with receipt of brentuximab as adjuvant treatment within two years of diagnosis. On multivariable analysis, individuals without insurance at diagnosis (aOR 1.54; 95% CI 1.02, 2.30) or those diagnosed with stage III or IV disease (aOR 2.04; 95% CI 1.04, 2.98) were more likely to receive brentuximab as adjuvant treatment within two years of diagnosis, after adjusting for the variables described above. Conclusions: Although we cannot definitively say that receipt of brentuximab within two years of diagnosis following ABVD is due to relapse, we posit that this can be used as a proxy for relapse. Our analysis did not demonstrate that race and ethnicity rose to traditional levels of statistical significance regarding associations with decreased odds of receiving brentuximab. In multivariable analysis, patients without insurance or diagnosed with stage III or IV disease were more likely to receive brentuximab.

Penerapan Kode Etik Jurnalistik Portal Fajar.Co.id dalam Pemberitaan COVID-19

This research is entitled the implementation of the Journalistic Code of Ethics (KEJ) on the Fajar.co.id portal in reporting on COVID-19. By using descriptive qualitative research type. Data collection methods are observation, interviews, and documentation. Interviews and documentation were conducted with Fajar.co.id editors, Fajar.co.id reporters Data analysis was carried out in three stages, namely data reduction, data presentation, and drawing conclusions. The results of this study indicate that Fajar.co.id journalists in reporting on Covid-19 are appropriate and apply a journalistic code of ethics. This is evidenced by the writing of the identity of the victim of the Covid-19 virus which was published with the permission of the patient himself. The researcher concludes that the implementation of the Journalistic Code of Ethics has objectively been carried out as it should be for Fajar.co.id media journalists, even though it is not optimal, but basically journalists are required to always carry out the demands of the Journalistic Code of Ethics, especially Article 2. This is evidenced by an attitude that has fulfilled the elements -Elements of the Journalistic Code of Ethics especially those contained in article 2. The Fajar.co.id leadership should also conduct periodic evaluations of journalists deployed in the regions. This is done to strengthen the journalists of the Fajar.co.id portal in carrying out the journalistic profession based on the applicable journalistic code of ethics

Code and Data for Theory and application of an improved species richness estimator

Code and Data for Theory and application of an improved species richness estimator

Online bias-aware disease module mining with ROBUST-Web.

We present ROBUST-Web which implements our recently presented ROBUST disease module mining algorithm in a user-friendly web application. ROBUST-Web features seamless downstream disease module exploration via integrated gene set enrichment analysis, tissue expression annotation, and visualization of drug-protein and disease-gene links. Moreover, ROBUST-Web includes bias-aware edge costs for the underlying Steiner tree model as a new algorithmic feature, which allow to correct for study bias in protein-protein interaction networks and further improves the robustness of the computed modules. Web application: https://robust-web.net. Source code of web application and Python package with new bias-aware edge costs: https://github.com/bionetslab/robust-web, https://github.com/bionetslab/robust_bias_aware.

Structural material nuclear data basic research

The nuclear data evaluation for deuteron-induced reactions andα-particle emission by neutron interactions is addressed within “Nuclear data for fusion technology, from basic research to full-scale applications.” The status and open questions related to these subjects in the area of nuclear data for fusion technology, specifically for the nuclear design of the ITER fusion device, the European DEMO fusion reactor, and the IFMIF-DONES Irradiation Facility, are briefly reviewed. A firm demand for accurate cross-sections of reactions induced by neutrons and deuterons exists, in this respect, within a more enlarged energy range up to 50 MeV than for fission applications. The current requirements are closely met by the TENDL Evaluated Nuclear Data Library, settled using the TALYS nuclear model code, which is one of the most widely used codes in basic research and applications including nuclear fusion technology. However, further improvement of this data library has recently been suggested, while, with respect to fission applications, not only the aforementioned energy range but also the diversity of nuclear data for fusion technologies is plainly stretched. Consequently, the progress of nuclear data activities conducted more recently on deuteron-induced reactions andα-emission by neutron interactions, throughout the European Fusion Program and subsequent to previous achievements within F4E and EUROfusion programs, is wholly summarized.

Mining Server HTTP Endpoints from Commented-Out Client-Side Code of Web Applications

In this paper we consider the problem of detecting information about HTTP endpoints on the server by extracting requests from the commented-out client code of web applications. The algorithm that extracts commented-out requests is proposed and implemented. The developed module was integrated into a static analyzer. An experiment was conducted on more than a million web pages belonging to more than 50 thousand web applications from the Alexa Top 1 million list. Requests unique to the commented code were selected for each page. Then a check was made for the existence of an associated endpoint on the server for each of them. According to the results of the experiment, it was found that commented-out requests actually occur in real web applications, they were detected in ~2.78 % of all explored sites. In addition, ~40 % of them were marked as "live", that is having an endpoint on the server. Also, a cursory analysis has shown that such endpoints often turn out to be vulnerable. The module can be used as part of a web security scanner to obtain more complete information about the server side of a web application using the black box method.

Studying the characteristics of SQL-related development tasks: An empirical study

A key function of a software system is its ability to facilitate the manipulation of data, which is often implemented using a flavour of the Structured Query Language (SQL). To develop the data operations of software (i.e, creating, retrieving, updating, and deleting data), developers are required to excel in writing and combining both SQL and application code. The problem is that writing SQL code in itself is already challenging (e.g., SQL anti-patterns are commonplace) and combining SQL with application code (i.e., for SQL development tasks) is even more demanding. Meanwhile, we have little empirical understanding regarding the characteristics of SQL development tasks. Do SQL development tasks typically need more code changes? Do they typically have a longer time-to-completion? Answers to such questions would prepare the community for the potential challenges associated with such tasks. Our results obtained from 20 Apache projects reveal that SQL development tasks have a significantly longer time-to-completion than SQL-unrelated tasks and require significantly more code changes. Through our qualitative analyses, we observe that SQL development tasks require more spread out changes, effort in reviews and documentation. Our results also corroborate previous research highlighting the prevalence of SQL anti-patterns. The software engineering community should make provision for the peculiarities of SQL coding, in the delivery of safe and secure interactive software.

Seismic performance assessment and retrofitting proposal for a historic masonry school building (Bursa, Türkiye)

The current paper presents all stages of a masonry building restoration including seismic performance assessment of the restored building, and a seismic retrofitting proposal accordingly. All these practices were carried out on a historical school building with timber slabs constructed in 1912. The study was composed of six stages: i. Historical research to identify all previous interventions in the building, ii. On-site examinations to determine the geometrical and structural properties of the building, iii. Laboratory tests to identify original material properties and determine repair materials, iv. Restoration decision and implementation of the restoration, v. Numerical analyses to assess the seismic performance of the restored building, and vi. Retrofitting proposal. The primary aim of this study is to present a comprehensive guide for seismic performance assessment and retrofitting approaches for similar buildings. The story shear forces and inter-story drifts of the examined building were obtained by linear and nonlinear analyses and compared with the limit values given in the applicable seismic code; accordingly, the seismic performance of the building was assessed. On the other hand, vertical and lateral bending collapse mechanisms were determined by local analyses. Based on the obtained findings, the building was found to have sufficient displacement capacity; however, failed in shear. Additionally, we believe that the presented restoration practices and seismic performance assessment aiming the structural integrity of the historic building will contribute to the literature.

Fast correlation function calculator

Context. A novel high-performance exact pair-counting toolkit called fast correlation function calculator (FCFC) is presented. Aims. With the rapid growth of modern cosmological datasets, the evaluation of correlation functions with observational and simulation catalogues has become a challenge. High-efficiency pair-counting codes are thus in great demand. Methods. We introduce different data structures and algorithms that can be used for pair-counting problems, and perform comprehensive benchmarks to identify the most efficient algorithms for real-world cosmological applications. We then describe the three levels of parallelisms used by FCFC, SIMD, OpenMP, and MPI, and run extensive tests to investigate the scalabilities. Finally, we compare the efficiency of FCFC with alternative pair-counting codes. Results. The data structures and histogram update algorithms implemented in FCFC are shown to outperform alternative methods. FCFC does not benefit greatly from SIMD because the bottleneck of our histogram update algorithm is mainly cache latency. Nevertheless, the efficiency of FCFC scales well with the numbers of OpenMP threads and MPI processes, even though speedups may be degraded with over a few thousand threads in total. FCFC is found to be faster than most (if not all) other public pair-counting codes for modern cosmological pair-counting applications.

MP48-08 30-DAY, 90-DAY, AND 1-YEAR COMPLICATIONS FOLLOWING MAJOR UROLOGIC SURGERY: AN ANALYSIS OF MORBIDITY AND MORTALITY USING A LARGE MULTI-CENTER RESEARCH NETWORK

You have accessJournal of UrologyCME1 Apr 2023MP48-08 30-DAY, 90-DAY, AND 1-YEAR COMPLICATIONS FOLLOWING MAJOR UROLOGIC SURGERY: AN ANALYSIS OF MORBIDITY AND MORTALITY USING A LARGE MULTI-CENTER RESEARCH NETWORK Tyler Garman, Andrew Gabrielson, Una Choi, Gabriella Ewachiw, and Andrew Cohen Tyler GarmanTyler Garman More articles by this author , Andrew GabrielsonAndrew Gabrielson More articles by this author , Una ChoiUna Choi More articles by this author , Gabriella EwachiwGabriella Ewachiw More articles by this author , and Andrew CohenAndrew Cohen More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003294.08AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Many studies evaluating complication rates following urologic procedures focus on a narrow subset of procedures, include the experience of select, high volume surgeons, or have variable follow-up. We systematically compare national complication rates following an array of urologic surgeries by numerous providers, which can serve as an important benchmarking tool in the pursuit of quality care. METHODS: We performed a retrospective cohort study using the TriNetX research network from 2006-2022, which includes claims data for 110 million patients. Procedure type, age at index procedure, sex, race, and complications were queried using applicable CPT and ICD10 codes. Rates of all-cause (Clavien I-V), life-threatening (Clavien IV), and mortality (Clavien V) complications were evaluated using 30-day, 90-day, and 1-year timepoints from the index operation. Clavien IV complications included: sepsis, acute renal failure requiring dialysis, PE, reintubation, myocardial infarction, cardiac arrest, and re-operation. RESULTS: A total of 484,099 urologic procedures were included. Age, sex, race, and 30-day, 90-day, and 1-year complication rates stratified by procedure are listed in Table 1. All-cause complication rates ranged from 2-37%, 10-48%, and 17-60% for 30-day, 90-day, and 1-year time points, respectively. Rates of Clavien IV complications were less than or equal to 10% at all timepoints for most procedures with notable exceptions being total nephrectomy (14-23%), cystectomy (22-36%), and RPLND (14-22%). The 1-year mortality rate for most procedures was low. Exceptions include cystectomy (12%), TURBT (8%), RPLND (6%), and total nephrectomy (5%). Procedures with the lowest rates of 30-day, 90-day, and 1-year complications included those within reconstructive urology including AUS placement, sling procedures for incontinence, colporrhaphy, IPP placement and urethroplasty. 30-day, 90-day, and 1-year mortality rates following these procedures mirrored that of the general population not undergoing surgery. CONCLUSIONS: This analysis establishes benchmark complication rates up to 1-year post-op for many urologic procedures using a national database, which can aid hospital systems in identifying deficiencies in quality care. Source of Funding: NA © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e657 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Tyler Garman More articles by this author Andrew Gabrielson More articles by this author Una Choi More articles by this author Gabriella Ewachiw More articles by this author Andrew Cohen More articles by this author Expand All Advertisement PDF downloadLoading ...

MP78-02 CRITICALLY EVALUATING THE ROLE FOR POSTOPERATIVE ANTIBIOTICS IN PATIENTS UNDERGOING URETHROPLASTY WITH BUCCAL MUCOSA GRAFT: A CLAIMS DATABASE ANALYSIS

You have accessJournal of UrologyCME1 Apr 2023MP78-02 CRITICALLY EVALUATING THE ROLE FOR POSTOPERATIVE ANTIBIOTICS IN PATIENTS UNDERGOING URETHROPLASTY WITH BUCCAL MUCOSA GRAFT: A CLAIMS DATABASE ANALYSIS Logan Galansky, Andrew Gabrielson, and Andrew Cohen Logan GalanskyLogan Galansky More articles by this author , Andrew GabrielsonAndrew Gabrielson More articles by this author , and Andrew CohenAndrew Cohen More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003355.02AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Although many consider administration of antibiotics after urethroplasty dogma, there is lack of evidence regarding the benefit for postoperative antibiotics. We compare perioperative and post-surgical outcomes among patients undergoing first-time urethroplasty with use of buccal mucosa graft (BMG) who receive postoperative antibiotics versus those who do not. METHODS: A retrospective cohort study was conducted using TriNetX research network, a claims database of 110 million patient encounters between 2008-2022. Using applicable CPT, ICD10, and LOINC codes, patients>18 years old undergoing primary urethroplasty with use of BMG, who received perioperative intravenous antibiotics (IVAb), and either received an outpatient prescription for antibiotics between postoperative day 0-30 or did not were queried. Patients with positive pre-operative urine culture or urinary tract infection (UTI) within 30 days prior to urethroplasty were excluded. Surgical outcomes included 5-year revision rates and revision-free survival. Safety outcomes included new UTI within 30 days, surgical site infection (SSI) or clostridium difficile infection within 90 days of the procedure. RESULTS: We identified 645 patients (505 [78%] antibiotic cohort, 140 [22%] no-antibiotic cohort) that met inclusion criteria. There was no difference in mean age at time of urethroplasty, presence of suprapubic tube, or pre-operative rates of common medical comorbidities between cohorts (Table 1). There was no difference in type of IVAb between groups. There was no difference in 5-year rates and revision-free survival for all-cause revision (18.2% vs. 15.7%, log-rank p=0.15), endoscopic revision (10.3% vs. 12.1%, log-rank p=0.94), or surgical revision (11.1% vs. 8.6%, log-rank p=0.17) between groups. Rates of UTI within 30 days, SSI within 90 days, and clostridium difficile infection within 90 days were similar between groups. CONCLUSIONS: In this large retrospective cohort study of patients undergoing urethroplasty with use of BMG, we observed no significant benefit from the use of postoperative antibiotics on revision rates or infectious complications. Limitations of this analysis include inability to delineate between continuous versus short course prophylaxis. Source of Funding: NA © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e1131 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Logan Galansky More articles by this author Andrew Gabrielson More articles by this author Andrew Cohen More articles by this author Expand All Advertisement PDF downloadLoading ...

AutoMPI: Automated Multiple Perspective Attack Investigation With Semantics Aware Execution Partitioning

Multiple Perspective attack Investigation ( <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">MPI</small> ) is a technique to partition application dependencies based on high-level semantics. It facilitates provenance analysis by generating succinct causal graphs. It involves an annotation process that identifies variables and data structures corresponding to the partitions and the communication channels between them. Though the amount of annotation is small, this process requires a detailed understanding of the source code. In this work, autoMPI, we extend the capability of <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">MPI</small> by automating the identifying annotation requirements. We leverage a hybrid analysis approach, performing a differential analysis based on crafted inputs. Static analysis is conducted to identify the annotation sites within the application code afterward automatically. Our evaluation shows the proposed approach can significantly facilitate the annotation process. It correctly identifies all required annotation sites within an average 16 seconds analysis time for the majority of analyzed programs with average precision and recall 72.5% and 100%, respectively.

Enabling unstructured-mesh computation on massively tiled AI processors: An example of accelerating in silico cardiac simulation

A new trend in processor architecture design is the packaging of thousands of small processor cores into a single device, where there is no device-level shared memory but each core has its own local memory. Thus, both the work and data of an application code need to be carefully distributed among the small cores, also termed as tiles. In this paper, we investigate how numerical computations that involve unstructured meshes can be efficiently parallelized and executed on a massively tiled architecture. Graphcore IPUs are chosen as the target hardware platform, to which we port an existing monodomain solver that simulates cardiac electrophysiology over realistic 3D irregular heart geometries. There are two computational kernels in this simulator, where a 3D diffusion equation is discretized over an unstructured mesh and numerically approximated by repeatedly executing sparse matrix-vector multiplications (SpMVs), whereas an individual system of ordinary differential equations (ODEs) is explicitly integrated per mesh cell. We demonstrate how a new style of programming that uses Poplar/C++ can be used to port these commonly encountered computational tasks to Graphcore IPUs. In particular, we describe a per-tile data structure that is adapted to facilitate the inter-tile data exchange needed for parallelizing the SpMVs. We also study the achievable performance of the ODE solver that heavily depends on special mathematical functions, as well as their accuracy on Graphcore IPUs. Moreover, topics related to using multiple IPUs and performance analysis are addressed. In addition to demonstrating an impressive level of performance that can be achieved by IPUs for monodomain simulation, we also provide a discussion on the generic theme of parallelizing and executing unstructured-mesh multiphysics computations on massively tiled hardware.

An update on the latest and most relevant improvements achieved in the European helium-cooled ceramic breeder TBM design

The European TBM (Test Blanket Module) program under development will test two alternative concepts for tritium generation and extraction in ITER: a helium cooled / ceramic pebble breeder concept and a water cooled / lithium lead breeder concept.The former implements Advanced Ceramic Breeder pebbles that act as tritium breeding material, and Beryllium pebbles as neutron multiplier. A Reduced Activation Ferritic Martensitic steel, the EUROFER-97 (X10CrWVTa9-1), is used as structural material and pressurized Helium technology is implemented for efficient heat extraction (300-500°C, 8 MPa).The design of the TBM box involves challenges that must be tackled with a holistic approach to simultaneously consider a variety of aspects. Some of these challenges include: the thermal performance and the structural integrity of the TBM under ITER normal operations and accidental conditions, the implementation of pressurized equipment regulation(s), the convergence with manufacturing activities being developed in parallel and the high congestion in the reduced TBM volume –especially when considering instrumentation integration– without affecting too much the tritium breeding capability. It is also key to develop advanced methodologies based on design by analysis to virtually test alternative design solutions in an agile manner. These should be linked to the applicable nuclear design code (RCC-MRx) to consolidate design choices. In this way, a traceable evolution of the TBM design process can be built where alternatives are tested, compared and either discarded or selected in a consistent and comprehensive framework.This paper presents an overview of the very significant progress achieved in the design of the helium cooled concept TBM over the last two years, a period that corresponds to the first steps of the preliminary design phase towards the Preliminary Design Review (PDR) gate. This includes a significant change in the design of the back manifold area and the connection with the rest of the TBM-Set that solves long-standing historical problems inherited from pre-conceptual design stage. An update on the latest and most relevant methodological developments achieved is also provided in this paper, since these have been key to progress with the design evolutions in a sound and traceable manner. To end, the paper also presents some examples of the instrumentation definition and its complex integration within and outside the TBM box.

Voicify Your UI

Nowadays, voice assistants help users complete tasks on the smartphone with voice commands, replacing traditional touchscreen interactions when such interactions are inhibited. However, the usability of those tools remains moderate due to the problems in understanding rich language variations in human commands, along with efficiency and comprehensibility issues. Therefore, we introduce Voicify, an Android virtual assistant that allows users to interact with on-screen elements in mobile apps through voice commands. Using a novel deep learning command parser, Voicify interprets human verbal input and performs matching with UI elements. In addition, the tool can directly open a specific feature from installed applications by fetching application code information to explore the set of in-app components. Our command parser achieved 90% accuracy on the human command dataset. Furthermore, the direct feature invocation module achieves better feature coverage in comparison to Google Assistant. The user study demonstrates the usefulness of Voicify in real-world scenarios.

Towards the development of energy sharing methodology between different buildings for high efficient neighborhood design

Devising methods to recover waste heat and to share it within a neighborhood can lower the energy footprint of this neighborhood and reduce its dependence on the utility grids. This paper presents a novel methodology for capturing waste energy from individual buildings and sharing the recovered energy with an entire neighborhood. A survey of the current state of research on energy sharing is presented. A mixed-use neighborhood consisting of retail, residential, and greenhouse buildings is modeled to develop a holistic design of energy sharing strategy. Neighborhood-level waste heat recovery and distribution network is modeled in the EnergyPlus-DesignBuilder co-simulation platform. The energy sharing methodology is applied to different neighborhood configurations and neighborhood densities. The results show that with the application of energy sharing methodology integrated with energy efficient design and on-site solar energy, a net reduction of 74% energy in the mixed-use neighborhood is achieved compared to a design complying with the minimum requirement of the applicable energy codes. Similarly, a net 90.46% reduction in greenhouse gas (GHG) emissions is realized by energy sharing and on-site carbon capturing using neighborhood greenhouse.

Theoretical Calculations of Excitation Function of Cobalt and Manganese Isotopes using Empire Nuclear Reaction Code for Medical Applications

Theoretical Calculations of Excitation Function of Cobalt and Manganese Isotopes using Empire Nuclear Reaction Code for Medical Applications

FEATURES OF MULTIPLATFORM APPLICATION DEVELOPMENT ON KOTLIN

A study of the methodology of developing multi-platform applications using the Kotlin programming language was conducted. The method of developing a multi-platform application for Windows, Android, macOS and Linux operating systems is presented, which allows you to create musical melodies in a new format. The principles of declarative programming and frameworks for multi-platform development are studied. For the software implementation of individual native applications, native solutions have been chosen. This solution is facilitated by the use of Kotlin Multiplatform and Compose Multiplatform frameworks. Kotlin Multiplatform allows you to create a universal logic code of a multiplatform application, in combination with the Compose Multiplatform UI framework. Using such a combination makes it possible to write a single logic code and application interface for several platforms at the same time, which helps to save time and avoid a significant number of errors. The MVI architectural pattern is described, which best fits the declarative style of the Compose Multiplatform framework. The Dependency Injection design pattern is considered, as well as other tools for designing multiplatform applications, such as: the Kotlin Coroutines library to support asynchrony and parallel computing in Kotlin, the Gradle Kotlin DSL project assembly system, the Decompose library, and the MVIKotlin framework. A methodology for developing the architecture of Android application components is proposed. The modular structure of the project architecture is divided into two parts: the common module, which contains the main logic of the application, as well as platform implementations of components, and platform modules that perform initialization and launch of the application on a certain platform. Dependency implementation is used to establish access to repositories from application business logic components. The logic of implementing dependencies is described in Koin module files. A methodology is proposed that summarizes the methodology of developing multi-platform applications in the Kotlin programming language for developing user interfaces for several platforms.