File Exchange Research Articles

Curating models from BioModels: Developing a workflow for creating OMEX files.

The reproducibility of computational biology models can be greatly facilitated by widely adopted standards and public repositories. We examined 50 models from the BioModels Database and attempted to validate the original curation and correct some of them if necessary. For each model, we reproduced these published results using Tellurium. Once reproduced we manually created a new set of files, with the model information stored by the Systems Biology Markup Language (SBML), and simulation instructions stored by the Simulation Experiment Description Markup Language (SED-ML), and everything included in an Open Modeling EXchange (OMEX) file, which could be used with a variety of simulators to reproduce the same results. On the one hand, the reproducibility procedure of 50 models developed a manual workflow that we would use to build an automatic platform to help users more easily curate and verify models in the future. On the other hand, these exercises allowed us to find the limitations and possible enhancement of the current curation and tooling to verify and curate models.

Characterization of the precision of PPP solutions as a function of latitude and session length

Abstract This study investigates the impact of observation session duration and station latitude on the precision of Precise Point Positioning (PPP). Global Positioning System-only Receiver Independent Exchange files from 516 continuous stations spanning latitudes from 90°N to 90°S across the Americas (30°–130°W) were binned into sessions of 1, 2, 3, 4, 6, and 12 h and processed using the GPSPACE PPP software. These sub-daily solutions, along with the original 24 h ones, were compared against a reference coordinate derived from an extended linear trajectory model for each station. Analysis of the results, considering both accuracy and precision, was conducted across the entire latitude range of the study. We found that the precision of a PPP solution approximately follows a power-law relationship with observation duration. Parameters for these power-law relationships were determined for all latitude ranges that allow users to predict a result’s uncertainty as a function of session length. Findings indicate that longer observation sessions lead to reduced positioning errors, with vertical scatter decreasing with increasing latitude. Since all these stations are characterized by good to excellent sky view, our power-law rule-of-thumb provides a lower bound on the occupation time needed to achieve target positioning precision at locations with poorer sky visibility.

Gdcov2sinex: a Python conversion tool from GipsyX’s gdcov file to SINEX file

The Solution INdependent EXchange (SINEX) file format, an international standard for the exchange of information, is essential in the Global Navigation Satellite System (GNSS) processing strategies that integrate different software applications. GNSS data processing using Jet Propulsion Laboratory’s (JPL) GipsyX software, which employs the Precise Point Positioning (PPP) technique, generates positions and covariance matrices in gdcov files, a GipsyX file format specific for storing this information. GipsyX software provides a tool, named mkDailySinex.py, to convert from gdcov file to SINEX file, but it is designed specifically for creating daily JPL SINEX files and does not function properly for non-JPL GipsyX users. I have developed a Python 3 program, named gdcov2sinex.py, which solves this problem, enabling any user to perform the SINEX conversion and, therefore, apply the processing strategies that integrate GipsyX with other software, such as GAMIT/GLOBK. The new python tool presented herein takes advantage of the capabilities of mkDailySinex.py and provides all its default options, but also expands the number of selectable options, which can be useful to the user. The source code, user manual, and a sample dataset of gdcov2sinex.py are provided as electronic supplementary material of this paper.

Lipschitz energy functional for anisotropic diffusion applications

Image denoising remains a key research problem because of its potential role as a pre-processing component in image processing, computer vision, and machine learning tasks. Of the available approaches for image denoising, those inspired by anisotropic diffusion processes have been a center of discussion for decades. Despite the efforts and promising results achieved by diffusion-inspired denoising methods, we noted insufficient attention on the design of energy functionals for anisotropic diffusion equations. Most researchers consider heuristic approaches to design diffusivity functionals, a practice that cannot provide mathematical explanations on why their approaches work. The current research presents a strictly convex and Lipschitz energy functional that guarantees a unique solution for an evolutionary process. Based on this functional, we derive an anisotropic diffusion equation for image denoising applications. Experimental results show that an algorithm corresponding to the proposed equation is computationally efficient, and generates informative and visually appealing images with competitive values of peak signal-to-noise ratio and structural similarity. Guided by the compelling properties of our energy functional, we provide an additional insight to describe quality of the results. Implementation codes and test datasets of the proposed approach are publicly accessible at the MATLAB File Exchange (https://www.mathworks.com/matlabcentral/fileexchange/160108-lipschitz-diffusion-inspired-energy-functional).

Large file encryption in a reduced-round permutation-based AES file management system

In the rapid evolving digital landscape, the imperative to ensure data security has never been more crucial. This paper addresses the pressing challenges in data security by introducing a file encryption management system, leveraging a modified advanced encryption standard (AES) algorithm with reduced round iterations and bit permutation. This system aims to comprehensively secure various file types, providing a dependable solution for file exchange. Our findings reveal substantial improvements in both encryption and decryption processes using the reduced-round permutation-based AES (RRPBA). The adapted algorithm demonstrates a significant 38.8% acceleration in encryption time and a remarkable 44.86% improvement in decryption time, positioning it as a pivotal component for efficient file operations within the management system. Moreover, the throughput assessments showcase a remarkable 33.73% improvement in encryption and 23.72% in decryption, outperforming the original AES, emphasizing the algorithm's superior computational effectiveness, signaling positive implications for future high-performance applications. In conclusion, the study not only addresses critical security challenges but also presents a viable solution with tangible speed advantages for file encryption and decryption processes within digital file management systems.

Parameters identification and application of composite plate reinforcement mesh based on DXF data

Abstract This paper presents an algorithm for identifying the process parameters of a laminated plate reinforcement mesh. To accommodate the actual production needs, the computer software of the production line is employed for the identification of parameters and data processing of the DXF steel mesh file. In this context, a C++ programming algorithm is utilized for the identification of the parameters of the imported DXF file, as per the production line’s processing requirements. DXF is an AutoCAD vector graphics exchange file that is available in two storage formats: ASCII format and binary format. The ASCII format is easily readable and therefore, DXF is widely used, with most CAD software capable of reading or outputting DXF files. This paper initially scrutinizes the structural attributes of DXF files, normalizes the design standard of graphics files, and then reads the coordinates of each point of the POLYLINE entity. A parameter identification algorithm is devised to address the issue of steel bar bending in drawings, with the program designed to verify its accuracy.

College Federation

Abstract: The College Federation app bridges the gap between colleges and students through web and mobile access. It caters to faculty and students by streamlining communication (announcements, etc.), resource sharing, attendance tracking, and file exchange. This one-stop shop aims to both improve education and compete with social media. unlike social media, College Federation prioritizes academics. It omits student-to-student chat, profiles, and updates to minimize distractions. The focus is clear: enhance communication between faculty and students in a focused environment. Recognizing variable connectivity, the app even sends SMS alerts for offline students. by fostering academic engagement and providing essential college features, College Federation strives to be the go-to platform for learning, reducing reliance on mainstream social media for crucial updates.

A Telegrapher’s equations-based implicit finite difference solution for fault location with current transformer saturation

This paper introduces a fault location method based on time analysis, utilizing synchronized data collected from both ends of the faulted line. The data is obtained either from Common Format for Transient Data Exchange (COMTRADE) files or Sampled Measured Value (SMV) of the IEC-61850 protocol. The method proposed in this study employs the implicit finite difference solution to the Telegrapher’s equations. In certain fault scenarios, such as when one or both transformers experience saturation, a narrow time window of data can be utilized to accurately pinpoint the fault location. The implicit solution method is unconditionally stable and therefore decouples the choice of the line discretization step from the sampling time interval, which is commonly required to maintain numerical stability of the explicit strategies for fault location. Furthermore, the numerical stability of the implicit process allows for devising a systematic search procedure that improves the accuracy of the calculated fault location, regardless of the transmission line length. By conducting numerical comparisons with an explicit time-domain fault locator and recent frequency-domain algorithms, the superiority of the proposed approach becomes evident. The results highlight the significant improvements achieved through the utilization of this method. Specifically, the results demonstrate that Telegrapher’s Equations implicit finite difference solution maintains accuracy under current transformer saturation, as it can locate the fault using data from a brief interval where the current transformer is not saturated.

Development of a Coupled Method of Finite Volume and Particle Methods Based on Peer-to-Peer File Exchange

Development of a Coupled Method of Finite Volume and Particle Methods Based on Peer-to-Peer File Exchange

TL-SDA: A designed toolkit for the deconvolution analysis of thermoluminescence glow curves

In the present study, a graphical user interface (GUI) toolkit has been developed to analyze the thermoluminescence (TL) glow-curve and evaluate the trapping parameters using TL expression based on the one-trap one-recombination model. The basic idea of the deconvolution analysis in the developed toolkit is based on performing a sequence of successful fits, where the information provided by each fit is used by the next fit until the deconvolution of the entire glow curve approaches an optimum solution. The starting values and ranges of the fitting parameters can be controlled and adjusted to improve the deconvolution analysis of complex structure glow curves. The designed toolkit is also supported by the background-subtraction option to improve the analysis at low irradiation dose levels. The expanded uncertainty at the 95 % confidence level of the fitted trapping parameters is also provided. All the evaluations performed using the designed toolkit are allowed to be extracted into an Excel spreadsheet. The TL-SDA toolkit can be freely downloaded from: TLSDA_v1 - File Exchange - MATLAB Central (https://www.mathworks.com/matlabcentral/fileexchange/154136-tlsda_v1-1)

La comercialización de internet en España y su impacto en la comunicación entre 1980 y 2000

Although the first Internet experiences in Spain are related to e-mail and the use of some functionalities, such as file exchange or access to institutional directories, the popularization of the Internet coincides in time with the arrival of the Web in the second half of the last century. The media professionals and technology companies that lived through this historical moment witnessed the transformation of communication and of the citizens’ model for relating to their environment and the world as a whole. This paper analyzes the arrival of the Internet in Spain and its evolution until it became a marketable product, turning it into a global and omnipresent means of communication, as it is today.

B-FEF-blockchain based framework to exchange files

Blockchain-based systems have proven to be efficient and capable of resolving the majority of security issues relating to exchange transactions in the system. As a result, it became necessary to move away from the problems of the existence of third parties in the system with an important level of trust; a decentralized method of transferring digital files was created. In this paper we present B-FEF-Blockchain Based Framework to Exchange Files. This solution uses IPFS and the Ethereum blockchain. The suggested method offers irreversible and irreversible records of the transmission and reception of documents. In the work system, it is available to all participants who have successfully registered and depending on the smart contract offered by Ethereum blockchain to start sending and receiving documents according to available applications or needs. In the end, the results of the B-FEF model showed that a single transaction costs about 0.387020062 Ether, that is, it showed a positive side in terms of the total cost rate. Also, in comparison with the methods previously presented in five of the previous researches and based on assessments based on eight basic criteria, the analyses supported our claim that the proposed model fulfills all these criteria. As for the basic trio of confidentiality, integrity and availability analysis, the proposed model proved to meet these fundamentals.

Machine Learning Application for Early Power Analysis Accuracy Improvement: A Case Study for Nets Switching Power

In the quest for precise power estimation during the early phases of design, the absence of a Standard Parasitic Exchange File (SPEF) with interconnect R/C values poses a significant hurdle. To address this challenge, we introduce a Machine Learning (ML) approach designed to predict net power metrics at the Gate Level without relying on SPEF. Net features are extracted from Electronic Design Automation (EDA) tools, facilitating the training of models for the prediction of Net Switching Power. Notably, the Random Forest model emerges as the most effective, achieving high accuracy by reducing power error from around 20% to a mere 0.1%.Furthermore, our innovative approach enhances efficiency by bypassing the traditional SPEF generation process. This results in a significant 5x reduction in runtime compared to the conventional flow, with a notable decrease from 163.6 minutes to just 33.7 minutes. This substantial acceleration is achieved by skipping the time-intensive synthesis and physical design steps required for SPEF.In summary, our ML-based methodology not only achieves swift and accurate power estimation in the early stages of design but also liberates the process from the constraints of SPEF dependency. This marks a transformative shift in the landscape of power estimation methodologies.

Trustworthy retrieval system in mobile P2P wireless network

Modern lifestyles heavily rely on the Internet, with mobile devices and wireless networks being indispensable. However, in peer-to-peer (P2P) wireless networks, low battery levels can lead to user non-cooperation and subsequent low retrieval rates. Additionally, the presence of malicious nodes can result in incorrect or malicious file exchanges. We introduce the Trustworthy Retrieval System (TRS) for mobile P2P wireless networks. TRS ensures decentralized info management, optimizes message forwarding, and guarantees file quality even with malicious nodes. It adapts to mobile network environment, maintains high retrieval rates, and deals with low battery levels and malicious nodes. Simulations confirm TRS's effectiveness, showing improved retrieval rates, resilience to failures, low overhead, and successful malicious node mitigation.

Assessing the energy recovery potential at district metered areas inlets of water supply systems: A Spanish case study

The energy required for various processes in the water cycle can have significant economic and environmental impacts. Therefore, efficient energy management in urban water supply systems is crucial for a sustainable operation. By installing energy recovery technologies in these facilities, it is possible to reap the benefits of the infrastructure design by saving energy. In this study, a new methodology to assess the energy recovery at the inlets of district metered areas is presented, considering the city of Murcia (Spain) as case study. This methodology is based on creating a detailed model of city water supply system and calibrating such model with an experimental campaign of measurements. Then, the assessment of the hydraulic potential recovery is analysed through two different energy estimators, one considering the minimum available net head and the other assuming a variable net head. Results show that there are several points where turbines could be installed, most of them recovering in between 1000–5000 kWh, which could be used to cover the yearly energy consumption of about 24–120 m2 of a school or 10–50 traffic lights of such area. Moreover, in some points it could be recovered up to 14500 kWh. Even though these values are not high, the energy recovered could be used for self-consumption of nearby electrical loads, at the time that reduces the pressure in the system, thus leading to leak reductions. Moreover, this kind of energy recovery does not reduce the potential of other proposals for upstream energy recovery, such as replacing pressure reduction valves with turbines instead. The scripts developed to apply the proposed methodology are available in EPANET-Octave file exchange for the researcher community.

Tiffany Pollard GIFs and nostalgia for the negative

ABSTRACT This essay asks how the nostalgic attachments to particular Black women’s performances on reality television inform current uses of those images through internet GIFs and memes. Examining the usage and exchange of files depicting the mid-2000s reality television star Tiffany Pollard on Twitter, I compare appropriation of black women’s humour within digital spaces alongside appreciation of ‘bad television’ [McCoy, C.A., and Scarborough, R.C., 2014. Watching “bad” television: ironic consumption, camp, and guilty pleasures. Poetics, 47, 41–59] and the useful potentials of ‘negative’ representation [Gates, R.J., 2018. Double negative: The black image and popular culture. Duke University Press]. Debates about representational politics are complicated when circulating digital images and files that invoke nostalgic response through racialized gendered performances. What does circulation of these GIFs and memes say about nostalgia for a unique moment in reality television where ‘ratchet’ behaviour [Brock, A., 2020. Distributed blackness. New York University Press] was encouraged and the limits of respectability politics were experimented with? Examining how some have labelled exchange of these GIFs as perpetuating ‘digital blackface’ [Jackson, L.M., 2017. We need to talk about digital blackface in reaction GIFs. Teen vogue, 2], I theorize how contemporary accusations of exploiting stereotypical depictions of Black people in order to gain online social capital mirrors the history of American minstrelsy’s purported nostalgia for ‘authentic’ Black performance. As the majority of popular GIFs of Pollard present ‘ugly feelings’ [Ngai, S., 2005. Ugly Feelings. Harvard University Press] such as irritation, resentment and disgust, the relationship between nostalgia for so-called better times, and desire for a recent moment in cable television’s past in which the boundaries of ‘good representation’ were pushed and disregarded become entangled. By looking to animation of disembodied digital images in the use of GIFs as moving image files that are looped, refigured and circulated, I draw attention to new sites of digital racialization, popular culture criticism and examination of digital affect as it corresponds with Black diasporic cultural production.

Robust PDF Watermarking against Print-Scan Attack.

Portable document format (PDF) files are widely used in file transmission, exchange, and circulation because of their platform independence, small size, good browsing quality, and the ability to place hyperlinks. However, their security issues are also more thorny. It is common to distribute printed PDF files to different groups and individuals after printing. However, most PDF watermarking algorithms currently cannot resist print-scan attacks, making it difficult to apply them in leak tracing of both paper and scanned versions of PDF documents. To tackle this issue, we propose an invisible digital watermarking technology based on modifying the edge pixels of text strokes to hide information in PDFs, which achieves high robustness to print-scan attacks. Moreover, it cannot be detected by human perception systems. This method focuses on the representation of text by embedding watermarks by changing the features of the text to ensure that changes in these features can be reflected in the scanned PDF after printing. We first segment each text line into two sub-blocks, then select the row of pixels with the most black pixels, and flip the edge pixels closest to this row. This method requires the participation of original PDF documents in detection. The experimental results show that all peak signal-to-noise ratio (PSNR) values of our proposed method exceed 32 dB, which indicates satisfactory invisibility. Meanwhile, this method can extract the hidden information with 100% accuracy under the JPEG compression attack, and has high robustness against noise attacks and print-scan attacks. In the case of no attacks, the watermark can be recovered without any loss. In terms of practical applications, our method can be applied in the practical leak tracing of official paper documents after distribution.

Polyharmonic splines interpolation on scattered data in 2D and 3D with applications

Data interpolation is a fundamental problem in many applied mathematics and scientific computing fields. This paper introduces a modified implicit local radial basis function interpolation method for scattered data using polyharmonic splines (PS) with a low degree of polynomial basis. This is an improvement to the original method proposed in 2015 by Yao et al.. In the original approach, only radial basis functions (RBFs) with shape parameters, such as multiquadrics (MQ), inverse multiquadrics (IMQ), Gaussian, and Matern RBF are used. The authors claimed that the conditionally positive definite RBFs such as polyharmonic splines r2nlnr and r2n+1 “failed to produce acceptable results”.In this paper, we verified that when polyharmonic splines together with a polynomial basis is used on the interpolation scheme, high-order accuracy and excellent conditioning of the global sparse systems are gained without selecting a shape parameter. The scheme predicts functions’ values at a set of discrete evaluation points, through a global sparse linear system. Compared to standard implementation, computational efficiency is achieved by using parallel computing. Applications of the proposed algorithms to 2D and 3D benchmark functions on uniformly distributed random points, the Halton quasi-points on regular or Stanford bunny shape domains, and an image interpolation problem confirmed the effectiveness of the method. We also compared the algorithms with other methods available in the literature to show the superiority of using PS augmented with a polynomial basis. High accuracy can be easily achieved by increasing the order of polyharmonic splines or the number of points in local domains, when small order of polynomials are used in the basis. MATLAB code for the 3D bunny example is shared on MATLAB Central File Exchange (Yao, 2023).

How to produce a diagnostic opinion at a distance? New forms of tele-expertise use in France and their transformational effects on healthcare practices in dermatology

How to produce a diagnostic opinion at a distance, without seeing and examining patients? This is the challenge of tele-expertise (TLX), defined first in legal terms, as one of the five telemedicine acts in France. It consists of a particular form of healthcare practice in which a physician, known as the “requester”, solicits remotely the opinion of another practitioner, a specialist known as the “requested”, by sharing with him/her clinical information and photographs that he/she produces for this purpose, based on the medical examination of the patient. This practice is certainly not new; it is inherent to any medical activity where it develops outside of any legislative and regulatory framework, between practitioners who already know each other more or less well. So the novelty of the recent forms of TLX as a legally recognized medical act in its own right, relies mainly on the development of secure file exchange platforms within territorialized care networks, the systematization of these practices beyond the networks of acquaintances and their coverage by the health insurance. The purpose of this article is to describe the various usages of this new form of TLX, as well as to understand how they contribute to the in-depth transformation of care practices and organizations. It suggests doing so in the specific case of dermatology, through a qualitative study based on semi-directive interviews approximately with fifty French dermatologists, mainly requested experts, practicing TLX both in the context of private practice and in a hospital setting. The results of this empirical study are presented in three parts. First, we will consider the specificity of dermatological practice and describe the particular ways in which TLX is being implemented in this field, as a new framework. Then, we will report on the multiples efforts and skills needed to produce a diagnostic opinion remotely. We will lastly present various uses that dermatologists develop of TLX in different socio-organizational configurations. We will finally discuss how these uses transform the usual practices of dermatologists, not only by creating a new type of activity, but also by allowing them to participate differently in the organization of care pathways.

SOCIAL NETWORKS AS A MODERN TOOL IN CAREER GUIDANCE COUNSELING WITH FUTURE APPLICANTS OF THE INFORMATION SECTOR

<p><strong><em>The purpose</em></strong><em> of the study is to highlight the role of social networks as one of the modern means of career guidance work in higher education institutions, which allows to effectively acquaint applicants with the prospects of majors, presenting them with all important and relevant information.</em></p><p><strong><em>Research methodology. </em></strong><em>During the research, the following methods were used: descriptive (to specify the theoretical foundations of the work); analysis and synthesis, structural (for generalization and systematization of the obtained data).</em><em></em></p><p><strong><em>Results</em></strong><em>. It is emphasized that social networks in career guidance work are a popular element of the modern information space, a high-quality tool for establishing a connection between universities and future applicants, as well as a platform for joint activities for the purpose of consulting, searching and informing. It has been established that the use of social networks will allow to significantly expand the reach of the target audience, apply online marketing strategies to promote the offer, and adapt the form and content of career guidance materials to its characteristics. The Facebook and Instagram community «MediaBiznes#MBKNUCaA» of the specialty «Information, library and archival business», which was created at the department of «Event management and social communications» of the separate division «Mykolaiv branch of the Kyiv National University of Culture and Arts» for the rapid dissemination of information among teachers of the department, students, exchange of files, video and audio materials of an educational and scientific nature and involvement of future entrants in the field of information activities. The possibilities of social networks represent, in our opinion, the basis of an effective strategy for the development of modern educational systems in general, will enrich and expand information about the future specialty, will significantly deepen the horizons of future applicants who will purposefully choose information activities.</em></p><p><strong><em>Novelty</em></strong><em>. The novelty of the obtained results is due to the fact that, despite the active interest of the scientific community in the use of social networks as a modern tool in career guidance work with future entrants of the information field, there are no serious generalization works.</em></p><p><strong><em>Practical meaning. </em></strong><em>The results of the research can be used during the implementation of tools in career guidance activities in institutions of higher education.</em><em></em></p><p><strong><em>Key words: </em></strong><em>social networks, career guidance, higher education, entrants in the field of information activities, professional choice, advertising support.</em></p>