Using R Software Research Articles

Ultra-fast and accurate electron ionization mass spectrum matching for compound identification with million-scale in-silico library

Spectrum matching is the most common method for compound identification in mass spectrometry (MS). However, some challenges limit its efficiency, including the coverage of spectral libraries, the accuracy, and the speed of matching. In this study, a million-scale in-silico EI-MS library is established. Furthermore, an ultra-fast and accurate spectrum matching (FastEI) method is proposed to substantially improve accuracy using Word2vec spectral embedding and boost the speed using the hierarchical navigable small-world graph (HNSW). It achieves 80.4% recall@10 accuracy (88.3% with 5 Da mass filter) with a speedup of two orders of magnitude compared with the weighted cosine similarity method (WCS). When FastEI is applied to identify the molecules beyond NIST 2017 library, it achieves 50% recall@1 accuracy. FastEI is packaged as a standalone and user-friendly software for common users with limited computational backgrounds. Overall, FastEI combined with a million-scale in-silico library facilitates compound identification as an accurate and ultra-fast tool.

Usability Evaluation of a National Mobile-Based Automation System for Pre-Hospital Emergency Care (ASAYAR)

Introduction: Emergency Medical Services (EMS) is one of the vital links in the care chain, and its services need to be improved. These services can be available through mobile-based automation system, in which low usability level of these systems lead to decrease the acceptance, satisfaction, and confidence of users especially the emergency care team. The purpose of this study was the usability evaluation of a national mobile- based automation system among the pre-hospital emergency care team.Material and Methods: This cross-sectional study was conducted on pre-hospital emergency care team members in Semnan and Shahroud Universities of Medical Sciences in 2022. The usability evaluation of the mobile- based EMS automation system was done using the Software Usability Measurement Inventory (SUMI) questionnaire. Multiple logistic regression models were used to analyze data.Results: One hundred eighty-eight EMS team members from the 31 EMS centers in Semnan province participated in present study. The mean total usability score was 61.93±15.37, the highest mean score was related to the efficiency feature (67.19±19.85) and the lowest mean score was related to the learnability feature (48.21±29.29). There was a reverse and significant relationship between being a manager and the agreement with the usability (p=0.04, OR= -3.383, CI 95%=0.389-29549).Conclusion: This study showed that although an automation system may be widely used in a country, its usability could be at a low level. In order to improve the different function of these systems, it is suggested to participate various clinical experts include prehospital emergency care team in all stages of designing and developing these systems.

Growing an open source community

Since the emergence of free software in the 1980s, the belief that software should be free has been quite widely held. During this period, the software developers took the leading role. As the 1990s began, there was a notable increase in the number of general users of open source software. Furthermore, developers and distro developers (who acted as both licensors and licensees, as well as users and developers) began to take a more active role in driving the direction of open source development. This period marked the emergence of the open source era, characterized by a greater convenience for distro developers. However, in the 2010s, the importance of platforms increased and previous control on licensing diminished. In other words, the history of free software and open source has been the history of how the parties holding the business initiative have been changing at each period.

Development of an Educational Fuel Cell System for Mechanical Engineering Course

Although there is growth in electrochemical system applications such as batteries and fuel cells to power land and air transportation and the current push for hydrogen technology, modeling and control design of thermal and power aspects of such systems is not commonly taught. To incorporate such content, an educational learning hardware system with software interface had been constructed to teach process dynamics and control in selected undergraduate mechanical engineering courses. Given a fuel cell is an energy conversion unit that uses chemical fuel to produce electricity without combustion, a set of student groups developed an educational laboratory system that ensured reliable and consistent power delivery from fuel cell as well as stable hydrogen production using cost-effective and off-the-shelf resources. A 100W Proton Exchange Membrane Fuel Cell (PEMFC) system was constructed through integration of hardware components, and user software interface like MATLAB for accessibility and ease of use in a laboratory course setting. The interface accessed remotely or face-to-face allowed for flow rate, pressure, and temperature measurements to be recorded for student analysis related to understanding of thermal and power performance and management of fuel cell and/or electrolyzer at different operating conditions. The system performed well based on initial testing by a pilot group of other students. It will be implemented in an upcoming course offering related to energy conversion and/or thermal fluid laboratory.

Using an open source and resilient technology framework to generate and execute prescription maps for site-specific manure application

The development of precision farming solutions and the required network infrastructure appear to be progressing at different speeds and levels of deployment. In most of the world's rural areas, where farming takes place, network coverage and infrastructure is at a basic level. However, where digital farming solutions are applied, internet-dependent applications need backup solutions to enable the same or a comparable performance towards maintaining the functionality of the specific practice and ultimately food production. The aim is to avoid regressing to basic practices waiving advantages of established precision farming technologies. Based on a conceptual framework, defined by the authors in a previous work, site-specific slurry application was chosen as a concrete use case to implement and demonstrate fallback options to maintain efficient and reliable application even during internet outages. Initially, the differences between conventional and resilient IT infrastructure were contrasted and investigated. The generation of a prescription map (PM) based on the fusion of multiple parameters, clustered in the domains of soil, yield, and remote sensing, was performed utilizing open-source and offline usable software. For seamless transmission of the generated PMs, a new and innovative hardware platform was integrated into the machinery fleet and working process of a machinery ring (MR), which was acting as a service contractor in the inter-farm slurry application. Interoperability was considered by enabling the executing software to accept PMs of altering origin. The on- and off-line generation of PMs including data fusion, were also compared. Here the multi-parametric approach corresponded to the ground truth data, whereas the PMs generated in an online farm management information system (FMIS), using only one data source, showed deviations in management zone patterns and relative dose rates. In addition, the impact of the lack of online accessible data on the delineation of management zones was investigated and resulted in a switch from the medium to the high dose rate (DR) level in 9.1% of the field's area.

Understanding In-Situ Programming for Smart Home Automation

Programming a smart home is an iterative process in which users configure and test the automation during the in-situ experience with IoT space. However, current end-user programming mechanisms are primarily preset configurations on GUI and fail to leverage in-situ behaviors and context. This paper proposed in-situ programming (ISP) as a novel programming paradigm for AIoT automation that extensively leverages users' natural in-situ interaction with the smart environment. We built a Wizard-of-Oz system and conducted a user-enactment study to explore users' behavior models in this paradigm. We identified a dynamic programming flow in which participants iteratively configure and confirm through query, control, edit, and test. We especially identified a novel method "snapshot" for automation configuration and a novel method "simulation" for automation testing, in which participants leverage ambient responses and in-situ interaction. Based on our findings, we proposed design spaces on dynamic programming flow, coherency and clarity of interface, and state and scene management to build an ideal in-situ programming experience.

Researcher capacity estimation based on the Q model: a generalized linear mixed model perspective

Chance models of scientific creative productivity allow estimation of researcher capacity. One prominent such model is the Q model in which the impact of a scholarly work is modeled as a multiplicative function of researcher capacity and a potential impact (i.e., luck) parameter. Previous work estimated researcher capacity based on an approximation of the Q parameter. In this work, however, I outline how the Q model can be estimated within the framework of generalized linear mixed models. This way estimates of researcher capacity (and all other parameters of the Q model) are readily available and obtained by standard statistical software packages. Usage of such software further allows comparing different distributional assumptions and calculation of reliability of the Q parameter (i.e., researcher capacity). This is illustrated for a large dataset of multidisciplinary scientists (N = 20,296). The Poisson Q model was found to have negligibly better predictive accuracy than the original normal Q model. Reliability estimates revealed excellent reliability of Q estimates with conditional reliability being mostly in acceptable ranges. Reliability of Q parameter estimates further depended heavily on the number of publications of a scientist with reliability increasing with the number of papers. The future and limitations of the Q model in the context of researcher capacity estimation are thoroughly discussed.

Implikasi Pemahaman pengguna Software OLIBS 724 bagi pegawai Bank NTB Syariah terhadap loyalitas nasabah

This study aims to identify the understanding of OLIBS (Online Integrated Banking System) 724 Core banking Software users and its implications for customer loyalty of NTB Syariah banks. The research method used in this study is qualitative research, namely in-depth data processing with data from observations, interviews, and literature. Direct interviews were conducted with key informants such as officials and technical employees of the Information System Technology division of Bank NTB Syariah, front liner administrative employees of Bank NTB Syariah, and customers of Bank NTB Syariah. The result of this study is that human resources are the main asset and play an essential role for NTB syariah banks, and need to constantly be improved in skills and performance. Bank NTB Syariah needs to place training on the use of OLIBS 724 software as essential in improving the knowledge and performance of its employees (both old and new employees) so that employees can adjust to any conditions. Quality of service must start with customer needs and end with customer satisfaction. Satisfied customers get value from Islamic bank products, the value of fairness for profit sharing as expected, the value of service quality, and the value of the system or something religious emotion, which is to avoid usury. The results of this study show that employee understanding of OLIBS 724 software users positively influences customer satisfaction. The more employees understand the use of OLIBS 724 software, the more customers will be served well and quickly, which in turn will increase customer satisfaction and loyalty

Introduction to special issue on Agile UX: challenges, successes and barriers to improvement

The integration of Agile software development and User Experience (UX) has become a growing field of research, as both approaches play critical roles in building digital products and services. In this special issue on Agile UX, the current state of the field is explored through a combination of systematic literature reviews and qualitative and quantitative studies. The special issue provide an overview of the key trends, challenges, and successes in combining Agile and UX, and highlight the importance of involving stakeholders throughout development. The shift from plan-driven approaches to Agile UX approaches has brought a focus on human values and a better understanding of the importance of considering users’ needs. We present recent advances in research and practice, showing that Agile UX is a continuous journey towards changing user behavior by delivering value.

Developing STEM-Integrated Interactive Multimedia to Improve Students' Data Literacy and Technology Literacy

Facing industry 4.0 literacy requires a role of literacy. One of the literacies that are suitable for answering the challenges of this era is data and technology literacy. The STEM approach is the learning approach used to address the challenges of the Industry 4.0 revolution. However, the actual conditions in the field describing the application of interactive multimedia by integrating STEM and integrating data and technology literacy in learning still need to be improved. The solution is to develop interactive multimedia by integrating STEM. This research aims to produce valid and practical interactive multimedia by integrating STEM to improve the data and technology of students. The Research & Development stage was completed until limited product testing. The data in this research was obtained from experts' validity and practical results from the students of class 11 science. The data collection instrument consisted of the validity sheet given to the experts and the practicality sheet given to the students of class 11 science. The analysis results show that the STEM-integrated interactive multimedia produced is valid and practical according to students. The second value is included in the very good category. Experts rationally state that interactive multimedia integrating STEM is valid regarding material substance, visual communication display, learning design, software usage, and assessment of STEM components. Students stated that the interactive multimedia presentation integrating STEM was practical regarding usability, ease of use, attractiveness, and clarity.

Software Usability Testing Using EEG-Based Emotion Detection and Deep Learning.

It is becoming increasingly attractive to detect human emotions using electroencephalography (EEG) brain signals. EEG is a reliable and cost-effective technology used to measure brain activities. This paper proposes an original framework for usability testing based on emotion detection using EEG signals, which can significantly affect software production and user satisfaction. This approach can provide an in-depth understanding of user satisfaction accurately and precisely, making it a valuable tool in software development. The proposed framework includes a recurrent neural network algorithm as a classifier, a feature extraction algorithm based on event-related desynchronization and event-related synchronization analysis, and a new method for selecting EEG sources adaptively for emotion recognition. The framework results are promising, achieving 92.13%, 92.67%, and 92.24% for the valence-arousal-dominance dimensions, respectively.

Research on Identifying Important Factors and Prediction of Online Service Satisfaction for Mobile Phone Users

Our lives cannot do without the internet. How to improve the network quality has always been an essential problem. The paper explores the important factors of online service satisfaction and the best predicting model. Based on the data offered by Beijing Mobile Company, we identify main factors affecting online service satisfaction by calculating their mutual information values. The factors include signal problem factors, scene factors and software usage factors. Additionally, based on decision tree model and models with decision tree as base learner, we predict the online service satisfaction. The result shows that random tree model with One Vs Rest mode has the greatest accuracy among the models which offers telecommunications companies insight.

Analysis and Design of G + 1 RCC Building

Due to advancement of technology humans are creating software to make things easier and time saving. As a result in the civil engineering point of view the manual design of buildings has lost its importance. It is true that design using a software is easy and time saving and mostly results are accurate. On the other hand manual design is a cumbersome job and a time consuming process, but for a beginner manual design helps to understand the basic fundamentals that are involved in designing a building. Once a person gains knowledge in manual design he will be knowing the elements involved in designing and can easily understand the usage of software. The main objective of the project is to use the knowledge that we have learn during our graduation and learn to deal with practical cases. We wish this project will fulfil our purpose.

Potential Barriers to the Implementation of Computer-Based Simulation in Pharmacy Education: A Systematic Review.

Computer-based simulation (CBS) is an interactive pedagogical training method that has seen increased interest, especially in recent years. There is some evidence that CBS in pharmacy education is not as widely adopted compared to other healthcare disciplines. Pharmacy education literature to date has not specifically discussed the potential barriers which may cause this uptake challenge. In this systematic narrative review, we attempted to explore and discuss potential barriers that may impact the integration of CBS in pharmacy practice education and provide our suggestions to overcome them. We searched five major databases and used the AACODS checklist for grey literature assessment. We identified 42 studies and four grey literature reports, published between 1 January 2000 and 31 August 2022, which met the inclusion criteria. Then, the specific approach of Braun and Clarke for thematic analysis was followed. The majority of the included articles were from Europe, North America, and Australasia. Although none of the included articles had a specific focus on barriers to implementation, thematic analysis was used to extract and discuss several potential barriers, such as resistance to change, cost, time, usability of software, meeting accreditation standards, motivating and engaging students, faculty experience, and curriculum constraints. Ad- dressing academic, process, and cultural barriers can be considered the first step in providing guidance for future implementation research for CBS in pharmacy education. The analysis suggests that to effectively overcome any possible barriers to implementing CBS, different stakeholders must engage in careful planning, collaboration, and investment in resources and training. The review indicates that additional research is required to offer evidence-based approach and strategies to prevent overwhelming or disengaging users from either learning or teaching process. It also guides further research into exploring potential barriers in different institutional cultures and regions.

Woman-centred care and integrated electronic medical records within Australian maternity settings: Point prevalence audit and observational study

ObjectiveTransition to paperless records brings new challenges to midwifery practice across the continuum of woman-centred care. There is limited and conflicting evidence on the relative benefits of electronic medical records in maternity settings. This article aims to inform the use of integrative electronic medical records within the maternity services’ environment with attention to the midwife-woman relationship. DesignThis descriptive two-part study includes 1) an audit of electronic records in the early period following implementation (2-time points); and 2) an observational study to observe midwives’ practice relating to electronic record use. SettingTwo regional tertiary public hospitals ParticipantsMidwives providing care for childbearing women across antenatal, intrapartum and postnatal areas. Findings400 integrated electronic medical records were audited for completeness. Most fields had high levels of complete data in the correct location. However, between time 1 (T1) and time 2 (T2), persistent missing data (foetal heart rate documented 30 minutely T1 36%; T2 42%), and incomplete or incorrectly located data (pathology results T1:63%; T2 54%; perineal repair T1 60%; T2 46%) were identified. Observationally, midwives were actively engaged with the integrative electronic medical record between 23% to 68% (median 46%; IQR 16) of the time. ConclusionMidwives spent a significant amount of time completing documentation during clinical episodes of care. Largely, this documentation was found to be accurate, yet exceptions to data completeness, precision and location remained, indicating some concerns with software usability. Implications for practiceTime-intensive monitoring and documentation may hinder woman-centred midwifery care.

Child-home interaction: Design and usability evaluation of a game-based end-user development for children

Initiative or control authority is an important challenge in smart environments, including smart homes. One of the solutions to this challenge is End-user Development (EUD). The EUD refers to defining customized rules by users to determine their desired behaviour and preferences in the format of trigger-action or event-condition-action for their smart home. But EUD rules need an understanding of mathematical logic; hence they are not understandable for general users including children. This paper proposes a user interface specifically designed for children to define EUD tasks in smart homes. The proposed UI was designed and evaluated in three iterations and had two main characteristics: gamification and 3D abstraction level for showing devices. The proposed UI is evaluated through an experiment by 32 participants aged 8–12 to measure efficiency, operability, perceived usability, enjoyment, and engagement. The experiment results show that game-based design improved usability by increasing efficiency and operability metrics. Also, based on the survey result, it improved enjoyment, engagement, and perceived usability.

Analytical investigation of the finite viscoelastic model proposed by Simo: critical review and a suggested modification

Rubber components such as engine or suspension bearings are loaded during operation with large deformations and high-frequency loads. In industrial applications, finite element analysis software is therefore needed to simulate and predict the behaviour of these components under different scenarios of loading conditions. The usage of such software requires the user to be aware of certain limitations and shortcomings in the implemented material models. In this paper, the stresses as well as the storage and loss modulus are calculated analytically for an example of cyclic simple shear deformations. The analysed material model was firstly proposed by Simo and is available in Abaqus version 2018 for viscoelastic materials under finite strains. The analytical solution is used to highlight the non-physical response of the model under certain loading conditions. A modification of the modelling approach is then proposed to avoid such limitations. The modified model is implemented in the Abaqus software using a user material subroutine (UMAT). The behaviour of the modified model and the original Abaqus model are compared using an example of tie rod under different loading conditions. It is shown that with the suggested modification, reasonable results are obtained and the non-physical responses are eliminated.

Global overview of research data repositories: an analysis of re3data registry

PurposeData sharing is increasingly being recognized as an essential component of scholarly research and publishing. Sharing data improves results and propels research and discovery forward. Given the importance of data sharing, the purpose of the study is to unveil the present scenario of research data repositories (RDR) and sheds light on strategies and tactics followed by different countries for efficient organization and optimal use of scientific literature.Design/methodology/approachThe data for the study is collected from registry of RDR (re3data registry) (re3data.org), which covers RDR from different academic disciplines and provides filtration options “Search” and “Browse” to access the repositories. Using these filtration options, the researchers collected metadata of repositories i.e. country wise contribution, content-type data, repository language interface, software usage, metadata standards and data access type. Furthermore, the data was exported to Google Sheets for analysis and visualization.FindingsThe re3data registry holds a rich and diverse collection of data repositories from the majority of countries all over the world. It is revealed that English is the dominant language, and the most widely used software for the creation of data repositories are “DataVerse”, followed by “Dspace” and “MySQL”. The most frequently used metadata standards are “Dublin Core” and “Datacite metadata schema”. The majority of repositories are open, with more than half of the repositories being “disciplinary” in nature, and the most significant data sources include “scientific and statistical data” followed by “standard office documents”.Research limitations/implicationsThe main limitation of the study is that the findings are based on the data collected through a single registry of repositories, and only a few characteristic features were investigated.Originality/valueThe study will benefit all countries with a small number of data repositories or no repositories at all, with tools and techniques used by the top repositories to ensure long-term storage and accessibility to research data. In addition to this, the study provides a global overview of RDR and its characteristic features.

When Criminals Abuse the Blockchain: Establishing Personal Jurisdiction in a Decentralised Environment

In August of 2022, the United States Department of Treasury sanctioned the virtual currency mixer Tornado Cash, an open-source and fully decentralised piece of software running on the Ethereum blockchain, subsequently leading to the arrest of one of its developers in the Netherlands. Not only was this the first time the Office of Foreign Assets Control (OFAC) extended its authority to sanction a foreign ‘person’ to software, but the decentralised nature of the software and global usage highlight the challenge of establishing jurisdiction over decentralised software and its global user base. The government claims jurisdiction over citizens, residents, and any assets that pass through the country’s territory. As a global financial center with most large tech companies, this often facilitates the establishment of jurisdiction over global conduct that passes through US servers. However, decentralised programs on blockchains with nodes located around the world challenge this traditional approach as either nearly all countries can claim jurisdiction over users, subjecting users to criminal laws in countries with which they have no true interaction, or they limit jurisdiction, thereby risking abuse by bad actors. This article takes a comparative approach to examine the challenges to establishing criminal jurisdiction on cryptocurrency-related crimes.

Completion of Parallel app Software User Operation Sequences Based on Temporal Context

While mobile application (app) software is becoming increasingly important in people's daily lives, researchers have the limitation of understanding the details of user operations inside the app. With the update of the Android system and application user interface, relying on manually defined user operation event templates or modifying the app source code can no longer meet the needs of fine-grained user operation analysis in multiparallel applications. In this article, a novel method is proposed for effectively analyzing user operations in parallel apps based on the temporal context of user operation sequences. The authors provide a general framework in the Android system to parse out fine-grained user operations. In addition, the authors build a deep learning model with LSTM-TextCNN to complete user operations in parallel app from global temporal context and app temporal context. The authors collected 240k operations of 12 users over a month. Comparative experiments with a baseline show that the proposed method can efficiently and accurately analyze parallel app user operations.