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Basic computer skills are essential for authors writing research papers as it has the potential to make the task easier for a researcher. This article provides a glimpse about the essential software programs for a novice author writing a research paper. These software applications help streamline the writing process, improve the quality of work, and ensure that papers are formatted correctly. It covers word processing software, grammar correction software, bibliography management software, paraphrasing tool, writing tools, and statistical software. All of the tools described are free to use. Hence, it would help researchers from resource-limited settings or busy physicians who get lesser time for research writing. We presume this review paper would help provide valuable insights and guidance for novice authors looking to write a high-quality research paper. [ABSTRACT FROM AUTHOR]

Purpose: Mobile learning has seen tremendous growth over the years. Like any other software application, usability is one of the key concerns in its successful implementation. There is a lack of study that provides a comprehensive overview of usability testing of mobile learning applications. Motivated by this a mapping study is conducted. Design/methodology/approach: A systematic mapping study was conducted using 51 papers retrieved from the Scopus database published between 2005 and 2022 that reported on usability testing of mobile learning applications. Findings: The key findings suggest that research is expected to expand in the near future. User-based testing is the commonly used method, while data are collected mainly through questionnaires, observation and interviews. Testing is mainly conducted in a controlled environment. Originality/value: The study provides (1) an evidence-based discussion on usability testing of mobile learning applications, (2) an up-to-date map on state of the art on usability testing of mobile learning applications and (3) providing direction for further research to scientifically strengthen the field. [ABSTRACT FROM AUTHOR]

In the past decades, a significant increase has been observed in cyberattacks on the web-based systems used for financial purposes. Such individual systems often contain security weaknesses, called vulnerabilities that can be exploited for malicious purposes. The exploitation of such vulnerabilities can result in disclosure and manipulation of sensitive data as well as have destructive effects. To protect such systems, security testing is required on a periodic basis. Various detection and assessment techniques have been suggested by developers and researchers to address these security issues. In this paper, we survey the contributions of academia in the field of security testing for software applications and communication systems. A comprehensive review and in-depth analysis of the existing literature testing approaches has been performed to analyze their effectiveness and applicability under various scenarios. Further, we discuss various techniques used for conducting various security assessments. We follow the widely used method by Kitchenham and Charters for conducting a comprehensive systematic literature review process. Also, we propose a taxonomy for security testing techniques consisting of three main categories (Identification, Testing, and Reporting) and 17 subcategories consisting of specific security testing techniques (e.g., Black-box testing, risk assessment). Further, we assign a distinctive category from our taxonomy to each published paper in the security testing area, based on the material presented/discussed in the paper. [ABSTRACT FROM AUTHOR]

BACKGROUND: With the development of modern technology, the use of software-based applications in the field of health has become increasingly widespread. For this reason, computer-assisted personal registration forms have been developed using software programs. OBJECTIVE: The aim of this study was to compare surface contamination during the filling of orthodontic anamnesis-consent forms, traditionally on paper and digitally on a tablet equipped with a software application, measured in confined spaces using the 3M Clean-Trace Luminometer device. METHODS: In order for the participants to complete the orthodontic anamnesis-consent forms, two separate identical cabins with standard flat surfaces were prepared. In the first cabin, the participants conventionally completed these forms on paper (conventional group), while in the second cabin, the other group used a tablet equipped with a software program for this purpose (digital group). After the form completion process, surface pollution of the predetermined areas was measured in both cabins using a 3M Clean-Trace Luminometer device. RESULTS: Surface contamination was found to be statistically significantly higher in all measurement areas in the conventional group than in the digital group. Despite a statistically significant difference between the two groups in relation to the measurements performed using the pens (conventional or electronic), this was not as strong as those found for the remaining surfaces. CONCLUSION: The completion of orthodontic anamnesis-consent forms over tablets significantly reduced surface contamination in the close environment. This study reflects the importance of digitization – which has become beneficial in many fields – in reducing the spread of infections. [ABSTRACT FROM AUTHOR]

Formal proof of security measure effectiveness and computation security is vitally important for trust in critical information systems. It should be realized that formal security verification must be carried out at each infrastructural level (from the hardware level to the application level) in the process of system design. Currently, computation security analysis on the application level remains the major challenge as it requires complex labeling of computing environment elements. Traditionally, to solve this problem, information flow control (IFC) methods are employed. Unlike access control mechanisms widely used in modern operating systems (OSs) and database management systems (DBMSs), IFC has limited application in software design and mostly comes down to trivial taint tracking. This paper describes an approach to full-fledged implementation of IFC in PL/SQL program units with the use of the PLIF platform. In addition, a general scheme of computation security analysis for enterprise applications that work with relational DBMSs is considered. The key advantage of our approach is the explicit separation of functions between software developers and security analysts. [ABSTRACT FROM AUTHOR]

Urban environments, university campuses, and public and private buildings often present architectural barriers that prevent people with disabilities and special needs to move freely and independently. This paper presents a systematic mapping study of the scientific literature proposing devices, and software applications aimed at fostering accessible wayfinding and navigation in indoor and outdoor environments. We selected 111 out of 806 papers published in the period 2009–2020, and we analyzed them according to different dimensions: at first, we surveyed which solutions have been proposed to address the considered problem; then, we analyzed the selected papers according to five dimensions: context of use, target users, hardware/software technologies, type of data sources, and user role in system design and evaluation. Our findings highlight trends and gaps related to these dimensions. The paper finally presents a reflection on challenges and open issues that must be taken into consideration for the design of future accessible places and of related technologies and applications aimed at facilitating wayfinding and navigation. [ABSTRACT FROM AUTHOR]

The development of the education industry benefits from the continuous progress and updates of internet technology, and the organic integration of the two can further promote the emergence of the LMS (Learning Management System) system. Based on the application characteristics of the LMS system and the characteristics of the Software as a Service online education management system, a Software as a Service online education management system based on the extended LMS system was constructed. The service mode of the system was analysed, and a solution to the problem of paper formation and an analysis of the automatic paper formation algorithm in the system were provided. In addition, further research was conducted on the scores of the credibility evaluation of the system's services under different attribute parameters. Through the correlation analysis between different attributes and the credibility evaluation scores of the Software as a Service system, it can be seen that among the selected attribute parameters, Response Time and Latency show a negative correlation with the credibility evaluation, while other parameters show a positive correlation. The Software as a Service system constructed in this article provides relevant technical solutions, which have great practical application value and have reference significance for other similar applications. It provides more support for the application and promotion of the Software as a Service (SaaS) online education management system. [ABSTRACT FROM AUTHOR]

This paper provides a concise overview of Agile and DevOps methodologies in software engineering. It aims to introduce readers to the fundamental principles of Agile and DevOps, accompanied by brief descriptions and practical examples. The advantages and disadvantages of each methodology are discussed, followed by a comparative analysis highlighting key differences. Understanding these methodologies is crucial in today’s IT landscape, as they are commonly employed in various organizations, impacting project management, team collaboration, and product delivery. This paper serves as a valuable resource for individuals seeking a basic understanding of Agile and DevOps methodologies in software engineering. [ABSTRACT FROM AUTHOR]

One of the key components of computer vision applications like satellite and remote sensing and medical diagnosis is multi-modal image fusion. There are various multi-modal image fusion techniques, and each has advantages and disadvantages of its own. This paper proposes a new method based on multi-scale guided filtering. Initially, each source image is divided into coarse and fine layers at various scales using a guided filter. In order to fuse coarse and fine layers, two different saliency maps are used: an energy saliency map to coarse layers and a modified spatial frequency energy saliency map to fine levels. According to the simulation results, the suggested technique performs better in terms of quantitative evaluations of quality than other state-of-the-art techniques. All the simulation results are carried on a standard brain atlas database. [ABSTRACT FROM AUTHOR]

The continuous development of software applications is a necessary step in producing high-quality products that will consistently meet end-user expectations and stakeholder needs. Development of Arduino applications, embedded in a product's hardware, can and should be considered at the software engineering phase itself, even though current practice dictates it be handled by product engineers. The method used in this investigation was based on a systematic literature review (SLR). Therefore, this paper depicts a gap that currently exists within the body of literature surrounding the development of Arduino applications for 'internet of things' (IoT) applications in software engineering education in commercial and research fields. The result of this study are two findings investigates: i) relevant Arduino application development used in software engineering and ii) method for applying software engineering for Arduino applications. The limitations and constraints of each technique in respect to Arduino apps were also examined in order to provide a better understanding of each body of study's weaknesses and strengths. We realise that these studies are still insufficient and need to be evaluated and improved further. [ABSTRACT FROM AUTHOR]

Linear Logic is a versatile framework with diverse applications in computer science and mathematics. One intriguing fragment of Linear Logic is MultiplicativeAdditive Linear Logic (MALL), which forms the exponential-free component of the larger framework. Modifying MALL, researchers have explored weaker logics such as Noncommutative MALL (Bilinear Logic, BL) and Cyclic MALL (CyMALL) to investigate variations in commutativity. In this paper, we focus on Cyclic Nonassociative Bilinear Logic (CyNBL), a variant that combines noncommutativity and nonassociativity. We introduce a sequent system for CyNBL, which includes an auxiliary system for incorporating nonlogical axioms. Notably, we establish the cut elimination property for CyNBL. Moreover, we establish the strong conservativeness of CyNBL over Full Nonassociative Lambek Calculus (FNL) without additive constants. The paper highlights that all proofs are constructed using syntactic methods, ensuring their constructive nature. We provide insights into constructing cut-free proofs and establishing a logical relationship between CyNBL and FNL. [ABSTRACT FROM AUTHOR]

User experience is one of the key aspects nowadays in any successful web-based or Mobile based application. Usability is a measure of a software application or product that is calculated based on its users and it defines the easiness, efficiency of the application usage with user satisfaction. Look & feel and the navigation defines the usability of the application. The complex workflow or user actions can be made simple with the thoughtful User interface. A systematic study and strategy defined for the usability aspects will take the application usage to the next level. There are various proven frameworks available for improving usability. HCD framework, also known as Human Centered Design, is one of the impactful frameworks which focuses on understanding the end user for their needs, constraints, and behaviors. Design Thinking is another framework that helps in designing user-centric applications in a way that is intuitive and natural. This paper is focusing on defining the process for usability measurement. A complete framework for the usability parameter definition and its measurement at various levels of the application development phase is explained in detail in this paper. There is a wider literature review done for the proposed strategy, the details will be provided along with a comparative study. [ABSTRACT FROM AUTHOR]

Accessible Summary: What Is Known about the Subject?: One in five mothers and birthing parents are affected by postpartum depression (PPD), yet only a small proportion of those with PPD receive treatment.Given cost and accessibility barriers to treatment, brief therapies (e.g. 1 day) could help address PPD on a large scale, though understanding participants' unique experiences with this novel treatment will help guide its refinement and use. What this Paper Adds to Existing Knowledge?: This paper describes the experiences, perspectives and satisfaction of participants who attended a 1‐day workshop for PPD.Participants appreciate being taught practical techniques and the receipt of social support from facilitators and other attendees in the group setting, while some recommended further 'booster sessions' to enhance effectiveness. What Are the Implications for Practice?: One‐day CBT‐based workshops may be an effective, low‐intensity treatment option that provides helpful skills and builds social networks for individuals with PPD.Additional post‐workshop booster sessions may enhance participant satisfaction with this new treatment by providing a reinforcement of their learning and an opportunity to re‐connect with other birthing parents. Introduction: Postpartum depression (PPD) affects up to one in five mothers and birthing parents. Understanding their perceptions of therapeutic interventions is key to their effectiveness and scalability. Aim: The aim of the study was to understand participants' experiences attending an in‐person or online 1‐day cognitive behavioural therapy (CBT)‐based workshop for PPD and compare their experiences participating in either modality. Method: This descriptive qualitative study was embedded in two separate randomized controlled trials evaluating the effectiveness of 1‐day CBT‐based workshops for PPD delivered in‐person or online. Responses were provided by 94 in‐person and 95 online participants about their experiences. Content analysis was used to code and categorize the data. Results: Participants appreciated learning skills to improve PPD symptoms and joining a community of individuals with shared experiences. Integrating practical coping techniques after the workshop was reported to be most useful, though some wanted additional post‐workshop support. Online participants identified additional barriers to workshop engagement. Discussion: Participants who attended either workshop found them to be valuable and effective. Participants valued psychoeducation, social connections and applying practical CBT techniques. Implications for Practice: One‐day CBT‐based workshops may be an accessible treatment option for individuals with PPD, providing new skills and social support, though some prefer to receive additional post‐workshop support. [ABSTRACT FROM AUTHOR]

This document is a foreword for a special issue of the journal Microsystem Technologies. The special issue features selected papers from the 11th International Conference on Computing, Communication and Sensor Network (CCSN) held in September 2022 at Utkal University in Bhubaneswar, Odisha, India. The conference covered various interdisciplinary areas such as computing, communication, sensor networks, and circuit designs. The papers included in this special issue have undergone a rigorous review process and were selected for publication. The foreword expresses the hope that readers will find the papers informative. [Extracted from the article]

With the development of the brake-by-wire system, more and more advanced driver assistance systems have been applied to automobiles. The brake-by-wire system can collect the driver's braking intention through the displacement sensor and thus realize accurate braking by the motor. Based on the brake-by-wire system, we design an algorithm that can realize the vehicle Comfort Stop Technology (CST) in this paper. The CST can control the drop and rise of brake fluid pressure during the braking stop of the vehicle, and therefore reduce the sharp feeling of front and back pitching during the braking stop. Finally, through real car verification, the functional algorithm designed in this paper can improve the nodding feeling of the vehicle by reducing the deceleration of the vehicle during braking. [ABSTRACT FROM AUTHOR]

Objective: This paper explores machine learning methods for exercise-induced laryngeal obstruction (EILO) diagnostics. Traditional diagnostic approaches like CLE scoring face subjectivity, limiting precise objective assessments. Machine learning is introduced as a theoretical solution to potentially overcome these limitations and improve diagnostic precision. Methods: A narrative review was conducted to explore the integration of machine learning techniques in the diagnostics of EILO. Result: Three machine learning methods for the segmentation of laryngeal images were discovered: fully convolutional network, Mask R-CNN, and 3D VOSNet. Our findings reveal that the integration of machine learning with EILO diagnostics remains a largely untapped research domain, providing significant room for further exploration. Conclusions: The integration of ML techniques for EILO diagnostics has the potential to be a helpful tool for clinicians. The application of computer vision ML methods, such as image segmentation, to delineate laryngeal structures paves the way for a more objective assessment. While challenges persist, especially in differences in patients' laryngeal anatomy, the synergy of ML and medical expertise is an important field to explore in the years to come. [ABSTRACT FROM AUTHOR]

Maritime transport helps the development of the economy of countries. Improving the current situation in this type of transport requires the application of modern software tools for assessment, analysis and forecasting. The aim of this paper is to suggest an approach for an in-depth analysis of marine traffic near to independent ports. This approach is tested and validated for the Varna and Constanta ports for the period 2004–2021. Data from Eurostat are used. This paper proposes a new methodology for an in-depth analysis and forecasting of marine traffic of independent nearby ports using public data. Correlations, multiple regression, graphical methods, seasonality and trendlines are used to test and validate the proposed methodology. The results show that the proposed methodology may be applied for other independent ports and periods. The results show some interesting facts about the analyzed ports of Varna and Constanta. Our initial assumptions that these two independent ports have similar seasonality is rejected. The novelty of the paper refers to a new methodology for the in-depth analysis and forecasting of marine traffic of independent nearby ports using public data. Using the methodology in this paper (for an in-depth analysis of marine traffic of independent nearby ports) similar research may be done for other nearby ports and periods. Other research may focus on finding the specific types of cargo for each port influencing the differences in seasonality. Nearby ports with separate management may use the proposed methodology for better cargo planning and investment planning. [ABSTRACT FROM AUTHOR]

The creation of blockchain-based software applications requires today considerable technical knowledge, particularly in software design and programming. This is regarded as a major barrier in adopting this technology in business and making it accessible to a wider audience. As a solution, low-code and no-code approaches have been proposed that require only little or no programming knowledge for creating full-fledged software applications. In this paper we extend a review of academic approaches from the discipline of model-driven engineering as well as industrial low-code and no-code development platforms for blockchains. This includes a content-based, computational analysis of relevant academic papers and the derivation of major topics. In addition, the topics were manually evaluated and refined. Based on these analyses we discuss the spectrum of approaches in this field and derive opportunities for further research. [ABSTRACT FROM AUTHOR]

Shrimp farming has traditionally served as a crucial source of seafood and revenue for coastal countries. However, with the rapid development of society, conventional small-scale manual shrimp farming can no longer meet the increasing demand for rapid growth. As a result, it is imperative to continuously develop automation technology for efficient large-scale shrimp farming. Smart shrimp farming represents an innovative application of advanced technologies and management practices in shrimp aquaculture to expand the scale of production. Nonetheless, the use of these new technologies is not without difficulties, including the scarcity of public datasets and the high cost of labeling. In this paper, we focus on the application of advanced computer vision techniques to shrimp farming. To achieve this objective, we first establish a high-quality shrimp dataset for training various deep learning models. Subsequently, we propose a method that combines unsupervised learning with downstream instance segmentation tasks to mitigate reliance on large training datasets. Our experiments demonstrate that the method involving contrastive learning outperforms the direct fine-tuning of an instance segmentation model for shrimp in instance segmentation tasks. Furthermore, the concepts presented in this paper can extend to other fields that utilize computer vision technologies. [ABSTRACT FROM AUTHOR]

High-performance computing (HPC) offers the computing power to continuously support the world's most important discoveries in various scientific and business domains such as chemistry, physics, biology, material science, drug discovery, and financial investment risk analysis. Researchers from across the HPC community have been developing software systems, tools, libraries, frameworks, application packages, and methods that can fully exploit these extremely powerful computing resources. The eleventh paper titled "A large scale parallel fluid-structure interaction computing platform for simulating structural responses to a detonation shock" by Yang et al.[10] presents a partitioned fluid-structure interaction computing platform designed for parallel simulating structural responses to a detonation shock. [Extracted from the article]