Reviewerly/exHarmony huggingface dataset:
Tracking Semantic Evolutionary Changes in Large-Scale Ontological Knowledge Bases.

This paper is concerned with the problem of computing the semantic difference between different versions of large-scale ontological knowledge bases using a uniform interpolation (UI) approach. The semantic difference between two versions of an ontology are the axioms entailed by one version but not the other version, reflecting the evolutionary changes of the content of the ontology. In general, computing such axioms is not computationally feasible, since there are infinitely many of them. UI is an advanced reasoning technique that seeks to create restricted views of ontologies; it provides an effective means for computing a finite representation of the difference between two ontologies. While existing UI methods are designed for languages that are either more expressive or less expressive than the description logic ELH, the underlying language of typical large-scale ontologies, in this paper, we introduce a practical UI method tailored for the task of computing the semantic difference in large-scale ELH-ontologies. The method is terminating, sound, and can always compute UI results possibly including fresh definer symbols. Two case studies on different versions of the SNOMED CT terminology show that the method has overcome major limitations of existing UI methods and can be used to reveal modeling changes that have occurred over successive releases of SNOMED CT.
Building 21st Century Skills Using an Academic Makerspace

This article aims to contribute to the growing, yet still limited, research related to the development of 21st century skills in the post-secondary population by demonstrating that the use of academic makerspaces in curricula can facilitate the learning of 21st century skills. This article reviews literature regarding current information about 21st century skills and their development in teaching and learning facilitated by academic makerspaces. On the completion of a Capstone course delivered in an academic makerspace, a qualitative research study was conducted with the participating fourth-year Child Studies students. The research focused on the development of 21st century skills, the impact of 21st century skills on the practice of child and youth care, and the suggestions for the implementation of similar programming in other post-secondary institutions.
Fine-Grained Semantics-Aware Representation Enhancement for Self-Supervised Monocular Depth Estimation

Self-supervised monocular depth estimation has been widely studied, owing to its practical importance and recent promising improvements. However, most works suffer from limited supervision of photometric consistency, especially in weak texture regions and at object boundaries. To overcome this weakness, we propose novel ideas to improve self-supervised monocular depth estimation by leveraging cross-domain information, especially scene semantics. We focus on incorporating implicit semantic knowledge into geometric representation enhancement and suggest two ideas: a metric learning approach that exploits the semantics-guided local geometry to optimize intermediate depth representations and a novel feature fusion module that judiciously utilizes cross-modality between two heterogeneous feature representations. We comprehensively evaluate our methods on the KITTI dataset and demonstrate that our method outperforms state-of-the-art methods. The source code is available at this https URL.
Pengaruh Media Audio Visual Edukasi Smart (AVES) Terhadap Hasil Belajar Keterampilan Dasar Praktik Mahasiswa Kebidanan

Research on the Effect of Smart Educational Audio Visual Media (AVES) on Learning Outcomes of Basic Practice Skills for Midwifery Students, is a research on the development of teaching media designed to be the main supporting tool for learning basic midwifery practice in practicing clinical skills and improving student learning outcomes. Midwifery program education requires graduates to be skilled in carrying out their professional duties as skilled midwives and declared competent after they pass the national competency exam. The purpose of this study was to determine the effect of smart educational audio visual media (AVES) on learning outcomes of students' basic skills in midwifery practice. This research method uses an experimental method with the research design that will be used is a pre-experimental design type one group pretest-posttest design. The population in this study were all 87 students of midwifery class XIII and XIV. The sampling technique is non-probability sampling with a purposive sampling model, as many as 28 students. The results of this study are that the data obtained, that tcount = 2.310 &gt; ttable = 2.0555 with a significance of 0.029 &lt;0.05, then H0 is rejected and H1 is accepted. the researchers can conclude that there is a positive and significant influence between Smart Audio Visual Education Media on Learning Outcomes of Basic Skills Practice of Midwifery Students
Strategies for Resource Allocation in Cloud Computing Environment

Due to the convenience and scalability of its system, cloud computing technology is being used increasingly by business enterprises. For achieving the objectives of the cloud, an efficient and effective resource allocation strategy is required. Resource allocation strategies play a pivotal role in the cloud environment helping earn customer satisfaction and maximize the business’s profit. This chapter is an attempt to present some resource allocation strategies for optimum utilization of the cloud systems’ resources. For the cloud service provider intent on customer loyalty, the proposed strategies can have a surprise element of loyalty point scheme for customers entering into multiple contracts with the provider or one that takes into account loyal customers for one placing consecutive requests for resources helping the provider earn the customer’s loyalty. SLA is a vital element for the success of strategies as it helps in reducing penalty cost for any work delayed due to violation of SLA terms. The focus of the resource allocation strategies is to reduce request rejection rate, minimizing request response time, scalability and flexibility of the system, and optimizing cost and profit. The work aims to provide a structure for strengthening the cloud computing model and is hopeful about motivating future researchers to come up with smarter and secured optimal resource allocation algorithms and frameworks to strengthen the cloud computing paradigm.
AI-Based Voice Assistance Using AWS

Amazon Alexa is a voice-controlled pplication that is rapidly gaining popularity. In this paper user interactions with this technology, and focused on the types of tasks requested of Alexa, the variables that affect user behaviours with Alexa, and Alexa's alternatives. AI-based voice assistance using AWS is offering the users a way to acquire such competence. Particularly, we focus on developing skills for the Alexa assistant, as it is the most widespread. It’s open a new world, a world where the user can talk to a machine as if it were a human and the machine will perform the work you request. Ideally, such conversations should be solely between the user and the voice assistance. For the hands-free feature that the user raved about and the other for speech recognition and understanding which is one key feature of the Echo.
Antitamper Image Watermarking Based on Cellular Network Topology for IoT-Themed Mobile Forensics

The Internet of Things (IoT) connects physical and digital worlds with mobile devices, accompanied by a surge in cybersecurity issues. With the rapid adoption of mobile devices, mobile forensics emerges as a new interdisciplinary field that concerns many forms of sabotage and cybercrime in the context of mobile computing. One of the most common cyberattacks is tampering. Digital watermarking is a tamper-evident technique used to protect data integrity. In this paper, we present an antitamper image watermarking scheme designed for mobile communications with low computational cost. A reference matrix based on cellular network topology is introduced to guide the watermark embedding and extraction processes. This reference matrix serves as a lookup table to reduce computational complexity, thereby enabling efficient implementation on mobile devices. Our scheme is aimed at offering high accuracy in detecting and localizing tampered regions. We also achieve a high watermarking capacity while leaving the visual quality of the carrier images nearly unharmed. Experimental results validate the effectiveness of our scheme against various types of simulated forgery including cropping and copy/paste attacks.
한-불 동시통역 표현 단계에서 원문의 서술어 정보 처리에 대한 참여적 실행연구

This study, noting the possible differences that may exist in learners’ and professors’ perceptions in the course of learning interpretation, has explored the reasons as to why learners find it difficult to process predicate information of the source text during the reformulation stage of Korean-French simultaneous interpretation and the strategies and their effects in addressing the said reasons from the learners’ perspectives. To this end, a Participatory Action Research (PAR) with 8 learners joining throughout the entire process of the study from design to execution was performed. As a result, the study found three reasons as to why learners find it difficult to process predicate information of the ST when forming sentences in French. Moreover, learners in the study suggested themselves different strategies useful for overcoming the said problems, repeated the cycle of planning-acting-observing-reflecting, and ultimately identified 7 strategies. This study stresses the need to expand a participatory action research, ensuring participation, cooperation, and non-hierarchy, to T&I education as well.
Digital forensics in the context of cloud computing data storage services

The role and capabilities of digital forensics in the cloud computing environment still remain an unsolved and insufficiently explored scientific area. The growing popularity of cloud-based data storage services makes recovery of evidence on the Internet a major challenge for forensic IT exminers. Existing legal barriers in most cases prevent direct access to cloud stored resources for the purpose of recovering data. In many situations, assistance from foreign law enforcement and judicial authorities is required. Findings made during forensic IT analysis that allow reconstructing user’s activities and indicate the act of taking advantage of cloud computing data storage is a justification for undertaking international cooperation. Therefore, it is important to know potential sources of information that enable the reconstruction of the activity of the user in cloud computing services, as well as the awareness of the current state of knowledge and scientific research in this field.
LANGUAGE ENHANCEMENT ON READING SKILLS: A DEFICIT EMANATING FROM COVID 19 IMPROPER PRIMARY SCHOOLING CONTACT TIMES

Ponte Academic JournalOct 2021, Volume 77, Issue 10 LANGUAGE ENHANCEMENT ON READING SKILLS: A DEFICIT EMANATING FROM COVID 19 IMPROPER PRIMARY SCHOOLING CONTACT TIMESAuthor(s): Bulelwa MakenaJ. Ponte - Oct 2021 - Volume 77 - Issue 10 doi: 10.21506/j.ponte.2021.10.3 Abstract:Learners demonstrated difficulties when reading activities were conducted. The same learners displayed some difficulties when expected to pronounce simple English words. Reading seems to be an overwhelming task for most primary school learners, especially during times when they were expected to alternate attendance as categorised groups. This study explored how the recent format of schooling attendance in primary schools, due to COVID19 pandemic regulations, had an effect on English language development, particularly reading, as one of the major components underpinning language enhancement, furthermore, English being a foreign language for the learners in the schools investigated. A case study design used in this qualitative investigation helped the authors of this paper to study complex phenomena in relation to the problem explored. From the Eastern Cape Education district that was studied, conveniently selected five primary school teachers became participants of the study. Semi-structured interviews as data collection procedures revealed that restricted exposure to a wide range of reading resources when learners are denied access to attend schooling for some particular days, had the most effect on deteriorating reading enhancement in learners. As a way of concluding and recommending, language teachers have a task to ensure they supply all diverse users, this cohort being primary school learners, with all the necessary reading material for access even when out of school. By so doing, there would be an instilled culture of reading more so that well developed reading abilities are essential for learner success coupled with improved academic performance. \n \nKeywords: foreign language, reading, development, pandemic, teaching, contact time Download full text:Check if you have access through your login credentials or your institution Username Password
A Novel Compression Algorithm Based on Bio-Orthogonal Transform and Encoding Methods for Computed Tomography Images

Image compression is the processing of images by using Transform operations and Encoding techniques. Nowadays, there is an essential need of these methods in the medical field. This work is focused on the performance quality assessment of medical images using Image Compression Techniques. Image compression is the process of compression of an image in such a way that it has less space than the original image. It is an organization of compression technique that reduces the size of an image file without affecting its quality to a greater extent. The bio-orthogonal transform is used for decomposing the Lung images. After decomposition, different methods of encoding are performed and finally the proposed compression methods are evaluated for finding optimum algorithm for medical image.
Governance of cloud computing in the context of contractual management

Cloud computing has transformed the conventional computing model by allowing users to benefit from vast computing resources without owning them. Users can take maximum benefit from infrastructure, software and computing platform offered by dedicated service providers. This thesis focuses on Governance of cloud computing through contracts. Services are accompanied with a software or hardware such as internet of things (IoT) and smart items comes with certain terms and conditions that customers can proceed after choosing to agree to those terms. One of those contracts is click-wrap or click-and-wrap. In the context of this thesis, focused service customers are healthcare institutions, residential care facilities for senior citizens and Small and Medium Sized Enterprises (SMEs). Moreover, this thesis also highlights the importance of contracts in the context of data privacy and data integrity when it comes to handling sensitive user data in healthcare institutions and in regular businesses.
Data Streams Oriented Outlier Detection Method: A Fast Minimal Infrequent Pattern Mining

Outlier detection is a common method for analyzing data streams. In the existing outlier detection methods, most of methods compute distance of points to solve certain specific outlier detection problems. However, these methods are computationally expensive and cannot process data streams quickly. The outlier detection method based on pattern mining resolves the aforementioned issues, but the existing methods are inefficient and cannot meet requirements of quickly mining data streams. In order to improve the efficiency of the method, a new outlier detection method is proposed in this paper. First, a fast minimal infrequent pattern mining method is proposed to mine the minimal infrequent pattern from data streams. Second, an efficient outlier detection algorithm based on minimal infrequent pattern is proposed for detecting the outliers in the data streams by mining minimal infrequent pattern. The algorithm proposed in this paper is demonstrated by real telemetry data of a satellite in orbit. The experimental results show that the proposed method not only can be applied to satellite outlier detection, but also is superior to the existing methods.
Suspicious Object Detection

The public places such as schools, stadiums, museums, etc. lack proper safety systems as the available security systems (for ex., CT scanners) are expensive. Some violent people can cause serious damage by carrying dangerous liquids at public places. There is a need of less expensive and more effective system for such public places. This paper forth puts a new cost-effective method to detect the suspicious liquids by using an ultrasonic sensor. The basic concept is to use time taken by the ultrasonic wave to travel for classification. The dataset is created by capturing the values of time taken by ultrasonic wave for different liquids. The Linear Discriminant Analysis (LDA) algorithm is used for classification.
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School climate and the prevention of peer conflicts

School climate and students' interpersonal relations are mutually conditioned and linked. By preventing peer conflicts in school, climate in which culture of peace prevails and students are taught to be socially responsible is created. Peer mediation and student activism are a means of preventive work of school with the aim of developing positive interpersonal relations. With theoretical analysis of research and authors' views, we take into consideration the significance of these methods of preventing peer conflicts with which social and emotional competences develop, that is, we take into consideration the significance of preventive work of school with the aim of developing positive interpersonal relations. The role of school is to encourage students' cooperation and compromise, that is, peer mediation and activism.
LibGuides: Social Media: APA & MLA Citations

This guide provides resources pertaining to social media and its effect on society. It is primarily geared toward students who have selected Social Media as the topic for their research and writing assignments.
Research on the fusion method of virtual and real light field of holographic stereogram

Holographic stereogram opens up a new way for holographic 3D display of objects, and has high research value and significance in commercial, military and other aspects. In order to write real and virtual three-dimensional (3D) scenes in holographic stereogram at the same time, so as to achieve the display effect of augmented reality, a light field fusion method is proposed. The basic principle of light field fusion is introduced. The light field sampling is introduced and completed, and depth image based rendering (DIBR) algorithm is applied for regularization and densification of sampled images. The projection relationship of the light rays are analyzed, and the pixel level light field fusion is accomplished. Effective perspectives segmentation and mosaicking (EPISM) holographic stereogram printing method is used to write and reproduce the fused light field which further verifies the effectiveness of the proposed method.
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A Subexponential View of Domains in Session Types

Linear logic (LL) has inspired the design of many computational systems, offering reasoning techniques built on top of its meta-theory. Since its inception, several connections between concurrent systems and LL have emerged from different perspectives. In the last decade, the seminal work of Caires and Pfenning showed that formulas in LL can be interpreted as session types and processes in the pi-calculus as proof terms. This leads to a Curry-Howard interpretation where proof reductions in the cut-elimination procedure correspond to process reductions/interactions. The subexponentials in LL have also played an important role in concurrent systems since they can be interpreted in different ways, including timed, spatial and even epistemic modalities in distributed systems. In this paper we address the question: What is the meaning of the subexponentials from the point of view of a session type interpretation? Our answer is a pi-like process calculus where agents reside in locations/sites and they make it explicit how the communication among the different sites should happen. The design of this language relies completely on the proof theory of the subexponentials in LL, thus extending the Caires-Pfenning interpretation in an elegant way.
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A atuação multiprofissional na prevenção de lesões de pele

Objective: The objective was to prevent, identify and stratify possible skin lesions by tracing the risk profile of the patients and their needs, as well as the factors that influenced the onset of lesions, and which may be linked to the patient's clinical conditions or the nursing care directly. Result: The good practices implemented favored the management of better results, with evidence of effectiveness and adherence to prevention practices, cost reduction, in addition to the recognition and motivation of our professionals. In the second half of 2016, we had 58 reported skin injury events (average of 10 events / month); In 2017, we had 66 reported skin injury events (average of 06 events / month); and in 2018, we had 20 reported skin lesion events (average of 02 events / month), a result compared from 2016 to 2018, we had more than 80% drop in the number of events. Since 2017, this institution has gone through the certification process, and in April 2019 was recertified for developing best practices related to injury prevention receiving the Diamond category. Conclusion: Our experience made it possible to reduce 80% of skin injury events, which highlights the importance of the multiprofessional team in the evaluation, planning, prevention of skin lesions. We also noticed that the involvement of the patient and family in educational measures and in the elaboration of the care plan was of great relevance for the continuation of good practices after patient discharge.