Reviewerly/exHarmony huggingface dataset:
Application of augmented reality using neuro-navigation system for individualized brain tumor surgery

Background : With the recent development of augmented reality (AR) systems, it has become possible to implement three-dimensional (3D) images directly with a microscope using a navigation system. The authors would like to show how this AR system is used in brain tumor surgery. Materials and Methods : From November 2020 to August 2021, consecutive patients who underwent brain tumor surgery were enrolled in this study. Preoperatively, magnetic resonance imaging (MRI) was obtained using a 3-Tesla scanner. Surrounding significant structures were segmented from MRI. Segmented objects were stored as analyzed images and imported into the navigation system. During the operation, a neuro-navigation system and a microscope were linked and applied. Through the eyepiece of the microscope, segmented objects could be overlaid in AR format on the actual operative field. Results : Thirty-four cases were enrolled in the study. Patients comprised 19 male patients and 15 female patients. The median age was 60 years (range, 36-81 years); 11 cases were meningiomas, 10 cases were metastatic brain tumors, 8 cases were glioblastomas, 2 were hemangioblastomas, and there were 1 ependymoma, 1 giant pituitary adenoma, and 1 primary intracranial lymphoma. All cases were resected gross totally, except two cases (one glioblastoma, and one giant pituitary adenoma). There was no postoperative hemorrhage or infection. Conclusions : Brain tumor surgery using the AR system can increase the convenience of surgery by providing intuitive information to the surgeon. The AR system may become an invaluable tool in delivering safer care to brain tumor patients.
Research on Intelligent Business Collaboration System of Computer Cloud and Edge Computing

Affected by repeated discharges, the frequency modulation control deviation and voltage fundamental frequency fluctuate greatly in each area of the power system. For this reason, a power system coordinated control method based on source-grid-load-storage optimization is proposed. The model gives full play to the effect of frequency regulation to excavate the system's operational synergy ability to absorb uncertainty at the decision-making level, and effectively considers the unit's backup response process, so as to clarify for whom the backup is prepared, and to achieve a friendly connection between scheduling and control. The comparative analysis of the simulation results and the results of other solving methods shows that the algorithm can effectively take into account the global convergence and the diversity of Pareto non-inferior scheduling schemes, and has high efficiency and robustness.
Application of Association Rules in Telecommunication Network Fraud Cases

As a new form of fraud, telecom network fraud is characterized by remoteness and contactless. After collecting reports of telecom network fraud cases through the Internet and simulating the case datasets based on the report findings, this paper selects the datasets related to characteristics of the suspects for pre-processing and transformation, applies the association rule algorithm to telecom network fraud cases, and uses Apriori algorithm and FP-Growth algorithm to mine the valuable information of the characteristics of the suspects involved in telecom network fraud cases. By doing so, this paper discovers the association relationship between the characteristics of the suspects, and proposes relevant prevention suggestions on this basis to help combat telecom network fraud crimes.
Relative Modelling in Namescape Mapping: A New Re-presentational Approach for Spatializing Narratives

Onomastic sweeps can be effective in extracting lists of place-names from texts, but identification alone is insufficient to compile a true map of spatiality. Key inferential information is stripped away that situates a named place within a broad range of potential contextual states that are more than just a Boolean ‘inclusion’. Conventional geoparsing and onymic approaches necessarily treat every name as holding an equal status in a work, but this is not the case. Rather, a topologically led approach to mapping namescapes offers a more accurate means of re-presenting – and engaging with – the namescape for any text, no matter its relation to the real mappable world. As well as providing a neutral platform for comparing spatial priorities across any texts, no matter how disparate they may be stylistically. This proposed methodological reprioritization allows for a critical focus on the contextual role and relation between named entities, enabling detailed inquiries into the complex referential operation of names as inter- and intra-locative tokens. This article will use the opening chapter of Bram Stoker’s Dracula as a demonstrative exemplar to highlight both the semantic difficulties in identifying referential utilization and how a relation approach offers new interpretative and critical stylometric angles for literary analysis.
Characterizing the quantumness of mixed-state ensembles via the coherence of Gram matrix with generalized α-z-relative Rényi entropy

Abstract The Gram matrix of an ensemble of pure states can be regarded as a quantum state, and the quantumness of the ensemble can be quantified by the coherence of the Gram matrix. By using the affinity between mixed states, the concept of Gram matrix of pure-state ensembles can be extended to the one of mixed-state ensembles. By utilizing the generalized α - z -relative Rényi entropy of coherence of Gram matrices, we present a new quantifier of quantumness of mixed-sate ensembles and further reveal its peculiar properties. To illustrate our quantumness of mixed-sate ensembles, we also calculate the quantumness for some detailed mixed-sate ensembles by deriving their analytical formulae.
Noocephalization of the Modern Human in the Anthropogenic Urban Environment

This article demonstrates that, at present, the boundaries of artificial human environment (technosphere) have been rapidly expanding and the role of cities in the scientific, technical and socio-economic development of society has been growing. Today, cities have become development centres for the humanity, since it was in the anthropogenic urban environment that certain conditions started to form for enhancing brain function. This process is called noocephalization, which is expressed in the improvement and optimization of business and intellectual human activities. The author points out that it is in the urban environment that the transformational processes of urban technological and social globalization accelerate, which generates new human qualities, determined by the new social conditions of this environment. Further, the paper substantiates the key role of the anthropogenic urban environment in starting the process of noocephalization. Within the framework of the idea of urban cephalization of modern humans, the evolution of the brain according to М. Kaku is analysed and the concept of cellular autopoiesis by H.R. Maturana and F.J. Varela is discussed. In this regard, the role of preadaptation and integration processes in the course of noocephalization is considered. In the course of the study, the author comes to the conclusion that noocephalization is a general biological pattern and a universal philosophical category. In addition, the paper emphasizes that in the conditions of an anthropogenic urban environment, noocephalization in modern humans runs at an accelerated pace, parallel to globalization processes. Moreover, the author argues that noocephalization is a result of improving living matter and of the unity of human brain and conscious activity. The author specifically focuses on the phenomenon of bio-techno-social cephalization (according to G.S. Smirnov and D.G. Smirnov) implemented on the basis of neural networks of the brain and coevolution of the human and artificial minds. In conclusion, the paper highlights the importance of noocephalization of the modern human, which is of great scientific and humanitarian significance.
Genesis of Socially Useful Work in Soviet Schools of Yenisei Siberia in the 1920s: From Self-Service to Socialism Building

The aim of the study is to present a historical reconstruction of the genesis of socially useful work in Soviet schools of Yenisei Siberia in the 1920s. The paper reveals that such types of work as self-service (1920-1924), assistance to state organisations, villages and cities, cooperation (1925-1928), participation in sowing campaigns, collectivisation, in the work of city and village councils, in the elimination of illiteracy, in cultural campaigns (1929-1931) were common in the schools of the studied region. Scientific novelty lies in analysing and summarising the experience of organising schoolchildren’s socially useful work in Yenisei Siberia in the 1920s. As a result of the study, the researcher has identified three stages of the genesis of schoolchildren’s socially useful work: self-service (1920-1924), the extension of various types of work beyond school life (1925-1928), types of work being determined by the objectives of socialism building (1929-1931).
Seascape: a due-diligence framework for algorithm acquisition

Any program tasked with the evaluation and acquisition of algorithms for use in deployed scenarios must have an impartial, repeatable, and auditable means of benchmarking both candidate and fielded algorithms. Success in this endeavor requires a body of representative sensor data, data labels indicating the proper algorithmic response to the data as adjudicated by subject matter experts, a means of executing algorithms under review against the data, and the ability to automatically score and report algorithm performance. Each of these capabilities should be constructed in support of program and mission goals. By curating and maintaining data, labels, tests, and scoring methodology, a program can understand and continually improve the relationship between benchmarked and fielded performance of acquired algorithms. A system supporting these program needs, deployed in an environment with sufficient computational power and necessary security controls is a powerful tool for ensuring due diligence in evaluation and acquisition of mission critical algorithms. This paper describes the Seascape system and its place in such a process.
High-stake conditions to catalyse local sustainable development through Fablabs in Africa

The chapter argues that a technology cannot be fully appropriated if it is not decolonized. Looking into the maker movement, the author specifically explores the creation of Fablabs and their development in Africa to define the conditions of innovation and technology appropriation. So-called techno-coloniality can manifest itself through the coloniality of knowledge, technology transfer, techno-utopian discourse and neo-capitalist practices. It is required that digital technologies contribute to sustainable local development through the pursuit of cognitive justice, inclusion, empowerment, decoloniality, collaboration with the informal sector and commons-based governance. The chapter attempts to define appropriate technologies from a decolonial perspective as not part of the logic of techno-coloniality, but with clear local societal purpose and contributions.
How to Digitalize Green LNG and Value Carbon-Neutral LNG Cargos with Blockchain Technology and Digital Assets

Abstract In this paper we present our Blockchain-based solution to digitalize green LNG (liquefied natural gas); how with our digital asset, we create the differentiated-product carbon-neutrality LNG, leveraging innovation carbon-neutral business models in the natural gas eco-system. We design digital twins to represent a certain volume of non-fungible gas. We track the digital twin of a molecule, tagged with metadata. The purpose of our technical development is to create a "digital asset" (DA); a virtual representation of a volume of LNG associated with a specific LNG cargo, reflecting specific green attributes. The DA can be split into phases, corresponding to LNG supply chain steps, to represent a specific volume of GHG emitted. Our model incorporates the possibility for LNG stakeholders to offset and compensate GHG emitted they are directly/indirectly responsible for and/or accountable for. Additionally, LNG Stakeholders can interact on a specific volume (parceled), differentiating the same molecules of gas (fungible) with specific green attributes (non-fungible). We developed innovative digital assets’ features: – Fractionable (dividable digital asset, for a specific volume of LNG); – Transferable (change of ownership, for traceability along all value chain); – Transactional &amp; Valuable (a Premium offers with evidence of low emission); and, Stackable (rewards mechanisms). This permits to provide a life-time value oriented service in a dynamic multi-actors model, to incentivize sustainable LNG with a premium, and value non-tangible assets. Lastly, we programmed a redistribution mechanism, governed by smart contracts, to transfer collected fees (value pool) to local communities, triggering positive impacts; contributing to UN SDGs achievement. Our Blockchain solution aims to establish a single origin of truth to provide LNG buyers and sellers with a decentralized interoperable view of carbon-neutral LNG cargoes; offering new capabilities to tackle issues LNG players are dealing with: clear delineation, silos approach (vs. collaborative), authoritative single source of information, data transparency, identified legitimate users, added-value generation; premium (attached / detached) in case of re-export, co-purchasing, borrowing &amp; lending; and attribution of benefits of auditable emission intensities, including to big industrial gas consumers. LNG players can help entities meet their net-zero commitments by sourcing green LNG; supporting companies for their green/carbon neutral initiatives throughout the whole supply chain.
Quality assuring the quality assurance tool: applying safety-critical concepts to test framework development

The quality of embedded systems is demonstrated by the performed tests. The quality of such tests is often dependent on the quality of one or more testing tools, especially in automated testing. Test automation is also central to the success of agile development. It is thus critical to ensure the quality of testing tools. This work explores how industries with agile processes can learn from safety-critical system development with regards to the quality assurance of the test framework development. Safety-critical systems typically need adherence to safety standards that often suggests substantial upfront documentation, plans and a long-term perspective on several development aspects. In contrast, agile approaches focus on quick adaptation, evolving software and incremental deliveries. This article identifies several approaches of quality assurance of software development tools in functional safety development and agile development. The extracted approaches are further analyzed and processed into candidate solutions, i.e. , principles and practices for the test framework quality assurance applicable in an industrial context. An industrial focus group with experienced practitioners further validated the candidate solutions through moderated group discussions. The two main contributions from this study are: (i) 48 approaches and 25 derived candidate solutions for test framework quality assurance in four categories (development, analysis, run-time measures, and validation and verification) with related insights, e.g. , a test framework should be perceived as a tool-chain and not a single tool, (ii) the perceived value of the candidate solutions in industry as collected from the focus group.
The Impact of Digital Transactions on Employees' Performance at University of Hail

This study aims at investigating the impact digital transactions on employees’ performance at the university of Hail in Saudi Arabia. The main purpose of the study is to investigate the impact of adoption a digitalized work system by administrators at University of Hail in increasing employees' performance. Descriptive analytical approach was implemented using survey questionnaire. The sample of the study consisted of (200) male and female administrators selected using simple random sampling procedure. The result showed that there is a significant correlation between the implementation degree of digital transactions at University of Hail and employees' performance. In light of the results, the following recommendations were suggested:-University of Hail needs to take more consideration to capitalizing the advantages of using digital transactions as one of the major variables having a positive impact on employees' performance.-Keeping abreast with new technological advances in digital transaction is a must if higher education institutions wish to be well informed about the changes worldwide.-Engaging employees in the implementation of digital transactions in the various deanships, administrations and departments at University of Hail ensures a full adoption of such a modern technology, which will, in turn, have a positive impact on employees' performance.
Incorporating English Skills in Blended Learning During the COVID-19 Pandemic: A Narrative Inquiry

The present study mainly attempts to explore the experiences of the two English language lecturers in incorporating English skills in blended learning during the COVID-19 pandemic and its effects on teaching professionalism considering that few studies discuss the ways of incorporating English skills in blended learning in more detail. To investigate the lecturers’ experiences, a narrative inquiry was employed in this study. Data were collected through narrative interviews with two English language lecturers at one of the Indonesian higher educations. The findings reveal that blended learning can be a better solution for learning activities amidst the COVID-19 pandemic. Regarding English skills incorporation in blended learning, it was found that the English lecturers used a number of ways of teaching English. First, creating a fun class in blended learning by using some applications like YouTube, video, Instagram, Facebook, and others in incorporating English skills. Second, asking students to have presentations and explain the materials. Third, reviewing books or observing videos. Fourth, providing games in the EFL classroom. Fifth, making use of digital technology and application in teaching English in blended learning such as Kahoot, Quizzes, Google Workspace, Jam board, Pear deck, and so on. Finally, the English lecturers are interested in making use of blended learning in incorporating English skills, particularly during this pandemic. Further, they intend to provide suitable materials for blended learning in EFL classrooms. The findings of this study have offered the need of developing professionalism among the English lecturers in implementing blended learning that can be realized by taking part in training on the application of blended learning and providing appropriate English materials in incorporating English skills for creating meaningful and successful learnings.
Online Booking Application for Long-Distance Train Ticket Adapted to the Covid-19 Protocol

Train is favorite transportation in Indonesia. The increase in the number of passengers from year to year is proof that rail transportation supports community mobility. Therefore, services are needed to accommodate the needs of the community in ordering train tickets. Currently, the train ticket booking system can be done offline or online. Especially for the online train ticket booking system, there are still some obstacles i.e., during the Covid-19 pandemic, a train ticket booking information system is also needed which must be adjusted to health protocols to minimize the spread of Covid-19 during travel by train, starting from the ticket booking process. The system development methodology used is Scrum, this methodology is a framework that applies the stages of planning, analysis, design and implementation to build or develop software where work is divided into time frames called sprints. The long-distance train ticket booking application has been able to minimize the accumulation of passengers in exchanging tickets at the train station platform.
MixNN: A Design for Protecting Deep Learning Models

In this paper, we propose a novel design, called MixNN, for protecting deep learning model structure and parameters since the model consists of several layers and each layer contains its own structure and parameters. The layers in a deep learning model of MixNN are fully decentralized. It hides communication address, layer parameters and operations, and forward as well as backward message flows among non-adjacent layers using the ideas from mix networks. MixNN has the following advantages: (i) an adversary cannot fully control all layers of a model, including the structure and parameters; (ii) even some layers may collude but they cannot tamper with other honest layers; (iii) model privacy is preserved in the training phase. We provide detailed descriptions for deployment. In one classification experiment, we compared a neural network deployed in a virtual machine with the same one using the MixNN design on the AWS EC2. The result shows that our MixNN retains less than 0.001 difference in terms of classification accuracy, while the whole running time of MixNN is about 7.5 times slower than the one running on a single virtual machine.
Waking up to the encryption advantage

Computer Fraud & SecurityVol. 2022, No. 10 The SandboxWaking up to the encryption advantageJon FieldingJon FieldingApricornSearch for more papers by this authorJon FieldingPublished Online:29 Oct 2022https://doi.org/10.12968/S1361-3723(22)70594-5AboutSectionsView articleView Full TextView EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareShare onFacebookTwitterLinked InEmail View article References 1. ‘2022 IT Security Survey Results’. Apricorn. Accessed Oct 2022. https://apricorn.com/2022-it-security-survey-results. Google Scholar2. ‘Almost half of UK organisations now encrypt all data, according to annual Apricorn survey’. UK Tech News, 30 Jun 2022. Accessed Oct 2022. https://uktechnews.co.uk/2022/06/30/almost-half-of-uk-organisations-now-encrypt-all-data-according-to-annual-apricorn-survey/. Google Scholar3. ‘Not all encrypted drives are created equal’. Apricorn, 28 Oct 2019. Accessed Oct 2022. https://apricorn.com/blog/not-all-encrypted-drives-are-created-equal-b7af03/. Google Scholar4. ‘The importance of data encryption’. Apricorn, 28 Oct 2019. Accessed Oct 2022. https://apricorn.com/blog/the-importance-of-data-encryption-342d2e/. Google Scholar FiguresReferencesRelatedDetails 1 October 2022Volume 2022Issue 10ISSN (print): 1361-3723ISSN (online): 1873-7056 Metrics History Published online 29 October 2022 Published in print 1 October 2022 Information© MA Business Ltd.
Multimodal Architecture for Emotion Prediction in Videos Using Ensemble Learning

Systems for the collection of user-generated videos and automatic analysis of these are expanding rapidly day by day in smart industries. In this chapter, we are going to predict emotions carried by the videos, for example, joy, sadness, etc. We begin by presenting a carefully designed dataset with manual annotations that was gathered from a major video-sharing website and can be used as a foundation for new study. This dataset provides a wide number of features, ranging from audio characteristics to images to high-level semantic properties. Convolution neural networks (CNNs) are used for emotion recognition in an image and Support Vector Machine (SVM) and Multi-Layer Perceptron (MLP) are being used to extract audio data. Both the emotion outputs from frames of video and audio are combined together by using ensemble learning. The primary focus is on the investigation of multimodal architecture for emotion transaction analysis in smart industries, which can predict emotions in a video.