Reviewerly/exHarmony huggingface dataset:
HS2 east leg scrapped in Integrated Rail Plan

The EngineerVol. 302, No. 7932 NEWSHS2 east leg scrapped in Integrated Rail PlanMELISSA BRADSHAWMELISSA BRADSHAWSearch for more papers by this authorMELISSA BRADSHAWPublished Online:30 Sep 2022https://doi.org/10.12968/S0013-7758(22)90314-9AboutSectionsView articleView Full TextPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareShare onFacebookTwitterLinked InEmail View article FiguresReferencesRelatedDetails 1 January 2022Volume 302Issue 7932ISSN (print): 0013-7758ISSN (online): 2753-7145 Metrics History Published online 30 September 2022 Published in print 1 January 2022 Information© MA Business Ltd.PDF download
Robotic solution to aid nuclear decommissioning

Sussex team to develop robotic manipulator to help clean-up Fukushima
MARKETING APPROACH TO MANAGING THE DIGITAL REPUTATION OF AN EDUCATIONAL ORGANIZATION

The purpose of the article is to reveal the essence and features of digital reputation management of an educational organization based on a marketing approach. The paper identifies the main groups of factors for the formation of the reputation of a higher educational institution, structures the theoretical aspects of the formation of the digital reputation of an educational organization, forms a model of the marketing management system of the digital reputation of the university, proposes a model of the management cycle of work with the digital reputation of a higher educational institution, analyzes the practice of the formation of the digital reputation of the university on a concrete example.
Differentially Private Synthesis and Sharing of Network Data via Bayesian Exponential Random Graph Models.

information significantly better than two other approaches in network structural statistics and inference for ERGMs and latent space models. Furthermore, DP-ERGM satisfies node DP through modeling the global network structure with ERGM, a stronger notion of privacy than the edge DP under which DWRR and SCEA operate.
PERILAKU DAN KETERTARIKAN MASYARAKAT TERHADAP PENGGUNAAN JASA EVENT ORGANIZER

The purpose of this research is to clarify people behaviour and their enthusiasm towards event organiser service. Researcher will be using both quantitative and qualitative for the research methods. Which, researcher will distribute 114 survey inquiries as the quantitative method and interviewing clients as the qualitative method. The survey inquiries will be used by the researcher to discover people’s enthusiasm towards event organiser service. The survey result will be the first step for the researcher to confirm, what is event organiser in people’s perspective and what makes people feel enthusiastic when they are using event organiser service. The hypothesis of this research is people that feel enthusiastic towards the usage of event organiser service. &#x0D; Keyword : People Behaviour, People Enthusiasm, Event Organiser
<b>Defining trends</b>

The EngineerVol. 302, No. 7926 EDITOR'S COMMENTDefining trendsJON EXCELLJON EXCELLSearch for more papers by this authorJON EXCELLPublished Online:30 Sep 2022https://doi.org/10.12968/S0013-7758(22)90161-8AboutSectionsView articleView Full TextPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareShare onFacebookTwitterLinked InEmail View article FiguresReferencesRelatedDetails 1 April 2021Volume 302Issue 7926ISSN (print): 0013-7758ISSN (online): 2753-7145 Metrics History Published online 30 September 2022 Published in print 1 April 2021 Information© MA Business Ltd.PDF download
Peningkatan Pemahaman Mahasiswa dalam Penulisan Karya Ilmiah Melalui Kegiatan Menulis Skripsi Itu Mudah

Writing scientific papers for undergraduate students in the form of a thesis, it is often difficult to understand the rules of writing. This was confirmed by the survey at the beginning of the activity. The purpose of this activity is that there is an increase in the student participating in the writing of thesis scientific papers. The method used in this activity is a series of workshops during August-October 2020. The workshops are conducted interactively online through a zoom meeting. After providing materials and simulations through workshops, the activity was continued with individual consultation and mentoring through the WhatsApp group. The training participants consisted of 99 students in the First Series, then 70 students in the Second Series. Workshop participants come from various campuses. To find out the impact of the activity, at the end of the activity an online survey was conducted. In general, the participants felt helped by the activity of this workshop. However, because the speakers has a social and humanities background, participants from the technology science family are not specifically served
PEMBUATAN KARAKTER VIRTUAL SEBAGAI PEMANDU DALAM KONTEN VIDEO TUTORIAL MENGGAMBAR

Drawing tutorial become a necessity for people who learn to draw. Drawing tutorial videos can be accessed via YouTube. On the other hand, virtual youtuber become a global trend including in Indonesia where dozens of virtual youtuber channels are popping up. Through this study, researcher designed virtual character which will guide the audiences through drawing tutorial videos on a YouTube channel. The purposes of this study are to find out how to design a virtual character and drawing tutorial which will attract the audiences and to take viewers response to the virtual characters as a guide for drawing tutorial. The research methods used in this study are qualitative and quantitative method. The approaches is carried out by spreading questionnaires, interviewing expert and extreme users and observing competitor. &#x0D; Keyword : virtual youtuber, virtual character, drawing tutorial
Why has the UK Still not Got a Covid-19 Contact Tracing App?

The UK’s lack of a contact tracing app marks a spectacular failure in our ability to deploy existing technology. So who’s to blame, asks Jon Excell?
HEAVY HAUL FOR HYDROGEN

The EngineerVol. 300, No. 7915 NEWSHEAVY HAUL FOR HYDROGENJASON FORDJASON FORDSearch for more papers by this authorJASON FORDPublished Online:30 Sep 2022https://doi.org/10.12968/S0013-7758(22)90245-4AboutSectionsView articleView Full TextPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareShare onFacebookTwitterLinked InEmail View article FiguresReferencesRelatedDetails 1 March 2020Volume 300Issue 7915ISSN (print): 0013-7758ISSN (online): 2753-7145 Metrics History Published online 30 September 2022 Published in print 1 March 2020 Information© MA Business Ltd.PDF download
Q&amp;A: HELPING HANDS

Experts from ABB, Festo, Fanuc and Universal Robots offer their perspectives on the fast-moving field of cobotics
Peran Digital Retouching Pada Iklan Dalam Peningkatan Brand Image dan Brand Attitude Suatu Brand

This study aims to determine the role of digital retouching in advertising in improving the brand image and brand attitude of a brand. To find out, research will be conducted based on primary data in the form of interviews with expert users and extreme users. Secondary data retrieval is also held by collecting data from various books, journals and websites that contain advertising theory, the influence of brand image and brand attitude on brands, consumer behavior, marketing communication through visual design and psychology of advertising. The results of the study concluded that digital retouching can increase the brand image and brand attitude of a brand.
Pengaruh Seni Digital Painting Kepada Start Up Business Sebagai Visual Brand

The art of digital painting has a function as a form of visual representation from ideas and design that has been made by the artist. Nowadays, digital painting still be considered by the people as a visual art only used as an entertainment needed such as novel cover, Trading Card Game, animation, and others. Even tough, the definition of art can be used as a visual means that visualizing ideas and impression from the artist and from other people, apart from its needed for entertainment industry only. The purpose of this research is to find the effect of digital painting art as a visual brand of businesses from many industries to deliver the ideas, impression, and experiences from the brand to target market. Qualitative research methods are done by interviewing expert users and partners or extreme users, supported by doing observation to competitors and literation studies. The result of this research is digital painting can be implemented in any form, from merchandise as a brand’s promotion tools, to visual form like mascot, second element, or Intellectual Property.
Causation

Causation needs to be proven after an association is shown. Aspects of causation in observational studies are discussed.
Sparse tree-based clustering of microbiome data to characterize microbiome heterogeneity in pancreatic cancer

Abstract There is a keen interest in characterizing variation in the microbiome across cancer patients, given increasing evidence of its important role in determining treatment outcomes. Here our goal is to discover subgroups of patients with similar microbiome profiles. We propose a novel unsupervised clustering approach in the Bayesian framework that innovates over existing model-based clustering approaches, such as the Dirichlet multinomial mixture model, in three key respects: we incorporate feature selection, learn the appropriate number of clusters from the data, and integrate information on the tree structure relating the observed features. We compare the performance of our proposed method to existing methods on simulated data designed to mimic real microbiome data. We then illustrate results obtained for our motivating dataset, a clinical study aimed at characterizing the tumour microbiome of pancreatic cancer patients.
Research on Two-Way Human Resource Recommendation Method Considering User Privacy

Traditional two-way human resource recommendation method has the problem of incomplete data anonymous process, which leads to low recommendation accuracy.Therefore, a two-way human resource recommendation method considering user privacy is designed.Collect recruitment information from human resources big data, and convert file formats in batches.We vectorizing each piece of information, build user privacy protection model, calculate entropy redundancy of data attribute value, optimize data anonymous process, calculate similarity between users according to preference score, and set two-way recommendation mode of human resources.Experimental results: The average recommendation accuracy of the two-way human resource recommendation method in this paper and the other two two-way human resource recommendation methods are 55.645%, 48.363% and 48.267% respectively, indicating that the two-way human resource recommendation method has a wider application scope on the basis of combining user privacy.
A Research on the Management of Fake Reviews of E-commerce Platforms

The existence of fake reviews on online platforms has always plagued the platforms and relevant departments.This paper establishes a mathematical model for fake reviews on e-commerce platforms, and explores how to manage fake reviews scientifically and effectively by exploring the impact of fake review punishment on consumer surplus and social welfare.The results show that regulators should implement different punishment strategies depending on the type of product.For searching products, the lower penalties will increase both consumer surplus and social welfare; while for experiencing products, the higher penalties can increase both consumer surplus and social welfare.
Research on Military Nuclear Safety Knowledge Management Mode Based on Big Data

Knowledge management and nuclear safety culture are naturally linked.Many institutions and scholars have done a lot of research on nuclear safety knowledge management.However, under the condition of big data, military nuclear safety knowledge management still faces many challenges.Through literature review and case analysis, combined with the development of big data technology and knowledge management, the military nuclear safety knowledge management model based on big data can be built from the aspects of big data collection and storage, data mining and knowledge discovery, knowledge exchange and sharing, continuous improvement of management means, evaluation and feedback, which can achieve a virtuous circle of military nuclear safety knowledge in the field or organization.
Research on Ideological and Political Teaching Reform of Electronic Technology Courses in Vocational and Technical Education Based on CDIO Concept

Starting from the actual situation of Ideological and political teaching of electronic technology courses and based on the CDIO Engineering Education Concept, this paper deeply excavates the ideological and political elements in the theoretical teaching and practical links, constructs the curriculum ideological and political teaching mode, integrates the curriculum ideological and political elements into every link of teaching, summarizes the specific methods of the implementation of curriculum ideological and political teaching, explores the reform path of Ideological and political teaching of electronic technology courses, and realizes value guidance, knowledge education The organic unity of ability training.
A Smart Online and Offline Synchronization Teaching Mode Based on the Rain Classroom Software

Smart teaching environment is constructed by many intelligent teaching platforms.From the perspective of technical architecture, these platforms can be divided into user layer, terminal layer, application layer, platform layer and network layer.After constructing the basic environment of intelligent teaching environment, it is necessary to select the appropriate application layer teaching software according to the needs of students and the characteristics of course teaching.Therefore, from the perspective of College English teaching, this paper deeply analyzes the application of application layer software in traditional teaching and intelligent teaching environment.Because some students need to take classes in different places during the COVID-19 epidemic period, an online and offline synchronous hybrid teaching mode is designed.In order to demonstrate the specific application of this model, taking College English teaching as an example, a teacher-student interaction process with the Rain Classroom software as the core is designed in three stages: "pre class", "during class" and "after class".In addition, it analyzes the defects of using Rain Classroom + Tencent Meeting as the smart teaching software platform, as well as the follow-up improvement strategies.
The evolution of a lexicon for Sustainable Acoustics

Articulating how sustainability and acoustics fit together has been a challenge, with acoustics facing the image problem that it can't solve climate change or global overcrowding of the planet, creating a perceived lack of importance in the big picture. This paper focuses on understanding the ubiquitous nature of acoustics is central to a sustainable future, relying heavily on acoustics solutions as a tool to tackle problems faced by humanity on land, air, water. Sound has provided humanity's first early warning system and listening from space is an example of exactly how acoustics can do more in its many areas of influence, when considering healthy cities, natural capital and the need to monitor and adapt to extreme events. Lindsay's Wheel has served acoustics well, explaining how such a broad field connects up, but is in isolation from the central existential threats humanity now faces in climate change and determining what sustainable living for humanity means for the future. To evolve and expand the understanding of how acoustics can help deliver sustainable outcomes a new version of the lexicon is proposed, intended to aid the paradigm shift and acceleration needed of acousticians to engage in the local and global solutions needed.
Pubblicazioni scientifiche e crediti ECM

To achieve continuing medical education (CME) objectives, credits can be acquired with activities not provided by providers, such as self-training or scientific research. Self-training activity means reading scientific journals, book chapters and monographs not accredited as CME training events, which is declared by self-certification of the time commitment. In addition, healthcare professionals who are authors of scientific publications accrue credits for each publication. Both activities must be declared on the personal Cogeaps profile. We detail here the purposes and procedures of the publication activity for CME purposes.
Automatic Shadow Generation via Exposure Fusion

Shadow generation aims to generate a plausible shadow for the inserted foreground object in a composite image. Besides the composite image and the associated mask of the inserted foreground object, existing methods also require a mask of all background objects as well as their shadows as an auxiliary input, which is laborious in practical applications. Meanwhile, most existing methods use a linear illumination transformation to darken the shadow region, which is prone to produce unrealistic shadows especially when background illumination is complex. To address these problems, this paper proposes an automatic shadow generation method, which avoids the laborious acquisition of the background object masks while harmonizing the shadow region to achieve plausible shadow effects. Specifically, to implicitly exploit background illumination to infer the shadow shape of the inserted foreground object, we first propose a Hierarchy Attention U-Net (HAU-Net) to sequentially build global interactions between the foreground object and background across spatial and channel dimensions. Since the spatial-variant property of the shadow, we formulate shadow harmonization as an exposure fusion problem and propose an Illumination-Aware Fusion Network (IFNet), which uses an improved illumination model with a double linear transformation to produce multiple under-exposure images of the shadow region. IFNet then learns pixel-wise fusion kernels that consider the local smoothness of the shadow to fuse the composite image with these under-exposure images to generate the realistic shadow of the foreground object. Extensive experiments on the DESOBA and Shadow-AR datasets demonstrate that our method achieves state-of-the-art performance for shadow generation on both the BOS and BOS-free test images.
Israeli expose sharpens scrutiny of dark tech services

Headline INT: Israeli expose sharpens scrutiny of dark tech
Video Action Recognition by Combining Spatial-Temporal Cues with Graph Convolutional Networks

Video action recognition relies heavily on the way spatio-temporal cues are combined in order to enhance recognition accuracy. This issue can be addressed with explicit modeling of interactions among objects within or between videos, such as the graph neural network, which has been shown to accurately model and represent complicated spatial- temporal object relations for video action classification. However, the visual objects in the video are diversified, whereas the nodes in the graphs are fixed. This may result in information overload or loss if the visual objects are too redundant or insufficient for graph construction. Segment level graph convolutional networks (SLGCNs) are proposed as a method for recognizing actions in videos. The SLGCN consists of a segment-level spatial graph and a segment-level temporal graph, both of which are capable of simultaneously processing spatial and temporal information. Specifically, the segment-level spatial graph and the segment-level temporal graph are constructed using 2D and 3D CNNs to extract appearance and motion features from video segments. Graph convolutions are applied in order to obtain informative segment-level spatial-temporal features. A variety of challenging video datasets, such as EPIC-Kitchens, FCVID, HMDB51 and UCF101, are used to evaluate our method. In experiments, it is demonstrated that the SLGCN can achieve performance comparable to the state-of-the-art models in terms of obtaining spatial-temporal features.
Quadratic Dragonfly Algorithm for Numerical Optimization and Travelling Salesman Problem

Dragonfly algorithm (DA) is swarm optimisation technique which imitates the forging and swarming behaviour of dragonflies. Despite the popularity of nature inspired (NI) algorithm, there are still certain areas and disputes that desire further study. Second, the lack of a meticulous mathematical approach for analysing such techniques, a crucial domain of study is parameter tuning and parameter control. However, its challenging to tune or control parameters and its still unsolved. Simultaneously, its tough to attain a fine symmetry between exploration and exploitation. As the basic review of DA has shown the limitations like overflowing of search space [1], increased convergence time [2], trapping into local optima, high exploration and low exploitation, and difficulty in optimising complex problems. A quadratic dragonfly algorithm (QDA) is introduced to overcome the limitations of traditional dragonfly algorithm. It impacts the swarming behaviour of dragonfly which can curdle towards exploration and exploitation in faster pace when compared to basic dragonfly algorithm. The enactment of the proposed technique is scrutinised on the comprehensive set of CEC-C06 2019 [3] benchmark functions. The efficiency of QDA was also evaluated on real-world application: travelling salesman problem and the outcomes are analysed with well-known metaheuristic algorithms.
MACH 2024 to be the Most Sustainable Edition Ever

The Manufacturing Technologies Association (MTA) held a press launch for MACH 2024 at the Satellite Catapult in Harwell. The event takes place from the 15-19 April at the Birmingham NEC
Experimental study of the effects of the long chimney of a closed tonehole on the sound of a bassoon

The bassoon has side holes a few tens of millimeters long, much longer than in other woodwinds. When they are closed, the "quarter-wave" resonances of these "chimneys" create short circuits in parallel with the bore. At these resonance frequencies, near 2 kHz-within the sensitive range of hearing-it is expected that the waves will not propagate beyond the chimney, affecting both the input impedance and the radiated sound. Using parametric studies with varying chimney lengths, these effects on impedance and radiated sound are measured for a French bassoon and a simplified conical model instrument. The effects are clear on the model instrument, especially when several chimneys have equal length. For the bassoon, the passive filter effect remains, but its importance in the sound is blurred due to changes in the oscillation regime and in the directivity, as simulations confirmed. The effect is audible under laboratory conditions, but on the same order of magnitude as the spatial level variations due to the directivity. It is, therefore, unlikely that the difference in timbre between the French and the German bassoon is mainly due to longer tonehole chimneys.