Reviewerly/exHarmony huggingface dataset:
CEA++'22

The International Workshop on Multimedia for Cooking, Eating, and related APPlications is the successor of the former CEA workshop series. The former CEA series started in 2009. 13 years later, we are witnessing various food-related applications enabled by emerging deep learning technologies and related hardware. Based on such a background, the organizing committee of CEA decided to renew the workshop and extend the scope to accept broader topics, especially industrial applications.
Interact with Open Scenes: A Life-long Evolution Framework for Interactive Segmentation Models

Existing interactive segmentation methods mainly focus on optimizing user interacting strategies, as well as making better use of clicks provided by users. However, the intention of the interactive segmentation model is to obtain high-quality masks with limited user interactions, which are supposed to be applied to unlabeled new images. But most existing methods overlooked the generalization ability of their models when witnessing new target scenes. To overcome this problem, we propose a life-long evolution framework for interactive models in this paper, which provides a possible solution for dealing with dynamic target scenes with one single model. Given several target scenes and an initial model trained with labels on the limited closed dataset, our framework arranges sequentially evolution steps on each target set. Specifically, we propose an interactive-prototype module to generate and refine pseudo masks, and apply a feature alignment module in order to adapt the model to a new target scene and keep the performance on previous images at the same time. All evolution steps above do not require ground truth labels as supervision. We conduct thorough experiments on PASCAL VOC, Cityscapes, and COCO datasets, demonstrating the effectiveness of our framework in solving new target datasets and maintaining performance on previous scenes at the same time.
FEATURES OF THE USE OF AR TECHNOLOGIES IN THE FURNITURE BUSINESS

Digitalization has become the main catalyst for the development of all sectors of the economy of developed countries. The rapid growth of social networks has allowed the manufacturer to contact its consumer without intermediaries represented by large retailers. Internet commerce development trends consider AR and VR technologies as the most promising. In the Russian Federation, the AR/VR market, according to experts, by 2023 may increase by 11.7 times with an average annual growth rate of 85%. As a result of the analysis, the main problems of the AR market focused on the furniture segment were identified: determining the factors influencing the purchase of furniture using AR technology; features of the tools used; creation of a specialized work algorithm, as well as evaluation criteria. Based on the analysis of foreign and domestic applications using AR technologies, the author corrected the previously developed factors affecting purchases in online stores and added new ones as a result of the study. An algorithm for the operation of a furniture application using AR technologies has been developed. The stages of implementation of the author's algorithm were given, indicating the options for the software used. Variants of technical devices for the implementation of software solutions are proposed. A groundwork has been left for further research with subsequent testing at retail outlets of furniture organizations such as Angstrem, Somovo-Mebel, Furniture of the Chernozem Region, Lazurit, Stolplit.
Localization of Calcifications in Mammograms Using CNN with GAP Layer

Breast cancer is the most often diagnosed cancer in women around the world, accounting for one out of every four cancer cases. When breast cancer is identified early and treatment is available, the survival rate is extremely high. It is vital to enhance access to early detection to combat the rising breast cancer burden. With technological innovations in recent decades, the healthcare sector has undergone a huge transformation. The detection of abnormalities is aided with the image pre-processing techniques, namely Median filter and CLAHE (contrast limited adaptive histogram equalization). This paper describes an automated model for localization of calcifications in mammograms using CNN with Global Average Pooling layers. Our method will help physicians in determining the lesions of the breast. The model is not just restricted to x-ray mammograms but can be used also for other medical images.
Spatial Cognition in Adults

This chapter focuses on how investigations and findings that relate to each of these themes have brought us closer to the goal of achieving a comprehensive theory of spatial cognition and to an understanding of how spatial cognition may be organized in the brain. A careful and complete characterization of behavioral dysfunction is often a first step in establishing the relation between a particular brain area and the role that area may normally play in behavior. A complete theory which will permit an understanding of spatial cognition will require explanation at all levels of analysis: behavioral, anatomic and neurobiological. Shepard provides a cognitive psychological framework for one aspect of spatial cognition. Because his work is based on experiments in normal adults his approach necessarily focuses on characterizations of normal spatial function. There is a difference in emphasis in regard to the neuroanatomic correlates of specific spatial functions.
The CLARIN Language Resource Switchboard

The CLARIN Language Resource Switchboard helps users to identify and kick-start tools that can process their research data in one way or another.In the last few years, the Switchboard has developed into a central pillar of the CLARIN community.This chapter discusses its central idea, gives an up-todate summary of its current status and usage, discusses the Switchboard's impact within and beyond the community, and proposes a roadmap for future development.
Unsupervised and Adaptive Perimeter Intrusion Detector

Perimeter intrusion detection (PID) deals with the detection of intruders displacing in a protected perimeter. In the video surveillance domain, deep learning has shown tremendous progresses. Existing deep learning based PID systems (PIDS) are supervised and thus require a lot of annotated data. However, since intrusions are rare events, there are very few positives in datasets, thus making them highly imbalanced. Furthermore, a PIDS must adapt to varying real-life scene dynamics, like weather, light, environmental conditions, etc. To address these issues, we propose an autoencoder-based, end-to-end trainable, unsupervised PIDS with a module that can adapt to long-term variations in scene dynamics. Our results show competitive performance of the proposed system on the standard i-LIDS dataset.
Teaching Online During the Covid Pandemic in Rural Bhutan: Challenges and Coping Strategies

The adverse impact of the COVID-19 pandemic on teachers and students has been discussed in different contexts of education, mostly focused on challenges of the imposed transition from physical to virtual teaching. Not much has been written about the resulting predicaments of rural teachers and their students, especially in developing countries like Bhutan. Using a qualitative approach, this article explores these challenges and identifies the coping strategies used by 15 Bhutanese rural teachers regarding online teaching during the COVID-19 pandemic. Possible implications and recommendations for future practice and research are discussed.
Mobile based social networking platform for remote school ecosystem in resource-constrained areas – An Indian case study

Quality elementary education is a right of every citizen in India. Efficient networking of all stakeholders is essential to ensure effective delivery of educational services at the grassroots. There are several challenges in networking stakeholders especially in remote, rural and scattered service delivery points. In such a scenario, frugal Information Communication Technologies have better acceptability, utility and effectiveness among stakeholders. This paper discusses the experiences in piloting a simple mobile based social networking platform for the primary education stakeholders of a remote district in India that has been effective in promoting quality educational service delivery in multiple ways.
Developing an Integrated Support Service Model Framework for Continuous Customer Value Creation

The purpose of this study is to use relevant cases to develop an integrated support service model for continuous customer value creation. An integrated support service model framework and specific activities were suggested in this study. This model was developed as a three-step process: activities before the point of sale (before service provision, pre-sale), during the point of sale (during service provision, on-sale), and after the point of sale (after service provision, post-sale). The following processes are suggested, each of which has sub-steps. Pre-sale activities include service warranties. On-sale activities are broken into service failure prevention and recovery management, customer experience management, and personalized service management activities. Post-sale activities include service management after the point of sale. In particular, service failure prevention and recovery management are necessary for all three steps. According to the findings of this study, the proposed model that categorizes the services needed from before to after sales by procedures and integrating components would be applied in the service sectors.
Experiments on Deep Single-Image Portrait Relighting

This work describes deep single-image portrait relighting, a method to change the lighting of an image. The method is based on an hourglass convolutional neural network, which encodes the image and its estimated original lighting features, then replaces the lighting features with the target light. We highlight the overall good results produced by this method, as well as its limitations and the lighting artifacts that sometimes appear on relighted images. **This is an MLBriefs article, the source code has not been reviewed!**<br> **The original source code is [[available here|https://zhhoper.github.io/dpr.html]] (last checked 2022/10/10).**
Generic Construction of (Hierarchical) Functional Pseudorandom Functions

Functional Pseudorandom (F-PRF) is a cryptography primitive which extends the standard Pseudorandom Function (PRF) to be functional, where for any function f, a functional key can be generated to compute the PRF F on x in the range of f. F-PRF can be used in MPC or to provide the authorization-like serves, but the known constructions of F- PRF are only for some special function classes or the prefix-fixing functions, how to construct it for any function is still an open problem. We have moved a little bit in this direction. Concretely, we build the first construction of F-PRF for any function based on Indistinguishability Obfuscation and Puncturable PRF, and prove its selective security. Then we have defined a new security of F-PRF called semi-adaptive security, and prove that the above construction is semi-adaptively secure if the underlying Puncturable PRF is adaptively secure. Finally, we extend the construction to be hierarchical – a party owning a functional key can generate sub-functional keys within its ability.
A Domain Adaptive and Label-efficient Deep Learning Method for Ki-67 Scoring in Infiltrative Breast Ductal Carcinoma Cells

Purpose Ki-67 proliferation index is closely related to the diagnosis, grading, prognosis, and treatment of breast invasive ductal carcinoma (IDC). However, existing deep learning algorithms for automatic Ki-67 index scoring do not exclude normal cells, which leads to no clinically meaningful results. Considering that, we aim to develop a label-efficient and domain adaptive method to distinguish tumor cells from normal cells in Ki-67-stained images.
Character-Loaded Lift the Flap Book to Enhance Contextual Problem-Solving Skills of Mental Retardation Students

Contextual problems that include addition and subtraction operations are challenging to solve for mild mental retardation students with intelligence levels between 55 and 70. These characteristics make it difficult for them to control themselves, use symbols and make associations between the knowledge they have acquired with a contextual problem. This study aimed to develop a character-loaded lift the flap book to improve contextual problem-solving skills in basic arithmetic operations. So, this research uses the ADDIE model consisting of five stages: analysis, design, development, implementation, and evaluation. Researchers collected data through interviews and written tests. Data analysis was carried out quantitatively and qualitatively. The results showed that the character-loaded lift the flap book developed by the researcher was categorized as valid, practical, and effective in improving the problem-solving abilities of mild mental retardation students, especially related to students' skills in associating contextual problems with addition and subtraction arithmetic operations.
Emotional Intelligence as a Moderator between Micromanagement Leadership and Employee Performance

Today’s businesses work in a fast-paced, uncertain, and intensely competitive environment. In such circumstances, organizations depend on their leaders for better results. Leaders use different leadership styles to accomplish their tasks and achieve success. Micromanagement is one such type of leadership style, wherein leaders are overly focused on results, staff-controlling, issues handling, and making all choices on their own. Such constant observation and supervision of employees create an impact on their performance. On the other side, leaders with high emotional intelligence try to empathize with their team members and facilitate improving their performance by giving them constructive criticism. The present study proposed a theoretical framework by investigating the influence of micromanagement leadership on employee performance, and the moderating effect of emotional intelligence on the relationship between micromanagement leadership towards employee performance. This study also emphasized the implications for leaders, employees, and organizations, thereby formulating propositions that can act as a foundation for future empirical work.
GSAIC: GeoScience Articles Illustration and Caption Dataset

The scientific investigation of geoscience includes data collection, sample classification and semantic, consisting of a large number of images. An image-text search model that can well assist the research work of geoscience. However, the existing image-text datasets are mainly in the field of daily life and lack academic image-text datasets. In order to help geoscience researchers to investigate through the image and text, and to provide a new benchmark for researchers in the fields of data mining and information retrieval, this paper proposes a novel parallel material of geoscience academic illiustrateion and caption (GSAIC) based on GAKG, which contains over 900,000 illustrations of earth science papers and the corresponding captions. GSAIC filters out high-quality illustrations and captions through a classifier, and with the support of experts annotations. The GSAIC will support several tasks Including text search for images, retrieving corresponding images or papers based on academic image descriptions and academic illustration classification tasks, for geoscience scenarios Finally, both the GSAIC benchmark and classifier are publicly accessible.
Blockchain trends and analysis under the economic and financial fields in pharmaceutical sector

Block chain innovation has filled in prevalence as an examination theme and a specialized answer for various undertakings and enterprises. Blockchains disseminated, decentralized, and trustless can give associations new choices and benefits as higher effectiveness, lower costs, further developed honesty and straightforwardness, further developed security, and further developed discernibility. Low financial entrance, the exit of monetary players from specific business sectors, substantial interest for economic incorporation from the two people and private ventures, significant degrees of versatile infiltration, less created business foundation, and monetary area officeholders are on the whole attributes of developing business sectors. With the appearance of Bitcoin, the connection between blockchain innovation and the monetary business sectors will become more personal and incorporated. Then, at that point, as the pertinence of blockchain innovation became clear, more monetary organizations started to explore different avenues regarding its utilization in financial exchanges. These elements, taken together, can go about as a critical gas pedal for the reception of blockchain-based economic arrangements, laying the foundation for a specialized jump ahead and a lift to financial consideration and development. This article gives a prologue to blockchain innovation, investigates significant useful parts of blockchains, fosters a conventional definition, and examines and orders current and forthcoming blockchain applications in the monetary and financial areas.
ASSET MANAGEMENT: perspectives of accounting and extra accounting control of physical bibliographic collections in libraries of federal public institutions

The inherent peculiarities of the different types of libraries configure them as a favorable environment for the implementation of innovations in their administrative processes. As one of these processes highlights the patrimonial management of the physical bibliographic collections, which are consolidated as central to the organizational structure of the libraries, in this investigation we will specify the libraries of the federal public universities that corroborate this perspective. The present investigation aims to present the factors that can interfere in the quality of the patrimonial management of the physical bibliographic collections with the aim of providing an opportunity to reflect on the possibility of implementing innovations in the process. The investigation was methodologically based on a bibliographic investigation that allowed the researchers to have a constructive theoretical basis on the subject studied. As a result, the complexity of the security process of the physical bibliographic collection is perceptible in view of the vulnerability of the informative materials and the number of variables that act on them that end up intensifying this scenario of degradation.
Corrigendum

Geostandards and Geoanalytical ResearchEarly View CORRIGENDUMFree Access Corrigendum First published: 11 October 2022 https://doi.org/10.1111/ggr.12462AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat The referenced article, Boone et al. (2022), was published with errors: 1. A reference has been added to the reference section:- Jones, S.L., Anderson, J.R., Fraser, G.L., Lewis, C.J., McLennan, S.M. (2018) A U–Pb geochronology compilation for northern Australia: Version 2, 2018. Record 2018/49. Geoscience Australia, Canberra. https://doi.org/10.11636/Record.2018.049 2. The citation for this reference should appear at the end of the caption for Figure 9:- AusGeochem map view geospatially displaying SIMS U-Pb data from the Northern Territory of Australia. Data from Jones et al. (2018). 3. The third sentence in the ‘Legacy Datasets as test cases" section was also incorrect and has been amended to: Legacy datasets to date include the McNaughton sample and SIMS U-Pb data compilation (2765 samples, 701 with corresponding U-Pb results), the Geological Survey of Western Australia SIMS U-Pb data compilation (1404 analyses), the Geoscience Australia SIMS U-Pb data compilation (3413 analyses, Jones et al., 2018) and the Australian-wide apatite fission-track survey (2594 samples) of Kohn et al. (2002) and Gleadow et al. (2002), the analytical results of which will soon follow when the corresponding fission track model is released in early 2022. Reference Boone S. C., Dalton H., Prent A., Kohlmann F., Theile M., Greau Y., Florin G., Noble W., Hodgekiss S.-A., Ware B., Phillips D., Kohn B., O’Reilly S., Gleadow A., McInnes B., Rawling T. (2022) AusGeochem: An Open Platform for Geochemical Data Preservation, Dissemination and Synthesis. Geostandards and Geoanalytical Research, 46, 245- 259. Wiley Online LibraryWeb of Science®Google Scholar Early ViewOnline Version of Record before inclusion in an issue ReferencesRelatedInformation
Educational Experiences of a Special Education Teacher Who has Worked with a Professional Learning Community in a Post-Secondary Program for Vocational Education

The Post-Secondary Program is for career and vocational education of special education provided to students who have graduated from high school. It has emphasized achievements such as employment rate rather than students learning. This study is a reflection on educational experiences of a special education teacher who has worked at a Post-Secondary Program for Vocational Education with teachers in a professional learning community. I explored my educational experience and meaning with autoethnography. I collected personal internal data, participation observation data, interview data and local data in order to explore. The data were interpreted through the process of the comprehensively analytical procedure based on the practical eclecticism. The results of this study are as follows. First, I was able to face an uncomfortable educational culture to increase the employment rate and sales of school enterprises rather than student learning. Second, I and the teachers in the professional learning community have empathized with the lives of the students and have tried to meet their educational needs. Third, the Post-Secondary Program for Vocational Education must form an identity so that students can continue their enjoyable learning. This study will provide a deeper insight into the meaning of the Post-Secondary Program for Vocational Education by understanding the educational experiences from a socio-cultural perspective.
Analysis of Trends in Research on Children’s and Young Adult Literature/Literature Education

Since the Korean Society for Teaching English Literature (KSTEL) was founded in 1992, it has grown into an academic organization representing English literature-related research and education in Korea through various active academic activities, including biannual academic conferences and the publication of the Journal of Teaching English Literature (JTEL) three times a year. JTEL is a vital source of information on children’s and young adult literature and literature education by featuring analyses of poetry, fiction, drama, film, and non-fictional materials and providing ideas for teaching children’s and young adult literature in the classroom.&#x0D; To celebrate KSTEL’s 30th anniversary, this paper reviews and draws the trajectory of the kinds of writers, literary works, and research topics that scholars have been interested in. In this paper, I comprehensively examine and analyze the changes in goals, methodology, topics, themes, perspectives, and contents of research papers related to children’s and young adult literature criticism and literature education over the past three decades. I also make some suggestions regarding the journal’s direction for the future based on personal opinions and beliefs.