An OCR free word spotting method is developed and evaluated under a strong experimental protocol. Different feature sets are evaluated under the same experimental conditions. In addition, a tuning process in the document segmentation step is proposed which provides a significant reduction in terms of processing time. For this purpose, a complete OCR-free method for word spotting in printed documents was implemented, and a document database containing document images and their corresponding ground truth text files was created. A strong experimental protocol based on 800 document images allows us to compare the results of the three feature sets used to represent the word image.

Due to both the widespread and multipurpose use of document images and the current availability of a high number of document images repositories, robust information retrieval mechanisms and systems have been increasingly demanded. This paper presents an approach to support the automatic generation of relationships among document images by exploiting Latent Semantic Indexing (LSI) and Optical Character Recognition (OCR). We developed the LinkDI (Linking of Document Images) service, which extracts and indexes document images content, computes its latent semantics, and defines relationships among images as hyperlinks. LinkDI was experimented with document images repositories, and its performance was evaluated by comparing the quality of the relationships created among textual documents as well as among their respective document images. Considering those same document images, we ran further experiments in order to compare the performance of LinkDI when it exploits or not the LSI technique. Experimental results showed that LSI can mitigate the effects of usual OCR misrecognition, which reinforces the feasibility of LinkDI relating OCR output with high degradation.

In this paper we introduce eXVisXML, a visual tool to explore documents annotated with the mark-up language XML, in order to easily perform over them tasks as knowledge extraction or document engineering.

eXVisXML was designed mainly for two kind of users. Those who want to analyze an annotated document to explore the information contained-for them a visual inspection tool can be of great help, and a slicing functionality can be an effective complement.

The other target group is composed by document engineers who might be interested in assessing the quality of the annotation created. This can be achieved through the measurements of some parameters that will allow to compare the elements and attributes of the DTD/Schema against those effectively used in the document instances.

Both functionalities and the way they were delineated and implemented will be discussed along the paper.

This paper reports on the Joaquim Nabuco Project, a pioneering work in Latin America on document digitalization, enhancement, compression, indexing, retrieval and network transmission of historical document images.

E-speranto is a formal language for generating multilingual texts on the World Wide Web. It is currently still under development. The vocabulary and grammar rules of E-speranto are based on Esperanto; the syntax of E-speranto, however, is based on XML (eXtensible Markup Language). The latter enables the integration of documents generated in E-speranto into web pages. When a user accesses a web page generated in E-speranto, the interpreter interprets the document into a chosen natural language, which enables the user to read the document in any arbitrary language supported by the interpreter.

The basic parts of the E-speranto interpreting system are the interpreters and information resources, which complies with the principle of separating the interpretation process from the data itself. The architecture of the E-speranto interpreter takes advantage of the resemblance between the languages belonging to the same linguistic group, which consequently results in a lower production cost of the interpreters for the same linguistic group.

We designed a proof-of-concept implementation for interpreting E-speranto in three Slavic languages: Slovenian, Serbian and Russian. These languages share many common features in addition to having a similar syntax and vocabulary. The content of the information resources (vocabulary, lexicon) was limited to the extent that was needed to interpret the test documents. The testing confirmed the applicability of our concept and also indicated the guidelines for future development of both the interpreters and E-speranto itself.

Students in teaching-focused business-schools need a level of assistance and advisement broader and more profound than what is needed in R1&R2 schools. We investigate the informal interdependencies among marketing, finance, operation, and management core courses in these schools. By conducting hypothesis tests on a large dataset, we identify a flexible network showing the preferred sequencing of these courses to improve students' performance as measured by the course grade. Better performances in this context may also lead to higher retention-rates and lower time-to-degree. We recommend taking Finance or Finance and Management as the first course(s). Marketing should be the next course before or concurrent with Operations Management. Regarding the lower division courses, it is recommended to take Statistics before Economics and Accounting courses and Accounting before or concurrent with Economics. We also consider the significant role of a milestone course that links the lower division and core courses.

As more institutions continue to work with large and diverse type of content for their digital repositories, there is an inherent need to evaluate, prototype, and implement user-friendly websites -regardless of the digital files' size, format, location or the content management system in use. This article aims to provide an overview of the need and current development of Document Viewers for digitized objects in DSpace repositories -includign a local viewer developed for an newspaper collection and four other viewers currently implemented in DSpace repositories. According to the DSpace Registry, 22% of institutions are currently storing "Images" in their repositories and 21% are using DSpace for non-traditional IR content such as: Image Repository, Subject Repository, Museum Cultural, or Learning Resources. The combination of current technologies such as Djatoka Image Server, IIPImage Server, DjVu Libre, and the Internet Archive BookReader, as well as the growing number of digital repositories hosting digitized content, suggests that the DSpace community will probably benefit with an "out-of-the-box" Document Viewer, especially one for large, high-resolution, and multi-page objects.

The transition from printed to electronic sources of information has resulted in a profound change to the way procurement officers seek information. Furthermore, in the past decade there have been additional technological revolutions that are expected to further affect the procurement process. In this paper, we conduct a survey among forty nine university procurement officers in Israel to examine to what extent procurement officers have adapted to smartphones and tablets by testing how frequently officers use notebooks, smartphones, and tablets for work-related and leisure purposes. We find that while officers prefer electronic sources of information over printed sources of information, officers have not yet adapted to the later technological advances (i.e., smartphones and tablets). Notebooks are more frequently used than either smartphones or tablets for work-related and leisure purposes. One explanation behind this result is that officers are not skilled in using smartphone and tablets applications. This implies that training officers in the use of these devices may improve their performance.

Aim/Purpose. This study captures and describes the discrepancies in the performance matrices of comparable Chinese and American scholars as recorded by Scopus. Background. The contributions of Chinese scholars to the global knowledge enterprise are increasing, whereas indexing bibliometric databases (e.g., Scopus) are not optimally designed to track their names and record their work precisely. Methodology. Coarsened exact matching was employed to construct two samples of comparable Chinese and American scholars in terms of gender, fields of work, educational backgrounds, experience, and workplace. Under 200 scholars, around a third being Chinese and the rest American scholars, were selected through this data construction method. Statistical tests, including logit regressions, Poisson regression, and fractional response models, were applied to both samples to measure and verify the discrepancies stored within their Scopus accounts. Contribution. This study complicates the theory of academic identity development, especially on the intellectual strand, as it shows ethnic scholars may face more errors in how their track records are stored and presented. This study also provides inputs for the discussion of algorithmic discrimination from the academic context and to the scientific community. Findings. This paper finds that Chinese scholars are more prone to imprecise records in Scopus (i.e., more duplicate accounts, a higher gap between the best-statistic accounts, and the total numbers of publications and citations) than their American counterparts. These findings are consistent across two samples and with different statistical tests. Recommendations for Practitioners. This paper suggests practitioners and administrators at research institutions treat scholars’ metrics presented in Scopus or other bibliometric databases with caution while evaluating ethnic scholars’ contributions. Recommendations for Researchers. Scholars and researchers are suggested to dedicate efforts to monitoring their accounts on indexing bibliometric platforms. Impact on Society. This paper raises awareness of the barriers that ethnic scholars face in participating in the scientific community and being recognized for their contributions. Future Research. Future research can be built on this paper by expanding the size of the analytical samples and extending similar analyses on comparable data harvested from other bibliometric platforms.

Aim/Purpose: The aim of this study was to explore the factors driving individuals’ behavioral intention to use cryptocurrency in Saudi Arabia using the extended TRA model. Background: Despite the great potential of cryptocurrencies and the exponential growth of cryptocurrency use throughout the world, scholarly research on this topic remained scarce. Whereas prior studies are mostly done in developed countries or specific cultural contexts, limiting the generalizability of their results, they mainly used technology adoption models that cannot fully explain the acceptance of new technology involved with financial transactions such as cryptocurrency and provided contradictory evidence. Entire regions have been excluded from the research on this topic, including Saudi Arabia which has a high potential to increase the volume of cryptocurrency use. Methodology: This study extends the theory of reasoned action (TRA) with the factors from technology adoption models that proved relevant for this topic, namely perceived usefulness, perceived enjoyment, perceived innovativeness, and perceived risk with three sub-factors: security, financial, and privacy risk. Data are collected using a quantitative research methodology from 181 respondents residing in Saudi Arabia and then analyzed by several methods, including exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modeling (SEM). Contribution: This study contributes to the scientific knowledge by extending the TRA model with a range of factors from the technology adoption field, thus enabling the analysis of this topic from human, financial, and technology perspectives and providing additional empirical evidence on the factors that previously either provided contradictory evidence or were not explored in this field. This research also provides the first empirical data on this topic in Saudi Arabia and enables further research on the topic and a comparison of the results. The study also contributes to practice by enhancing the actual understanding of the phenomena and providing valuable information and recommendations for governments, investors, merchants, developers, and the general population. Findings: The study found attitude, subjective norm, perceived usefulness, perceived enjoyment, personal innovativeness, privacy risk, and financial risk as significant predictors of the intention to use cryptocurrencies, whereas the influence of security risk was not found to be significant in Saudi Arabia. Recommendations for Practitioners: Using this study’s results, governments can create appropriate legal frameworks, developers can design fewer complex platforms, and merchants may create appropriate campaigns that emphasize the benefits of cryptocurrency use and transpire trust in cryptocurrency transactions by enhancing the factors with a positive impact, such as usefulness, enjoyment, and personal innovativeness while reducing concerns of potential users regarding the risky factors. By promoting a positive user experience, they can also improve attitudes and social norms towards cryptocurrencies, thus further stimulating the interest in their use. Recommendation for Researchers: As this study validated the influence of factors from technology, financial, and human-related fields, researchers may follow this approach to ensure a comprehensive analysis of this complex topic, especially as privacy risk was never examined in this context, while personal innovativeness, perceived enjoyment, financial, and security risk were explored in just a few studies. It is also recommended that researchers explore the impact of each part of subjective norms: social media, friends, and family, as well as how information on the benefits of cryptocurrencies affects the perception of the factors included. Impact on Society: Understanding the factors affecting cryptocurrency use can help utilize the full potential of cryptocurrencies, especially their benefits for developing countries reflected in safe, speedy, and low-cost financial transactions with no need for an intermediary. The research model of this study could also be used to investigate this topic in other contexts to discover similarities and differences, as well as to investigate other information systems. Future Research: Future studies should test this research model in similar and different contexts to determine whether its validity and study results depend on cultural and contextual factors. They can also include different or additional variables, or use mixed methods, as interviews would augment the comprehension of this topic. Future studies may also explore whether the impact of variables would remain the same if circumstances changed or use cases expanded, and how the preferences of the target population would change within a longitudinal time frame.

Unmanned stores are one of the latest conceptual developments in retail and have received much attention, especially in the context of COVID-19-related social restrictions and the associated changes in consumer behaviour. The concept considers the latest technological developments and promises to offer various benefits to consumers and retailers based on artificial intelligence and automation. Using a German sample, this paper aims to evaluate consumers' acceptance of and intention to use the most prominent innovative solutions in unmanned stores. A modified technology acceptance model (TAM) as a theoretical framework was applied to the study. The results of the structural equation modelling make two contributions to the existing literature: First, the acceptance criteria for unmanned stores have not been analysed previously. Second, the modified TAM could be confirmed in this study. We provide empirical evidence suggesting that significant numbers of consumers accept unmanned stores, especially if the stores are strategically located and when individuals have a high innovation affinity.

This paper reports on a case study of a group of six non-native English speaking migrant women’s experiences learning English vocabulary in a mobile assisted language learning (MALL) environment at a small community centre in Western Australia. A sociocultural approach to learning vocabulary was adopted in designing the MALL lessons that the women undertook. The women provided demographic information, responded to questions in a pre-MALL semi-structured interview, attended the MALL lessons, and completed a post-MALL semi-structured interview. This study explores the sociocultural factors that affect migrant women’s language learning in general, and vocabulary in particular. The women’s responses to MALL lessons and using the tablet reveal a positive effect in their vocabulary learning.

Aim/Purpose: To develop and introduce a questionnaire that investigates the informing needs, information-seeking behavior, and supplier selection of procurement officers in Israel. The questionnaire’s internal consistency reliability is given. Additionally, we describe the demographic description of the procurement officers in Israel. Background: Procurement science is an important field that affects firms’ profits in the private sector and is significant to growth, innovation, sustainability, and welfare in the public sector. There is little research about the informing needs of procurement officers in general and particularly in Israel. Methodology: A quantitative questionnaire that is sent to all the procurement officers in Israel’s procuring association. Contribution: The questionnaire that is developed in this paper may be used by other researchers and practitioners to evaluate the information needs of procurement officers. Findings: The typical procurement officer is male, with a bachelor degree and is digitally proficient. Recommendations for Practitioners: The procuring side can use the questionnaire to develop better tools for obtaining information efficiently. The supplying side can use this knowledge to improve its exposure to potential customers and address its customer’s needs better. Recommendation for Researchers: The questionnaire can address theoretical questions such as how digital literacy affects the procuring process and provide empirical findings about active research areas such as supplier selection and information-seeking behavior. Future Research: Future research will examine the relationship between the various variables and demographic features to understand why specific information needs and information-seeking behaviors arise.

Qinghua WU,Weitong LI, Vol.E107-D, No.11, pp.1422-1432
Multi-focus image fusion involves combining partially focused images of the same scene to create an all-in-focus image. Aiming at the problems of existing multi-focus image fusion algorithms that the benchmark image is difficult to obtain and the convolutional neural network focuses too much on the local region, a fusion algorithm that combines local and global feature encoding is proposed. Initially, we devise two self-supervised image reconstruction tasks and train an encoder-decoder network through multi-task learning. Subsequently, within the encoder, we merge the dense connection module with the PS-ViT module, enabling the network to utilize local and global information during feature extraction. Finally, to enhance the overall efficiency of the model, distinct loss functions are applied to each task. To preserve the more robust features from the original images, spatial frequency is employed during the fusion stage to obtain the feature map of the fused image. Experimental results demonstrate that, in comparison to twelve other prominent algorithms, our method exhibits good fusion performance in objective evaluation. Ten of the selected twelve evaluation metrics show an improvement of more than 0.28%. Additionally, it presents superior visual effects subjectively.
Publication Date: 2024/11/01

A semantically rich framework to enable real-time knowledge extraction from short length semi-structured documents Lavana Elluri 10:30-11:30 Monday, 4 November 2019, ITE346 Knowledge is currently maintained as a large volume of unstructured text data in books, laws, regulations and policies, news and social media, academic and scientific reports, conversation and correspondence, etc. Most of these […]

The post TALK: Real-time knowledge extraction from short semi-structured documents appeared first on UMBC ebiquity.

Using data from 607 subjects organized in 161 teams (84 laboratory teams and 77 organizational field teams), we examined how leader humility influences team interaction patterns, emergent states, and team performance. We developed and tested a theoretical model arguing that when leaders behave humbly, followers emulate their humble behaviors, creating a shared interpersonal team process (collective humility). This collective humility in turn creates a team emergent state focused on progressively striving toward achieving the team's highest potential (collective promotion focus), which ultimately enhances team performance. We tested our model across three studies wherein we manipulated leader humility to test the social contagion hypothesis (Study 1), examined the impact of humility on team processes and performance in a longitudinal team simulation (Study 2), and tested the full model in a multistage field study in a health services context (Study 3). The findings from these lab and field studies collectively supported our theoretical model, demonstrating that leader behavior can spread via social contagion to followers, producing an emergent state that ultimately affects team performance. Our findings contribute to the leadership literature by suggesting the need for leaders to lead by example, and showing precisely how a specific set of leader behaviors influence team performance, which may provide a useful template for future leadership research on a wide variety of leader behaviors.

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Investigators collect data on off-counter sale of chemical powder

In this recent Ask the Experts question, learn the difference between a standard and a specification. For more answers, visit the Ask the Experts page.

Our bro Markus Schwital has teamed up with the filmmaker Leo Doerfler and released a small but epic documentary about Markus and his passion for BMX Flatland riding. You can expect great shots from Stuttgart, interesting background information and of course the finest BMX Flatland action.

Enjoy the video!

Video & editing: @leo.doerfler
Rider: @markusschwital

An undated image of the suspect, national guardsman Jack Teixeira, can be seen reflected in an image of the Pentagon in Washington, DC in this photo illustration created on April 13, 2023. — AFP

Jack Teixeira, an American airman who admitted to leaking a trove of...

cna

Russia's government since the 1990s has had the type of microwave weapons that are suspected in the covert attacks on U.S. intelligence officials and diplomats that have caused what has come to be known as "Havana syndrome."

The Democratic Republic of Congo's troubled election this week has already scored at least one small victory for peace.

Despite two assassination attempts, hundreds of millions of dollars squandered, hyperbolic and polarizing rhetoric invoking Hitler, relentless, politically motivated lawfare and much more, Donald Trump has prevailed against all odds ("'History's greatest comeback': From Israel to Ukraine, world leaders congratulate Trump on election," web, Nov. 6).

Five  projects focused on citizen science began their life in autumn 2012 as a part of the topic ENV.2012.6.5-1 "Developing community based environmental monitoring and information systems using innovative and novel earth observation applications". Their goals include developing novel technologies and applications in the domain of Earth Observation; exploiting portable devices (smartphones, tablets, etc.) and enabling effective participation by citizens in environmental stewardship based on broad stakeholder and user involvement in support of both community and policy priorities.

These projects are:

OmniScientis - combining the active participation of the stakeholders, especially citizens, with the implementation of innovative technologies to improve the governance of odour nuisance. OMNISCIENTIS implements an odour monitoring and information system allowing feedback in real-time, based on a web-based Service Platform.

Citclops - developing an observatory based on citizens’ science applications for the bio-optical monitoring of coast and ocean. Specifically, the Citclops action develops systems to retrieve and use data on the colour, transparency and fluorescence of seawater using low-cost sensors and smart phones along with contextual information.

COBWEB - seeking to design, develop and validate the necessary software infrastructure to facilitate and make possible the opportunistic harvesting and quality control of crowdsourced environmental data.

The third plenary of Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) will be held from the 12.-17. January 2015 in Bonn, Germany where also EU BON partners will attend. The IPBES secretariat already released some information notes and documents for participants that plan to join the sessions. In addition to that, some working documents for IPBES-3 are released in the meantime, like the provisional agenda and others. There are also reports being published that are relevant for the work of biodiversity networks like EU BON. Interesting reports are for example the draft of the assessment on biodiversity and ecosystem services in Europe and Central Asia (where EU BON is mentioned as a relevant research network) and other working documents for the plenary.

Please find the documents under the following link that will guide you to the specific IPBES webpage: http://ipbes.net/plenary/ipbes-3.html#three

April proved to be an eventful month for EU BON, hosting the presentation of two major project results, not only within the same month, but in the course of one week. While CSIC and partners were launching the beta-version of the long-waited Biodiversity Portal in Seville, another EU BON team was busy to search for Integrated approaches for focused biodiversity data mobilization in Stockholm.

About the Portal:

In a dedicated session at the WP2 meeting in Seville, Spain, EU BON partners had the chance to view their work for the last couple of years materialising into one of the main expected project results - the European Biodiversity Portal. That said, what was then presented on 29 April is a beta version, with the final release of the portal planned to become available in early 2017.

Participants at the Seville Workshop, April 2016. Credit: A. Hoffmann

Nonetheless, this beta version already addresses the main aim to offer a unique service for analysing and understanding biodiversity change in Europe. For instance, users can explore how relative abundance of species (within a larger group) changes over time by using big data mediated by GBIF. There is also a spatial browser for locating datasets in any part of the world, which may be usable for computing the EBVs for species populations.

Additionally, an online analytical data processing (OLAP) toolbox has been included in this release. Based on GEOSS technology, the new portal lets users harvest and simultaneously access data from several directories, including GBIF, LTER, EuMon (coming), PESI, and GEOSS sources.

This release also highlights the products of the EU BON project, including new methods and analyses packed in factsheets and infographics for the convenience of scientists and policy users alike. Explore the portal’s beta version here.

Suggestions of how to develop the beta portal further towards the full release are appreciated. Use the feedback form at the welcome page.

Integrated biodiversity data mobilization:

It is a challenge for Bioinformatics group in Europe and around the world to find better ways to integrate different systems and technology. In EU BON’s Task 1.4 the approach to solving this issue was to integrate different systems managing natural history collections and molecular data systems using the best techniques available.

In a dedicated workshop, which took place in Stockholm, Sweden, developers in the sphere of bioinformatics were presented with the project’s Data Mobilization Toolkit. This particular workshop was mainly focused on Docker as a tool to move towards a more integrated environment. Docker has revolutionized system integration and in the workshop the Swedish team shared their experience with dockerizing the DINA-system.

Discussions during the Stockholm workshop; Credit: Karin Karlsson

The workshop ended with a hackathon where they together explored the possibilities for using Docker in selected parts of integrating Pluto-F, JACQ and DINA.

“There’s no story quite like the Boston Celtics.”

The post What we know about ‘Celtics City,’ HBO’s documentary from the producers of ‘30 for 30’ appeared first on Boston.com.

"To me, the bigger thing is just where the Bears are."

The post Bill Belichick focuses more on Bears’ dysfunction than Patriots’ strides after win in Chicago appeared first on Boston.com.

Standup comic and actor Bill Burr will host for the second time with Mk.gee as musical guest.

The post ‘Saturday Night Live’ to take on a second Trump term after focusing on Harris appeared first on Boston.com.

Israelis and many others throughout the Middle East celebrate Donald Trump's election victory, Israeli Prime Minister Benjamin Netanyahu calls Trump to congratulate him, and they discuss the threat from Iran; Chris Mitchell talks about the ... ...

Product Focus on Glazing

Product Focus on Insulation

Product Focus on Insulation

October product focus on Firestopping/Fireproofing.

Every three years, in alignment with the building code cycle, the Gypsum Association issues new editions of the Association’s three code-referenced publications: GA-600 Fire Resistance and Sound Control Design Manual, GA-216 Application and Finishing of Gypsum Panel Products, and GA-253 Application of Gypsum Sheathing.

June 2021's product focus.

In its continual endeavors to keep its industry documents up to date, the association reviews the latest.