Reviewerly/exHarmony huggingface dataset:
Multimodal nondestructive inspection of impact damages in composite laminates: a case study to assess the damage volume (Conference Presentation)

The objective of this case study is to characterise and to numerically assess the volume of impact damages in composite laminates with multiple non-destructive testing techniques. Reliable and robust assessments of the damage volume will be used as input and validation data for the existing and developing numerical models of composite materials. In everyday work, researchers in the area of composite materials mostly use 2D assessment of the damaged area acquired with conventional inspection methods as ultrasonic c-scan. This practice is supported by the relative simplicity of the data analysis carried in 2D. It is proposed to assess the damage volume in 3D which may serve as a more reliable criterion to improve coupling with the numerical modelling. In this paper micro X-ray computed tomography (CT) was used as the reference technique for the damage volume assessment and comparison with an industrial ultrasonic c-scan. In addition, for this case study, ultrasonic phased array technique with the full matrix capture algorithms was used for the inspection together with shearography (speckle pattern shearing interferometry). A comparison of all techniques referenced to the CT data formed the guidance for their applicability. In addition, an attempt to fuse the multiple assessments was made to support the comparison of 2D and 3D inspection techniques. For the experimental part, carbon fiber reinforced polymer (CFRP) specimens of three layups were manufactured and damaged with 4 different impact energies in the range of 18-45 J. The layups were orthotropic, quasi-isotropic and a novel one adapted for the impact events. In total 12 specimens were inspected with multiple non-destructive testing techniques to numerically assess the volume of the impact damages. 3 additional specimens were used to assess the repeatability of the damage in the specimens with the same layup and impact energy. 3D CT reconstructions were made by a rotation of specimens using a cone-beam system with the voxel side size of 50 μm. A developed automatic segmentation algorithm was used for the damage volume estimation in all specimens. The phased array inspection was made with a full-matrix capture technique with the frequencies of 2.25 and 5 MHz. An available 3D shape shearography setup was used to characterise the damages both with the in- and out-of-plane surface strains with a thermal loading of the specimen. Future developments include the comparison of the inspection results together with the numerical modelling predictions and with residual strength after the impact.
The Limits and Opportunities of CSR Engagement to Address Grand Challenges

Shell’s corporate social responsibility (CSR) engagement in Nigeria presents an intriguing paradox: the front-running company in CSR not only failed to reduce grand challenges (GC), but actually served to aggravate environmental degradation, communal instability, conflict and violence in Nige-ria. This paradox reflects a broader debate between proponents of an enlarged political responsibil-ity of MNCs and more critical scholars. While both literatures highlight opportunities and challeng-es of CSR management, scholars have not consolidated these insights into a useful model which could reconcile demands to address GC within the firm’s CSR engagement with the prevailing business rational and thus provide a way to effectively address GC (Scherer, Rasche, Palazzo, & Spicer, 2016). Notably lacking from both literatures is the attention to developing countries where GC are most salient and to the role and responsibilities of the state and local communities. The in-depth analysis of Shell’s CSR engagement is salient for developing new theoretical insights and practical recommendations due to the extreme nature of the case and our privileged access to main affected stakeholders. We induce a process model for CSR engagement from the perspective of main affected stakeholders with a novel social connectedness lens (Young, 2006) which advances a new temporal, deliberative, and relational dimension to CSR management.
Design and Performance Study of FaceReminder

The initial design and evaluation of FaceReminder: a real-time facial recognition app that aims to assist people with memory problems, are presented in this work. Based on a smart Vuzix Blade glass paired with an Android device, FaceReminder can show the name of a person on the see-through display of the glass when s/he is recognized. Given the limited computation and battery capacities on the smart glass, it is imperative to design FaceReminder with both performance and energy efficiency being considered. We evaluate the trade-offs between the latency of FaceReminder and power consumption of the glass with varying resolutions of the photos to be transmitted from the glass to the Android device. The evaluations also considered the size of the database used by the face recognition function. The results show that varying the resolution of the photos have the largest impact on the latency (i.e., execution times) and energy efficiency. With low resolution photos, FaceReminder can process up to three times more photos compared to the full resolution case. However, photo resolution can also affect facial recognition accuracy, which will be evaluated in our future work.
Pemanfaatan Media Komputer Dalam Pembelajaran Bahasa Inggris Dengan Metode Direct Method (Internet Based)

In the era of advanced technology, the use of computer in many aspects has been the part of our life. Moreover, computer has been used in the field of education. The use of computer in teaching and learning has many benefits, not only for the teachers but also the students. So does with English. It has been a compulsory subject in many levels of education. In fact, there are many methods of teaching English that can be used. Using the direct method, especially internet or other aplications by computer or android, can be one of the creative ways to create an enjoyable and fun atmosphere of teaching and learning English.
Disappearing professions through technological development: Implications for the Dutch labour market

Frey and Osborne (2013) have researched the effects of current digitization and robotization of society and concluded 47 percent of American jobs have a high probability of disappearing between now and the year 2030. There are signs that these technological developments may lead to a fourth industrial revolution and consequently, unemployment will rise, as job creation cannot keep up with job destruction. The previous Deputy Prime minister of the Netherlands underlined the necessity of dealing with the possible changes of technological development for the Netherlands (Buddingh, 2014). A quantitative database-driven approach is used to determine a labour market forecast for the Netherlands. The programming language ‘Python’ was used to conduct the research. The research concludes in a policy space with three technological development scenarios and a generalized methodology. The development scenarios are low, medium, and high technological development. The research concludes in respectively 0.8, 2.6 and 4.7 million loss of jobs for the scenarios. The loss of jobs should be regarded as a space for policy since it does not incorporate the creation of new occupations. It is recommended to the Ministry of Social Affairs and Employed to instate a committee that addresses the sketched scenarios and designs policy to mitigate possible negative effects.
The Performance Effects of Competing Representations of Rivalry in Novel Innovation

Cognitive representations of rivalry are difficult for managers in the best of times. When facing the uncertainties of innovation, managers must add the problem of competing against uncertainty to the problem of competing against rivals. This added complexity increases the likelihood of a misrepresentation of the competitive environment and errors in innovation decisions. We study the impact of differences in the representations of rivalry that firms may have when contemplating innovation and entry into a new market. We build a formal model of these firms and impose competing representations on them to evaluate the accuracy of their decisions and the profitability losses they suffer due to inaccurate representations of the rivalry they face. We find that under certain conditions, incorrect mental models can outperform correct ones. Further, a firm's performance is often more dependent upon the mental model of the competition, and in general it is better to play against a smart competitor than a naive one. The representations of potential rivals may be as important to the performance of innovations as the representation of the innovator.
Refining Proposals with Neighboring Contexts for Temporal Action Detection

While many methods have been proposed for generating temporal proposals, the performance of existing temporal detection pipelines is still limited by the quality of proposals. In this paper, we introduce a new refining model for temporal action detection, which incorporates the evaluation of Intersection-over-Union (IoU) value into the action classification, and then regresses a better segment using the neighboring contexts of one candidate proposal. To refine one candidate proposal, we augment it with two neighboring proposals of equal length, which capture the contextual information from the past and future segments. After extracting regional features for the augmented proposals, we utilize the dilated convolutions for contextual modeling to regress the offsets between the candidate proposal and the target segment within this augmented area. Extensive experiments on THUMOS14 demonstrate that our method successfully refines the generated proposals and achieves superior detection performance over other methods.
The Relational Structure Between the General Information Definition and Entropy

This chapter is devoted to examining the relationship between a general definition of the concept of information and entropy. From the understanding of this relationship, a general theory of entropy is offered. The theory of entropy is said to be general in the sense of developing a unified theory of all specific theories of entropy that are unique to specific areas of knowing. The study of human behavior reveals itself in the information-decision-choice activities which include the activities of knowing and social transformation.
Greenhouse and Field: Two Field Domains that Cultivate Designers

Abstract Based on the Ruskin’s comparison of the designer, the design education and the national environment to the seed, soil and climate respectively, and combining with the background of industry and design development in our country at the present stage, this paper analyzes the internal and external causes of the designer’s growth and development, and puts forward the comparison of greenhouse and field that the professional education and social practice in colleges and universities is the two field domains for the designer’s growth, emphasizes the importance of integration of higher education and social practice, proposes that social practice is the main field for designers to grow up. The enlightenment to the development and growth of designers in our country at this stage is discussed.
Intro to web prolog for Erlangers

We describe a programming language called Web Prolog. We think of it as a web programming language, or, more specifically, as a web logic programming language. The language is based on Prolog, with a good pinch of Erlang added. We stay close to traditional Prolog, so close that the vast majority of programs in Prolog textbooks will run without modification. Towards Erlang we are less faithful, picking only features we regard as useful in a web programming language, e.g. features that support concurrency, distribution and intra-process communication. In particular, we borrow features that make Erlang into an actor programming language, and on top of these we define the concept of a pengine – a programming abstraction in the form of a special kind of actor which closely mirrors the behaviour of a Prolog top-level. On top of the pengine abstraction we develop a notion of non-deterministic RPC and the concept of the Prolog Web.
SynTagRus gapping test set

A test set that contains manually annotated sentences with gapping.The test set was compiled from SynTagRus (v. 2015) the dependency treebank for Russian that provides comprehensive manually-corrected morphological and syntactic annotation.
The Use of Kahoot as a Interactive Arabic Teaching Media

This study aims to determine students' perceptions of the use of kahoot as an interactive learning media in Arabic in increasing motivation to learn Arabic. The approach used is descriptive quantitative. The subject of this study was a total of 40 students. Data collection techniques are carried out by observation, questionnaire, interview and documentation. Data analysis techniques were carried out using statistical product and service solution (SPSS) technique version 20.00. The use of kahoot as an interactive learning media in Arabic is the focus of the study. The findings of this study indicate that learning using kahoot media is very interesting with a percentage of 82.50%, students get positive things with a percentage of 62.50% strongly agree and 37.50% agree, kahoot media fosters student motivation in learning Arabic with a percentage of 52, 50% agree, 40.00% strongly agree, Kahoot makes learning more interactive with a percentage of 40% female students agree, 40% of children strongly agree. Thus it can be concluded that the use of kahoot can foster student motivation and make Arabic learning more interactive.
Sentiment Annotation for Lessing’s Plays: Towards a Language Resource for Sentiment Analysis on German Literary Texts

We present first results of an ongoing research project on sentiment annotation of historical plays by German playwright G. E. Lessing (1729-1781). For a subset of speeches from six of his most famous plays, we gathered sentiment annotations by two independent annotators for each play. The annotators were nine students from a Master’s program of German Literature. Overall, we gathered annotations for 1,183 speeches. We report sentiment distributions and agreement metrics and put the results in the context of current research. A preliminary version of the annotated corpus of speeches is publicly available online and can be used for further investigations, evaluations and computational sentiment analysis approaches.
Energy Consumption Optimization of Container-Oriented Cloud Computing Center

[Objective] A container-based cloud computing center suffers from higher energy consumption, so an improved virtual migration strategy has been proposed to optimize energy consumption. [Methods] Firstly, we have studied the dependency among physical machines, virtual machines and containers of a cloud computing center in a container environment; secondly, analyzed the key factors affecting the energy consumption of the data center under such a dependency and established a mathematical model; finally, proposed an optimal utilization priority algorithm according to the non-linear relationship between utilization and energy consumption of different physical machines. [Result] The simulation experiments made on the ContainerCloudSim platform show that the method proposed in this paper can be used to effectively reduce the energy consumption of the data center in the container environment compared with traditional strategies such as random scheduling and maximum utilization. [Conclusion] In this paper, starting from the differences between different physical machines in the actual environment, the classical virtual migration strategy has been improved in order to reduce the energy consumption of the data center and moreover, the algorithm is simple, easy to implement and worthy of popularization.
LibGuides: Interlibrary Loan: Home

When the Bishop Mueller Library does not have licensing for content desired by our patrons, we rely on our Interlibrary Loan network to serve our patrons. Articles will take 3-5 business days and will be emailed. Books will take 5-10 business days and nee
Identifying Meaningful Dimensions in Textual Data: From Theory-Driven to Data-Driven Approaches

This research assesses three approaches for identifying meaningful dimensions in textual data. It evaluates and compares theory-driven dictionaries along with supervised and unsupervised data-driven wordlists. We walk through all three approaches using a sample of 784 Business Schools and a corpus of their mission statements. We discuss the characteristics of the different approaches and provide guidance on the use of software to make them accessible to organizational researchers.
Proactive Information Security Behavior: Group Culture and IT Governance Effects

As a point of departure from prior research that is primarily concerned with seeking effective organizational control over employees’ information security behavior, this study attempts to explore the potential in employees to positively contribute to organizational information security management. Toward that end, this study developed the concept of proactive information security behavior and examined its connections to individual creativity and two organizational context factors: group culture and decentralized IT governance. Reliability and validity of this construct were tested with survey data. Findings of this study supported its positive relationship with individual creativity and group culture and showed partial and full mediation effects of decentralized IT governance on the relationship between group culture and proactive information security behavior and those of proactive information security behavior on the relationship between group culture and individual creativity. Theoretical and practice implications are discussed.
EFFECTIVENESS OF STRUCTURED TEACHING PROGRAMME ON PREMENSTRUAL SYNDROME AMONG VIIITH STD IN SELECTED SCHOOL VALLALAR GURUGULAM HIGHER SECONDARY SCHOOL AT VADALUR

Pre-menstrual Syndrome PMS is a combination of physical, psychological, emotional or  mood disturbances that occur after a women s ovulation & typically ending with the onset of her menstrual flow. A change in mood, behavior, appearance of some abnormal vague symptoms is often second half of the cycle but if the symptoms are severe enough to disturb life cycle of a women and require medical help. Between the age 25-35 years up to 8% of menstruating women report having one or more premenstrual syndrome. objectives : To assess the pretest level of knowledge on premenstrual Syndrome among School Student. To assess the effectiveness of STP on premenstrual Syndrome among School Student .To assess the pretest level of knowledge with selected demographic variables. Method: Quantitative approach is selected. One group pretest and post-test, pre-experimental design was adopted for the study.The study was conducted at VIII th std students in Vallalar Gurukulam Hr.Sec.school at Vadalur`The population for the study was VIII th std students of  Vallalar Gurukulam Hr.Sec.school, Vadalur. Total no of sample size is 30 students.Non probability, convenient sampling technique was used to select subject for this study. Conclusion: The total Post test mean score percentage of knowledge regarding premenstrual syndrome (71%) was greater than pre-test mean score percentage (37%) and it was highly significant at P<0.001 level. The total Post test mean score percentage of knowledge regarding premenstrual syndrome (71%) and (37%) and it was highly significant at P<0.000 level. The structured teaching programme was found to be effective in capturing the attention of the students in order to create awareness about pre menstrual syndrome.
Analysis of Influencing Nerve Strength of the Players in Football Matches under the Ecological Cognition

In the football match, the changes of the cerebral cortical nerve strength of the players have a significant impact on the athletes. The football players in the random Province of China is taken as the study objects. The short-term intensity load competition, continuous high-intensity competition and recalling competition are used to test the football players. The results show that in the short-term intensity load competition, short-term high-intensity training is beneficial to players to master and improve the level of sport skills. In continuous high-intensity competition, players are subjected to high-intensity physiological and psychological load stimulation, the body’s energy reserves are exhausted, and the recovery ability is reduced, which may cause fatigue. The changes of neurotransmitters in the recalling competition reflect the interaction of various related neurotransmitters released by the cerebral cortex, which plays a role in balancing and promoting the normal work of the nerve center.
Humanitarian Culture Of Professional Communicator As A Competitiveness Factor In Information Society

Humanitarian culture development of professional communicators’ personalities is regarded in the article as a fruitful strategy to raise alumni competitiveness in the Information society. Domestic and foreign scientists’ and practitioners’ vision of communicators professionalism factors are reviewed. The key components of the of a personality humanitarian culture are identified by the authors: ethical, aesthetic, civil, and methodological components; Humanitarian culture of personality is the basis and purpose of modern education. The results of empirical studies are introduced within the article to substantiate the vision of humanitarian culture as a factor influencing competitiveness potentialof PR, advertising, journalism, etc. alumni in the Information society(HeadHunter Group, St. Petersburg unit, provided us a report concerning demand in the employment market in the field of professional communication; we also surveyed opinions of Saint-Petersburg Advertisers Club participants within focus groups). Basing on the presented results we explicated major tendencies of employers’ demands for applicants from the examined professional area. As consequence of the research performed we state that the intentional development of professional communicator soft skills within the educational process should be determined as an efficient long-term strategy for professional communication alumni to prosper on a labour market in Digital age.
Korean Orthography of Loanwords and spelling problems with proper nouns from Slovenia

This paper firstly introduces The Korean Orthography of Loanwords and its history. Recently with more cultural and economic exchanges between Korea and Slovenia, the Korean Orthography guidelines for Slovene words are needed to guide words of Slovene origin when settling in Korean. Although Serbo-Croatian is not an official language of Slovenia, some Slovene words are currently written in Korean according to the guidelines for Serbo-Croatian in KOL. Therefore, we exam the current Korean orthography examples of Slovene words and suggest amendments based on the origin pronunciation. In order to avoid further confusion and to provide the foundation of Korean Orthography of Slovene words, we firstly demonstrated a comparison table of Slovene alphabet (abeceda) and Korean alphabet (Hangeul) supported with examples of Slovene words, and then suggested detailed guidelines on how to write Slovene words in Hangeul.