Reviewerly/exHarmony huggingface dataset:
Exploration of System Configuration in Effective Training of CNNs on GPGPUs

Convolutional Neural Networks (CNNs) have shown a great potential in different application domains including object detection, image classification, natural language processing, and speech recognition. Since the depth of the neural network architectures keep growing and the requirement of the large-scale dataset, to design a high-performance computing hardware for training CNNs is very necessary. In this paper, we measure the performance of different configuration on GPU platform and learning the patterns through training two CNNs architectures, LeNet and MiniNet, both perform the image classification. Observe the results of measurements, we indicate the correlation between L1D cache and the performance of GPUs during the training process. Also, we demonstrate that L2D cache slightly influences the performance. The network traffic intensity with both CNN models shows that each layer has distinct patterns of traffic intensity.
Integrating Environmental Education and ICT

Editorial for the special issue "Integrating Environmental Education and ICT"
Regulatory Challenges to Swiss Biobanks: A Qualitative Study

Regulatory Challenges to Swiss Biobanks: A Qualitative StudyBianka Dörr, Ramona M. Zeh, Laura M. Rodriguez Torres, and Jivko V. StoyanovBianka DörrKantonsspital St.Gallen, Rechtsdienst/General Counsel, St.GallenSearch for more papers by this author, Ramona M. ZehSchweizer Paraplegiker-Forschung NottwilSearch for more papers by this author, Laura M. Rodriguez TorresSchweizer Paraplegiker-Forschung NottwilHealth Sciences & Health Policy, Universität LuzernSearch for more papers by this author, and Jivko V. StoyanovSchweizer Paraplegiker-Forschung NottwilInstitut für chirurgische Technologien und Biomechanik, Universität BernSearch for more papers by this authorPublished Online:March 06, 2019https://doi.org/10.1024/1661-8157/a003190PDFView Full Text ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInReddit SectionsMoreBibliographyZeh RM, Rodriguez Torres LM, Dörr B,, Stoyanov JV: Regulatory Challenges to Swiss Biobanks: A Qualitative Study. Jusletter 2019, February 25. First citation in articleGoogle ScholarFiguresReferencesRelatedDetailsCited byGrenzen ärztlicher Zuständigkeit: Verzahnungen von Medizin und RechtThomas Gächter6 March 2019 | Praxis, Vol. 108, No. 3 Schwerpunktthema: Medizin und RechtVolume 108Issue 3März 2019ISSN: 1661-8157eISSN: 1661-8165 InformationPraxis (2019), 108, pp. 205-205 https://doi.org/10.1024/1661-8157/a003190.© 2019Hogrefe AGPDF download
Evaluation of High School Websites Based on Users

This study has as an objective to evaluate four educational sites directed to High School through the implementation of an assessing EQEWS Model, based on Santos, Cordón García and Gomez Díaz (2017). The evaluating quality model is based on ten criteria, according to a Likert scale of 0 to 4. The results gave rise to a quality ranking with the averages of the two best and the two worst sites. These four sites were evaluated by two hundred users who answered a questionnaire applied through of agree, disagree and undefined scale. They evaluated the performance and degree of satisfaction while consulting the websites. The results showed that usability and navigation were the first and second criteria to be preferred by the users. A majority of the users were satisfied with the usability and the navigation but dissatisfied with the criteria of update and communication of the websites they evaluated.
AI Generality and Spearman’s Law of Diminishing Returns

&#x0D; &#x0D; &#x0D; Many areas of AI today use benchmarks and competitions with larger and wider sets of tasks. This tries to deter AI systems (and research effort) from specialising to a single task, and encourage them to be prepared to solve previously unseen tasks. It is unclear, however, whether the methods with best performance are actually those that are most general and, in perspective, whether the trend moves towards more general AI systems. This question has a striking similarity with the analysis of the so-called positive manifold and general factors in the area of human intelligence. In this paper, we first show how the existence of a manifold (positive average pairwise task correlation) can also be analysed in AI, and how this relates to the notion of agent generality, from the individual and the populational points of view. From the populational perspective, we analyse the following question: is this manifold correlation higher for the most or for the least able group of agents? We contrast this analysis with one of the most controversial issues in human intelligence research, the so-called Spearman's Law of Diminishing Returns (SLODR), which basically states that the relevance of a general factor diminishes for most able human groups. We perform two empirical studies on these issues in AI. We analyse the results of the 2015 general video game AI (GVGAI) competition, with games as tasks and "controllers" as agents, and the results of a synthetic setting, with modified elementary cellular automata (ECA) rules as tasks and simple interactive programs as agents. In both cases, we see that SLODR doesnot appear. The data, and the use of just two scenarios, does not clearly support the reverse either, a Universal Law of Augmenting Returns (ULOAR), but calls for more experiments on this question.&#x0D; &#x0D; &#x0D;
Assessment of Health Management Information System Practice on HIV/AIDS Related Commodities in Public Health Facility Found in Harar Town, Ethiopia

Health information systems generate information to inform health planners and decision makers on what is happening at the delivery facilities.Health Management Information System (HMIS) improves health management; which is pre-requisite for good health care delivery services.HMIS is there to fill the gap between disease occurrences or health problems and the response of the health service providers.A successful Pharmaceutical Management Information System (PMIS) is able to synthesize the large volume of data generated by pharmaceutical management operations.This study was aim to assess the practice of HMIS on HIV/AIDS related commodities in public health facilities found in Harar town, Ethiopia from March 27-April 27, 2018.The study was conducted a cross sectional study design and used quantitative data collection techniques to gather the required information.Among all health facilities majority (87.5%) of health facilities, used HMIS in their store, while 12.5% of Health facilities was not used HMIS.Out of all public health, three fourth of health facilities (75%) had a computer to manage patient and drug related information and 12.5% health facilities had not computer and they were used manual records for managing information in their pharmacies.One third of health facilities (62.5%) were used daily ART register for recording information on the quantity of ART drugs dispensed.The study also revealed that one hospital was used only Stock card to record information on the quantity of ARV drugs in the store and 37.5% were used Bin card, 50%) were used both Stock card and Bin card.Lack of training, (Adjusted odds ratio (AOR) =3.02, 95% CI (1.8-4.6)),lack of skilled manpower (AOR=1.9,95% CI (1.2-2.5) and lack of budget (AOR=3.8,95%CI (2.1-5.7) were factors having statically significant associations with Health Management Information System Practice.
Take One for the Team

With a process- and interaction-focus, this study posited that the nature and flow of users' interactions on a social question & answer (SQA) thread can impact their collaborative information seeking outcomes. Interaction Process Analysis (IPA) was applied to investigate the types and outcomes of users' social-emotional interactions. Over 1,000 Stack Overflow postings were manually coded; Chi-square tests and logistic regressions were used for analysis. The study found that over half of the sample included IPA social-emotional acts. Interestingly, Disagrees , an act in IPA's negative social-emotional area, was the most frequently found category. Disagrees exhibited a significant negative relationship with the post-level outcome, post score, but a significant positive main effect and an interaction effect with a thread-level outcome, view count. The study identified two tension points: (1) potential benefits for the group of collaborative information seekers, at the slight expense of the individual who performed the negative social-emotional act; and (2) strains between the instrumental vs. social aspects of SQA. Research and practical implications of the findings were discussed.
On Mining Conditions using Encoder-decoder Networks

A condition is a constraint that determines when something holds.Mining them is paramount to understanding many sentences properly.There are a few pattern-based approaches that fall short because the patterns must be handcrafted and it is not easy to characterise unusual ways to express conditions; there is one machine-learning approach that requires specific-purpose dictionaries, taxonomies, and heuristics, works on opinion sentences only, and was evaluated on a small dataset with Japanese sentences on hotels.In this paper, we present an encoder-decoder model to mine conditions that does not have any of the previous drawbacks and outperforms the state of the art in terms of effectiveness.ding rent-a-car agents and flights to Australia when they see a sentence like "I'll rent a good car after I book my flight to Australia", independently from whether the user has already booked a flight or not.The previous examples clearly motivate the need for mining conditions, which has recently attracted the attention of some researchers.The naivest approaches search for user-defined patterns that build on connectives, verb tenses, and other common grammatical landmarks (Mausam et al., 2012;Chikersal et al., 2015).Such a handcrafted approach may result in high precision, but falls short regarding recall because condition connectives have a long-tail distribution, which implies that there are common conditions that do not fit common patterns (see the previous examples).There is only one machine-learning approach (Nakayama and Fujii, 2015), but it must be customised with several specific-purpose dictionaries, taxonomies, and heuristics, mines conditions regarding opinions only, and it was evaluated on a small dataset with 3 155 Japanese sentences on hotels.In this paper, we present an encoder-decoder approach to mine conditions, which has already proven to be useful in tasks that involve transforming a sequence into another, e.g.
Effective 2D/3D Registration using Curvilinear Saliency Features and Multi-Class SVM

Registering a single intensity image to a 3D geometric model represented by a set of depth images is still a challenge. Since depth images represent only the shape of the objects, in turn, the intensity image is relative to viewpoint, texture and lighting condition. Thus, it is essential to firstly bring 2D and 3D representations to common features and then match them to find the correct view. In this paper, we used the concept of curvilinear saliency, related to curvature estimation, for extracting the shape information of both modalities. However, matching the features extracted from an intensity image to thousand(s) of depth images rendered from a 3D model is an exhausting process. Consequently, we propose to cluster the depth images into groups based on Clustering Rule-based Algorithm (CRA). In order to reduce the matching space between the intensity and depth images, a 2D/3D registration framework based on multi-class Support Vector Machine (SVM) is then used. SVM predicts the closest class (i.e., a set of depth images) to the input image. Finally, the closest view is refined and verified by using RANSAC. The effectiveness of the proposed registration approach has been evaluated by using the public PASCAL3D+ dataset. The obtaining results show that the proposed algorithm provides a high precision with an average of 88%.
Kenyan Universities: On the Brink of Financial Insolvency

The financial crisis engulfing Kenyan universities has impacted operations and raised doubts about long-term sustainability. This crisis has a double impetus: at the national level, policy changes impacting the entire system, and at the institutional level, challenges in terms of financial governance. A short-term solution requires an immediate infusion of cash, but a long-term strategy entails a multipronged reform in the financing of higher education at national and institutional levels.
A note on restricted Boltzmann machines and variational autoencoders

This paper mainly introduces the theory and the abilities of generating images of restricted Boltzmann machines (RBMs) and variational autoencoders (VAEs). First, we introduce these models, which can be treated as the basic blocks of deep neural nets. Second, this paper introduces the ability of generating images based on these models. Lastly, this paper introduces the hybrid model based on RBMs and VAEs and another model called a Boltzmann encoded adversarial machine (BEAM). The experiments show the effectiveness of the hybrid models.
Do Students and Instructors See Cybersecurity the Same? A Comparison of Perceptions About Selected Cybersecurity Topics

Cybersecurity attacks continue to increase. This is particularly true for attacks based on social engineering or relying on the weaknesses of individuals as a means of gathering information or crafting an attack. Along with an increase in attacks there is likewise an increase in the number of calls for educating users about attacks and equipping them with the knowledge and skills for warding off attacks. Many entities advocate that institutions of higher education should be responsible for providing practical, applied security awareness instruction. This study compared student and instructor attitudes towards security to determine if there is an apathy on the part of students regarding security or if they are concerned about selected security topics, and if instructors perceive that practical, applied security instruction is a necessary component to their courses, or if security instruction belongs elsewhere. The relationship of student attitudes towards security was compared with those of instructors over six current security topics. When comparing students to instructors to students there was no significant difference between them on the topics of using anti-virus software, using a firewall, securing wireless networks, and using spam filters. The results seem to indicate that there is a significant difference between the perceptions of students and instructors regarding the security topics of protection from phishing and how to create a strong password.
Publisher Correction: Federated discovery and sharing of genomic data using Beacons

An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Meningkatkan Kemampuan Berbicara Melalui Metode Bercakap-cakap Berbantuan Media Audio Visual Pada Kelompok A PAUD Pertiwi I Kota Bengkulu

This research was aimed at improving speaking ability through conversation method via audio visual media. This research is a classroom action research that was conducted in two cycles with three meetings in every cycle. The subjects of this research were group A children consisting of 11 people where there were 5 males and 6 females. For collecting the data, researcher using observation technique was done through observation, while the data analysis was using statistical formula of percentage and mean test. The result of this research proved that through audio-visual media, it can improve the speaking ability. The average of children speaking ability in cycle I has enough criteria, while in cycle II the criteria of children speaking ability was good. From the result of this research, it is suggested for the further researcher to study with the big book and hand puppet media, because with the audio visual media, some children still difficult to utter sounds of language and clarify verbalism
Digital image steganography using LSB and pseudo-random technique

This paper purposed an image based steganography that uses the Least Significant Bits (LSB) techniques and pseudo-random encoding technique on images to enhance the security of the communication. In the L-SB approach, the fundamental thought is to replace the Least Significant Bits (LSB) of the cover picture with the Bits of the messages to be covered up without pulverizing the property of the cover image significantly. The LSB-based method is the most difficult one as it is hard to separate between the cover-object and stego-object if few LSB bits of the cover are replaced. In Pseudo-Random technique, an arbitrary key is utilized as a seed for the Pseudo-Random Number Generator is required in the inserting procedure. Both the systems utilized a stego-key while installing messages inside the cover picture. By utilizing the key, the chance of getting attacked by the attacker is reduced.
Pattern lock and the app based on context, ease of use aspect in comparison

Smartphone has been a popular device utilized to support productivity in human life and has become an integral part of human activities such as for communication, entertainment and social interaction. Those activities can be related to the information which needs to be protected because of its high privacy. Therefore, the smartphone needs a procedure that demonstrates an ability to secure that user information. However, more protective the scheme, more difficult the usage. Based on that pattern behavior, a good security scheme which support the users for easy security feature is urgently needed. One of such kind security features is authentication feature. In that manner, the ease of use aspect for acquiring the system by using an easy authentication mechanism becomes critically important. The ease of use intended is the efficiency of interaction between the user and that security feature for doing authentication including the time needed for doing that. This study developed the app which utilizes the context data, namely Geofilock. The context data meant is the location data based on the GPS and MAC address of the Wi-Fi. The system detected both context data and determined whether the smartphone needs to show the pattern screen lock as authentication feature or not, based on the context data analysis. The functionality of Geofilock works properly as shown by less user interaction number and less time needed by the user for obtaining the access. In addition, the app is easy to operate, as suggested by the user feedback.
Implementasi Web Service pada Sistem Host-To-Host Pembayaran Biaya Akademik

The implementation of the online education fee payment system is one of the efforts to improve the quality of academic services. The process of paying academic fees by involving banks has facilitated financial data processing for higher education institutions. But because academic payment data is stored in the banking system, the payment data information cannot be automatically recorded in academic information systems managed by higher education institutions. The lack of recognition of academic information systems managed by tertiary education with information systems on the payment of academic fees managed by banks, has caused disruption to the smooth running of the academic process. Students who have made payments through a bank must submit proof of payment to the academic department at the higher education institution, to manually input data on the academic information system. This activity takes time and is repeated every payment period. In order to overcome these problems, system integration is done using web service technology. The experimental results from the research have built 3 main services (apiDataTumpul, apiUpdate, apiReversal), which are implemented on a host-to-host system architecture. Web service implementation can integrate both systems, so that data updates between systems can be done in real time.
Building Conversational Interfaces

Conversation as a platform, or simply “bots,” is quickly becoming the present, and irrefutably the future, of modern user interfaces. However ungainly conversational interfaces may appear in their current state, chatbots are the perfect microcosm of what we expect from AI applications in the real world, from sentiment analysis and natural language processing to comprehension, questioning and answering mechanisms, visual interaction and search, topic modeling and entity extraction, multi-turn dialogs, transaction processing, multi-modal conversations, natural language generation—you name it! It takes an AI village to build a functioning, resilient, usable, and interactive conversational event.
DESIGN IMPLEMENTASI KECERDASAAN BUATAN PADA CHATBOT LINE DALAM PERMAINAN TEBAK ANGKA

Information technology provides a new change in the increasingly diverse world of games with play games that are fun when played and content is given in such an interesting way in packaging, artificial intelligence in games can provide interactive play between users and the system adds to the playing experience, the game world has entered Social media applications are some of the applications that were originally formed for relationships and now add realtime gaming features to play with friendships that have been added to the application. The game that will be designed using the chatbotline on social media Line starts from the game play flow about guessing a number that will later come out whether the guess results from the user are correct or wrong based on artificial intelligence and the highest score is the winner. The results obtained from game design provide the user experience for interaction in playing or with other users to increase the excitement in using social media.
Strategies for Establishing Harmony in Javanese Face-to-face Dialog in Purwa Shadow Puppet Performances

Harmony is a critical Javanese philosophical concept used to establish social relationships . In face - to - face communication, the principle of harmony is enacted in an attempt to ensure the social relations between the speakers remain harmonious, peaceful, and free from disputes. In face - to - face discourse, the selection of speech acts that establishes these aspects is a strategic communication tool. Every speech act states a different level of politeness when addressed to different speech partner. Wayang kulit, a leading puppet theater performance of the Javanese, contains face - to - face dialogs that enact such efforts to maintain harmony. This study examines these dialogs between wayang kulit characters to better understand the role that language plays in establishing harmony in this art form of puppet theater. The study uses the classification of speech acts by Searle (1975). It is observed that the choice of illocutionary speech acts plays a role in controlling the occurrence of disputes in communication. These speech acts are also studied from the perspective of the theories of politeness from Brown and Levinson (1978) and Leech (1983) ; (2014) . We argue that politeness in speech is used to express the values of Javanese harmony. The results of this study provide practical insight into the principle of Javanese harmony, represented in face - to - face communication in a purwa shadow puppet performance, and also represents a universal value appropriate for the realization of friendly social relationships more broadly. Keywords: Javanese harmony; politeness strategy; speech acts; wayang purwa