Reviewerly/exHarmony huggingface dataset:
BERTering RAMS: What and How Much does BERT Already Know About Event Arguments? - A Study on the RAMS Dataset

Using the attention map based probing framework from (Clark et al., 2019), we observe that, on the RAMS dataset (Ebner et al., 2020) 1 , BERT's attention heads 2 have modest but well above-chance ability to spot event arguments sans any training or domain finetuning, varying from a low of 17.77% for Place to a high of 51.61% for Artifact.Next, we find that linear combinations of these heads, estimated with ≈11% of available total event argument detection supervision, can push performance wellhigher for some roles -highest two being Victim (68.29%Accuracy) and Artifact (58.82%Accuracy).Furthermore, we investigate how well our methods do for cross-sentence event arguments.We propose a procedure to isolate "best heads" for cross-sentence argument detection separately of those for intra-sentence arguments.The heads thus estimated have superior cross-sentence performance compared to their jointly estimated equivalents, albeit only under the unrealistic assumption that we already know the argument is present in another sentence.Lastly, we seek to isolate to what extent our numbers stem from lexical frequency based associations between gold arguments and roles.We propose NONCE, a scheme to create adversarial test examples by replacing gold arguments with randomly generated "nonce" words.We find that learnt linear combinations are robust to NONCE, though individual best heads can be more sensitive.
Musical acoustics education in Indonesia

As the world's largest archipelago, Indonesia has a vast natural and cultural diversity, and hence a huge variety of musical instruments. Musical acoustics is, therefore, an important field of research and study in Indonesia. However, this subject is still rarely touched in undergraduate education. To help improve the quality of musical acoustics education in Indonesia, we have developed several methods. First, we design a series of final projects for undergraduate engineering students, where they can implement various methods and techniques previously studied in class (e.g., system identification, experimental methods, computational analysis, engineering design) into actual practice. These projects help the students to gain a more comprehensive perspective on the various applications of their knowledge. Second, we form inter-disciplinary collaborations, where the students can learn with musicians, craftsmen, scholars, and conservators. Such collaborations help the students to understand that, by studying the musical instruments, they are supporting the conservation of their own heritage. We have been applying these methods with our students in Universitas Gadjah Mada, particularly in our research on the bundengan, a very unique bamboo-based musical instrument. Our experience indicates that these approaches can be effective to help improve the quality of musical acoustics education in Indonesia.
PENINGKATKAN HASIL BELAJAR SISWA MELALUI PEMBELAJARAN BLENDED LEARNING MATERI LISTRIK DINAMIS

Blended learning is a learning strategy that utilizes internet technology combined with face to face in class. The purpose of this study was to improve student learning outcomes in the material of Class XII Dynamic Electricity in SMA N 2 Tondano. This research is an experimental study with the design of the One Group Pretest-posttest design. The sample taken was Class XII IPA as an Experiment class with 22 students. Data is collected by conducting research observations and giving tests. The data were analyzed from the posttest results and from the process assessment students were in the good category 66% -79% and very good 80% -100%. In the normality test, researchers used the Liliefors test in Lcount = 0.162 while Ltable = 0.184 because Lcount ttable, so that it can be concluded that the Blended Learning learning model has an effect on student learning achievement.
Development of secondary vocational education in modern Russia

The future of secondary vocational education is uncertain. As part of the development of regional training systems, models are being reviewed in which the training of workers is carried out at enterprises, and the training of middle-level specialists is carried out at universities. In these conditions, it is especially important to integrate colleges into the industrial ecosystem of the region, to develop the base of professional training for adults. Scientific, pedagogical and methodological works are analyzed, on the basis of the analysis, generalization and systematization of results, periodization of information is carried out. The main stages of development of secondary vocational education presented. Each stage has its own periodization. The time frame of the stages depends on the changes taking place in the socio-economic and political spheres, which is reflected in the education system. The stages are characterized and described: the reasons are identified; new elements, objects and subjects of educational relations have been identified; new concepts are presented. The description of the stages allows you to trace the trends and identify the dynamics in the development of secondary vocational education. Differentiation of secondary education is the most likely scenario for the development of secondary vocational education for the next decade. It was revealed that a strategically important task for the next decade is to provide of secondary vocational education system with management mechanisms that allow timely and adequate response to changes in external conditions both in the labor market and in the field of technology.
Wide-Spaced Floodplain Sediment Sampling Covering the Whole of China: Pilot Survey for International Geochemical Mapping

In support of IGCP 259 (International Geochemical Mapping) and IGCP 360 (Global Geochemical Baselines), a pioneer project designed to test the feasibility of wide-spaced global geochemical mapping: “Environmental Geochemical Monitoring Networks and Dynamic Geochemical Maps in China” (EGMON), was launched in 1992. The aims of this project are to study the suitability and feasibility of floodplain sediment as a global sampling medium, to develop the methodologies of wide-spaced sampling of such sediment and to study the broad geochemical patterns in China in order to obtain an overall assessment of the country’s mineral resource potential and an overview of its environment. 529 floodplain sediment samples with an average density of 1 sample per 15000 km were taken all over China. Geochemical patterns revealed by wide-spaced floodplain sediment sampling show great coincidence with RGNR (Regional Geochemistry-National Reconnaissance, China’s national geochemical mapping program) and SEBV (Soil Environmental Background Values in China) broad geochemical patterns. Geochemical maps produced by data from wide-spaced floodplain sediment sampling show that there is an important Pt-Pd geochemical province in Southwestern of China. Changes in Hg and P distribution patterns in surface and deep samples are noted; Hg and P pollution is occurring over large areas in China. An area of soil vulnerability is identified in Southeastern China. A chemical time bomb of aluminum similar to the one in central Europe in Southeastern China is predicted preliminarily. Large scale forest dieback may occur within these areas in the future.
Quantitative analysis of the kowangan resonator in the bundengan musical instrument

This paper presents a quantitative analysis of the kowangan, a shield-shaped resonator used in the bundengan, a bamboo-based musical instrument from Indonesia. The kowangan resonator is made from a woven lattice of bamboo splits, covered with layers of bamboo sheaths, and then secured with palm sugar fibers. To gain insight into how this resonator works, it is required to first determine the shape of the resonator. Previously, we have developed a computational model of the resonator shape, where the distribution of curvatures in the resonator surface is driven by the minimization of potential bending energy in the woven lattice of bamboo splits. In the present study, we report the latest development in this work, where we have designed and built an optical imaging setup to measure the actual shape of a real kowangan resonator. Our measurement data allows for further improvements on our computational model, and consequently a deeper insight into the physics of the kowangan. The ultimate aim of this study is to build a full virtual prototype, not only of the kowangan resonator, but also of the whole bundengan instrument, which will be useful for the conservation and documentation of this endangered cultural heritage.
Preventing Fault Attack on Stream Ciphers by Fault Detection and Correction

Maiti, Swapan Chowdhury, Dipanwita RoyStream ciphers have been popular targets of fault-based cryptanalysis. Almost all of the winners of the eSTREAM project have been cryptanalyzed successfully using fault attack techniques. There exist a very little research work in the contemporary literature to prevent fault attacks on stream ciphers and most of them are cipher specific. Most of the existing related work concentrates only on fault detection. In this work, we propose a generic strategy to prevent fault attacks on a stream cipher by fault detection and correction. The scheme guarantees $$100\%$$ coverage of detection and correction in both single-bit and double-bit fault. The scheme is validated taking Grain-128 as a hardware efficient stream cipher in the eSTREAM portfolio along with FPGA implementation.
Left Lyndon Tree Construction.

We extend the left-to-right Lyndon factorisation of a word to the left Lyn-don tree construction of a Lyndon word. It yields an algorithm to sort the prefixes of a Lyndon word according to the infinite ordering defined by Dolce et al. (2019). A straightforward variant computes the left Lyndon forest of a word. All algorithms run in linear time on a general alphabet (letter-comparison model).
ASPIRATED AND UNASPIRATED STOPS PRODUCED BY NON-NATIVE ENGLISH TEACHERS AT A PESANTREN IN ACEH, INDONESIA

The English had spread by the rise of the colonial empire a long time ago, then spread by American's influence and power around the world until today and last spread because of the technology development and internet. Those spread gave many differences of English user itself and becoming English to be many varieties including nations which use English as the first language such as British English, American English, Australian English and else. Much more varieties were born of some new Englishes used as a second language such as Malaysian English, Singaporean English, and others. Indonesia does not claim legally English as a second language but many Indonesian schools teach English formally including “pesantren”. Pesantren is named for Islamic boarding school, there are many pesantrens in Indonesia including Aceh. There is one of Aceh’s pesantrens using English as the second language, located in North Aceh named Almuslimun Islamic Boarding School. This institution was selected as research location by the researcher for knowing aspirated and unaspirated stops of [k], [t] and [p] that are produced by non-native teachers. The researcher interviewed three participants in five to ten minutes per interview, it recorded in an audio recorder for evidence amount varieties of [k], [t], and [p] produced of this pesantren. Based on the data analysis the researcher analyzed that the nonnative English teacher of Almuslimun Islamic Boarding School Lhoksukon of North Aceh has some differences aspirated and unaspirated stops among participants .
Solving Travelling Salesman Problem using Discreet Social Group Optimization

In this paper, a modified version of social group optimization (SGO) has been proposed i.e discreet social group optimization (DSGO), to find out the optimal path for travelling salesman problem (TSP), which is one of the well known NP-Hard problems. Its performance has been compared with Genetic Algorithm (GA) and Discrete Particle Swarm Optimization (DPSO) and the results found are competitive. It is observed that DSGO converges faster than DPSO and GA and also provides more optimal results for bigger size data.
Overview description of the Gambian GABECE Educational Data and associated algorithms and unsupervized learning process

In this paper we want to find a statistical rule that assigns a passing or failing grade to students who undertook at least three exams out of four in a national exam, instead of completely dismissing them students. While it is cruel to declare them as failing, especially if the reason for their absence it not intentional, they should have demonstrated enough merit in the three exams taken to deserve a chance to be declared passing. We use a special classification method and nearest neighbors methods based on the average grade and on the most modal grade to build a statistical rule in a supervised learning process. The study is built on the national GABECE educational data which is a considerable data covering seven years and all the six regions of the Gambia.
An empirical investigation on the challenges of creating custom static analysis rules for defect localization

Custom static analysis rules, i.e., rules specific for one or more applications, have been successfully applied to perform corrective and preventive software maintenance. Pattern-driven maintenance (PDM) is a method designed to support the creation of such rules during software maintenance. However, as PDM was recently proposed, few maintainers have reported on its usage. Hence, the challenges and skills needed to apply PDM properly are unknown. In this paper, we investigate the challenges faced by maintainers on applying PDM for creating custom static analysis rules for defect localization. We conducted an observational study on novice maintainers creating custom static analysis rules by applying PDM. The study was divided into three tasks: (i) identifying a defect pattern, (ii) programming a static analysis rule to locate instances of the pattern, and (iii) verifying the located instances. We analyzed the efficiency and acceptance of maintainers on applying PDM and their comments on task challenges. We observed that previous knowledge on debugging, the subject software, and related technologies influenced the performance of maintainers as well as the time to learn the technology involved in rule programming. The results strengthen our confidence that PDM can help maintainers in producing custom static analysis rules for locating defects. However, a proper selection and training of maintainers is needed to apply PDM effectively. Also, using a higher level of abstraction can ease static analysis rule programming for novice maintainers.
A Cascaded Approach for Keyframes Extraction from Videos

Keyframes extraction, a fundamental problem in video processing and analysis, has remained a challenge to date. In this paper, we introduce a novel method to effectively extract keyframes of a video. It consists of four steps. At first, we generate initial clips for the classified frames, based on consistent content within a clip. Using empirical evidence, we design an adaptive window length for the frame difference processing which outputs the initial keyframes then. We further remove the frames with meaningless information (e.g., black screen) in initial clips and initial keyframes. To achieve satisfactory keyframes, we finally map the current keyframes to the space of current clips and optimize the keyframes based on similarity. Extensive experiments show that our method outperforms to state-of-the-art keyframe extraction techniques with an average of $$96.84\%$$ on precision and $$81.55\%$$ on $$F_1$$ .
NLP in Customer Service

Customer service is a multi-billion dollar industry. The cost of bad customer experience is estimated to be a trillion dollar globally (https://blog.hubspot.com/service/customer-service-stats). Customer service has its early origins in the form of call centers in the 1960s. The need for customer service grew, and today customer support has become a sizeable portion of any consumer organization. Customers can contact organizations in a multi-modal way, through the Web, apps, voice, IVR, or calls. In this chapter, we will look at the core problems that NLP solves in human-assisted customer service via chats and calls.
Role of Online Platform in Creating Awareness during COVID-19

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Experimental and numerical studies of boat waterjets with increased seakeeping performance

Object and purpose of research. The object of the research is a fundamentally new waterjet, intended for installation on ships of increased seakeeping performance with discrete-variable bottom deadrise. The purpose of the research is to develop and test three waterjet designs that can be installed on vessels with large deadrise, operating in severe weather conditions.&#x0D; Materials and methods. Experimental data of waterjet tests as a part of self-propelled models obtained in deep-water and cavitation test tanks of KSRC. Numerical simulation of the flow in water conduits of full-scale vessel taking into account the waterjet performance.&#x0D; Main results. As a result of the performed experimental and computational studies, the characteristics of three waterjet designs with partial-pressure water inlets were obtained: two waterjets with isolated single-elbow water ducts and inlets on the bottom section with medium deadrise, "II"design; two waterjets with combined water duct and inlets on the bottom section with maximum deadrise and double jet, “X” design; single waterjet with bifurcating two-elbow water duct and a pair of water inlets on the bottom section with maximum deadrise, “Y” design.&#x0D; Conclusion. The studies have shown that all the developed innovative waterjet designs are practically equal to conventional ones (or even better than them), and air suction creates a smooth, rather than a sharp force decrease on the impeller. The preference is given to a high-pressure water inlet with a bifurcated water inlet and a combined water conduit, because in intense waves, even if one of the inlets is aerated, the vessel will not abruptly lose speed or run off the course.
Developing Immersion Virtual Reality for Supporting the Students to Learn Concepts of Starry Sky Unit

The students often encounter many learning dilemma in astronomy concepts. Due to its immersion and situated cognition in the learning process, VR technology has a promising potential for reducing science misconception from macro view to micro view. The purpose of this study was to develop an immersion VR for supporting the learners to learn basic astronomy concepts in elementary school. This study employed HTC vive as immersive head-mounted VR devices, and adopted ADDIE model to develop VR learning system of virtual astronomy museum. After the system was finished, an initial evaluation was conducted by inviting the elementary school's students to test and experts to assess it suitability in science learning. The results revealed that this system is suitable for applying in learning of Starry Sky Unit if the classroom equipped with enough HTC vive devices. In the future, this study will launch a learning experiment in an elementary school for assessing its effectiveness including learning achievement and attitudes.
A Method of Determining Membership Function in Fuzzy Comprehensive Evaluation

Choosing different membership functions in fuzzy comprehensive evaluation will affect the evaluation results. The use of an inappropriate membership function may lead to large deviations in the evaluation results. Discuss the methods and steps of building the membership function for a practical application of risk assessment. Select some sample points and calculate the difference between the original input value and the deblurred calculated value. Take appropriate measures to gradually reduce or eliminate the deviation, and ultimately make the deviation within an appropriate range. Conclusions are drawn by calculating sample points: The anti-fuzzy evaluation results are consistent with the original input values, and the final membership degree reached the expected requirements.
Exploration and Research on the Application of Hybrid Teaching Mode based on OBE —Take “Computer Network” Course as an Example

Efficient classroom; Hybrid teaching mode; Computational thinking
Blockchain Based Data Storage Mechanism in Cyber Physical System

As cyber-physical systems (CPS) flourish, the data security issues it encounters have increasingly become a research focus in the field. And it has received widespread attention from academia and industry. Blockchain technology has the characteristics of decentralization, openness, transparency, reliability and non-tampering. It has natural advantages in solving the security of the CPS. Thus, this paper first analyzes the security risks associated with data storage in cyber-physical systems and proposes the use of blockchain technology to ensure the secure storage of data in CPS. In traditional blockchains, the data layer uses Merkle hash trees to store data; however, the Merkle hash tree cannot batch add/delete and provide non-membership proof. In order to solve this problem, this paper improves the accumulator and uses the combination of accumulator and Merkle hash tree to provide batch addition/removal and non-membership proof. This paper constructs a Merkle hash tree accumulator, and proves that the scheme is feasible through correctness and security.
An Architecture for Synchronizing Photonic Bell State Measurements Across Lossy, Time-Varying Channels

We propose a means for synchronizing picosecond-class photon generation at a Bell State Measurement device attempting to perform entanglement swapping with received photons that have been transmitted through the atmosphere from a moving platform.
Information worlds of people with deafblindness

Introduction. This paper explores the information world of people with deafblindness, i.e., a diverse group of people whose vision and hearing loss are of such severity that it is hard for their impaired senses to compensate for each other. Method. An extensive interview study conducted in five European countries. It has examined the level, form and accessibility of information available to people with deafblindness. This paper draws on these interviews, and other material and observations, in providing general characteristics and the results presented here. However, the data and quotations presented in this paper are from the interviews conducted by the authors in Sweden. Analysis. The analysis of the interviews was done using the coding scheme based on the concepts of small worlds and the theory of information world looking for emerging themes. The scheme was flexible and additional themes were included into it during analysis when they emerged from the data. Results. The study found that while the lives of most people are facilitated by an abundance of information in various forms and often in taken for granted format, this is not the case for those members of the society with deafblindness who need such information the most. The means of signification and information sources are limited for people with deafblindness not only because of dual sensory impairments, but mainly because of the limited opportunities afforded outside their small worlds. Conclusions. The improvement of information infrastructures aimed at people with deafblindness will benefit the society and its democratic foundations as a whole and will strengthen the participation of people with deafblindness.