Miracle-dz/UniFAR-FTUs huggingface dataset:
Promoting EFL Young Learners’ Higher Order Thinking Skills (HOTs) through Interactive Digital Storytelling: A Breakthrough to Face Industrial Revolution 4.0 in Indonesia

The Curriculum 2013 consists of four agendas, namely: Literacy, Character Education, 4C (Collaborative, Communicative, Critical Thinking, and Creativity), and Higher Order Thinking Skills (HOTs) as realization of Industrial Revolution 4.0 in Indonesia. Dealing with HOTs implementation, it has not shown optimal result due to problems faced by the teacher particularly learning strategies. Therefore, this paper presents the research findings on how Interactive Digital Storytelling was implemented to promote EFL young learners’ HOTs. The design of this study is Classroom Action Research with three instruments to collect data, such as classroom observation, interview with teacher and students, and document analysis. One teacher and one class of 7 graders were involved as the subject of this study. The collected data were analysed based on the principles of Bloom's Taxonomy and Interactive Digital Storytelling theoretical frameworks. The result of data analysis reveals that the students’ HOTs were promoted although in the level of analysis and evaluation. In terms of analysis, the students could identify and guess what happened to the next story when the teacher paused the video. Meanwhile, the evaluation level was seen from their arguments of the strength and weaknesses of the characters. Creating level was not clearly found since the students were still confused to give solution if they face the same problems with the character in the story. Being HOTs through learning experience give the students exposures to face industrial revolution 4.0. However, to implement this strategy, the teacher faced problems in providing appropriate digital facilities.
Automated Essay Scoring (AES); A Semantic Analysis Inspired Machine Learning Approach: An automated essay scoring system using semantic analysis and machine learning is presented in this research

With the advancements in Artificial Intelligence (AI), ‘Automated Essay Scoring’ (AES) systems have become more and more prevalent in recent years. This research proposes an extension to the Coh-Metrix algorithm AES, with a focus on feature lists. Technical features, such as, referential cohesion, lexical diversity, and syntactic complexity are evaluated. Furthermore, it proposes the use of four novel semantic measures, including estimating the topic overlap between an essay and its brief. A prototype implementation, using neural networks, is used to test the individual and comparative performance of the newly proposed AES system. The results show a considerable improvement on the results obtained in the existing research for the original Coh-Metrix algorithm; from an adjacent accuracy of 91%, to an adjacent accuracy of 97.5% (and a QWK of 0.822). This suggests that the new features and the proposed system have the potential to improve essay grading and would be a good area for further research
Raman Scattering and Phase Transition of Ammonium Nitrates

Polarized Raman spectra of single crystals are observed for the room-temperature phase NH4NO3(IV). The spectra in the low-frequency lattice vibration region as well as in the internal vibration region are well interpreted based on D2h13 structure. Raman spectra of powdered samples are measured at various temperatures covering whole phases NH4NO3 I–V. A characteristic feature of Raman spectrum is clarified for each phase. An abrupt spectral change occurs in the phase transition, indicating a first order transition. The splitting of Ag and B1g components of ν3 (asymmetric stretching mode of NO3− ion) in NH4NO3 is quite large, due to the strong interionic interaction between NH4+ and NO3− ions.
An EPQ model with two-level trade credit and multivariate demand incorporating the effect of system improvement and preservation technology

Nowadays every decision-maker from production industries is more concern with the system improvement. They also focused in adopting different marketing strategies to make their production system as successful system. In the current study, a production quantity model is explored for deteriorating item by considering volume flexibility. Multivariate demand is considered in the model which is the function of promotional efforts, selling price, and credit period. An additional investment is made by the decision-maker to improve the system quality and reduce the deterioration rate. Whole of the analysis is carried out under the effect of inflation. Profit function of the current study is nonlinear so a search algorithm is suggested to obtain the optimal values of selling price, production time, and production rate. At the end, numerical analysis along with sensitivity is executed to validate the model and to observe the effect of different parameters on the optimal solution of the problem.
VOH.CoLAB at TREC 2020 Health Misinformation Track

In this paper, we describe the participation of VOH.CoLAB in the TREC 2020 Health Misinformation Track (HMT). This year’s edition of the track focused on two main Consumer Health Search tasks regarding COVID-19 questions: 1) to find misinformation; 2) to find relevant, credible, and correct information. In our participation in the HMT track, we submitted runs to both tasks, performing experiments to explore two main research hypothesis: 1) Does misinformation avoid mentioning the evidence text? 2) Does correct and credible information look similar to the evidence text? To explore these two complementary ideas we represent both the documents and the evidence as vectors and compute scores using a formula based on Kullback-Leibler divergence.
TREC 2020 NEWS Track Background Linking Task

The Background Linking task is a problem that focuses on providing users with suggestions for articles to read next, when the user is reading a news article. The suggested articles should provide adequate context and background information for the article that the user is currently reading. In this paper, we describe several methods that we explored for this task, and report their results
Experimental observation of attractive and repulsive thermal forces on microcantilevers

We report measurements of thermal forces acting on a microcantilever near a substrate surface in air. In magnitude and direction, the observed force depends on the temperatures of substrate and cantilever, which were varied independently. The data are explained by considering interface scattering at the substrate surface as expressed by an accommodation coefficient of less than unity. The observed forces effectively act in the direction of the thermal gradient—opposite to thermophoresis of free particles suspended in a gas. The observation thus exhibits similarities with the so-called negative thermophoresis.
Improving Nafion/zeolite nanocomposite with a CF3SO3- based ionic liquid for PEMFC application

Nafion/zeolite/ionic liquid composite membranes were prepared by the casting method. A fixed 3 wt% of the HZSM-5 zeolite was added to the polymer as well as the C16MI.CF3SO3 ionic liquid (IL) in various amounts in the range 6–30 wt%. The presence of zeolite and the IL in the Nafion matrix improved water absorption and proton conductivity and retained thermal stability when compared to the pure Nafion membrane (ND2020). The composite membrane, containing 5 wt% IL (N/HZ/IL-0.5), showed protonic conductivity two and half times higher than the pure Nafion. The composite membranes were tested in a single proton exchange membrane fuel cell (PEMFC) operating at 80 °C and 100 °C under low humidity conditions. The PEMFC test results indicated that the N/HZ/IL-0.5 composite membrane was the most stable material and showed better performance than the ND2020 membrane at 100 °C. The N/HZ/IL-0.5 sample showed a power density and current density approximately 200% higher than the pure Nafion membrane. These results indicate that the N/HZ/IL-0.5 composite is a material particularly wellsuited to be used in PEMFC membranes operating at temperatures close to 100 C.
Reducing Energy in GPGPUs through Approximate Trivial Bypassing

General-purpose computing using graphics processing units (GPGPUs) is an attractive option for acceleration of applications with massively data-parallel tasks. While performance of modern GPGPUs is increasing rapidly, the power consumption of these devices is becoming a major concern. In particular, execution units and register file are among the top three most power-hungry components in GPGPUs. In this work, we exploit trivial instructions to reduce power consumption in GPGPUs. Trivial instructions are those instructions that do not need computations, i.e., multiplication by one. We found that, during the course of a program's execution, a GPGPU executes many trivial instructions. Execution of these instructions wastes power unnecessarily. In this work, we propose trivial bypassing which skips execution of trivial instructions and avoids unnecessary allocation of resources for trivial instructions. By power gating execution units and skipping trivial computing, trivial bypassing reduces both static and dynamic power. Also, trivial bypassing reduces dynamic energy of register file by avoiding access to register file for source and/or destination operands of trivial instructions. While trivial bypassing reduces energy of GPGPUs, it has detrimental impact on performance as a power-gated execution unit requires several cycles to resume its normal operation. Conventional warp schedulers are oblivious to the status of execution units. We propose a new warp scheduler that prioritizes warps based on availability of execution units. We also propose a set of new power management techniques to reduce performance penalty of power gating, further. To increase energy saving of trivial bypassing, we also propose approximating operands of instructions. We offer a set of new techniques to approximate both integer and floating-point instructions and increase the pool of trivial instructions. Our evaluations using a diverse set of benchmarks reveal that our proposed techniques are able to reduce energy of execution units by 11.2% and dynamic energy of register file by 12.2% with minimal performance and quality degradation.
Exploring the Triggering Modes of Spectrum-Based Fault Localization: An Industrial Case

Fault localization is important for software development and maintenance. Among existing techniques, spectrum-based fault localization (SBFL) is effective to locate bugs based on the execution coverage of passed and failed tests. However, current SBFL tools require the execution of all tests before suggesting any ranked list of suspicious locations. In reality, such all-test execution can be very time-consuming; SBFL’s outputs based on the whole-suite execution can significantly delay developers’ debugging activities and jeopardize their productivity.For this paper, we were curious whether we can apply SBFL immediately after seeing one or several test failures, instead of waiting for all tests to finish their run. Specifically, with 28 injected bugs and 13 real bugs in a close-sourced software product, we collected the statement-level coverage for each test case, and investigated the usage of 25 alternative SBFL formulas. We triggered SBFL in five modes: (i) after the first test failure, (ii) after the first failure and some extra passed tests, (iii) after every test failure, (iv) at a specified time interval (e.g., every 2 minutes), or (v) after the complete execution of all tests.Our study shows interesting results. Compared with whole-suite execution, triggering SBFL formulas earlier based on partial execution helps locate bugs more effectively. Among the five modes, the first-failure-driven mode works best. Additionally, we conducted similar experiments on 57 real bugs from the Defects4J dataset and observed similar phenomena. Our observations imply that instead of waiting for the completion of all test runs, it is quite promising to apply SBFL formulas immediately after the initial test failure. In this way, developers are likely to get better suggestions within a shorter period of time. Our research will help developers better adopt SBFL in practice.
A Graph-Based Approach for Semantic Code Search

Code search is a challenging problem that involves both natural language processing and information retrieval. In this paper, we propose a model that combines graph-based machine learning with transformer models and traditional search engines like Elasticsearch and apply it to CodeSearchNet, a competition for semantic code search. We apply hyperbolic embeddings and graph clustering on our data to incorporate the graph structure of code repositories into the search model. Our model is evaluated using normalized discounted cumulative gain (NDCG) and outperforms baseline language models and traditional search engines.
The University of Maryland at the TREC 2020 Fair Ranking Track

In this paper, we describe our submission to the second Fair Ranking Track at TREC 2020. We leverage the ﬂexibility of listwise Learning to Rank (LtR) techniques which directly optimize towards a custom evaluation measure. To do this, we developed an objective function that balances between relevance and fairness.
CASSIE: Curve and Surface Sketching in Immersive Environments

We present CASSIE, a conceptual modeling system in VR that leverages freehand mid-air sketching, and a novel 3D optimization framework to create connected curve network armatures, predictively surfaced using patches with C0 continuity. Our system provides a judicious balance of interactivity and automation, providing a homogeneous 3D drawing interface for a mix of freehand curves, curve networks, and surface patches. Our system encourages and aids users in drawing consistent networks of curves, easing the transition from freehand ideation to concept modeling. A comprehensive user study with professional designers as well as amateurs (N=12), and a diverse gallery of 3D models, show our armature and patch functionality to offer a user experience and expressivity on par with freehand ideation, while creating sophisticated concept models for downstream applications.
Effect of Employees’ Nonmonetary Motivational Factors on Job Performance in Public Institutions: A Case of Arusha City Council, Tanzania

The study was carried out to examine the effect of employees’ nonmonetary motivational factors on job performance in Arusha City Council. This study used quantitative approach and descriptive survey design was used as research design. Simple random sampling method was used in this research to guarantee fair representation and widespread results for the general population. The type of data collected was primary data and the collection tool was a self-administered questionnaire given to selected sample respondents from Arusha City Council. Data was analyzed and presented in tables and figures with the help of descriptive analysis under SPSS version 25. The findings revealed positive relationship between Recognition and Rewards and Job Performance. The findings showed positive relationship between Job Security and Job Performance. Also, the study unveiled that there is significant relationship between Training and Job Performance. This study recommends that Tanzania's government formulate labor policies to ensure that employees in the organizations for which they are working are treated with utmost importance and to address their requirements not only for money, but also nonmonetary by their organizations, which recognize them and allow their autonomy.
Analysis of wind time series using network science and multifractal concept

This work presents two applications of using complex networks to study wind speed in Switzerland, collected from 119 measurement stations. The first one uses daily correlation network on high frequency wind speed (10-min). Then, these daily correlation networks are quantified using the connectivity density, which is studied using multifractal analysis in order to investigate the temporal evolution of the interaction between stations. The study reveals that the daily connectivity of the correlation-based network is persistent for any correlation threshold. Further, the multifractality degree is higher for larger absolute values of the correlation threshold [3].
Gas-liquid Mass Transfer Enhancement in a Surface Aeration Stirred Slurry Reactors

This paper postulates four possible mechanisms for the enhancement of gas-liquid (G-L) mass transfer in slurry reactors: (1) hydrodynamic effect, (2) shuttling, (3) stabilization of bubbles, and (4) reaction enhancement. Mass transfer and reactivity experiments using two different slurry systems and two different Pd-catalysed reactions, i.e., oxidation of glucose (aqueous phase) and hydrogenation of α-methyl styrene (organic phase), with both hydrophobic carbon and hydrophilic silica catalyst supports, were performed in a laboratory scale surface aeration reactor with a flat gas-liquid interface. Physical and reaction enhancement have been distinguished successfully. The experimental results show that the level of catalyst support hydrophobicity has a strong influence on the rate of mass transfer.
Exploring AMD GPU scheduling details by experimenting with “worst practices”

Graphics processing units (GPUs) have been the target of a significant body of recent real-time research, but research is often hampered by the “black box” nature of GPU hardware and software. Now that one GPU manufacturer, AMD, has embraced an open-source software stack, one may expect an increased amount of real-time research to use AMD GPUs. Reality, however, is more complicated. Without understanding where internal details may differ, researchers have no basis for assuming that observations made using NVIDIA GPUs will continue to hold for AMD GPUs. Additionally, the openness of AMD’s software does not mean that their scheduling behavior is obvious, especially due to sparse, scattered documentation. In this paper, we gather the disparate pieces of documentation into a single coherent source that provides an end-to-end description of how compute work is scheduled on AMD GPUs. In doing so, we start with a concrete demonstration of how incorrect management triggers extreme worst-case behavior in shared AMD GPUs. Subsequently, we explain the internal scheduling rules for AMD GPUs, how they led to the “worst practices,” and how to correctly manage some of the most performance-critical factors in AMD GPU sharing.
Race walking technique and Judging-the final report ofthe International Athletic Foundation research project

• • / / ; 19.S9 the Inlet national Athletic Foundation commissioned a . scientific studv if race walking in order to provide informalion for athletes, coaches and officials. The auihors. working under the supervision tf Ptof. Peler Brüggemann al the Institute of Alhlelics of the German Sport University in Cologne, gathered dala in both compelilion and laboratory situations. Their objectives were lo imder.stand how competiiors achieved increased velocity; to confttm whelher or not this could be done whilst slayini> wiihin the rules as set oul bv the IAAF; and fo see if judges could accurately and consislenilv detect infringements of the rules. In their conclusion the authors recommend a change to the rule regarding the siraighlening <f the knee on each stride. Thc reaction if the IAAF Walking Committee lo this propo.sal has been included at the end ofthis article. * *
Hercosett‐57 resin deposition on wool and modified wools

A study has been made of the uptake of a commercial polyaminoamide resin (Hercosett-57) by wool fibers. The effect of various chemical pretreatments on the uptake of the resin was monitored in order to investigate the mechanism of bonding of the polymer with the wool. From the results obtained it would appear that the deposition of the resin is not controlled by simple chemical reaction with the fiber. Surface treatments to the wool fibers and adhesion play a more important part in the resin-bonding process. Insoluble chlorinating agents such as DCCA and Chloramine T proved more effective in bringing about resin deposition than did the more widely used acid chlorination treatments, which use free chlorine in solution.
Two central processes in the development of metazoans are the production of multiple cell types and the morphogenesis of complex multicellular structures. Morphogenesis requires that reproducible homotypic and heterotypic cellular contacts and interactions be established following precise cell recog

Two central processes in the development of metazoans are the production of multiple cell types and the morphogenesis of complex multicellular structures. Morphogenesis requires that reproducible homotypic and heterotypic cellular contacts and interactions be established following precise cell recognition events. In such morphogenetic interactions, cells of a single overt cell type may not all act the same. Pattern forming mechanisms that generate non-equivalent cell properties thus play a crucial role in establishment of the form of the organism. This process is particularly acute in development of the nervous system, where neurons acquire distinct characteristics necessary to generate a complex network of cell contacts. We have been studying development and morphogenesis of the copulatory structures of the C. elegans male tail (Emmons, 1992). Because its cellular structure is completely defined (Wood, 1988), C. elegans provides an opportunity for investigating, in detail, the relationship between pattern formation and morphogenesis. We have shown previously that the distinctive arrangement of sense organs in the male tail is dependent on a pattern formation mechanism in the epidermis (Baird et al., 1991). This pattern formation mechanism generates differences between cells of the peripheral nervous system necessary for organelle assembly at reproducible positions. Here we show that two genes encoding Antennapedia-class homeodomain transcription factors, members of the C. elegans HOM-C/Hox gene cluster, as well as several genetic modifiers of HOM-C/Hox gene mutations, play a role in the pattern formation mechanism. The C. elegans epidermis consists of a large syncytium covering most of the body, distinctly shaped cells and syncytia constructing the head and tail regions, and left and right lateral rows of seam cells (White, 1988). The male-specific sense organs that are the subject of this paper are generated by seam cells. At hatching, there are nine seam cells arrayed in single file on each side of the body. During postembryonic development, seam cells generally divide in a stem cell pattern to generate an anterior daughter that fuses with the large hypodermal syncytium, and a posterior daughter that remains as a seam cell (Sulston and Horvitz, 1977; Fig. 1A). In certain regions of the body, however, seam cells generate neuroblasts. Seam cell lineages can therefore serve as a model to study the mechanism of axial pattern formation in C. elegans. During the L1 larval stage in both sexes, the embryonic seam cell T generates the phasmid, a chemosensory sensillum. During the L2 larval stage in both sexes, a descendant of the embryonic seam cell V5 generates the postdeirid. The postdeirid is a 2579 Development 120, 2579-2593 (1994) Printed in Great Britain © The Company of Biologists Limited 1994