Miracle-dz/UniFAR-FTUs huggingface dataset:
An analysis of reading process based on real-time eye-tracking data with web-camera——Focus on English reading at higher education level

Reading skill, an important and complex cognitive ability, is one of the target skills for talent training. Especially with the trend of online learning becoming more and more prevalent, digital reading literacy is a necessary skill for learners. Therefore, many researchers started to focus on study reading process, and study methods are diverse, such as by collecting eye movement data. However, most researches were limited to scope of laboratory, so it is difficult to achieve low-cost, large-scale, non-invasive and objective reading process data collection and analysis. Therefore, this research developed a platform using web camera of laptop and open-source eye tracking library (webgazer.js) to get physiological indicators based on eye tracking data, which can be used to analyze reading process and explore the impact of the reading performance. This research also used inferential statistics and machine learning methods to quantitatively characterize and analyze the relationship between reading behavior and reading performance. This study’s conclusions can help make subsequent targeted adjustments and interventions to improve learners' reading performance, and prove the usability for collecting eye-tracking data by platform with web-camera.
Evaluation of Industrial Hemp Seed Treatments for Management of Damping-Off for Enhanced Stand Establishment

: The purpose of this research was to collect efﬁcacy data on biological, biochemical, and chemical fungicide seed treatments on hemp ( Cannabis sativa L.) to mitigate damping-off and enhance ﬁeld stand establishment. Seed treatments were evaluated in ﬁelds in New York (NY), North Dakota (ND), and Virginia (VA) and at two planting dates in each state in 2020. A single seed lot of a dual-purpose (ﬁber + grain) cultivar (‘Anka’) was treated using a laboratory-scale rotary pan coater. Five biological, two biochemical, and four chemical seed treatments were tested. A laboratory germination test revealed that seed treatments did not exhibit phytotoxicity when compared to the non-treated control. A laboratory bioassay with naturally infested soil was used to assess the preliminary activity of seed treatments for protection against damping-off. The biochemical seed treatment Ultim ® (active ingredient; organic copper) performed as well as the chemical treatments Apron XL ® + Maxim ® 4FS and Mertect ® 340F in preventing damping-off whereas the biological treatments did not differ from the non-treated control in terms of disease incidence. In all ﬁeld tests, biological seed treatments did not improve plant stands compared to the non-treated control. Biochemical seed treatments Prudent 44 ® with Nutrol ® (active ingredient; phosphite) and Ultim ® , along with chemical seed treatments, had acceptable efﬁcacy and improved stand establishment compared to the non-treated control across ﬁeld locations. Based on efﬁcacy results from laboratory and ﬁeld trials, the copper seed treatment has potential for both conventional and organic hemp production.
A Review of state-of-the-art Automatic Text Summarisation

Text summarisation comes under the domain of Natural Language Processing (NLP), which entails replacing a long, precise and concise text with a shorter, precise and concise one. Manual text summarising takes a lot of time, effort and money and it's even unfeasible when there's a lot of text. Much research has been conducted since the 1950s and researchers are still developing Automatic Text Summarisation (ATS) systems. In the past few years, lots of text-summarisation algorithms and approaches have been created. In most cases, summarisation algorithms simply turn the input text into a collection of vectors or tokens. The basic objective of this research is to review the different strategies used for text summarising. There are three types of ATS approaches, namely: Extractive text summarisation approach, Abstractive text summarisation approach and Hybrid text summarisation approach. The first method chooses the relevant statements out of the given input text or document & convolves those statements to create the final output as summary. The second method converts the input document into an intermedial representation before generating a summary containing phrases that differ from the originals. Both the extractive and abstractive processes are used in the hybrid method. Despite all of the methodologies presented, the produced summaries still lag behind human-authored summaries. By addressing the various components of ATS approaches, methodologies, techniques, datasets, assessment methods and future research goals, this study provides a thorough review for researchers and novices in the field of NLP.
Design of a User-Interpretable Math Quiz Recommender System for Japanese High School Students

In the context of K-12 math education, identifying the quizzes of the appropriate difficulty is essential to improve the students’ understanding of math concepts. In this work, we propose a quiz recommender system which not only considers the difficulty of the quiz but also the expected learning outcome of solving that quiz. To increase the students’ motivation of accepting the recommendations, our system provides interpretable information, i
From source code to crash test-cases through software testing automation

Finding weaknesses and vulnerabilities in a source code is a difficult task. An approach to tackle this issue is static analysis. However, existing solutions and tools tend to generate numerous alerts and especially false positives. This paper presents an approach automating the software testing process from source code up to the dynamic testing of the compiled program. More specifically, from a static analysis report indicating alerts on source lines, it enables trying to cover these lines dynamically and opportunistically checking whether or not they can trigger a crash. The result is a test corpus allowing to cover alerts and to trigger them if they happen to be true positives. This paper discusses the methodology employed to track alerts down in the compiled binary, the testing engines selection process and the results obtained on a TCP/IP stack implementation for embedded and IoT systems.
Nonlinear electromagnetic energy harvesters fabricated by rigid-flex printed circuit board technology

In this paper, a wideband electromagnetic energy harvester designed and fabricated by commercial rigid-flex PCB technology is demonstrated. The rigid FR-4 boards are used for mechanical frames and coil winding whereas the flexible polyimide film is used for mechanical springs and mass platforms. The total dimension of the device is 20 × 20 × 2 mm3. The internal coil resistance is 15 Ω. In vibration tests, nonlinearity can be observed even at 0.1 g vibration level due to the spring hardening effect. The peak frequency was increased as the vibration level increased. The effective bandwidth was increased from 6 Hz at 0.1 g to 21 Hz at 0.5 g and 27 Hz at 1 g, respectivel, due to the hysteresis effect. For a matched load and 1 g vibration at 240 Hz, the maximum output power is 24.5 nW, corresponding to a power density of 31 nW/cm3.
Recommendations on a Test Infrastructure for Evaluation of Touchscreen Assistive Technology for Visually Impaired Users

Mobile technologies’ touchscreen allows the use of choreography of gestures to interact with the user interface. Relevant aspects in mobile technology design become crucial when targeting users with disabilities. For instance, when assistive technology is designed to support speech interaction between visually impaired users and a system, accessibility and easeof-use of such technology should be included in the usability and technical evaluation of their effectiveness. This paper presents the analysis of the technical and physical infrastructure of a controlled laboratory environment for user evaluations made in the research project “Visually impaired users touching the screen - A user evaluation of assistive technology” where VoiceOver, a screen reader in Apple Inc. products was tested. The paper reports on challenges related to the use of the test infrastructure, such as how to obtain valuable data when interactive high-speed gestures are performed and how to optimise the recording and synchronisation between audio and video data. The lessons learned by the research group showed that there are effective alternatives for each challenge, and these should be customised for each particular test, type of participants and device.
An Agency-Based Epistemology of Modality

My aim in this paper is to sketch, with a broad brush and in bare outlines, an approach to modal epistemology that is characterized by three distinctive features. First, the approach is agency-based : it locates the roots of our modal thought and knowledge in our experience of our own agency. Section 2 will argue that simply by being agents in the world, we possess a wealth of modal knowledge, more specifically: knowledge about our own abilities and dispositions as well as the dispositions and affordances of objects around us. Second, the approach is ambitious in that it takes the experience of certain modal properties in agency to be the sole distinctive feature of specifically modal thought and knowledge; everything that we know about modality beyond the experience of agency is a matter of applying standard methods of inquiry such as deduction, induction and abductive methods for choosing between theories.1 Section 3 will sketch how this works for our ordinary modal thought; section 4 will turn to modal thought and knowledge in philosophical contexts. A third feature of the account arises naturally out of the first two. Given that modal thought and knowledge starts with modal properties, and that our methods for expanding modal knowledge beyond the context of agency do not make a distinctive addition to it, it is natural that modal thought and knowledge in general is, first and foremost, about modal properties that are sufficiently like those encountered in agency. I call such modal properties “potentialities” and have provided a non-reductive metaphysics of them elsewhere (Vetter 2015), but for present purposes we can think of them as de re possibilities. A complete version of the account will have to specify how from there we get to knowledge of de dicto modal truths; in this
Preliminary Personal Trait Prediction from High School Summer Vacation e-learning Behavior

Previous studies have shown that e-book interaction logs can predict students at-risk of academic failure-students whose academic performance is low. However, in the context of an individualized e-learning system, it is very important to predict personality traits to realize the well optimized and suited assist, intervention and feedback based on personality bases. Here we examine the extent to which individuals' Big Five personality traits can be predicted on the basis of learning log data harvested K-12 e-learning system. Taking a machine-learning approach, we predict conscientiousness (R= 0.38), which is related to academic achievement, based on behavioral data collected from 129 high school students' summer vacation learning log. This result is preliminary but the first step to open the prediction of personality from K-12 learning log.
A Modified U-net for Dispersion Compensation of OCT Simulated Layered Images

—Chromatic dispersion, a common problem that exists in optical coherence tomography (OCT) imaging systems, degrades the axial resolution of retinal layer structures in an OCT image. This study is to develop a simple OCT simulation with multiple back-scattering planes in the sample arm and use a modified U-net (mUnet) to enable dispersion compensation of dispersed simulated data using a set of corresponding ground truth. The effects of dispersion and noises are carefully studied. Axial depth corrections on training data is needed to enable robust network performance.
Decoding the Role of Melatonin Structure on Plasmodium falciparum Human Malaria Parasites Synchronization Using 2-Sulfenylindoles Derivatives

Melatonin acts to synchronize the parasite’s intraerythrocytic cycle by triggering the phospholipase C-inositol 1,4,5-trisphosphate (PLC-IP3) signaling cascade. Compounds with an indole scaffold impair in vitro proliferation of blood-stage malaria parasites, indicating that this class of compounds is potentially emerging antiplasmodial drugs. Therefore, we aimed to study the role of the alkyl and aryl thiol moieties of 14 synthetic indole compounds against chloroquine-sensitive (3D7) and chloroquine-resistant (Dd2) strains of Plasmodium falciparum. Four compounds (3, 26, 18, 21) inhibited the growth of P. falciparum (3D7) by 50% at concentrations below 20 µM. A set of 2-sulfenylindoles also showed activity against Dd2 parasites. Our data suggest that Dd2 parasites are more susceptible to compounds 20 and 28 than 3D7 parasites. These data show that 2-sulfenylindoles are promising antimalarials against chloroquine-resistant parasite strains. We also evaluated the effects of the 14 compounds on the parasitemia of the 3D7 strain and their ability to interfere with the effect of 100 nM melatonin on the parasitemia of the 3D7 strain. Our results showed that compounds 3, 7, 8, 10, 14, 16, 17, and 20 slightly increased the effect of melatonin by increasing parasitemia by 8–20% compared with that of melatonin-only-treated 3D7 parasites. Moreover, we found that melatonin modulates the expression of kinase-related signaling components giving additional evidence to investigate inhibitors that can block melatonin signaling.
Conductance-Aware Quantization Based on Minimum Error Substitution for Non-Linear-Conductance-State Tolerance in Neural Computing Systems

Emerging resistive random-access memory (ReRAM) has demonstrated great potential in the achievement of the in-memory computing paradigm to overcome the well-known “memory wall” in current von Neumann architecture. The ReRAM crossbar array (RCA) is a promising circuit structure to accelerate the vital multiplication-and-accumulation (MAC) operations in deep neural networks (DNN). However, due to the nonlinear distribution of conductance levels in ReRAM, a large deviation exists in the mapping process when the trained weights that are quantized by linear relationships are directly mapped to the nonlinear conductance values from the realistic ReRAM device. This deviation degrades the inference accuracy of the RCA-based DNN. In this paper, we propose a minimum error substitution based on a conductance-aware quantization method to eliminate the deviation in the mapping process from the weights to the actual conductance values. The method is suitable for multiple ReRAM devices with different non-linear conductance distribution and is also immune to the device variation. The simulation results on LeNet5, AlexNet and VGG16 demonstrate that this method can vastly rescue the accuracy degradation from the non-linear resistance distribution of ReRAM devices compared to the linear quantization method.
PENGARUH GAYA KEPEMIMPINAN TRANSFORMASIONALDAN TRANSAKSIONAL TERHADAP KINERJA ORGANISASIMELALUI PRAKTIK TQM PADA PT. PELAYARAN NASIONALINDONESIA CABANG SURABAYA

The purpose of this study was to analyze the effect of transformational and transactional leadershipstyles on organizational performance through the practice of total quality management at PT.Pelayaran Nasional Indonesia in Surabaya. With a population of 64 employees, this study usedquantitative research, where the sample is employees at PT. Pelayaran Nasional Indonesia CabangSurabaya that around 54 employees were determined using Proportionate Stratified Random Sampling.Statistical analysis method used is the approach of structural equation modeling (SEM) software byusing partial least square (PLS) 2.0 M3.The results of the study describes the style of transformational and transactional leadershipsignificantly influence the performance of the organization, and style of transformational andtransactional leadership significantly influence the practice of total quality management, and thepractice of total quality management significantly influence the performance of the organization, as wellas the style of transformational and transactional leadership significantly influence organizationalperformance mediated total quality management practices.Keywords: Transformational leadership, transactional, TQM and organizational performance
Analysis of RC6 - Lite Implementation for Data Encryption

: RC6 is a simple modern cryptographic algorithm but can provide sufficient security for data encryption and decryption, RC6 is a parameterized algorithm with RC6-w / r / b , where the suggested w values are 16, 32 and 64 and r values (rotation of encryption processing ) is 20, while b is the user-specified key length. In this study, the authors are interested to implement with the Microsoft Visual Basic 2005 Express Edition programming language and to determine the effectiveness of RC6 with the lowest parameters of the suggested RC6 8/5 / b , and we call it with RC6-Lite . From the result of the research, it can be concluded that for the change in plaintext, the average value of avalanche effect produced is 26.49% and for the changes made on the key, the average value of avalanche effect produced better that can reach 52.38%. And this is of course still better than the classic Playfair and Vigenere cipher algorithms which each have only avalanche effect of 10.9% and 3.1% (Saeed & Rashid, 2010).
Vehicle Routing Simulation for Prediction of Commuter’s Behaviour

We propose a multiagent, large-scale, vehicle routing modeling framework for the simulation of transportation system. The goal of this paper is twofold. Firstly, we investigate how individual and social knowledge interact and ultimately influence the effectiveness of resulting traffic flow. Secondly, we evaluate how different discrete-event simulation designs (delays vs. queuing) affect conclusions within the model. We present a new agent-based model that combines the efficient discrete-event approach to modeling with the intelligent drivers who are capable to learn about their environment in the long-term perspective from both, individual experience, and widely available social knowledge. The approach is illustrated as practical application to modeling commuter behavior in the city of Winnipeg, Manitoba, Canada. All simulations in the paper are fully reproducible as they have been carried out by utilizing a set of opensource libraries and tools that we have developed for the Julia programming language and that are openly available on GitHub.
Automatic Translation of Mangas into Other Languages

: Mangas are getting more popular as time goes on, thanks to the convenience with which they can be accessed through online entertainment. Many mangas have grown in popularity to the point where they now outsell western comics, which have set the bar for sales in the last decade. As a result of the rising demand for localization of these works, publishers have pushed for mangas to be translated into multiple languages for easier consumption and therefore greater sales. Cleaning manga panels and, if required, redrawing panels are the initial steps in the translation process. The Japanese text in the image is translated, and then the translated text is in-painted back into the cleaned image. To have the manga translated, numerous competent individuals with skills in picture editing and translation are necessary. The goal of this article is to present an automated system for translating manga that will identify, translate, and in-paint the translated text. This will cut the number of man-hours and staff needed to complete the task while also integrating everything together into a single functional framework.
Nose-First. Towards an Olfactory Gaze for Digital Art History

What are the historical smells and olfactory narratives of Europe? How can we make use of digital museum collections to trace information on olfactory heritage? In recent years, European cultural heritage institutions have invested heavily in large-scale digitization, which provides us with a wealth of object, text and image data that can be browsed and analysed by humans and machines. However, as heritage institutes, as well as humanities and computer science scholars, have had a long-standing tradition of ocular-centric thinking, it is difficult to find relevant information about smell in digital collections. The historical gaze, for a long time, has been visually biased, leaving smell overlooked within many digital collections. This paper offers a roadmap towards an olfactory gaze for digital cultural heritage collections. The work we present here is part of the Odeuropa project, an action of the Horizon 2020 programme, which promotes research and innovation. It presents a work in progress on olfactory heritage and sensory mining in digital art collections. First, we will describe the current state of the art, showing how olfactory information is traditionally missing or even omitted from digital art collection management systems. We present a baseline research, which maps the gaps and biases in art thesauruses and iconographic classification systems. Next, we will present two connected solutions that we are currently developing in the Odeuropa project: a) a database with olfactory information related to historical artworks, aimed to enrich existing metadata and improve search solutions b) computer vision methodologies for sensory mining. Finally, we pitch a new idea: a nose-first scent wheel. When integrated into current digital collection interfaces, the scent wheel would encourage audiences to develop an olfactory gaze and offer new ways to uncover the rich storylines of olfactory heritage within digital collections.
CARAI - Development of an intelligent personal assistant for cars

This thesis aims to create a proactive Intelligent Personal Assistant (IPA) within a car environment, utilizing location prediction and a face recognition to provide the context for that proactive behavior. A Dialogue Manager was implemented to provide a dialogue driven interface. This was realized as a multimodal interface using both voice and graphical input/output. The location prediction was realized with different neural networks to varying degrees of success. The project resulted in a prototype which acts like a proof of concept for a proactive IPA within a car environment, the prototype demonstrated the proactive behavior that the thesis aimed for. However most of the modules that make up the prototype, excluding face recognition, do not preform well enough to be considered complete, but they do demonstrate a proof of concept.
PRODUTIVIDADE DE CAPIM-MOMBAÇA (Panicum maximum), COM DIFERENTES DOSES DE BIOFERTILIZANTE

This study aimed to verify the influence of the application of dairy cattle manure treated in biodigesters anaerobics, in the form of biofertilizer on the productivity of grass Mombaca, upland conditions. The work was conducted at the Institute of Biotechnology - IBIOTEC belonging to UNIARA, Araraquara – SP. To obtain the fertilizer was taken dilution of waste water and stored in a digester Indian model fiberglass with a useful capacity of 1000 L, installed in refer institute. The fertilizations were made to haul after each lowering of the plots. The design was a randomized complete block d with four treatments and four replications, with different doses of biofertilizers, as follows: 0; 50m³; 100m³ and 200m³ / ha. The variables were: height,
Adaptive Evolution Targets a piRNA Precursor Transcription Adaptive Evolution Targets a piRNA Precursor Transcription Network Network

cross-species to determine the functional impact of adaptive evolution. These studies show that adaptive evolution of the piRNA pathway protein Cutoff, which is required for transposon silencing and genome maintenance, targets interactions with conserved canonical and non-canonical transcription factors that regulate piRNA precursor expression. and CtBP that balance canonical and non-canonical piRNA precursor crosslinked, end tailing, adaptor