Miracle-dz/UniFAR-FTUs huggingface dataset:
“Websites Are More Helpful Because I Can Comeback”: Students’ Perspective on the Use of Learning Websites

During the COVID-19 pandemic, the educational system has changed. This brought a significant shift to class and teaching management as well. Teachers manage their classes in various ways by utilizing digital platforms. This study aims at finding out students’ perspective on using website in the teaching and learning process. This study was conducted by using qualitative approach design, with the descriptive case study method. There were 17 university students at Universitas Teuku Umar who were involved as the respondents in this study. In data collection, an interview set consisting of 6 questions was distributed to students. Later, the data were analyzed using interactive analysis through the three steps, which are data identification, data display, and data verification. The result shows that students have positive feedbacks toward the use of websites during online learning rather than other digital platforms. The reasons are the constant availability, length adequacy, and completeness. The implication of this study is that it is more preferrable for students to learn by using websites—or better known as e-learning system—rather than other platforms.
Deep Learning Based Predictive Compensation of Flicker, Voltage Dips, Harmonics and Interharmonics in Electric Arc Furnaces

In this research work, deep machine learning-based methods together with a novel data augmentation are developed for predicting flicker, voltage dip, harmonics, and interharmonics originating from highly time-varying electric arc furnace (EAF) currents and voltage. The aim with the prediction is to counteract both the response and reaction time delays of active power filters (APFs) specifically designed for electric arc furnaces (EAF). Multiple synchronous reference frame (MSRF) analysis is used to decompose the frequency components of the EAF current and voltage waveforms into dqo components. Then using low-pass filters and prediction of the future values of these dqo components, reference signals for APFs are generated. Three different methods have been developed. In two of them, a low-pass Butterworth filter is used together with a linear finite impulse response (FIR)-based prediction or long short-term memory network (LSTM) for prediction. In the third method, a deep convolutional neural network (CNN) combined with a LSTM network is used to filter and predict at the same time. For a 40-ms prediction horizon, the proposed methods provide 2.06%, 0.31%, 0.99% prediction errors of the dqo components for the Butterworth and linear prediction, Butterworth and LSTM, and CNN with LSTM, respectively. The error of the predicted reconstructed waveforms of flicker, harmonics, and interharmonics resulted in 8.5%, 1.90%, and 3.2% reconstruction errors for the abovementioned methods. Finally, a Simulink and GPU-based implementation of predictive APF using Butterworth filter + LSTM and a trivial APF resulted 96% and 60% efficiency on compensation of EAF current interharmonics.
AI Video Editing: a Survey

Video editing is a high-required job, for it requires skilled artists or workers equipped with plentiful physical strength and multidisciplinary knowledge, such as cinematography, aesthetics. Thus gradually, more and more researches focus on proposing semi-automatical and even fully automatical solutions to reduce workloads. Since those conventional methods are usually designed to follow some simple guidelines, they lack flexibility and capability to learn complex ones. Fortunately, the advances of computer vision and machine learning make up the shortages of traditional approaches and make AI editing feasible. There is no survey to conclude those emerging researches yet. This paper summaries the development history of automatic video editing, and especially the applications of AI in partial and full workflows. We emphasizes video editing and discuss related works from multiple aspects: modality, type of input videos, methology, optimization, dataset, and evaluation metric. Besides, we also summarize the progresses in image editing domain, i.e., style transferring, retargeting, and colorization, and seek for the possibility to transfer those techniques to video domain. Finally, we give a brief conclusion about this survey and explore some open problems.
Y2O3-based memristive crossbar array for synaptic learning

Here, we report the fabrication of an Y2O3-based memristive crossbar array along with an analytical model to evaluate the performance of the memristive array system to understand the forgetting and retention behavior in the neuromorphic computation. The developed analytical model is able to simulate the highly dense memristive crossbar array-based neural network of biological synapses. These biological synapses control the communication efficiency between neurons and can implement the learning capability of the neurons. During electrical stimulation of the memristive devices, the memory transition is exhibited along with the number of applied voltage pulses, which is analogous to the real human brain functionality. Further, to obtain the forgetting and retention behavior of the memristive devices, a modified window function equation is proposed by incorporating two novel internal state variables in the form of forgetting rate and retention. The obtained results confirm that the effect of variation in electrical stimuli on forgetting and retention is similar to that of the biological brain. Therefore, the developed analytical memristive model can further be utilized in the memristive system to develop real-world applications in neuromorphic domains.
Improving Object Pose Estimation by Fusion With a Multimodal Prior – Utilizing Uncertainty-Based CNN Pipelines for Robotics

Estimating the pose of an object is essential for robot manipulation. In many applications the spatial and geometric relations between the object and the other parts of the world, e.g. the relation between the object and its supporting plane, are a-priori known or can be assumed with a certain accuracy. This information can be leveraged for pose estimation. In this work, we show how this information can be formulated as multimodal prior and probabilistically fused with pose information that a CNN extracts from an image. For this purpose, the CNN pipeline from prior work is utilized. In the cases where the prior fits the ground truth, the approach is able to propel monocular results to binocular / depth data levels. Importantly, in the cases of no fitting priors, the pose estimation does not get negatively affected. The proposed method was evaluated on the T-Less dataset and used in a sample robotic application.
Microservice security: a systematic literature review

Microservices is an emerging paradigm for developing distributed systems. With their widespread adoption, more and more work investigated the relation between microservices and security. Alas, the literature on this subject does not form a well-defined corpus: it is spread over many venues and composed of contributions mainly addressing specific scenarios or needs. In this work, we conduct a systematic review of the field, gathering 290 relevant publications—at the time of writing, the largest curated dataset on the topic. We analyse our dataset along two lines: (a) quantitatively, through publication metadata, which allows us to chart publication outlets, communities, approaches, and tackled issues; (b) qualitatively, through 20 research questions used to provide an aggregated overview of the literature and to spot gaps left open. We summarise our analyses in the conclusion in the form of a call for action to address the main open challenges.
Amenazas de seguridad a considerar en el desarrollo de software

El desarrollo de software debe tener en consideración las amenazas que existen en cuanto a la privacidad y seguridad de la información. Estas amenazas pueden significar grandes pérdidas para las organizaciones que se traducen en pérdidas económicas, acceso a información confidencial por parte de usuarios sin autorización o la caída de los sistemas. Estas amenazas toman especial importancia debido a la gran dependencia que hoy en día tenemos en los sistemas de información. Por ejemplo, el auge del comercio electrónico ha incrementado considerablemente el número de transacciones que se realizan por Internet, lo cual conlleva que los usuarios proporcionen datos sensibles referentes a métodos de pago y direcciones de facturación. Así mismo, los usuarios tienen que confiar en que están proporcionando la información a un sistema confiable que manejará de forma segura sus datos. Otro ejemplo es el uso cada vez mayor de la tecnología cloud computing, en la que los usuarios almacenan información privada en servidores de proveedores externos sobre los cuales no tienen control y su información podría estar siendo utilizada para otros propósitos de los cuales no tienen conocimiento. De igual forma, el uso de aplicaciones en teléfonos móviles para servicios de banca por Internet podría significar una amenaza en cuanto el acceso a cuentas por parte de usuarios malintencionados si no existen los mecanismos de seguridad necesarios para la autenticación de los usuarios. Es una realidad que la falta de medidas que garanticen la seguridad y privacidad de la información puede desencadenar en escenarios catastróficos. Por este motivo, este articulo identifica las amenazas y vulnerabilidades que deben ser tomadas en consideración para el desarrollo de software, de tal forma que se produzca software que cumpla con las características de seguridad necesarias a fin de garantizar la disponibilidad de los servicios y la integridad de la información.
The Distribution Inefficiency of Medical Resources in China: A Literature Review

Contemporarily, the distribution inefficiency of medical resources in China is a dramatical issues puzzling the Chinese government. In this paper, the issue will be reviewed detailly with corresponding suggestions in terms of handling the problems. Specifically, the progress in last decade of such issue is introduced (e.g., creating new commute system, diagnose system, and locations for the hospital) and other objects relevant to the issue are discussed including the cause of the gap and possible solutions. Generally, literatures from information retrieval are separated into 4 parts: (1) the equal universal medical care move, (2) the obstacles before and after the move, (3) medical care issues, and (4) potential results. Then, each part is discussed and demonstrated, respectively. Based on analysis, the distribution inefficiency of medical recourse in China desperately needs a solution urgently. These potential results shed light for latter who want categorized suggestions to create better solution for such worldwide problems.
La negociación de las reglas de origen en el T-MEC, implicaciones para su puesta en práctica

En agosto de 2017 comenzaron las negociaciones para la modernización del Tratado de Libre Comercio de América del Norte, en el tema de la actualización de las reglas de origen, el gobierno de los Estados Unidos aplicó una estrategia distributiva de regateo para imponer a México y Canadá una redacción de las reglas acorde con su objetivo de contribuir con ellas a atenuar su desequilibrio comercial con sus socios, pero se tuvieron que hacer concesiones por las tres partes para la simplificación de los mecanismos para la aplicación práctica de tales reglas.
KAJIAN RESIKO GEMPA DENGAN PENDEKATAN METODE RAPID VISUAL SCREENING (RVS) FEMA 154 DAN 3D RESPONSE SPEKTRUM TERHADAP GEDUNG UNIVERSITAS WIJAYAKUSUMA PURWOKERTO

Gempa merupakan salah satu yang terjadi akibat kejadian pergeseran tiba-tiba dari lapisan tanah di bawah permukaan bumi. Purwokerto sebagai kota Kabupaten Banyumas adalah kota yang saat ini berusaha berkembang seperti halnya kota-kota besar lainnya yang ada di Indonesia. Gedung perkuliahan merupakan fasilitas pelayanan umum dalam hal pendidikan terhadap masyarakat Sebagai gedung perkuliahan harus mampu memberikan kelayakan dan kenyamanan sehingga aktivitas di dalam dan luar gedung perkuliahan menjadi nyaman. Penelitian ini bertujuan meninjau kerentanan beberapa bangunan yang terdapat pada Universitas Wijayakusuma terhadap gempa bumi. Untuk mengetahui kelayakan bangunan tersebut pendekatan analisa yang dilakukan dengan menggunakan metode RVS yang terdapat pada FEMA 154, selain itu perhitungan pembebanan dilakukan dengan pemodelan SAP 2000 dengan metode 3D Response Spektrum. Hasil penelitian menunjukkan bahwa gedung bertingkat pada Universitas Wijayakusuma Purwokerto aman terhadap gempa apabila dikaji dengan metode RVS, sedangkan apabila dikaji dengan metode 3D response spectrum yang sesuai dengan SNI 1726-2019 gedung-gedung tersebut kurang aman untuk waktu getar alami fundamental, tetapi untuk pembebanan ketiga gedung tersebut aman.
Strategic Management and Financial Analysis in the Context of Epidemic -- A Case Study of Coca-Cola Company

The subject of this article is to analyze the financial statement and corporate strategy of Coca-Cola (referred to as KO) Company during the COVID 19 epidemic. The two main analysis methods are quantitative and qualitative analysis. The quantitative analysis uses ratios and Dupont to analyze Coca-Cola's ratio, looking at the impact of the epidemic on KO from the perspective of growth, profitability, liquidity, efficiency, and solvency. The qualitative analysis uses the SWOT and Porter five forces analysis method from the traditional accounting perspective to initially analyze the internal and external environment of Coca-Cola and uses the Balanced Score Card (BSC) from the management accounting perspective to interpret the advantages and disadvantages of the corporate strategy. The quantitative analysis results show that due to the epidemic's impact, KO's ability to repay debt and efficiency of using financial resources has been improved under the condition of the decline of KO's growth and profitability. But its finances and goodwill may suffer as a result of KO's acquisition problems. Qualitative analysis results show that KO's business processes are highly systematic, and strategic costs are reduced. In addition, the main risks of KO lie in the threat from competitors and the lack of innovation ability. Under the influence of the epidemic, its key profit indicators and debt ratio showed a negative trend. It failed to reach its financial target due to its special risk avoidance strategy of debt ratio. But it has excelled at attracting and retaining customers. This paper provides guidance and reference for future scholars to study KO's management and financial performance during the epidemic.
RELATIONSHIP OF CARDIOVASCULAR RISK MARKERS IN CHILDREN SGAAND AGA

INTRODUCTION: Children born preterm usually experience an initial growth restriction, suggested to be caused by the immature organs and an inadequate nutritional intake.After this initial growth faltering, healthy preterm born children, and especially those born after 32 gestational weeks, usually fall back to the reference growth curve, following that of term born babies. For children born SGA, 80 % will experience a relative catch-up growth within the rst 6 months of life. OBJECTIVE: Role of different risk proles for children being born preterm vs being born SGA and early iron supplementation affect later cardiovascular risk RESULT: In Placebo group, 4.6(0.5) patients had Fasting glucose (mmol/L), 2.9(2.3-3.5) patients had Fasting insulin(µU/mL), 0.59(0.4-0.7) patients had HOMA-IR, 4.5(0.7) patients had Cholesterol(mmol/L), 0.58(0.2) patients had Triglyceride(mmol/L), 2.8(0.6) patients had LDL(mmol/L), 1.5(0.3) patients had HDL(mmol/L), 0.63(0.4) patients had ApoB(g/L and 0.20(0.1-0.6) patients had hs-CRP(mg/L). In Iron supplements group, 4.4(0.5) patients had Fasting glucose(mmol/L), 2.7(2.0-3.8) patients had Fasting insulin(µU/mL), 0.54(0.4-0.8) patients had HOMA-IR, 4.3(0.8) patients had Cholesterol(mmol/L), 0.59(0.3) patients had Triglyceride(mmol/L), 2.8(0.6) patients had LDL(mmol/L), 1.5(0.4) patients had HDL(mmol/L), 0.61(0.3) patients had ApoB(g/Land 0.24(0.2-0.8) patients had hs-CRP(mg/L). CONCLUSION: This literature showing that there is progression of these risk factors as children enter early adolescence. Further longer longitudinal studies are needed to elucidate the mechanisms responsible for progression of cardio-metabolic risk factors from infancy to adolescence in SGAand LGAsubjects.
Event-Triggered Impulsive Control for Nonlinear Systems: The Control Packet Loss Case

This brief investigates a class of nonlinear systems with packet loss phenomenon and external disturbance utilizing impulsive control. For the purpose of reducing the burden of information interaction and controller update in control strategy, we construct a hybrid event-triggered mechanism (ETM), where the possible Zeno behaviour can be excluded with less limitations on event parameters. By characterizing control packet loss phenomenon via impulse packet loss rate (iPLR) conditions, the problems of ISS analysis and control strategy design are solved by means of a series of sufficient conditions formulated by LMIs, from which the constraint relationships among rate coefficients, event parameters, and iPLR are revealed. Finally, to show the usefulness of our results, an example is proposed.
Luxury Brands Culture and Marketing: How Does Chanel Stay popular

With the rapid development of the world economy, people's living standard has gotten a general improvement ， which is reflected in the increase of personal disposable income. Therefore, people will consume more that lead to the growth of average consumption power. More people are willing and able to buy luxuries than ever before. These luxury sellers create a brand identity that can attract like-minded buyers, thereby boosting their sales. One wonders why consumers of luxury goods would choose to spend their money on luxury goods rather than other categories. Especially when the price of some luxuries is extremely high, which can reach hundreds of thousands of yuan for a single item ， there are still many people full of fanatics for these fashion items and persistent in collecting the limited edition difficult to get. So, how do luxury products shape their cultural values and marketing systems and do both works so that enough consumers are willing to pay for them. To study this topic, we took Chanel as a case study to deeply learn its cultural value and marketing logic based on the analysis of relevant document literature. In the end, we concluded that the luxury brands represented by Chanel attract consumers from the aspect of improving the social status and showing their taste by shaping a kind of image that represents the advanced life and different from the ordinary. Through the research on these luxury brands, the results provide a reference for developing some emerging luxury brands.
Maintaining Control Resiliency and Flow Programmability in Software-Defined WANs During Controller Failures

Providing resilient network control is a critical concern for deploying Software-Defined Networking (SDN) into Wide-Area Networks (WANs). For performance reasons, a Software-Defined WAN is divided into multiple domains controlled by multiple controllers with a logically centralized view. Under controller failures, we need to remap the control of offline switches from failed controllers to other active controllers. Existing solutions have three limitations: (1) the least flow programmability (e.g., the ability to change paths of flows) cannot be maintained; (2) active controllers could be overloaded, interrupting their normal operations; (3) network performance could be degraded because of the increasing controller-switch communication overhead. In this paper, we propose RetroFlow+ to recover the flow programmability and achieve low communication overhead during controller failures. By intelligently configuring a set of selected offline switches working under the legacy routing mode and several active controllers releasing a few control resources, RetroFlow+ enables active controllers to use the minimum control resource to sustain the flow programmability. RetroFlow+ also smartly transfers the control of offline switches with the SDN routing mode to active controllers to minimize the communication overhead from these offline switches to the active controllers. Simulation results show that RetroFlow+ realizes low communication overhead, recovers all offline flows under one and two controller failures, and improves the flow recovery percentage up to 70% under three controller failures, compared with the state-of-the-art solution.
Dynamic Analysis on Ocean Cables System with Lumped Parameter Approach

Three-dimensional dynamic behavior of ocean cables systemintime-domainis analyzed.Alumped parameter approach is usedin the model.The programcalculates the dynamic tension and configuration of ocean cables.Current profiles,in-line clumps,ship speed,node propulsion,water surface and seafloor boundaries,can all be simulated.The model is capable of analyzing non-uniformarrays with arbitrary buoyancy.The highly nonlinear equations of motion are solved numerically withrespect to only an earthfixedinertial reference frame by a forth-order Rung-Kutta method.The results of simulations with changed drag coefficient are shownto be infairly good agreement withthe experiment data.
Fulminant Danon Disease in a Young Female Patient with a Novel LAMP2 Mutation

A 14-year-old female presented for congestive heart failure with biventricular hypertrophy and severely depressed LVEF. Cardiac MRI findings of extensive LGE but sparing the mid septum, genetic tests reporting a LAMP2 missense mutation and LAMP2 protein staining in the minority of cardiac myocytesat immunohistochemistry suggested a Danon Disease diagnosis.
Direct Tensile Test to Assess Healing in Asphalt

Asphalt concrete has the advantageous ability to heal. During rest periods, damage present in the material is restored to a certain extent. Healing of the material can be observed in its regaining of strength and stiffness after rest periods. In this paper, a new test method is presented. It was developed to increase the understanding of the healing phenomenon. The test method focused on asphalt as it was assumed to be the driver of the healing performance. The test method assessed the healing performance of asphalt in stiffness and strength by testing the bond strength in tensile mode of two pieces of asphalt that were assembled under controlled temperature and stress conditions. With the test method, healing tests were performed on one type of binder; the load level during healing and the healing time were varied. The test results showed that after a short healing time of only 6 min, a significant amount of healing could be detected. That finding indicates the importance of adhesion between two crack surfaces when the healing capacity is assessed. It was also found that the maximum tensile stress reached a plateau value after 24 h of healing; the finding indicates that full healing can be realized in short time periods for pure, unaged, soft binders. It was also shown that the load level perpendicular to the damage during healing had a significant effect on the observed healing.