Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of Assessment For Learning (AFL) through the Educandy Application for Middle School Biology Learning

This research-based paper specifically aims to develop, describe and analyze and implement student assessment design products at the secondary school level which are integrated with digital education technology for learning biology with assessment for learning (AFL) format. In this study, the developed AFL design product was resulted in a valid and steady conclusion and became an alternative solution that could be implemented in the post-covid-19 pandemic for high school biology learning. This development research employs the ADDIE model which consists of analysis, design, development, implementation and evaluation stages. The chosen subjects of assessing the AFL design and instruments are lecturers of educational evaluation subject and three expert lecturers consist of one evaluation expert, one media expert, and one biological content expert. Such formulated review and input from expert lecturers serve as a validation of the AFL design instruments and products. In this research-based paper, the researchers describe how the process of making and assessing the feasibility of AFL for high schools biology learning and its implementation when submitted to the Subject Teacher Forum (STF) of Natural Sciences Subject in Subrayon 5 Gunung Halu, Cililin District, West Bandung Regency. Based on the findings of research and development of AFL biology learning in high schools in forms of assessments among the media experts, material experts, teacher evaluation and experts responses, as well as the results of implementation observations in the field, it can be concluded that AFL Biology learning with Educandy application is declared “feasible and effective” to be utilized in the learning process for high schools. The implication of such formulated research is to provide an alternative integrative learning approach for biology learning through the use of AFL Educandy for post-covid-19 pandemic learning.Keywords: assessment for learning, educandy, high schools biology learning
A transferable force-field for alkali metal nitrates

We present a new rigid-ion force-field for the alkali metal nitrates that is suitable for simulating solution chemistry, crystallisation and polymorphism. We show that it gives a good representation of the crystal structures, lattice energies, elastic and dielectric properties of these compounds over a wide range of temperatures. Since all the alkali metal nitrates are fitted together using a common model for the nitrate anion, the force-field is also suitable for simulating solid solutions. We use the popular Joung and Cheatham model for the interactions of the alkali metal cations with water and obtain the interaction of the nitrate ion with water by fitting to a hydrate.
The Linear Accelerating Structure Development for HLS Upgrade

Hefei Light Source (HLS) is mainly composed of an 800 MeV electron storage ring and a 200 MeV constantimpedance Linac functioning as its injector. A new Linac is developed in view of the Full Energy Injection and the Top-up Injection scheme will be adopted in the HLS upgrade. In this paper, an 800MeV linear accelerating system construction, the constant-gradient structure design and the symmetry couplers consideration will be described in detail. The manufacture technology, the RF measurement, the high power test results and the accelerating system operation are presented.
Real-time Qualification of Percussive Sounds Based on Correspondences Between Schaeffer’s Solfège and Low-level Audio Descriptors

Pierre Schaeffers typomorphology (1966) proposes seven criteria of musical perception for the qualification of sound objects, which form the basis of his musical theory. This Solfège fits well into contexts where pitch is not the dominant dimension. Relying on similarities between the practice of reduced listening and the utilization of low-level audio descriptors, we present the first version of a real-time setup in which these descriptors are applied to qualify percussive sounds. The paper describes the tools and strategies used for addressing different criteria: envelope followers with different window sizes and filtering; detection of transients and amplitude modulations; extraction and counting of spectral components; estimation of intrinsic dissonance and spectral distribution; among others. The extracted data is subjected to simple statistical analysis, producing scalar values associated with each segmented object. Finally, we present a variety of examples.
Predicting movie revenue before committing significant investments

ABSTRACT A movie originates at the development stage when investors evaluate multiple scripts, attach key cast and crew, and shape the budget. Investors prefer to consider various scenarios before committing a large sum of money when selecting the key cast and crew. An accurate revenue prediction at this early stage reduces the risk of investment. We use a little information available at the early stage to predict movie revenue to enhance potential investors’ decision-making before greenlighting the project. In this study, we develop a movie revenue prediction model using multiple predictors, which are essentially based on key cast and crew, the storyline (movie genre), and the distinctive characteristics of the movie, which are available at the development stage. Our study applies multiple machine learning algorithms to predict movie revenue and demonstrates significant improvement over traditional statistical regression methods. The most accurate machine learning algorithm reduces the forecast error of total and opening-week box office revenue by 10.02% and 9.20%, respectively, over the benchmark multivariate linear regression method. Our results exhibit that including a movie’s distinctive characteristics reduces the average forecast error of total and opening-week box office revenue across all algorithms by 9.22% and 8.43%, respectively.
Finite-Time Orbit Control for Spacecraft Formation with External Disturbances and Limited Data Communication

This work addresses the finite-time orbit control problem for spacecraft formation flying with external disturbances and limited data communication. A hysteretic quantizer is employed for data quantization in the controller-actuator channel to decrease the communication rate and prevent the chattering phenomenon caused by the logarithmic quantizer. Combined with the adding one power integrator method and backstepping technique, a new finite-time tracking control strategy with adaptation law is designed to ensure that the closed-loop system is practical finite-time stable, and that the tracking errors of relative position and velocity are bounded within finite-time despite with limited data communication and external disturbances. Finally, an example is shown to validate the effectiveness of the proposed finite-time tracking controller.
Design, Numerical Modelling and Analysis of a Semi-submersible Floater Supporting the DTU 10MW Wind Turbine.

In recent years, the demand for renewable energy has increased significantly because of its lower environmental impact than conventional energy technologies. Wind power is one of the most important sources of renewable energy produced nowadays. As land based turbines have reached their maximum potential, recent market trends are moving into deeper waters with higher capacity turbines. The design of a floating offshore wind turbine (FOWT) foundation poses few technical challenges. Floating stability, favourable motion characteristics and introduction of cost effective solutions to name a few. Moreover, as deep water offshore designs are still at an early stage of development, numerical modelling of the coupled dynamic behaviour also remains one of the key issues. This work presents the design of a semi-submersible floater that can support the generic, publicly available DTU 10MW RWT. The design is developed from NREL 5MW WindFloat and verified with detail stability analysis in GHS, rigid body motions and wave frequency loads are calculated using Wadam. The interaction between wind loads on the pitch controlled rotor and motions of the floating structure are captured by coupled aero-hydro-servo-elastic simulations in SimoRiflex-AeroDyn (SRA). Platform and turbine responses are compared against a Spar and TLP supporting the same wind turbine for identical environmental conditions. Based on simulation results, it is found that the semi-submersible platform has satisfactory responses in different operational and in extreme wind condition. The design is proved to have the lowest displacement (and draft) compare to the Spar and TLP which will allow the semi-submersible platform to employ equally in intermediate and deep water offshore.
The Reassessed Potential of SARS-CoV-2 Attenuation for COVID-19 Vaccine Development—A Systematic Review

Live-attenuated SARS-CoV-2 vaccines received relatively little attention during the COVID-19 pandemic. Despite this, several methods of obtaining attenuated coronaviruses are known. In this systematic review, the strategies of coronavirus attenuation, which may potentially be applied to SARS-CoV-2, were identified. PubMed, Scopus, Web of Science and Embase databases were searched to identify relevant articles describing attenuating mutations tested in vivo. In case of coronaviruses other than SARS-CoV-2, sequence alignment was used to exclude attenuating mutations that cannot be applied to SARS-CoV-2. Potential immunogenicity, safety and efficacy of the attenuated SARS-CoV-2 vaccine were discussed based on animal studies data. A total of 27 attenuation strategies, used to create 101 different coronaviruses, have been described in 56 eligible articles. The disruption of the furin cleavage site in the SARS-CoV-2 spike protein was identified as the most promising strategy. The replacement of core sequences of transcriptional regulatory signals, which prevents recombination with wild-type viruses, also appears particularly advantageous. Other important attenuating mutations encompassed mostly the prevention of evasion of innate immunity. Sufficiently attenuated coronaviruses typically caused no meaningful disease in susceptible animals and protected them from challenges with virulent virus. This indicates that attenuated COVID-19 vaccines may be considered as a potential strategy to fight the threat posed by SARS-CoV-2.
Research and implementation of industrial rebar inventory mobile application program based on YOLOv5 algorithm

In view of the current construction site, the steel bar inventory work is still using manpower counting method, the process is cumbersome, time-consuming and inefficient. YOLOv5s algorithm was used to train the rebar counting lightweight model, Mosaic data was used to enhance the data set, and CSP structure was used to enhance the feature extraction ability of the model. Compared with the existing mainstream lightweight models such as YOLOV3-Tiny and Mobilenet-SSD, the mAP of YOLOv5s reached 0.994. In order to overcome the impact of complex environment and better apply to smart site, the model was deployed to Mobile devices using Pytorch Mobile framework. In the test set, the counting accuracy of the mobile application of reabar inventory is above 0.98, and the detection effect is equivalent to that of the server. Experimental results show that YOLOV5s intelligent reabr counting model deployed to mobile terminal has good detection accuracy and accuracy.
Hot Streaks in the Brazilian Music Market: A Comparison Between Physical and Digital Eras

Consuming music through streams has made huge volumes of data available. We collect a part of such data and perform cross-era comparative analyses between physical and digital media for successful artists within the music market in Brazil. Given an artist’s career, we focus on hot streak periods defined as high-impact bursts occurring in sequence. Specifically, we construct artists’ success time series to detect and characterize hot streak periods for both physical and digital eras. Then, we assess their features, analyze them in the genre scale, and perform a cluster analysis to identify groups of artists with distinct success levels. For both physical and digital eras, we find the same clusters: Spike Hit Artists, Big Hit Artists, and Top Hit Artists. Our insights shed light on significant changes in the dynamics of the music industry over the years, by identifying the core of each era.
Analysis of Electric Disturbances from the Static Frequency Converter of a Pumped Storage Station

The present work studies the disturbances created in the electric system of a pumped storage power plant, which is an hydraulic generation facility where the machines can work as turbines or pumps, by the operation of a static frequency converter (SFC). The SFC is used for starting the synchronous machines at the station when in the pump mode. During the starting process several equipment is connected to the SFC being possible to get affected by the disturbances generated. These disturbances mainly include the creation of transient overvoltages during the commutation of the semiconductor devices of the SFC and the introduction of harmonics in the network currents and voltages. This work analyzes the possible effects of the SFC operation over the station equipment based on computer simulations. For this purpose, the complete system was modeled and the starting process simulated in a computer transient simulator program. The work begins with a general review of the effects of electric disturbances over high voltage equipment and in particular of the disturbances generated by power electronics conversion equipment. Then the models for the different kind of equipment present in the system are discussed and formulated. The control system that governs the operation of the SFC during the starting process is analyzed later as well as the operation conditions. Once the model of the system is set up, the harmonic analysis of the electric network is done by frequency domain and time domain methods. Time domain methods are also employed for the analysis of the commutation transient produced by the SFC operation. Finally, the simulation results are used to evaluate the impact of the SFC operation on the station equipment, especially on the generator step up transformer.
Cross-Cultural Learning: A Visualized Bibliometric Analysis Based on Bibliometrix from 2002 to 2021

With the significant increase of studies on cross-cultural learning (CCL) in the recent two decades, it is essential to conduct a systematic review of various literature and their development processes. This article is aimed at revealing research hotspots and emerging trends in CCL studies. This study adapted a visualized bibliometric approach to analyze research articles in the Cross-Cultural Learning-Internet of Things area. We extracted papers published in respected journals as the dataset. Based on bibliometrix, this study collects 1,899 records indexed in the Core Collection of Web of Science (WoS) in the domain of CCL from 2002 to 2021. The findings indicate that the number of published articles shows an apparently upward trend; the United States occupies the leading position, while the most productive journal is Computers & Education; King from Nanyang Technological University of Singapore is the most prolific author, and Nielsen ranks the first in terms of citation; cross-cultural, culture, learning, cross-cultural comparison, and cross-cultural research are found to be the most high-frequency keywords used by authors; cross-cultural projects, students and teachers, cross-cultural research, and educational technologies are the most discussed topics in this field; several notable topics related to CCL and Internet of Things. Visualization study is beneficial to track the hotspots and frontiers of CCL studies in order to effectively grasp the breakthrough points for future research. The results provide helpful information for newcomers, researchers, scholars, and practitioners to identify knowledge gaps, point out future research directions, and move this field forward.
LENGTH OF SERIAL ELASTIC ELEMENT AND CONTRACT ELEMENT DURING VERTICAL JUMP: COMPARISON OF STATIC OPTIMIZATION AND DYNAMIC OPTIMIZATION

The purpose of this study was to: (1) compare the length of serial elastic element, contract element estimated by two different optimizations, and (2) examine that whether those methods are able to evaluate the length of serial elastic element, contract element. One healthy male performed a vertical jump with the maximal effort from a squat position. The coordinate data and the ground reaction force were obtained with a 3D motion analysis system (250Hz) and force platform (10WHz). For a dynamic optimization, we developed muscle activation driven forward dynamics simulation model. As a result, the pattern of length of element estimated by the dynamic optimization was similar to the pattern reported by Kurokawa et al. (2001). On the other hand, the pattern of length of element estimated by the static optimization differed from the pattern reported by Kurokawa et al. (2001). This finding might be useful to clear the mechanics of human movements.
A PWM Current-Source Inverter for High Quality Drives

SummaryWith fast microprocessors and suitable switching devices such as GTO thyristors CSI-drives are considerably improved. Sinusoidal input and output currents are replacing the block-shaped currents of sequentially commutated inverters and a sophisticated control permits fast dynamic response. To achieve this goal, the resonant circuit consisting of the capacitors at the invener terminals and the machine inductances has to be kept under close control. With an online calculation of the PWM switching times, not only the voltages but also the Currents are maintained very close to the reference value, even at limited switching frequency. Measurements at the machine-side converter show the distinctive features of this drive system at various operating points.
Reducing risky interactions: Identifying barriers to the successful management of human–wildlife conflict in an urban parkland

1. Managing activities that result in human– wildlife conflict is a challenging goal for modern scientists and managers. In recent years, the self-motivated feeding of wildlife by humans has garnered popularity but with consequent risks for the health and safety of both parties. This has resulted in calls for management in areas of high contact, for example, parklands. Traditional controls are typically utilised (i
Performance evaluation of Local Features for Object Discovery

Performance evaluation of Local Features for Object Discovery Object recognition is one of the most challenging tasks in computer vision. A common approach in recognizing an object begins by detecting local features in image using a feature detector and describing detected features in terms of feature vectors using a feature descriptor. Many local feature detectors and feature descriptors have been proposed in literature. This work evaluates performance of two successful feature detectors and five feature descriptors on three datasets with unique characteristics. Based on the information content in a given dataset we find general trends on the performance of local features. Our findings will guild computer vision practitioners selecting between alternative local feature detector and local feature descriptor to design highly accurate recognition systems.
An Application of Evolutionary Algorithms to Music: - Co-Evolving Melodies and Harmonization

Algorithmic composition is a field that is close to 60 years old, and has seen much research. Systems today are able to do a wide range of compositional tasks, ranging from simple melody generation to fully automated orchestral composition. Systems for computer aided composition are becoming more and more common, either to evaluate music created by humans, or as generators of raw material to be used by composers. This Master’s Thesis describes a novel implementation of a multi-objective evolutionary algorithm, that is capable of generating short musical ideas consisting of a melody and abstract harmonization. The implementation is capable of creating these ideas based on provided material, or autonomously. Three automated fitness features were adapted to the model to evaluate the generated music during evolution, and a fourth was developed for ensuring harmonic progression. Four rhythmical pattern matching features were also developed. The implementation produced 21 pieces of music, under various configurations, that were evaluated in a study. The results of this study indicates that the system is capable of composing ideas that are subjectively interesting and pleasant, but not consistently.
Alternative approach to compute shear amplification in high‐rise reinforced concrete core wall buildings using uncoupled modal response history analysis procedure

The seismic response of the high‐rise reinforced concrete (RC) wall structures is really complicated as several vibration modes other than the fundamental mode normally contribute significantly to the response—commonly recognized as ‘higher mode effects’. Response spectrum analysis (RSA) procedure, which can account for higher mode effects, is usually employed to compute the seismic design demand for the high‐rise structures. Recent studies show that the inelastic seismic force demands obtained from the rigorous nonlinear response history analysis procedure are much larger than the seismic force design demands obtained from the code‐based RSA procedure for the high‐rise RC wall structures. Though, the nonlinear response history analysis procedure is widely accepted for its ability to provide the most accurate estimate of nonlinear seismic responses, the obtained responses are generally so complex that it is quite difficult for engineers to grasp the overall picture of the responses and gain some insight into them and use them to understand the cause of high seismic demands. Another important issue related to the nonlinear seismic response prediction of the high‐rise RC wall structures is the realistic and accurate numerical modeling of RC walls. In this study, a simplified but reasonably accurate procedure called the uncoupled modal response history analysis procedure is used to interpret the complex nonlinear behavior of high‐rise RC wall structures. Moreover, a finite element model based on modified compression field theory is employed for accurate numerical modeling of RC walls by incorporating the axial‐flexure‐shear interaction. This study, by making use of a better computer modeling approach and an in‐depth analysis by modal decomposition, aims to resolve some of the unanswered questions regarding realistic prediction of nonlinear seismic demands of high‐rise structures.
Factors Influencing Impulse Buying Behavior

Impulse buying is a classic example of undefinable strong emotional desire that motivates one to purchase a product. Interesting subject to study the reasons of breaking the rules where the extrinsic factors investigated in this study can be linked to the fight between the “New Brain(neocortex)vs. Old Brain(reptilian brain)” where reptilian brain always wins as it responds to six stimuli namely1) self-centered,2) contrast,3) tangible,4) beginning and end,5) visual,6) emotion that creates chemical events in the brain leading to take the decision in unconscious level or a transient state between conscious and unconscious level. Various factors quantified in this study bear the manifestation of these intrinsic factors. Data has been collected from the general population through online mode, and the SPSS tool has been used to substantiate the study