Miracle-dz/UniFAR-FTUs huggingface dataset:
Molecular Docking and Molecular Dynamics Studies of SARS-CoV-2 Inhibitors: Crocin, Digitoxigenin, Beta-Eudesmol and Favipiravir: Comparative Study

In this study, Crocin, Digitoxigenin, Beta-Eudesmol, and Favipiravir were docked in the active site of SARS-CoV-2 main protease (PDB code: 6LU7). The docking study was followed by Molecular Dynamics simulation. The result indicates that Crocin and Digitoxigenin are the structures with the best affinity in the studied enzyme's binding site. Still, Molecular Dynamics simulation showed that Digitoxigenin is the molecule that fits better in the active site of the main protease. Therefore, this molecule could have a more potent antiviral treatment of COVID-19 than the other three studied compounds.
ggdist: Visualizations of Distributions and Uncertainty in the Grammar of Graphics

The grammar of graphics is ubiquitous, providing the foundation for a variety of popular visualization tools and toolkits. Yet support for uncertainty visualization in the grammar graphics—beyond simple variations of error bars, uncertainty bands, and density plots—remains rudimentary. Research in uncertainty visualization has developed a rich variety of improved uncertainty visualizations, most of which are difficult to create in existing grammar of graphics implementations. ggdist, an extension to the popular ggplot2 grammar of graphics toolkit, is an attempt to rectify this situation. ggdist unifies a variety of uncertainty visualization types through the lens of distributional visualization, allowing functions of distributions to be mapped to directly to visual channels (aesthetics), making it straightforward to express a variety of (sometimes weird! ) uncertainty visualization types. This distributional lens also offers a way to unify Bayesian and frequentist uncertainty visualization by formalizing the latter with the help of confidence distributions. In this paper, I offer a description of this uncertainty visualization paradigm and lessons learned from its development and adoption: ggdist has existed in some form for about six years (originally as part of the tidybayes R package for post-processing Bayesian models), and it has evolved substantially over that time, with several rewrites and API re-organizations as it changed in response to user feedback and expanded to cover increasing varieties of uncertainty visualization types. Ultimately, given the huge expressive power of the grammar of graphics and the popularity of tools built on it, I hope a catalog of my experience with ggdist will provide a catalyst for further improvements to formalizations and implementations of uncertainty visualization in grammar of graphics ecosystems. A free copy of this paper is available at https://osf.io/2gsz6. All supplemental materials are available at https://github.com/mjskay/ggdist-paper and are archived on Zenodo at doi:10.5281/zenodo.7770984.
A Coupled Solution Procedure for Zonal Radiative and Convective Heat Transfer in 3-D Enclosures With Blockages and Screens

A new 3D method of modeling convective-diffusive (CDT) heat transfer and zonal radiation transfer (ZRT) employing different calculation schemes and multi-scale curvilinear grids is presented. The coarse multiblock unstructured grid calculation domain allows use of a conservative and an accurate zonal radiation transfer method with only modest computational effort that requires only a small fraction of total processor CPU time. The blockages (e.g., bars in a furnace) and screens have their own very coarse grids. This reduces the time for defining their intersections with rays. Structured fine grid is used for convective-diffusive (CDT) calculations. The main difficulty (i.e., in coupling between CDT and ZRT numerical computations) is successfully overcome using a simple algorithm. The zonal radiation transfer method is based on a fast algorithm for calculating view factors and total exchange areas. The present approach is fast, efficient and accurate for gas fired furnaces and complex internal configurations of the work pieces with many blockages and screens. The utility of the method is demonstrated by calculating the heating of a hundred round metal bars arranged in a continuous natural gas fired furnace. Good agreement between calculations and industrial experiments is demonstrated.Copyright © 2007 by ASME
Improve Power Factor and Reduce the Harmonics Distortion of the System

This paper discusses the improve power factor and reduce the harmonics distortion of system. Poor power factor costs our community in increased electricity charges and unnecessary effect in the system and poor power quality. In electrical plants the loads draw from the network electric power (active) as power supply source (e.g. personal computers, printers, etc.) or convert it into another form of energy (e.g. electrical lamps or stoves) or into mechanical output (e.g. electrical motors) or rectifier. To smooth such negative effect, the power factor correction of the electrical plants is carried out. The power factor correction obtained by using power factor correction switches banks to generate locally the reactive energy necessary for the transfer of electrical useful power, allows a better and more rational technical-economical management of the plants. The system is capable of correcting power factor up to unity or adjusting it according to user desire. The proposed system is characterized by, no generation of harmonics, and reduction of transmission losses. Simulation results are reported and proved to be in good agreement with the relevant experimental results.
Where is the beef

Virginia Cooperative Extension programs and employment are open to all, regardless of race, color, national origin, sex, religion, age, disability , political beliefs, sexual orientation, or marital or family status. An equal opportunity /affirmative action employer. Issued in furtherance of Cooperative Extension work, Virginia Poly technic Institute and State University , Virginia State University , and the U.S. Department of Agriculture cooperating. Edwin J. Jones, Director, Virginia Cooperative Extension, Virginia Tech, Blacksburg; Jewel E. Hairston, Administrator, 1890 Extension Program, Virginia State, Petersburg. C o ll e g e o f Ag ri c u lt ur e a nd L i f e S ci e n c e s
An experimental air bag test system for the study of air bag deployment Loads

Abstract An Air Bag Test System (ATS) to study air bag-occupant interactions during close proximity deployment has been developed as a research tool to experimentally simulate controllable and repeatable air bag deployments against targets with various standoff distances. The ATS was calibrated to replicate target response to an arbitrarily selected commercially-available air bag inflator type. A mathematical model was developed to describe the ATS deployment with favourable validation. The model follows an integral approach that treats the unfolding of the bag during deployment as a uniform thinning surface with specified volume-area functions. The model was used to explain the experimental data and provide insight into the energy partition during a deployment including the effects of varying inflator temperature and vent holes on target contact load. The ATS and the model were used to generate benchmark data for computational model and code development validations. One air bag type was studied giving results that are extendable to a wide variety of fleet air bags. Results provided insights on the effects of inflation energy and mass flow on target response. They show that only a very small fraction (3%) of the total deployment energy is delivered to a target. while 60% is stored in the air bag. For a sealed bag, the target response is independent of inflator temperature if the total energy is held constant. Venting reduces the target load primarily during the final pressurization (membrane) phase. For a vented bag, the target velocity decreases with higher inflator temperature.
Burn Center Patients at Risk for Upper Extremity Amputations

Introduction Burn center patients present not only with burn injuries but also necrotizing infections, purpura fulminans, frostbite, toxic epidermal necrolysis, chronic wounds, and trauma. Burn surgeons are often faced with the need to amputate when limb salvage is no longer a viable option. The purpose of this study was to determine factors which predispose patients to extremity amputations. Methods: This retrospective registry review (2000-2019) compared patients who required upper extremity amputations with those who did not. Cases were pair-matched by age, sex, percent total body surface area (%TBSA), and type/location of injury to control for possible confounding variables. Results: There were 77 upper extremity amputee patients (APs) and 77 pair-matched non-amputees (NAPs) with the median age 45- and 43-years, %TBSA 21 and 10, respectively; second and third degree burn injuries were similar in the 2 groups. The AP group had longer hospitalizations (median 40 vs 15 days) P < . 0001, with more intensive care unit days (median 28 vs 18 days). APs presented with significantly more cardiac, renal, and pulmonary comorbidities, acquired infections (61 [64%] vs 35 [36%]), escharotomies, and fasciotomies than the NAP, P < . 0001. Mortality was similar (AP 14 [18.2%] vs NAP 9 [11.7%]), P = . 26. Conclusions: Escharotomies, fasciotomies, sepsis, pneumonia, wound, and urinary tract infections contributed to prolonged hospitalizations and increased risk for upper extremity amputations in the AP group.
Perceived Effects of Electronic Filing and Billing Systems for Lecturers as Researchers

Tax is the main source of government revenue so that the government strives to make taxpayers more obedient in carrying out their obligations. The provision of information technology is a breakthrough made by the government to improve taxpayer compliance. The purpose of this study is to analyze the use of e-filing and e-billing applications for tax compliance and the understanding of lecturers in their role as researchers and taxpayers. The study used the theories of Technology Acceptance Model (TAM) and Theory of Reasoned Action (TRA) for explaining the correlation between variables used. The sampling technique used purposive sampling, and the respondents in this study were 123 lecturers as researchers in Semarang City who used the e-filing system in their tax reporting and understood the use of the e-billing system as a tax payment application. The analysis technique used was multiple regression analysis. The results of the study showed that the use of e-filing and e-billing actually affects the researchers' tax compliance.Keywords: compliance, e-billing, e-filing, system, taxABSTRAKPajak adalah sumber utama pendapatan pemerintah sehingga pemerintah berupaya membuat pembayar pajak lebih patuh dalam menjalankan kewajibannya. Penyediaan teknologi informasi merupakan terobosan yang dilakukan oleh pemerintah untuk meningkatkan kepatuhan wajib pajak. Tujuan dari penelitian ini adalah untuk menganalisis penggunaan aplikasi e-filing dan e-billing untuk kepatuhan pajak dan pemahaman dosen dalam perannya sebagai peneliti dan juga sebagai pembayar pajak. Penelitian ini menggunakan teori Technology Acceptance Model (TAM) dan Theory of Reasoned Action (TRA) untuk menjelaskan korelasi antara variabel yang digunakan. Teknik pengambilan sampel menggunakan purposive sampling, dan responden dalam penelitian ini adalah 123 dosen sebagai peneliti di Kota Semarang yang menggunakan sistem e-filing dalam pelaporan pajak mereka dan memahami penggunaan sistem e-billing sebagai aplikasi pembayaran pajak. Teknik analisis yang digunakan adalah analisis regresi berganda. Hasil penelitian menunjukkan bahwa penggunaan e-filing dan e-billing mampu mempengaruhi kepatuhan pajak para dosen sebagai peneliti.Kata kunci: kepatuhan, e-billing, e-filing, sistem; pajak
A novel nano-mechanical displacement detection based on a photonic nanowire waveguides coupler

Microoptoelectromechanical systems (MOEMS) are promising choices in achieving compact and yet precise sensors with intensity / phase modulation techniques or resonance shift based techniques. Particularly in the area of displacement sensing, MOEMS device may potentially offer a high accuracy and yet compact solution for highly sensitive portable sensors. We propose a novel approach of a hybrid device consisting of nano-mechanical structures and nanowire silicon photonics to achieve a new displacement sensing mechanism that does not require segmentization or intersecting of waveguides. In this work, we demonstrate that by optimizing a relatively broadband air-suspended nanowire waveguide directional coupler design that is integrated using silicon photonics structures, we can achieve sufficient attenuation without the need of waveguide segmentization thus effectively reducing the undesired insertion and coupling losses. First, we numerically design and optimize, utilizing a 3D FDTD numerical method, a nanowire waveguide directional coupler that is capable of achieving a -13 dB extinction ratio at submicron displacements. Next, we fabricate the proposed nanowire photonic waveguide directional coupler utilizing a simple and monolithic fabrication approach. The nano-mechanical structures are then characterized and calibrated in-situ under a scanning electron microscopy (SEM). The optical sensitivities of the waveguide directional couplers are then characterized on a vibration isolation optical table under low noise conditions. The noise spectrum densities are also characterized by driving the structures under an AC actuating voltages to understand the minimum detectable nano-displacements.
A COMPARATIVE ANALYSIS OF PERFORMANCE OF SELECT LARGE CAP EQUITY AND INDEX MUTUAL FUND SCHEMES IN INDIA

The present study investigates the past performance of open-ended, growth-oriented, direct plans of large cap equity and index schemes for 1 year, 3 years and 5 years period. S&P BSE 100 and NIFTY 50 were used as Benchmark indices for Large Cap Equity and Index Schemes, respectively. The historical performance of the selected schemes was evaluated based on Weighted Average Return, Mean, Standard Deviation, Alpha, Beta, Sharpe, Tracking Error and Coefficient of Determination (r 2 ); the results of the study will be useful to investors in taking better investment decisions. The return analysis has revealed that none (0%) of the selected index schemes have delivered weighted average returns below NIFTY 50 index whereas 5 out of 10 large cap schemes have delivered above BSE 100 index returns. As per risk-return analysis, UTI NIFTY Index Fund is advisable to aggressive investors (for those willing to take higher risk for superior returns) whereas Franklin India Index Fund-NSE Nifty Plan is suitable for risk-averse investors (those looking for risk free returns). Similarly, Axis Blue Chip Fund and JM Large Cap Fund are suited to aggressive and conservative investors, respectively. in terms of return and risk analysis, and risk adjusted performance measures such as Standard Deviation, Alpha, Beta, R-Squared, Sharpe ratio, etc. In terms of weighted average returns, none of the index schemes could beat the market returns whereas 50% of the large cap schemes had outperformed the market. LIC MF Index Fund Nifty Plan (14.02) and Nippon India Large Cap Fund (13.88) had the highest Standard Deviation (total risk) whereas Franklin India Index Fund - NSE Nifty Plan and JM Large Cap Fund (6.97) had the lowest standard deviation. Coming to Alpha, LIC MF Index Fund - Nifty Plan (2.72) and Axis Bluechip Fund (7.73) had the highest whereas Aditya Birla Sun Life Index Fund (-0.98) and Franklin India Bluechip Fund (-3.97) were with the lowest/negative alpha among the selected schemes. 9 out of 10 index schemes had beta value of less than 1.00 which meant that they had a low risky portfolio compared to the benchmark index; 5 out of 10 large cap schemes had a beta of less than 1.00. UTI Nifty Index Fund (0.79) and Axis Bluechip Fund (1.40) showed the highest Sharpe, HDFC Top 100 Fund (0.40) and Aditya Birla Sun Life Index Fund (0.72). Coming to tracking error, it was the highest in LIC MF Index Fund - Nifty Plan (4.73) and HDFC Top 100 Fund (6.45) whereas it was the lowest in SBI Nifty Index Fund (0.05) and Mirae Asset Large Cap Fund (2.32). The coefficient of determination ( r 2 ) in 9 out 10 index schemes was near to 100% which indicated higher diversification of portfolio whereas only
CP microstrip antenna with wide beamwidth for GPS band application

This paper presents a technique developed for increasing the beam width of the circularly polarised (CP) radiation. With a pyramidal ground structure and a partially enclosed flat conducting wall adopted the designed CP patch antenna has a height of about 0.121 only and exhibits a 3 dB axial-ratio beamwidth of more than 130deg. The experimental results for operating in the 1575 MHz GPS band are presented and discussed.
Development and characterization of green banana-based fondant icing

ABSTRACT The insertion of functional foods in the confectionery industry is a growing reality, aiming to meet a growing demand for products that are visually attractive and at the same time healthy. The present study aimed to develop and characterize the physical, physicochemical, microbiological, and sensory properties of fondant icings based on green banana biomass and flour. Two formulations were developed (NFBI - Neutral Flavor Biomass-based Icing, and CFBI - Chocolate Flavor Biomass-based Icing), which were compared with the commercial fondant icings (NFCI - Neutral Flavor Commercial Icing, and CFCI - Chocolate Flavor Commercial Icing). The fondant icings were evaluated for centesimal composition, caloric value, physical, physicochemical (resistant starch, titratable acidity, water activity, texture, and color), and microbiological characteristics, as well as sensory acceptance. The icings based on green banana biomass and flour showed higher levels of ash, fiber, resistant starch, and protein, as well as lower total caloric value, and thus, were healthier. These icings were also softer and had more intense color compared to commercial ones, as well as good sensory acceptance, especially the one with chocolate flavor, which had greater than 72% approval. Microbiological analyses indicated that the icings could be stored under refrigeration (<4 oC) for 30 days. Given the nutritional quality and health benefits, the icings prepared with green banana biomass and flour proved to be promising and could serve a niche market represented by people who seek a healthier diet or need to control their sugar consumption, such as diabetics.
Complementary Information Distribution to Improve Team Performance in Military Helicopter Operations: An Experimental Study

This study compared a complementary information distribution, that is, purposeful distribution to individual crewmembers of the information needed for their individual tasks, to the current distribution where all crewmembers can access all information in the flight deck. The complementary information distribution is intended to foster a complementary mental model that promotes each team member's access to information according to his or her immediate tasks. The hypothesis—that the complementary information distribution would improve performance and team interaction—was tested in a high-fidelity military helicopter flight simulator with 20 Army aviators. The complementary information distribution was found to have no effect or a positive effect (and no negative effects) on measures of individual's task performance and error rates, with greater positive effects on most measures in off-nominal compared to nominal flight conditions. In addition, measures of team communication and awareness of fellow crewmembers' information needs and workload also found only no effect or positive effects with a complementary information distribution.
PropaGator 2013: UF Autonomous Surface Vehicle

PropaGator is a fully autonomous surface vehicle built to participate in the Association for Unmanned Vehicles Systems International’s (AUVSI)’s 2013 RoboBoat Competition. This year’s event will be held in Virginia Beach, Virginia. PropaGator consists of an aluminum superstructure built upon a catamaran design. This paper describes the hull design, electrical design, software infrastructure, and PropaGator’s approach to completing the challenges presented in the RoboBoat 2013 competition.
Efektivitas Penggunaan E-Modul Pada Mata Kuliah Statistika Di Program Studi Pendidikan Teknik Bangunan Fakultas Teknik Universitas Negeri Jakarta

This research aims to find out the effectiveness of the use of e-modules in statistics courses in the Building Engineering Education Study Program of The State University of Jakarta which is seen through learning outcomes. The method used is Quasi Experimental with the form The Randomized Control Group Design. The sample in this study is an affordable sample, namely students who take statistics courses in the 114th semester of 2020/2021. In this study, the sample was divided into two, namely the group given treatment in the form of learning using the teaching materials e-module statistics as an experimental class and the other group using conventional teaching materials as a control class. Data collection is carried out using test instruments of learning outcomes that will be given in experimental classes and control classes. The results showed that the average learning outcome score for the experimental class was 68.79 and for the control class the average score was 55.47. In the test t using the independent sample test technique, the results of = 4,354 = 1,999. The analysis also showed a significant (2-tailed) rate of 0.000 < 0.05. Based on these results, it can be concluded that the e-module statistics effectively has a positive impact on the learning outcomes of students of the Building Engineering Education Study Program of The State University of Jakarta.
Cost-Efficient Beam Management and Resource Allocation in Millimeter Wave Backhaul HetNets With Hybrid Energy Supply

Energy consumption accounts for a significant portion of OPEX in 5G networks, which will be further increased when millimeter-wave (mmWave) base stations are deployed. To reduce the cost, renewable energy has been introduced to provide complementary power supply. Nevertheless, how to cost-efficiently utilize radio resources and renewable energy remains a challenge. In this paper, we jointly investigate the beamwidth management and resource allocation in mmWave backhaul HetNets with hybrid energy supply aiming to maximize long-term cost efficiency. This requires solving a mixed stochastic combinatorial optimization problem, characterizing the causal property of renewable energy harvesting process, stochastic channel conditions, and imperfect antenna alignment. Considering the complexity and dynamic environment, a learning system is established instead of using traditional optimization methods which typically experience exponential worst-case complexity and require complete information. Specifically, we propose a Learning-based Cost-efficient Resource Allocation (LCRA) algorithm that employs deep neural network to learn policies from experiences to ensure system performance while achieving cost-efficiency. To enhance the sampling efficiency and stability of the conventional deep reinforcement learning methods for our problem, an improved proximal policy optimization method is proposed to reuse the history samples. Specifically, a modified clip function is designed to deal with the hard restrictions between current and old policies. Furthermore, random network distillation is introduced to enhance the exploration capability. Numerical results reveal the convergence performance of the LCRA and the superiority in improving the cost efficiency in a hybrid energy powered mmWave backhaul HetNet compared with state-of-the-arts