Miracle-dz/UniFAR-FTUs huggingface dataset:
Spatial Analysis of Covid-19 Distribution: case studies in Indonesia and Malaysia

Covid-19 has had an effect on various aspects of life. This study was to compare spatial distribution of covid-19 in Indonesia and Malaysia and its prevention efforts. The design of this study is a comparative study using descriptive analysis. Research was carry out in June through September 2020, taking location in Yogyakarta Special Region, Indonesia and Perak, Malaysia. Research focuses to data on infected positive patients with covid-19. Research data uses a secondary data, which is official statistics of covid-19. Statistical data then tabulated and mapping. The administrative map of both research sites used as a basis for the production spatial distribution map of positive patients infected with covid-19. Research shows that the number of positive patients infected by covid-19 June through September 2020 in five districts of Yogyakarta Special Region, Indonesia continued to increase significantly. Judging from time, spatial factors changes in covid-19 risk zones occurred in June to September 2020. Public movement and open access to Central Java Province causes 5 districts on Yogyakarta Special Region enter the high risk zone covid-19. Compared with Perak, Malaysia it different, spatially covid-19 infected number of positive patients in Perak, six district are relatively steady and four district are increasing. The increase occurred in Kinta District of July and August 2020, Kerian District of August 2020, Kuala Kangsar District of July 2020, and Perak Tengah District of September 2020. Judging from time, spatial factors do not changes the covid-19 risk zone from June to September 2020. Public movement and open access to Kedah, Kelantan, and Selangor caused two districts in Perak enter the high risk zone covid-19, five districts enter the medium risk zone covid-19, and three district enter the low risk zone covid-19. Indonesia and Malaysia's government efforts to prevent the spread of covid-19 are almost the same, which are restrictions on several public activities, clean and healthy socialization of living behaviour in all sectors, implementation of health discipline protocol in new normal, and provide of update covid-19 information data. The difference, lies in implementation lockdown, which some areas in Indonesia include Yogyakarta Special Region do not apply on Large Scale Social Restrictions (LSSR) like Jakarta, while a full implementation of lockdown in Malaysia through Movement Control Order (MCO) including Perak, so a growing number of covid-19 cases can be more pressure.
Effect of transverse load-resisting elements on inelastic earthquake response of eccentric-plan buildings

The accurate evaluation of code torsional provisions for plan-eccentric structures exhibiting inelastic response relies on the adoption of appropriate systems defining both the torsionally balanced (reference) and torsionally unbalanced cases. Whilst a considerable number of analytical studies of this problem have been presented in the literature, inconsistencies have arisen in their conclusions. It is evident from a review of previous studies that one factor contributing significantly to these discrepancies arises in the definition of the structural layout. An issue of particular importance is whether the transverse load-resisting elements oriented perpendicular to the assumed (lateral) direction of earthquake loading should, for purposes of realism, be included in model definitions. Given the diverse approaches in the existing literature, clarification of this issue is required in order to advance the understanding of inelastic torsional response behaviour and to assist the interpretation and comparison of previous studies. This paper aims to provide such clarification, based on analyses of a series of models defined rigorously according to code design provisions. Such models have been subjected to both uni- and bi-directional ground motion input. It is concluded that for the flexible-edge element, accurate estimates of additional ductility demand arising from torsional effects may be obtained from uni-directional models (in which both the transverse elements and the corresponding earthquake component are neglected) only for medium-period to long-period systems. Such estimates may be over-conservative for short-period systems, which constitute a large proportion of systems for which code static torsional provisions are utilized. It is further concluded that models incorporating the transverse elements but analysed under uni-directional lateral loading may underestimate by up to 100% the torsional effects in such systems, but are reasonably accurate for medium- and long-period structures.
High-Performance Abaqus Simulations in Soil Me- chanics Reloaded - Chances and Frontiers

Abaqus is often used for soil mechanical purposes to solve complex boundary value problems. Simulations of geomechanical boundary value problems are rather complex because of the complexity of the material which incorporates stress dependent material behaviour or different stiffness for loading and unloading conditions for example. Furthermore, typical soil consists of three phases including the soil skeleton, pore water and pore air which lead to complex interaction. Moreover, the loading conditions typical in geomechanics often cause large deformations of the soil continuum which has to be considered in the choice of the appropriate calculation tool. In this contribution several approaches are discussed to take into account the complexity of geomechanical boundary value problems. The complex soil behaviour is implemented via (V)UMAT user subroutines, first approaches for the implementation of the soil's two-phases via user elements or the constitutive behaviour respectively are demonstrated and the application of the explicit FEM-, CEL- and SPH-method for large deformation simulations is discussed. The paper mainly focuses on the chances and frontiers our research group encountered during the last years of research dealing with high performance large deformation simulations in geomechanics under highly complex conditions. Concluding, several examples of complex boundary value problems are presented. For example, the numerical simulation of screwed full displacement piles and the collision of a ship with the foundation of an offshore wind energy plant are discussed in detail.
Characterization of potential probiotics isolated from fermented under-utilized Chrysophyllum albidum Linn kernels using microbiological, biochemical and molecular techniques

Chrysophyllum albidum is a crop of commercial value in Nigeria, however, the seeds are either used for local games or thrown away. This study aimed at exploring this under-utilized kernel as a novel source for obtaining health beneficial bacteria with desired probiotic characteristics. Isolation of potential probiotic bacteria from naturally fermented C. albidum seeds was carried out and followed by their safety evaluation, Gram staining, catalase test, acid tolerance, bile tolerance, cellular hydrophobicity and auto-aggregation assays. 16S rRNA sequencing and the detection of bile salt hydrolase (bsh) gene were the molecular methods applied for the bacteria characterization. Three potential probiotic bacteria were isolated from the fermented seeds. All isolates were non-haemolytic, Gram positive cocci, and catalase negative, grew in 1% bile, acidic pH of 3.5, and showed good auto-aggregation property. 16Sr RNA sequencing revealed isolates to be strains of Enterococcus durans, and the bsh gene was detected in all the strains. In conclusion, novel naturally fermented foods as seen in the fermented C. albidum kernels can serve as sources for the isolation of probiotic bacteria with great interest, and thus serve as starter culture to improve the organoleptic property of dairy and non-dairy foods.
Rethinking local genius of the Merapi’s community in eruption disaster risk reduction. Does it still work?

Merapi Volcano in Central Java which has a high level of activity still holds hazard potential in the future. To reduce the disaster risks, a good disaster management is required. People who live in hazardous areas possess important social capital to enhance disaster management, in the form of local genius to cope with eruption. However, a question arises whether local genius still exists and is accepted by members of the younger generation. This paper presents a discussion about the existence of local genius on the younger generation in the southwest region of Merapi Volcano. The data were collected using some techniques which include interviews, focus group discussions, and literature study. The data were analyzed descriptively supported with scoring and statistical analysis. The results of the study show that local genius is not widely recognized and understood by the younger generation. There are no differences on the understanding of local genius among young members of the society who differ in age. The lack of teaching about local genius between generations causes a low understanding of young generation on local genius. Despite having a high motivation for preserving local genius, the younger generation perceive the local genius as a socio-cultural assets rather than as a source which enhances a disaster management. Overall, this paper presents new insights to understand the existence of local genius among the younger generation.
Computation of time-delay for Delayed Network Controlled Temperature Control System

This paper presents an Investigation on the stability of network controlled temperature control system having Time-Invariant feedback delays, by utilizing a direct method for TDS stability analysis. A PI controller based stability analysis for temperature control system with Time invariant feedback loop delay has been constructed in this paper. The stability problem has been formulated based on the transfer function model of the closed loop system with various time delays. For different subsets of the controller parameters, based on the stability criterion’s maximal permissible bound of the network link delay that the closed loop system can accommodate without losing the stability has been computed. The effectiveness of the obtained result was validated on a benchmark temperature control system using MATLAB simulation software.
Fabrication and characterization of aluminum, gold-tin and titanium-tungsten alloys for mid-infrared plasmonic applications

We numerically and experimentally investigate aluminum metal (Al), gold-tin (AuSn) and titanium-tungsten (TiW) metallic alloys as plasmonic materials in the mid-infrared (MIR) region using spectroscopic ellipsometry and reflection measurements of gratings. The angle dependence of the specular reflectance of shallow gratings is investigated using a free-beam measurement setup and compared to simulations. It is shown that the deep and narrow resonances observed for all three materials match the associated prediction from simulations.
Comparative Analysis of Prediction Accuracy from Daylighting Simulation Tools

ABSTRACT In this article, a validation analysis of predictions from selected daylighting simulation capabilities is presented. The daylighting simulation tools considered in the study include EnergyPlus Detailed, EnergyPlus DELight, DAYSIM, and SPOT (Sensor Placement and Orientation Tool). The National Research Council of Canada provided detailed site and sensor data for an experiment recording daylight exposure throughout a side-lit private office space using various daylighting strategies. The site information provided included geometry of the space and daylighting test cases through detailed SketchUp models. Reflectivity and transmittance properties of experiment surfaces and windows were well documented to enable accurate replication in daylighting models. On-site weather data were also collected to allow the test environment to be repeated. Illuminance measurements at 5-min intervals at 12 sensor locations within the space allowed computer simulations to be thoroughly tested. The three daylighting test cases chosen for the validation study, no daylighting device, interior light shelf, and exterior horizontal blinds, were selected to test each software’s ability to model direct sunlight, interior obstructions, and exterior reflections. Through graphical observation and statistical measures DAYSIM was determined to be the most accurate overall. However, it is important for users to consider the intended application of the daylighting software selected. Depending on the daylighting conditions, facade construction, and sensor location, other software performed equally well. Each of the studied software also has other features such as photosensor modeling, integration with thermal simulations, and occupancy predictive models that must be weighted when selecting the appropriate daylighting software for your application.
Identification of Spatial Clusters of COVID-19 in Yogyakarta using Moran’s Index

Various studies on the spreading pattern of COVID-19 were carried out because, every day, there are always new progresses from scientists about this virus, including its unique characteristics in each region with different geographical conditions. The objective of this research is to find the spatial distribution pattern of COVID-19 and to identify the climate parameters influencing it in the Yogyakarta. This study used Moran's Index in analyzing COVID-19 distribution pattern. The results of the analysis show that out of 5 regencies/cities in Yogyakarta, Sleman Regency has the highest average spread of COVID-19 or an average infection rate of 1.09, followed by Bantul with 0.75. Kulonprogo is the regency with the lowest number of cases. The result of Moran's index of 0.32 means that there are correlation between cases.The correlation between temperature and infection rate is R2 = 0.05, while the correlation between humidity and infection rate is R2 = 0.003. The spread of COVID-19 in Yogyakarta is more influenced by mobility or interactions between infected and uninfected individuals.
Experimental Results of the First Two Stages of an Advanced Transonic Core Compressor Under Isolated and Multi-Stage Conditions

NASA’s Environmentally Responsible Aviation (ERA) Program calls for investigation of the technology barriers associated with improved fuel efficiency for large gas turbine engines. Under ERA, the highly loaded core compressor technology program attempts to realize the fuel burn reduction goal by increasing overall pressure ratio of the compressor to increase thermal efficiency of the engine. Study engines with overall pressure ratio of 60 to 70 are now being investigated. This means that the high pressure compressor would have to almost double in pressure ratio while keeping a high level of efficiency.NASA and GE teamed to address this challenge by testing the first two stages of an advanced GE compressor designed to meet the requirements of a very high pressure ratio core compressor. Previous test experience of a compressor which included these front two stages indicated a performance deficit relative to design intent. Therefore, the current rig was designed to run in 1-stage and 2-stage configurations in two separate tests to assess whether the bow shock of the second rotor interacting with the upstream stage contributed to the unpredicted performance deficit, or if the culprit was due to interaction of rotor 1 and stator 1. Thus, the goal was to fully understand the stage 1 performance under isolated and multi-stage conditions, and additionally to provide a detailed aerodynamic data set for CFD validation. Full use was made of steady and unsteady measurement methods to understand fluid dynamics loss source mechanisms due to rotor shock interaction and endwall losses.This paper will present the description of the compressor test article and its measured performance and operability, for both the single stage and two stage configurations. We focus the paper on measurements at 97% corrected speed with design intent vane setting angles.Copyright © 2015 by ASME
Some railroad settlement models—A critical review

Abstract Mathematical models to simulate railroad track settlements are reviewed and commented upon. There do not seem to be any generally accepted damage and settlement equations describing the long-term behaviour of the track. This also seems to be the case for the ballast material. Most descriptions of the settlement found in the literature are empirical; only different suggestions to describe the track settlement from a phenomenological point of view are available. The track settlement is mostly considered to be a function of number of loading cycles and/or a function of the magnitude of the loading. The settlement should also be a function of the properties of the ballast and subground materials, but very little has been found on this in the literature. By use of the finite element program LS-DYNA, a computer model (very simple) has been created to simulate the long-term behaviour of the track. The model consists of a rail, rigid sleepers, non-linear ballast springs (stiffnesses) and ballast damping. In a solid element beneath each ballast spring, track settlement can be accumulated. Settlement will occur if the stresses in that element exceed a yield limit of the element material. Also ‘hanging sleepers’ may be modelled and obtained as a result of the track settlement.
Estimation of biomass potential, carbon stocks, and carbon sequestration of Trigona sp honey bees feed

This study aimed to determine the biomass potential of Trigona sp honey bees in Bontotiro subdistrict as well as its carbon stock and carbon sequestration. The research was carried out for two months starting from May to June 2021, located in the sub district of Bontotiro, district of Bulukumba. The biomass measurement was carried out by making 11 plots with a size of 20 x 20 for the tree level, 10 m x 10 m for the poles level, and 5 m x 5 m for the sapling level. Tree biomass was calcula ted using allometric equations. Measurement of carbon stocks was carried out by multiplying the total biomass with the percentage value of carbon content of 0.47, while the carbon sequestration was calculated by multiplying the average annual growth of biomass with the conversion rate of 1.4667 obtained from the photosynthesis equation. The results showed that the potential of biomass of tree, poles, and sapling levels were 4.5, 1.4, and 0.3 tons/year, respectively. The carbon stocks of the tree, poles, and sapling levels were 68.6, 13.7, and 1.8 tons/year, respectively. The carbon sequestration of the tree, poles, and sapling were 6.6, 2.1, and 0.56 tons/year, respectively.
Employer Review Platforms – Do the Rating Environment and Platform Design affect the Informativeness of Reviews? Theory, Evidence, and SuggestionsDate submitted: December 29, 2019Date accepted after double-blind review: December 2, 2020

Online employer review platforms (ERPs) enable employees to evaluate their current and former companies anonymously online. Job-seekers can use the aggregated reviews to obtain information about potentially attractive companies and thus limit the number of suitable companies. However, the matching process between job-seekers and companies can only be effective if the information provided on ERPs is representative and can be trusted. This paper investigates specific characteristics of ERPs using the two large ERPs Kununu and Glassdoor as examples. It is argued that the ERP environment is very different from the well-known and -studied reputation system environment of online marketplaces, and that specific factors can potentially bias reviews on ERPs. Based on a new data set containing the Kununu and Glassdoor reviews of 114 major German employers, it is analyzed if and how design aspects of ERPs and other specific factors affect reviews. Results show that overall (and industry-specific), average review scores on Kununu and Glassdoor differ significantly from each other. Further results indicate that factors such as employees’ awareness of their impact on a company’s reputation also affect reviews. Suggestions are made on how ERPs could reduce the influence of these factors in order to present the aggregated information more effectively.
Resilient Maintenance Infrastructure: Dynamic Repair Network Designs to Effectively Manage Supply Chain Disruptions

Supply chains are facing numerous changes contributing to their increase in complexity and vulnerability to disruptions. Subsequently, decision-makers lack a transparent, generalizable tool to quantify supply chain resilience and assess additional resilience investments. This research facilitates a more profound understanding of the intricacies and interrelation of supply chain nodes and constructs. It integrates the Area under the Curve (AUC) metric to quantify performance or any organizational measure of competitive advantage amid a disruption. Due to its structural resemblance to various organizational platforms, the subset United States Air Force (USAF) F-16 engine repair and supply network is modeled employing discrete-event simulation. The purpose of this study is to evaluate investments in inventory and capacity resilience levers to understand how mitigation strategies affect supply chain entity performance. Results indicate that simultaneous investments in these levers yield the most significant effects on resilience. The presented analysis asserts recovery capacity and response time as the most significant recovery influencers following a disruption. Additionally, two design scenarios are further examined to understand how flexibility influences resilience.
Analytical, Symbolic and First-Order Reasoning within Neural Architectures

While prior work shows that pre-trained language models (PLMs) primarily emulate knowledge of entailment relations using surface heuristics, this paper examines whether PLMs learn aspects of symbolic and ﬁrst-order logic relations as a side effect of learning word prediction. We introduce Logic and Knowledge Natural Language Inference (LAKNLI), a new NLI task, and we probe two different PLMs: one ﬁne-tuned on NLI tasks and the other without NLI ﬁne-tuning. Results show that PLMs are sometimes able to use logical knowledge for word prediction, yet they still rely heavily on heuristics. We also examine the conditions under which PLMs succeed and fail at utilizing logical relations.
PROBABILISTIC ASSESSMENT OF WIND FARM ENERGY YIELD

Evaluation of energy yield from a wind fa rm (WF) is imperative for profit analysis and such ana lysis is usually a part of pre-feasibility study for any WF. Energy yield from a WF varies due to several factors inclu ding site location and WF layout. It is therefore essential t o estimate energy yield accurately taking into account as many realis- tic effects as possible. Normally, such calculation is per- formed simply using Weibull distribution with power curve and then subtracting wake effect as well as electri cal losses inside a collector system as a fixed percentage whi ch may lead to a very rough approximation of the final ene rgy yield. This paper highlights factors to consider det ermining realistic estimate of WF energy yield and how each factor influences this number. Methodologies are provided to calculate losses due to wake effect, internal WF co llector system, unavailability of wind turbine (WT) and WF com- ponents. Impact of these factors and wind resource varia- tion at site on energy yield of a WF is determined. It can help WF owner to choose WF components as well as to calculate a more practical range of energy yield po ssible rather than a deterministic value.