Miracle-dz/UniFAR-FTUs huggingface dataset:
Soil Test Crop Response Based Phosphorus Calibration Study for Bread Wheat in Shashemene District of West Arsi Zone, Oromia, Ethiopia

Soil test based crop response phosphorous calibration study was conducted Shashemene district on bread Wheat crop during the main cropping season of 2018 -2020 with the objectives to determine Pc and Pf for bread wheat crop, and to establish site-specific soil test based phosphorus fertilizer recommendation. RCBD design was used with 3 replication using 5 rates of N (0, 46,69 and 92 kg ha-1) and 5 rates of P (0, 10, 20, 30 and 40 Kg ha-1) in a factorial combination to determine optimum level of N- rate for bread wheat crop production. In the second and third year 5 levels of P (0, 10, 20, 30, and 40 Kg ha-1) and 46 kg N ha1 of optimum nitrogen rate obtained were applied uniformly for all plots to determine P-critical value (Pc) and P-requirement factor (Pf) for bread Wheat. A total of experimental plot size 3m*3m (9 m 2 ) and Seeds rate of 150 kg ha -1. Composite Surface soil samples from 0-20 cm depth were collected from each experimental plot before planting. Similarly, after 21 days of planting, composite soil samples were taken at (0-20 cm depth) using auger from each plot for analysis of available p using Olsen method. The result of the study showed that low to extremely high available P ranged from 7.7-56ppm. The mean maximum grain yield (5358kg/ha) was obtained from the application of 46 kg N /ha and 92 kg P2O5 /ha whereas the lowest (1873kg /ha) was obtained from control treatment. On the other hand, the combination of 69kg N/ha and 92kg P2o5/ha could result the highest net benefit of 114425.00 birr per hectare. However, 46 N kg ha-1 N fertilizers was determined as economically feasible optimum N rates at 2655%, MRR on Eutric andosol in Shashemene district for Bread wheat. From phosphorous calibration study, P-critical value (21 ppm) and P-requirement factor (4.43) was determined for phosphorus fertilizer recommendation for bread wheat crop production in the area. Therefore, the obtained result has to be verified and the economic benefit must be studied acr oss farmers’ fields.
Customer Satisfaction on Electronic Wallet Usage: Indonesia Experiences

This study aims to empirically examine the determinants of consumers’ intention and satisfaction to use electronic wallet of Indonesian users. 119 respondents participated in the survey. 17 hypotheses were formulated and PLS-SEM was used to estimate and test the hypothesized model. The results show that factors like hedonic motivation, trust, and intention have a significant direct effect on the customers’ satisfaction in using electronic wallet, while perceived ease of use and perceived usefulness have significant indirect effect through trust. The customers’ intention to use electronic wallet only influences by hedonic motivation. Moreover, hedonic motivation has an important role in determining intention and satisfaction of Indonesian users to use electronic wallet. It implies that e-wallet is more used to fulfil hedonic consumption needs.
Limitations on Gas Turbine Performance Imposed by Large Turbine Cooling Flows

Calculations of the performance of modern gas turbines usually include allowance for cooling air flow rate; assumptions are made for the amount of the cooling air bled from the compressor, as a fraction of the mainstream flow, but this fractional figure is often set in relatively arbitrary fashion. There are two essential effects of turbine blade cooling: (i) the reduction of the gas stagnation temperature at exit from the combustion chamber (entry to the first nozzle row) to a lower stagnation temperature at entry to the first rotor and (ii) a pressure loss resulting from mixing the cooling air with the mainstream, Similar effects occur in the following cooled blade rows. The paper reviews established methods for determining the amount of cooling air required and semi-empirical relations, for film cooled blading with thermal barrier coatings, are derived. Similarly, the pressure losses related to elements of cooling air leaving at various points round the blade surface are integrated over the whole blade. This gives another semi-empirical expression, this time for the complete mixing pressure loss in the blade row, as a function of the total cooling air used. These two relationships are then used in comprehensive calculations of the performance of a simple open-cycle gas turbine, for varying combustion temperature and pressure ratio. These calculations suggest that for maximum plant efficiency there may be a limiting combustion temperature (below that which would be set by stoichiometric combustion). For a given combustion temperature, the optimum pressure ratio is reduced by the effect of cooling air.
Influence of Aluminum Hydroxide and Expandable Graphite on the Flammability of Polyisocyanurate-Polyurethane Foams

The aim of this work was to verify the influence of expandable graphite (EG) and aluminum hydroxide (ATH) fillers on the flammability of polyisocyanurate-polyurethane (PIR). Limited oxygen index increased to 72.5 with an incorporation of 16 phr (parts per hundred of matrix) EG and 50 phr ATH into the matrix (total weight percent was 39.76%). Cone calorimetry was employed to study the flammability properties of these PIR/ATH/EG composites. Scanning electron microscopy analysis was conducted to study the char characteristics of the composites after the cone calorimetry tests. It was found ATH could effectively induce villi like particles, which made the intumescent char denser, on the surface of EG. The compact char layer could effectively impede the transport of bubbles and heat. ATH and EG accelerated the initial degradation and fluffy char was quickly generated on the surface. Thus, degradation products of the composite were slowed down and the diffusion of volatile combustible fragments to flame zone was delayed.
Tailored Nozzles for Jet Plume Control and Noise Reduction

A synergistic utilization of computational simulations with experimental measurements is employed to develop dual-stream nozzle geometries that provide jet noise reduction with the concurrent ability to control the orientation of the jet plumes, so as to minimize the thrust degradation associated with low-noise designs. The geometries consist of round primary and secondary nozzles, beveled primary nozzles, modified secondary nozzles, and combinations thereof. Specifically, the secondary nozzle is altered internally to provide the same deflection as a beveled primary in dual-stream exhaust geometry. The cross-sectional profiles are similar, but the bevel deflects the jet towards the short lip, whereas the modified secondary deflects the jet in the opposite direction. It is possible to eliminate/minimize the deflection of the total thrust vector through a judicious combination of the bevel and the modified secondary; numerical simulations facilitate this objective. The aeroacoustic characteristics of four beveled nozzles with bevel angles of 18o, 24o, 30o and 36o, and two modified secondary nozzles with weak and strong flow effects, have been established in a wind-tunnel test, with simultaneous measurement of thrust and noise. The magnitude of the noise reduction increases with increasing primary jet velocity and decreases with increasing flight Mach number. There is a gradual erosion of noise benefit as the azimuthal angle is increased from 0o (below the long lip of bevel). There is a benefit in EPNL for all the nozzle geometries evaluated in this investigation. The combinations of modified secondary nozzles with bevel24 and bevel30 provide the largest reduction in EPNL over a wide range of freestream Mach number, with a small thrust penalty. The noise benefit varies from ~2.5 EPNdB at Mt=0.0, to ~2.0 EPNdB at Mt=0.20, and ~1.2 EPNdB at Mt=0.28. The design approach developed and evaluated here seems promising vis-a-vis practical applications, requiring only relatively limited modifications to an existing design.
Gelled MMH hypergolic droplet investigation

Gelled propellants are promising candidates for certain future rocket applications, offering potential improvements in performance and/or safety over conventional liquid and solid systems. In particular, gelled hypergolic propellants can eliminate some handling difficulties by reducing leakage hazard. Before such systems can be developed, however, a fundamental understanding of spray behavior and combustion in a rocket combustion chamber is required. To this end, an experimental study of vaporization and combustion processes of single droplets is underway. This paper discusses the combustion behavior of monomethyl hydrazine (MMH) droplets gelled with both hydroxypropyl cellulose (HPC) and fumed silica in an environment of gaseous nitrogen dioxide. Within the present study, an experimental system was built to investigate the combustion of hypergolic propellant droplets. This system allows studies with a NTO oxidizer and MMH fuels in a range of pressures and temperatures while maintaining strict safety measures. All MMH/HPC gels showed the typical swelling and jetting that are typical to hydrocarbon gels with an organic gelling agent. Burning rates were measured for droplet diameters from 1.8 to 3.2 mm and two ambient pressures of 1.72 and 2.89 bar. It was found that the droplet burning rate is dependent on the droplet diameter similar to liquid MMH. Over the investigated pressure range, no dependence of burning rate on pressure was found. The MMH/Silica gels showed a different combustion mechanism with the formation of a rigid silica structure, micro-explosions, and up to a 50% reduction in droplet volume during the combustion. At the end of the combustion process MMH/Silica gels broke down probably because of a lack of liquid bonding material. Combustion mechanisms were speculated for both gels.
Exploring structure: A blockmodel approach

The problem of network-based disaggregation as an aid to structuring design problems was first proposed by Christopher Alexander. In this paper a new algorithm is described based on the principle of the blockmodel commonly found in the social sciences. The method is simpler than that of Alexander (and that of Elms). The consequences of this simplicity are explored by comparative evaluation using two problems and all three methods. The inherent complexity of the problem is examined in terms of the small world hypothesis, indicating that relatively little interaction between problem components may greatly increase the complexity of the network and thereby increase the arbitrary basis of the structure expressed.
Customer Satisfaction Among Transit Riders: How Customers Rank the Relative Importance of Various Service Attributes

One of the reasons transit organizations collect customer-satisfaction information is to help set priorities for service improvements. Customer-satisfaction survey results can help managers choose from among a long list of service attributes (e.g., vehicle cleanliness or on-time performance) to more optimally focus their organization’s attention and resources. To make these choices, managers need to know how important each service characteristic is to their customers. Common techniques for gauging the relative importance of various service characteristics to transit customers are examined. Empirical data from the Bay Area Rapid Transit District are used to compare and contrast several of these techniques. The analysis suggests that a relatively simple approach using a ranking of bivariate correlation coefficients from high to low may be the most advantageous technique for ranking the relative importance of transit attributes from a customer perspective.
High-order voltage transfer function synthesis using CCII+ based unity gain current amplifiers

Using the signal-flow graph approach, a general synthesis method for the realisation of high-order voltage transfer functions is presented and a current conveyor filter is obtained. The resulting filter contains a minimum number of capacitors, at most 2n+3 resistors, as well as n+2 current conveyors of plus type, all of which operate in current-mode.
Pengaruh Good Corporate Governance dan Corporate Sosial Responsibility terhadap Nilai Perusahaan dengan Kinerja Keuangan sebagai Variabel Mediasi pada Perusahaan Misscellaneous Industry di BEI Periode 2016-2019

This study aims to determine the effect of good corporate governance (GCG) and corporate social responsibility (CSR) on companies' value with financial performance listed on the IDX for the 2016-2019 period. This research's object is 19 selected companies in various industrial sectors, with a sample of 76 annual reports that meet the criteria. The data used is the 2016-2019 annual report. The method used is the classical assumption method, multiple linear regression, path analysis method using SPSS version 25. The direct effect study results, GCG, an agency composed of management ownership, institutional ownership, and the board of directors, will not significantly impact the value of the company. GCG, which is proxied by the audit committee and CSR, affects firm value and financial performance (ROA), affecting firm value. The indirect effect research shows that ROA has not been able to mediate the effect of GCG, which is proxied by managerial ownership, institutional ownership, and commissioners' board.ROA is only able to mediate the effect of CSR on firm value.
Informer: irregular traffic detection for containerized microservices RPC in the real world

Containerized microservices have been widely deployed in industry. Meanwhile, security issues also arise. Many security enhancement mechanisms for containerized microservices require predefined rules and policies. However, it is challenging when it comes to thousands of microservices and a massive amount of real-time unstructured data. Hence, automatic policy generation becomes indispensable. In this paper, we focus on the automatic solution for the security problem: irregular traffic detection for RPCs. We propose Informer, which is a two-phase machine learning framework to track the traffic of each RPC and report anomalous points automatically. Firstly, we identify RPC chain patterns by density-based clustering techniques and build a graph for each critical pattern. Next, we solve the irregular RPC traffic detection problem as a prediction problem for time-series of attributed graphs by leveraging spatial-temporal graph convolution networks. Since the framework builds multiple models and makes individual predictions for each RPC chain pattern, it can be efficiently updated upon legitimate changes in any of the graphs. In evaluations, we applied Informer to a dataset containing more than 7 billion lines of raw RPC logs sampled from an large Kubernetes system for two weeks. We provide two case studies of detected real-world threats. As a result, our framework found fine-grained RPC chain patterns and accurately captured the anomalies in a dynamic and complicated microservice production scenario, which demonstrates the effectiveness of Informer.
ATTITUDE CONTROLLER DESIGN FOR A SYSTEM USING ACTUATORS WITH SWITCHING- TIME RESTRICTIONS AND DELAYS

In certain aerospace control applications attitude control systems may have switching actuators. Non-conventional analysis / design problems arise when such actuators are subject to switching-time restrictions. A describing function approach is presented and illustrated. This approach allows for quantitative analysis and controller design in the frequency domain to secure required limit cycle characteristics (i.e. frequency and amplitude). To ensure the validity of this approach, a certain "limit-cycle existence condition" must be satisfied.
Impact of Rumble Strips on Collision Reduction on Highways in British Columbia, Canada: Comprehensive Before-and-After Safety Study

A comprehensive before-and-after study evaluated the safety impacts associated with application of shoulder and centerline rumble strips on highways in British Columbia, Canada. Data were collected for three groups of sites: treatment group, comparison group, and reference group. The treatment group included 47 sites belonging to two highway classes: an undivided, rural two-lane arterial (RAU2) and a divided, rural four-lane freeway. A total of 225 sites were used to establish a comparison group for the treatment sites based on implementation year for the treatment site and the highway class. The comparison group was used to correct for the confounding factors of history and maturation. Six reference groups were used; they correspond to the two highway classes and three time periods (2000 to 2002, 2001 to 2003, and 2002 to 2004). Collision prediction models developed from the reference groups were used to correct for the regression to the mean and to account for the changes in traffic volumes in the before-and-after periods. Overall, the results showed that shoulder and centerline rumble strips can significantly reduce severe collisions and specific collision types: (a) the installation of rumble strips reduced all injury collisions by a statistically significant 18.0%; (b) shoulder rumble strips reduced off-road right collisions by a statistically significant 22.5%; and (c) centerline rumble strips (RAU2 sites) showed a statistically significant reduction of 29.3% in off-road left and head-on collisions. RAU2 sites with both centerline and shoulder rumble strips showed a statistically significant reduction of 21.4% in off-road right, off-road left, and head-on collisions combined.
Implications of the inline seating layout on the protection of occupants of railway coach interiors

The aim of this work is to present a systematic approach to the improvement in the passive safety in railway interiors. During the primary collision, the vehicle is subjected to an abrupt deceleration, causing the unrestrained occupants to continue their original motion. The occupants are then projected through the vehicle until the secondary collision occurs, i.e., until they come in contact with some part of the interior of the vehicle or with other occupants. Due to its importance, in terms of railway vehicle interiors, the inline seating is investigated with the objective of identifying the potential sources of injury for railway occupants and suggesting directions for the improvement in interior arrangements. The numerical model of this layout is developed using a multibody description for the dummies and a finite element approach for the seats and structural features of the vehicle interior. The crash scenario is studied using the MADYMO code, for which models of the dummies are already validated and which has all features necessary to handle finite element and multibody models in a common simulation environment. The crash pulse used for the virtual testing corresponds to that accepted by the industry and operators as being representative of the most relevant accidents. Of particular importance is the identification of the relevant injuries for this type of scenario and their variability with occupant size and seating position. It is shown here that depending on the type of fixing of the seat to the railway coach, the position of the occupant can play a role in his/her exposure to injury. Furthermore, it is shown that the injuries in the neck region occur in those occupants who exhibit higher risks. Femoral injuries, not being as severe as neck injuries, also have a high potential to develop for the scenarios considered.
Microwave noise performance of AlGaN/GaN HEMTs

The authors have characterised the microwave noise performance of AlGaN/GaN HEMTs epitaxially grown on insulating SiC substrates. The minimum noise figure for 0.25 /spl mu/m gate-length devices was measured to be 0.77 dB at 5 GHz and 1.06 dB at 10 GHz. The measured minimum noise figures are comparable to those exhibited by GaAs-based FETs, which demonstrates the viability of AlGaN/GaN HEMTs for low-noise applications.
Forecasting Foreign Currency Exchange Price using Long Short-Term Memory with K-Nearest Neighbor Method

With the growing population in the world, economic stability varies day by day. In case of India all banking transaction rules and regulations are taken by Reserve bank of India (RBI) whereas for other countries it is different. Therefore numerous academicians have projected their research on forecasting the currency exchange rate for diverse countryside. Foreign currency exchange rate prediction is a very pivotal task for international market. Hence researchers have explored different methods for predicting foreign currency exchange rate. In this work, we have taken Indian rupees (INR) with two different country’s data set such as Japanese yen (JPY) andChinese Yuan (CNY)for daily, weekly and monthlyprediction beforehand. We implemented a hybrid model oflong short-term memory (LSTM) with K-nearest neighbour (KNN) which gives better opening price prediction accuracy on our dataset. The accuracy of the prediction results are measured by the help of performance standards such as mean absolute percentage error (MAPE) and root mean square error (RMSE).
Advanced Annealing Schemes for High-Performance SOI Logic Technologies

We have extensively studied the impact of advanced annealing schemes for highperformance SOI logic technologies. Starting with the 130 nm technology node, we introduced spike rapid thermal annealing (sRTA). Continuous temperature reduction combined with implant scaling helped to improve transistor performance and short channel behavior. During the development of the 90 nm technology we evaluated flash lamp and laser annealing (FLA). These techniques became an essential part of the 65 nm node. At this node we also faced major challenges in terms of compatibility with new materials like SiGe as well as the need for reduction of process parameter fluctuations. Scaling will be continued with the 45 nm technology node towards a truly diffusionless process.
A three-dimensional model of an articulated frame-steer vehicle for coupled ride and handling dynamic analyses

The ride and directional stability properties of an articulated frame steer vehicle (ASV) are investigated through formulation of a comprehensive three-dimensional vehicle model. The model integrates a kineto-dynamic formulation of the frame steering system, a torsio-elastic rear axle suspension, and random roughness of two parallel terrain tracks. The validity of the model is illustrated on the basis of the field-measured ride vibration data and steering strut responses to a 90-degree-turn manoeuvre. The model is applied to determine the ride and yaw/roll dynamic responses of an articulated dump truck with and without a rear-axle suspension under steady and transient steering inputs. The ride responses are evaluated in terms of weighted and un-weighted rms accelerations at the operator location, while the directional responses are obtained in terms of static and dynamic rollover thresholds, rearward amplification ratio, and critical speed corresponding to snaking instability. The results suggest that the rear-axle torsio-elastic suspension yields slightly lower yaw and roll stability limit of the vehicle but substantial reductions in the ride vibration levels. Tyre interactions with the rough terrains affect the stability limits in a highly adverse manner. The results suggest that suspension design with greater lateral and torsional stiffness could yield enhanced directional stability limits while preserving the ride performance.