Miracle-dz/UniFAR-FTUs huggingface dataset:
LED Luminaires: Many Chips—Many Photometric and Lighting Simulation Issues to Solve

Currently, built LED luminaires are usually multi-source. This causes a large number of photometric and simulation problems connected with computer lighting visualization. This paper highlights three key issues with these luminaires: a change in the traditional understanding of the coordinate system for these luminaires, the photometric test distance of these luminaires and the need for the photometric separation of a single LED in the computer lighting simulation process. An optical model of a linear LED luminaire used in floodlighting was formulated on this basis. The presented conclusions refer to practical applications. Thus, it is necessary to address the crucial points that specify the coordinate system for the multi-source LED luminaire by its designer and present the information in a datasheet. The other important points concern determining the appropriate photometric test distance for the multi-source LED luminaires of a given type and creating photometric files for the different distances in the operation of the luminaire. Taking the above ideas into account will lead to an improvement in the quality and accuracy of lighting measurements and simulations.
A New Density-Based Clustering Method Considering Spatial Distribution of Lidar Point Cloud for Object Detection of Autonomous Driving

Lidar is a key sensor of autonomous driving systems, but the spatial distribution of its point cloud is uneven because of its scanning mechanism, which greatly degrades the clustering performance of the traditional density-based spatial clustering of application with noise (DSC). Considering the outline feature of detected objects for intelligent vehicles, a DSC-based adaptive clustering method (DAC) is proposed with the adoption of an elliptic neighborhood, which is designed according to the distribution properties of the point cloud. The parameters of the ellipse are adaptively adjusted with the location of the sample point to deal with the uniformity of points in different ranges. Furthermore, the dependence among different parameters of DAC is analyzed, and the parameters are numerically optimized with the KITTI dataset by considering comprehensive performance. To verify the effectiveness, a comparative experiment was conducted with a vehicle equipped with three IBEO LUX8 lidars on campus, and the results show that compared with DSC using a circular neighborhood, DAC has a better clustering performance and can notably reduce the rate of over-segmentation and under-segmentation.
Comparison of the Radial Growth Response of Picea crassifolia to Climate Change in Different Regions of the Central and Eastern Qilian Mountains

It is important to explore the responses of radial tree growth in different regions to understand growth patterns and to enhance forest management and protection with climate change. We constructed tree ring width chronologies of Picea crassifolia from different regions of the Qilian Mountains of northwest China. We used Pearson correlation and moving correlation to analyze the main climate factors limiting radial growth of trees and the temporal stability of the growth–climate relationship, while spatial correlation is the result of further testing the first two terms in space. The conclusions were as follows: (1) Radial growth had different trends, showing an increasing followed by a decreasing trend in the central region, a continuously increasing trend in the eastern region, and a gradually decreasing trend in the isolated mountain. (2) Radial tree growth in the central region and isolated mountains was constrained by drought stress, and tree growth in the central region was significantly negatively correlated with growing season temperature. Isolated mountains showed a significant negative correlation with mean minimum of growing season and a significant positive correlation with total precipitation. (3) Temporal dynamic responses of radial growth in the central region to the temperatures and SPEI (the standardized precipitation evapotranspiration index) in the growing season were unstable, the isolated mountains to total precipitation was unstable, and that to SPEI was stable. The results of this study suggest that scientific management and maintenance plans of the forest ecosystem should be developed according to the response and growth patterns of the Qinghai spruce to climate change in different regions of the Qilian Mountains.
Multi-Step Sequence Flood Forecasting Based on MSBP Model

Establishing a model predicting river flow can effectively reduce huge losses caused by floods. This paper proposes a multi-step time series forecasting model based on multiple input and multiple output strategies, and this model is applied to the flood forecasting process of a river basin in Shanxi, which effectively improves the engineering application value of the flood forecasting model based on deep learning. The experimental results show that after considering the seasonal characteristics of the river channel and screening the influencing factors, a simple neural network model can accurately predict the peak value, the peak time and flood trends. On this basis, we proposed the MSBP (Multi-step Back Propagation) model, which can accurately predict the flow trend of the river basin 20 h in advance, and the NSE (Nash Efficiency) is 0.89. The MSBP model can improve the reliability of flood forecasting and increase the internal interpretability of the model, which is of great significance for effectively improving the effect of flood forecasting.
Simulating Nutrients and Phytoplankton Dynamics in Lakes: Model Development and Applications

Due to eutrophication, many lakes require periodic management and restoration, which becomes unpredictable due to internal nutrient loading. To provide better lake management and restoration strategies, a deterministic, one-dimensional water quality model MINLAKE2020 was modified from daily MINLAKE2012 by incorporating chlorophyll-a, nutrients, and biochemical oxygen demand models into the regional year-around temperature and dissolved oxygen (DO) model. MINLAKE2020 was applied to six lakes (varying depth and trophic status) in Minnesota focusing on studying the internal nutrient dynamics. The average root-mean-square errors (RMSEs) of simulated water temperature and DO in six lakes are 1.51 °C and 2.33 mg/L, respectively, when compared with profile data over 2–4 years. The average RMSE of DO simulation decreased by 24.2% when compared to the MINLAKE2012 model. The internal nutrient dynamics was studied by analyzing time series of phosphorus, chlorophyll-a, and DO over several years and by performing a sensitivity analysis of model parameters. A long-term simulation (20 years) of Lake Elmo shows that the simulated phosphorus release from sediment under the anoxic condition results in surface phosphorus increase, which matches with the observed trends. An average internal phosphorus loading increase of 92.3 kg/year increased the average daily phosphorus concentration by 0.0087 mg/L.
Salmon futures and the Fish Pool market in the context of the CAPM and a three-factor model

Abstract Futures on fresh farmed salmon traded at the Fish Pool market in Norway are analyzed in the context of the Capital Asset Pricing Model (CAPM) and a corresponding three-factor model where contracts are separated based on their maturities. Looking into 1 month; 6 months and 12 months contracts, we find that all alphas and most betas are statistically insignificant. We conclude that the CAPM equilibrium condition holds and that Salmon futures prices move largely uncorrelated with the market portfolio and therefore offer no systematic risk premium. The latter documents that Fish Pool futures should be considered as a pure hedging instrument rather than an investment asset.
Biostimulant Effects of Cerium on Seed Germination and Initial Growth of Tomato Seedlings

The rare earth element (REE) cerium (Ce) can act as a biostimulant in diverse crop plants. The effects of 0, 5, 10, and 15 µM Ce (supplied as CeCl3 7H2O) on seed germination and the initial growth of tomato (Solanum lycopersicum L.) cv. Vengador were evaluated. After a 12 h imbibition, the weight of the seeds treated with 15 µM Ce was 37.5% greater than that observed in the control. The germination index of the seeds treated with 5 µM Ce was greater than 100% (101.93%), though when applying 10 µM Ce this index was 17.53% lower than the control seeds. Nevertheless, Ce treatments did not significantly affect the coefficient of velocity of germination, relative seed germination, germination index, radicle length, dry biomass, or relative growth. Interestingly, shoot length increased significantly in the treatments with 5, 10, and 15 µM Ce. This tendency was also observed in the dry biomass weight and relative growth of the shoots. Hence, Ce has a stimulating effect on germination and initial growth in tomato cv. Vengador shoots. In particular, there was a priming effect of Ce on seeds, reflected in a higher weight gain in Ce-treated seeds, which indicated greater water absorption. Therefore, Ce can be an alternative to accelerate the production time of tomato seedlings in seedbeds.
Evaluation of Adhesion Properties of Hard Coatings by Means of Indentation and Acoustic Emission

In general, the mechanical properties of hard thin coatings are investigated using indentation methods. Material characteristics of hard coatings, such as elastic modulus and hardness, are evaluated by means of nanoindentation and an appropriate evaluation methodology. The most popular method used to obtain the coating properties required using nanoindentation is the evaluation based on the Oliver and Pharr methodology. Adhesion and wear properties can be calculated using these data. In this study, we used a novel method to evaluate the wear and adhesion of coatings. A special measuring device combined with static indentation and acoustic emission signal detection was developed to evaluate the adhesion of coatings. The device consists of a macrohardness instrumental indentation device equipped with an acoustic emission measuring gauge. It was used to investigate crack formation and adhesion of coatings deposited on different substrates using acoustic emissions data. The results using both the existing and novel methods were compared and evaluated.
SDN-OpenFlow Topology Discovery: An Overview of Performance Issues

Software-defined networking (SDN) is an innovative architecture that separates the control plane from the data plane to simplify and speed up the management of large networks. This means the control logic has been moved from the network hardware level to the centralized control management level. Therefore, the use of the OpenFlow Discovery Protocol (OFDP) is one of the most common protocols used to discover the network topology in a data plane and then transmit it to the control plane for management. However, OFDP has various shortcomings in its performance such as exchanging too many messages between both levels (control and data), which in turn increases the load on the SDN-Controller. Additionally, since the application layer depends entirely on the network topologies plotted in the control plane, it is very important to obtain accurate network topology information from data plane. Therefore, after providing background on topology discovery protocols to the reader, we will concentrate on performance issues. The present study identifies and discuss the primary concerns involved in the complex query process, infrastructure, influencing factors, and challenges for the topology discovery process. Furthermore, this paper will present several recent studies that have overcome and enhanced these issues. In addition, open discussion and future work concerning these issues are also discussed.
Planting, seeding, and sediment impact restoration success following dam removal

Large dam removals effectively restore geomorphic and hydrologic processes, but little is known about subsequent vegetation recovery and the role of active restoration. We studied whether planting and seeding affected vegetation recovery in a dewatered reservoir, and whether effects differed on landforms composed of fine or coarse‐textured sediments. The dewatered reservoir is behind the former Glines Canyon Dam, which was removed from the Elwha River in Washington State (U.S.A.) in 2011–2014. We measured bare ground in 2013–2017, and species richness, relative frequency of non‐native species, woody stem density, and species composition in 2016. Sediment texture affected all response variables. Several years after seeding, bare ground was reduced on coarse sediments and non‐native species frequency was reduced on both textures. Planting increased species richness. Seeding and planting altered species composition on both textures, with stronger effects on coarse sediments. High densities of riparian woody plants naturally established on fine sediments, reaching a mean of 34,000 stems/ha 5 years after dam removal began; density was only a fraction of this (5,000 stems/ha) on coarse sediments. Future dam removals should incorporate sediment texture into their revegetation plans. Seeding and planting can be valuable strategies for minimizing non‐native species frequency, increasing species richness, and establishing desirable target species after dam removal, particularly on landforms composed of coarse sediments.
Optimization of Reinforced Aluminium Scraps from the Automobile Bumpers with Nickel and Magnesium Oxide in Stir Casting

Here, the investigation is spotlighted on the aluminium alloy from the waste materials of the automobile bumpers which is a reinforced metal matrix composite created with 5 percentage of nickel and 5 percentage of magnesium oxide through the stir casting method. The stir casting process inputs parameters such as pressure of squeezing, time of squeezing, and speed of stirrer which were optimized based on the two mechanical properties’ outcome such as the tensile strength (TS) and Rockwell hardness. There are nine different experiments which were conducted based on the L9 array. The Taguchi method is used to identify the optimum input values for the greatest result of the processing condition by Minitab software. The responses-based parameters were ordered based on the rank identified through the investigational effects. Finally, the optimized input consideration values and the linear equations are recommended for both the considered outputs as conclusions.
Looking for the earliest evidence of Ursus arctos LINNAEUS, 1758 in the Iberian Peninsula: the Middle Pleistocene site of Postes cave

Brown bears (Ursus arctos) diverged from the cave bear lineage c. 1.2 million years ago and likely originated in Asia, where the oldest fossils belong to a Middle Pleistocene chronology. Brown bear fossils from the Middle Pleistocene are scarce in the Iberian Peninsula, especially when compared to the cave bear record and they are mainly located in the southern half of the peninsula. The oldest evidence in the Iberian Peninsula is from c. 250 ka, which is 300 ka younger than the oldest European records (~550 ka; L’Arago). Here we present the brown bear fossil assemblage from Postes cave (Fuentes de León, Extremadura, southern Iberian Peninsula). Postes cave has yielded some of the oldest evidence for brown bears in Iberia with a minimum date of 244 191±2261 a BP (number of identified specimens (NISP) = 4). Additionally, the uppermost part of the Pleistocene deposit has yielded one of the largest Middle Pleistocene brown bear collections in the Iberian Peninsula (NISP = 73) with a chronology roughly between 193 and 244 ka BP, comprising both cranial and postcranial remains and including a complete hemimandible. The Postes mandible fits well within the Middle Pleistocene brown bear range of variation, as it is significantly different in size and shape from the Holocene brown bears, based on geometric morphometric analyses. We show that these differences are due to allometry. This site provides more insight into the Middle Pleistocene morphological variation of brown bears in western Europe and underscores the need for additional Middle Pleistocene fossils in the northern half of Iberia to further test palaeobiogeographical hypotheses of this species’ entrance into the largest of the southern European peninsulas.
A Place-Based Approach to Sustainable Communities: A Case Study from Rapa Nui (Easter Island, Chile)

The failure to account for temporal and spatial contingencies leads to attempts to apply universals to the needs and constraints of communities that may or may not be appropriate. Here, we argue that taking a place-based approach offers a way of incorporating local context to solve issues of sustainability at the scale of communities. We demonstrate this approach with Rapa Nui (Easter Island, Chile), a famous Polynesian island often associated with arguments for non-sustainability. Through detailed analyses of the island’s historical context and interviews with present-day governance leaders, we draw three conclusions. First, culture, governance, economy, environment, and equity, often described as “pillars” of sustainability, are inseparable and therefore better described as dimensions of sustainability. These factors are part of the place in which sustainable communities exist and must be integrated into analyses. Second, our findings demonstrate that we must adopt standards for sustainable communities that can change through time. What would have been considered sustainable in prehistoric times is no longer considered sustainable today. Third, globalization can be viewed as a driving force behind these changing views of sustainability. Furthermore, globalization has had both positive (e.g. access to health, education, and economic resources) and negative (e.g. threat to a culture of sustainability) impacts on Rapa Nui.
Gender differences in the development of children's social and emotional competencies during the pre-school year

ABSTRACT While studies have used assessments on gender differences regarding social and emotional development, there remains a lack of research on the abilities as well as difficulties that are expressed by pre-school aged boys and girls. This study examines the influence of gender on the development of social and emotional competencies during pre-school. Pre-school Practitioners within five pre-school settings, completed a Strengths and Difficulties Questionnaire (SDQ); and an Emotional Regulation Questionnaire (ERQ) at two separate intervals. ERQ results indicate that boys initially express greater emotional difficulties and by the end of term three, the amount of difficulties decrease for both boys and girls. Between pre and post time scales, both boys and girls were able to increase their abilities and boys rated higher in emotional competency abilities (facilitated by adults). SDQ results indicate that girls had higher proficiencies in the pro-social scale. Furthermore, boys show more improvements than girls between intervals.
28 GHz dual‐layer substrate integrated waveguide slot array antenna combined with quad‐polarization

This article presents a compact slot array antenna combined with quad‐polarization for mm‐wave applications. A novel modified short‐circuit termination with inclined slot is proposed in this paper and a dual‐layer structure has been adopted to achieve miniaturization and also to design a circular polarization feeding network. Two linear polarization feeding networks are designed independently so that four polarization states can be realized. Four polarization states, namely vertical linear polarization, horizontal linear polarization, left hand circular polarization (LHCP), and right hand circular polarization (RHCP) can be switched by feeding corresponding ports. Judging from impedance matching and axial ratio (AR), the antenna exhibits wide bandwidth. The −10 dB impedance bandwidth and 3 dB AR bandwidth are better than 14.2% (26‐30 GHz) with gain about 5‐8 dBic for both LHCP and RHCP. The linear polarization states have |S11| < −10 dB and a gain of 5‐7 dBi over 26.5‐29.5 GHz (10.7%). The size of the slot array antenna is 65 × 65 × 1.156 mm and measured results are consistent with simulations.
The Impact of Organizational Culture Towards Organizational Citizenship Behavior Through Job Satisfaction and Competency Among Online Media Employees

The objective of this research is to identify whether the organizational culture becomes the correct foundation to increase organizational citizenship behavior with work satisfaction and competency. This research is expected to become a reference for the next research about the impact of organizational culture on organizational citizenship behavior based on work satisfaction and competency. On top of that, this research is expected to provide valuable information so it can become a base study or consideration for a company, especially in the media industry to effectively manage its human resources. Media industry have a unique character because they give freedom to their employee to make them get used to multitasking. Therefore, it needed support from an external factor which is to create a good organizational culture that will create work satisfaction and develop competencies as well as improve OCB behavior among employees. This research is conducted by using questioners with 245 respondents that work in online media from December to January 2020. The data has been analyzed by using Structural Equation Model (SEM). The result of this research shows that there is a relationship between organizational culture the work satisfaction among the employee of the online media industry. Furthermore, there is a relationship between organizational culture towards employee competency in the online media industry and it also shows a relation between work satisfaction towards organizational citizenship behavior in online media industry employees. Lastly, the result also shows a relation between competency towards organization citizenship behavior in online media industry employees. On the other hand, work satisfaction and competency also mediate the relation between organizational culture and organizational citizenship behavior.
Broadband RCS reduction for both microstrip array and Fabry‐Perot antenna based on the quasi‐AMC superstrate

This article presents a new type of quasi‐AMC superstrate (QAMCS), which can achieve wideband RCS reduction (RCSR) for both the microstrip array and Fabry‐Perot (FP) antenna. The proposed QAMCS comprises of two‐layer metallic patterns with a thin air gap. The top‐layer consists of two types of frequency selective surfaces (FSSs) in a checkerboard layout, and the wideband RCSR is realized based on the phase cancelation principle. The bottom‐layer consists of the slotted FSS, to reflect out‐of‐band signal while allowing the in‐band signal to pass through with a low insertion loss. Besides, the reflection phase of the proposed QAMCS is about −180° around higher frequencies. Therefore, it can be regarded as a partially reflecting surface (PRS) to construct the FP antenna with a highgain and low‐RCS. The simulation and measurement results show that the bandwidth of 10‐dB RCSR is more than 76% (7.2‐16.1 GHz). The 10‐dB impedance bandwidth of the array antenna is ranging from 16.6 to 18.6 GHz. For the FP antenna, its aperture efficiency is 31.5% and the peak gain is 17.5 dBi at 20 GHz.