Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship Between Nonfinancial Measurements and Company Performance - Based on the Level of Customer Satisfaction

In this paper, the authors analyze the relationship between customer satisfaction and company performance and mainly talk about the major influence of customer satisfaction. This research examines company performance into financial and nonfinancial parts and provides a way to measure the company performance, which is called the balanced scorecard. The results indicate that customer satisfaction has four impacts on the company that includes four items, (1) increase customer loyalty, (2) complement accounting measures, (3) improve profitability, and (4) predict future financial performance. There are four parts that the company can do to increase the level of customer satisfaction. Improve the price-quality ratio, the efficiency of the process, customer service quality, and employee satisfaction.
UMA ABORDAGEM NÃO SUPERVISIONADA BASEADA EM AUTO-APRENDIZAGEM PARA A COMBINAÇÃO DE MÉTODOS DE ANÁLISE DE SENTIMENTOS

Sentiment analysis has become a very important tool for analysis of social media data. There are several methods developed for this research field, many of them working very differently from each other, covering distinct aspects of the problem and distinct strategies. Despite the large number of existent techniques, there is no single one which fits well in all cases and data sources. Moreover, in case of supervised approaches, it may be very hard to get labeled data for strategies that demand training, mainly for a new application. In this dissertation, we propose to combine several very popular and effective state-of-the-practice sentiment analysis methods, by means of an unsupervised bootstrapped strategy for classification of polarity. Our solution was thoroughly tested considering thirteen different datasets in several domains such as opinions, comments, and social media. The experimental results demonstrate that our combined method (aka, 10SENT) improves the effectiveness of the classification task, but more important, it solves a key problem in the field. It is consistently among the best methods in many data types, meaning that it can produce the best (or close to best) results in almost all considered contexts, without any additional costs. Our self-learning approach is also very independent of the base methods, which means that it is highly extensible to incorporate any new additional method that can be envisioned in the future. Finally, we investigate a transfer learning and active learning approach for sentiment analysis and show the potential of this technique to improve our results. Palavras-chave: Sentiment analysis, opinion mining, combined classification, unsupervised learning, bootstrapping.
Predicting harvest vulnerability for a recovering population of American black bears in western Maryland

Abstract Recreational hunting is the tool most commonly used to manage American black bear (Ursus americanus) populations in North America. However, bear populations can be sensitive to overharvest, particularly of mature females that can directly affect population growth. Managers need a thorough understanding of the factors affecting harvest vulnerability when using hunting as a primary management strategy. Here, we coupled Global Positioning System spatial data from female black bears and human hunters in western Maryland, USA, from 2005 to 2007, in order to model bear harvest vulnerability. Specifically, we developed maximum entropy (Maxent) predictive occurrence models for bears and for bear hunters and evaluated the influence of 7 environmental variables on their distributions. We then assessed predicted distribution maps for probability of co-occurrence to identify areas of high and low harvest vulnerability. Slope and land ownership (i.e., private–public) were the 2 most important variables determining female bear distributions, whereas land ownership and cover type were the most important variables influencing hunter distributions. We classified roughly 12% and 16% of the study area as being of high relative use for bears and bear hunters, respectively. Only 5.4% of the study area was considered to have high harvest vulnerability (i.e., high probability of co-occurrence). Areas with high bear relative use but low hunter use (i.e., low harvest vulnerability) comprised 0.9% of the study area. We were most interested in areas of high and low harvest vulnerability to enable resource managers to adjust hunting regulations that meet harvest goals.
Environmental Protection Tax Effect
on Reducing PM2.5 Pollution in China
and Its Influencing Factors

The PM2.5 pollution has been globally threatening human health. By monitoring PM2.5 concentrations and meteorological data, this study estimated the changes in PM2.5 concentrations before and after the implementation of an environmental protection tax law in 30 provincial capital cities in China by conducting a counterfactual curve-fitting simulation method and studied the effects of the environmental protection tax (EEPT) on PM2.5. Then, the influencing factors of the EEPT in China were investigated employing a Bayesian LASSO regression model. The environmental protection tax generally reduced the annual PM2.5 concentrations in China in 2018. The EEPT in various cities are different. Among the seven significant influencing factors, resident unemployment rate (RUR) and gross domestic product (GDP) were the top two influencing factors, with contributions up to 20.7% and 19.2%, respectively. Proportion of the secondary industry (PSI) (7.9%) and urbanisation rate (UR) (6.7%) were the bottom two influencing factors. The median influencing factors were resident average schooling years (RASY) (17.6%), relief amplitude (RA) (16.5%) and waste gas treatment input (WGTI) (11.5%). Furthermore, GDP and UR associated negatively with the EEPT on PM2.5 pollution, whereas the other five variables associated positively with the EEPT on PM2.5 pollution.
A Hybrid Approach to Network Robustness Optimization using Edge Rewiring and Edge Addition

Many crucial pieces of infrastructure we use on a daily basis, such as power grids and telecommunication system can be described as networks. The robustness of a network to failure is an important part of the reliability of its functionality. To help ensure that these networks stay stable and operational, it is useful to know how to increase its robustness to failure. Previous work has focused on increasing network robustness either through rewiring its existing edges or augmenting it with additional new edges. This paper proposes a new hybrid method that combines these two approaches and shows that this hybrid technique can be used to create networks considerably more robust than techniques that rely only on edge rewiring.
Potential aposematism in an insular tree species: are signals dishonest early in ontogeny?

Recent investigations have suggested that some plants are aposematic. Our understanding of how aposematism varies through plant ontogeny, however, is incomplete. Furthermore, the potential for lower leaf surfaces to signal to vertebrate herbivores that are viewing leaves from below has not been investigated. Here, we investigate ontogenetic changes in leaf colour in Pseudopanax crassifolius (Araliaceae), a tree species that is endemic to New Zealand. We demonstrate that P. crassifolius produces lateral leaf spines that peak in size during the sapling stage of development. Spots of brightly coloured tissues on the upper leaf surfaces may be warning signals. The intensity of these signals, however, peaked at the seedling stage, providing a dishonest signal of defence. Conversely, signals on lower leaf surfaces peaked in the sapling stage, providing an honest defensive signal later in ontogeny. Lateral leaf spines and all potential warning colours were absent in adults, after they grow above the reach of the largest known native megaherbivores (moa – Aves: Dinornithiformes). Overall, these results suggest that aposematism may vary predictably through plant ontogeny in response to the changing perspective of herbivores as plants grow vertically.
Trust and Trustworthiness of Friendship Relation In Yogyakarta and Makassar

Previous research conducted by the same authors found that personal attributes (benevolence, integrity, competence) and the relational attributes (closeness, support, and reciprocity) influence trust and trustworthiness. This paper aimed to test the proposed trust model on a new dataset while also testing for gender and regional differences. This research involved a collaboration between Universitas Gadjah Mada as a representative from Yogyakarta and Universitas Negeri Makassar as a representative from Makassar. There were 420 students that participated in this study; 157 (37.4%) men and 263 (62.6%) women. Regression analyses indicated that 42% of trust was formed by personal and relational attributes. Contrary to expectations, there were no differences in trust (p> 0.05) between females and males. However, there was a significant difference in trustworthiness (p0.05). This study provides an understanding on the importance of trust and trustworthiness in efforts to maintain pluralism, as a form of citizenship identity.
Bitcoin-Monero Cross-chain Atomic Swap

In blockchains where hashed timelock contracts are possible atomic swaps are already deployed, but when one of the blockchains doesn’t have this capability it becomes a challenge. This protocol describes how to achieve atomic swaps between Bitcoin and Monero with two transactions per chain without trusting any central authority, servers, nor the other swap participant. We propose a swap between two participants, one holding bitcoin and the other monero, in which when both follow the protocol their funds are not at risk at any moment. The protocol does not require timelocks on the Monero side nor script capabilities but does require two proofs of knowledge of equal discrete logarithm across the edward25519 and the secp256k1 groups and ECDSA one-time VES.
Material Hardship among Lower-Income Households: The Role of Liquid Assets and Place

ABSTRACT Lower income households are at risk for material hardship, particularly amidst the economic fallout of COVID-19. Where one lives (e.g., suburb, small town) may affect this risk due to variable access to resources, yet the evidence is mixed concerning the influence of place. We used a pooled, national cross-sectional sample of 66,046 lower-income tax filers to examine differences in material hardship in rural, small town, micropolitan, and urban areas. Controlling only for standard demographic variables, hardship risk appears higher in non-urban areas, yet these differences disappear after controlling for financial characteristics such as liquid assets and home ownership.
Characterization of in Vitro Shoots Brassica oleracea Results of Cotyledon Explants Induction Using KIN and NAA

Vegetative breeding that is mostly done now is through tissue culture techniques. The objective of this research was to obtain a description and examine the influence of the growth regulators 6Furfuryl amino purine (KIN) and naphthalene acetic acid (NAA) on the formation of in vitro shoots in this cultivar. For this reason, testing is needed to determine the characteristics of the in vitro shoots produced which can be useful as a tool for the formation of synthetic seeds. The ability of cotyledon explants to form the highest shoots (70%) was in the treatment containing 2 mg/l KIN + 0,5 mg/l NAA but this treatment did not show a significant difference with 2-3 mg/l KIN and 2 mg/l KIN + 0,5 mg/l NAA. The percentage of shoot formation correlates closely and positively with the number of culture bottles that form shoots (r = 0.72). Based on the description data and the result of the selection of the number of shoots selected two treatment of shoot induction i.e. treatment of 2 mg/l KIN + 0.5 mg/l NAA which has stem shape of round and straight, and treatment of 1 mg/l KIN + 0.5 mg/l NAA which also has the same stem shape. Shoots of selected induction results can be used for the formation of synthetic seeds. Keywords—Broccoli, 6-Furfuryl Amino Purine, naphthalene acetic acid, in vitro, description, characteristics, shoot formation, cotyledon, synthetic seeds
Generation of Explanations in Reinforcement Learning

Vanilla Reinforcement Learning has a clear interpretation on its solution based on the maximization of the total discounted reward. Nevertheless having a mathematical explanation does not make it intuitive and easy to understand the resulting policy even in small problems. We should be able to explain to a user why a given solution is better than an alternative beyond saying that the cost of the alternative is higher. We consider 6 different types of explanations for different questions a user might have. The question we aim to answer are Why this action in this state, How to reach the optimal state, Why not a different path, What happens in this path, What happens in a state and What happens when the policy is executed with errors. We contribute with a toolkit to provide explanations, new algorithmic tools to generate explanations, and show several examples to illustrate the approach.
Combined Mission and Motion Planning to Enhance Autonomy of Underwater Vehicles Operating in the Littoral Zone

To enhance the mission and motion-planning capabilities of autonomous underwater vehicles (AUVs) operating in the littoral zone, this paper presents a computational approach that automatically plans collision-free and dynamically-feasible motions that enable an AUV to carry out missions expressed in Linear Temporal Logic (LTL). The key aspect of the proposed approach is its use of roadmap abstractions in configuration space to guide the expansion of a tree of feasible motions in the state space. This makes it possible to effectively deal with challenges imposed by the vehicle dynamics and the need to operate in the littoral zone, which is characterized by confined waterways, shallow water, complex ocean floor topography, varying currents, and miscellaneous obstacles. Simulations experiments with accurate AUV models carrying out missions in the littoral zone show considerable speedup over related work.
Genetic variation between and within two populations of Rhabdocline pseudotsugae in Germany

Knowledge of the ecology and biology of Rhabdocline pseudotsugae Sydow is still at a very early stage. Recent results indicate the existence of an endophytic stage of the fungus in the form of symptomless infections in various Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco) tissue types. This study represents the first description of genetic variation between and within two populations of R. pseudotsugae. Needles featuring fruiting bodies of R. pseudotsugae were collected from sample areas in Saxony and North Rhine-Westphalia (in Germany), with different fungal genotypes distinguished using the start codon targeted polymorphism (SCoT) and branch point signal sequences (BPS) techniques. Five of the 20 primers tested could be selected for further investigation. A total of 349 fragments were amplified at an average of 69.8 fragments per primer. Results showed the two sample areas to exhibit a high degree of both genetic variability and genetic diversity. A clear differentiation between the sample areas wa.
Detonation control in a supersonic gas ow in a plane channel

Using a detailed chemical kinetics, detonation combustion of a stoichiometrical hydrogen-air mixture owing at a supersonic velocity into a plane symmetrical channel with a constriction was investigated with the purpose of both determination of conditions that provide detonation stabilization in the ow and study of methods of stabilized detonation location control. In case of detonation initiation by energy input, the investigation of conditions of formation in the channel of a thrust developing ow with a stabilized detonation wave was carried out. The e ect of variations of the in ow Mach number, the dustiness of the incoming gas mixture and the width of the outow channel cross section on stabilized detonation location was examined. Some methods of controlling of detonation location in the ow that ensure of thrust increase have been proposed. The possibility of formation of the thrust developing ow with stabilized detonation in the channel under consideration without any energy input has been detected.
The Time-Driven Activity-Based Costing Model for a Small Startup in Indonesia

The research proposed a Time-Driven Activity-Based Costing (TDABC) model for cost and human capital analysis in a small startup in Indonesia. TDABC discussed and illustrated the integration of capabilities into cost and performance in startups. The researchers applied a qualitative simulation method. The data were taken from actual regulatory data of wage and salary from the local government of Jakarta. The other data were simulated data based on a software development process for a small startup. The result indicates that the TDABC can assist the company to trace its performance and costs. Additional factors in implementing the costing system are provided for further research and practical considerations in adopting the costing system.
Turbulence and Multiphase Modelling of Oil-in-Water Dispersions in Stirred Cells

During the blowout of a subsea oil well, the fate and sequestration of the oil depends strongly on the size of the droplets. The distribution of the droplet sizes is determined by the turbulence of the flow field, the interaction between the phases present in the flow and the conditions at the well head. As full scale experiments are not tractable, benchtop and pilot-scale experimental investigations have been designed to measure oil droplet sizes under varying shear conditions. To better characterise the turbulence generated under these laboratory conditions, we have deployed a Finite Volume Method (FVM) to numerically simulate turbulence generated in a sapphire autoclave apparatus. To validate the turbulence models, a test condition was simulated for a single-phase baffled tank, where fluid motion was maintained by a Rushton turbine operating at Reynolds number of 7300. Results from a Wall Modelled Large Eddy Simulation (WMLES) were compared against the published experimental and Wall Resolving LES data. This method, along with a multiphase model, has been applied to simulate an autoclave system in which a four-blade vane-and-baffle mixing impeller was used to disperse oil in saltwater at high pressure. The speed of the impeller blade was varied to simulate Reynolds numbers ranging from 1073 to 5378, facilitating comparison between the model results and the
A Comprehensive Review on Image Dehazing

Haze is a challenging problem that degrades the quality of digital images. It entirely affects the field of military and civil systems, surveillance e.t. c. Image dehazing can provide the best solution to enhance these images. Nowadays, deep learning methods have been progressed in the field of image dehazing. Various studies have been introduced for the removal of haze. This paper reviews several works that deal with image dehazing of daytime and nighttime images.
Interactive comment on “Thermo-mechanical numerical modelling of the South American subduction zone: a multi-parametric

Comment The authors present a parametric modeling study that aims to determine the physical subduction parameters associated with South American subduction. Overall, the figures are text are clear, the descriptions of the model behaviors are very well done, and the topic is interesting. However, I think there are some major issues with the study relating to i), the thermal weakening rheology adopted in a set of models, and ii), the overall study design. For the study to achieve its goals, I therefore think significant work is needed to re-think important aspects of the paper. C1
Review on city-level carbon accounting 1 2

a, School of Statistics, Beijing Normal University, Beijing 100875, China 5 b, Sustainability Assessment Program (SAP), School of Civil and Environmental Engineering, 6 UNSW Sydney, NSW 2052, Australia 7 c, Energy and Sustainability Research Institute Groningen, University of Groningen, Groningen 8 9747 AG, Netherlands 9 d, Research center for Eco-Environmental Engineering, Dongguan University of Technology, 10 Dongguan 523808, China 11 e, Humphrey School of Public Affairs, University of Minnesota, Minneapolis, MN, USA 12 f, Department of Earth System Science, Tsinghua University, Beijing, 100080, China 13 g, Water Security Research Centre, School of International Development, University of East Anglia, 14 Norwich NR4 7TJ, UK 15 h, Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 16 100081, China 17 i, State Key Joint Laboratory of Environment Simulation and Pollution Control, School of 18 Environment, Tsinghua University, Beijing 100084, China 19 20 21 Corresponding author: ywang@bnu.edu. cn 22 23 24
Optimum reactive power compensation for distribution system using dolphin algorithm considering different load models

The distribution system represents the connection between consumers and the entire power network. The radial structure is preferred for distribution system due to its simple design and low cost. The electrical distribution system suffers from problems of rising power losses higher than the transmission system and voltage drop. One of the important solutions to improve the voltage profile and to reduce the electrical distribution system losses is the reactive power compensation which is based on the optimum choice of position and capacitor size in the network. In this paper, different models of electrical loads such as constant power(P), constant current(I), constant impedance(Z), and composite (ZIP) model are implemented with comparisons between them in order to identify the most effective load type that produces the optimal settlement for alleged loss reduction ,enhancement of the voltage profile, and cost savings. To minimize search space, Dolphin Optimization Algorithm (DOA) is applied for selecting the size and location of capacitors. Two case studies (IEEE 16- bus and 33- bus) are employed to evaluate the different load models with optimal reactive power compensation. The results of comparison between the different load models show that ZIP model is the best to produce the optimum solution for capacitor position and size. In addition, comparison of results with literature works are done and showed that DOA is the most robust among other algorithms to achieve the optimum solution for voltage profile enhancement significant reduction of losses, and saving cost.
What is the so-called Amphistoma (II) ?

In the first part of this paper, published on Dec. 14, 1967, I gave an alphabetical list of so-called Amphistoma and in this second part I wanted to show schematic figures of all genera listed, but I am sorry I cannot show some of them as I cannot find the original papers. While I was looking through various literatures. I found some other genera must be added to the list of part I and one mistake in spelling_ These errors are given in Errata and Addenda in the end of this paper. In the figures, I show only two adhesive organs, the digestive tract and two k inds of genital glands; namely the ovary (black) and the testes (dotted) and the opening part of the genitals. Vitelline glands are characteristic for each genera, but the figures art too complicated to be shown, so I omitted them completely_ At this time, I want to express my hearty thanks to Dr. SA TYU Y AMAGUTI and Dr. LAURO TRAVASSOS for their excellent books, as most of my shematic figures were redrawn from these works with free hand. Also my thanks is due to some other authors.