Miracle-dz/UniFAR-FTUs huggingface dataset:
Fumigant toxicity and joint action of garlic essential oil and its main compound , allyl disulphide with certain modified atmospheres against confused flour beetle , Tribolium confusum

In this study, fumigant toxicity of garlic, Allium sativum, essential oil and its main compound (allyl disulphide) in combination with high concentration (92%) of carbon dioxide (CO2) and nitrogen (N2) to all life stages of Tribolium confusum Jacquelin du Val was determined. Preliminary bioassay tests indicated that 10 μl/L concentration of garlic essential oil and allyl disulphide alone resulted in 100% mortality of only eggs and pupae of T. confusum without any necessity of CO2 and N2 combinations. However, these treatments did not cause 100% mortality of larvae and adults of T. confusum. According to preliminary bioassay tests, combinations of garlic essential oil and allyl disulphide with 92% CO2 and N2 resulted in significant increase in the mortalities larvae and adults of T. confusum. Moreover, there were differences in susceptibility of life stages of T. confusum to combinations of garlic essential oil and allyl disulphide with CO2 and N2. While the egg was the most susceptible stage to the treatments, the larva and adult were the most resistance stages. Lethal concentration tests indicated that garlic essential oil and allyl disulphide in combination with 92% CO2 and N2 had 1.1to 4.4-fold reduction in LC90 values for all life stages of T. confusum. Generally the combinations of garlic essential oil and its main compound (allyl disulphide) with 92% CO2 were more toxic to all life stages of T. confusum than those in combinations with 92% N2 as evident by significant decrease in their LC50 and LC90 values. It appears that high concentration of CO2 and N2 have a synergistic effect on all life stages of T. confusum when exposed together with garlic essential oil and allyl disulphide. Thus, that combinations of garlic essential oil and its main compound (allyl disulphide) with modified atmosphere can be potential as an alternative application to the most commonly used commercial fumigants.
Implementation of a DRC ( Delayed Reference Control ) for contact force control in robotic application

This paper presents a non-time based control scheme for a robotic mechanism interacting with the environment and/or a human operator. This new control is based on the modification of the desired input reference xd. Contrary to a time-based control, where the function, xd(t), is commonly calculated off-line during a path-planning process, in the proposed controller, the desired input reference is a function of time and a variable which plays the role of a time delay: xd(t-T). For this reason this controller has been called delayed reference control (DRC). The time delay is properly calculated on-line according to the measured force signals in such a way to improve the interaction with the environment and/or the human operator. In fact, the DRC consists in a outer force feedback loop around an inner position feedback loop. Numerical simulations will prove the effectiveness of the controller by means of a simple 1 DOF mechanism.
Three-bit Unit-cell with Low Profile for X-Band Linearly Polarized Transmitarrays Binh

─ In this paper, we present a three-bit phase resolution and low profile unit-cell structure for X-band passive transmitarrays. The unit-cell is implemented using four metallic layers printed on two substrates separated by an air gap. The phase shift is achieved by a combination between current flow modification on middle layers and the variation of the size of path elements. Eight unit-cells are optimized to provide eight phase states with a step of 45°. Experimental results are conducted by using WR-90 waveguide to validate the design. These eight unit-cells cover a wide -3 dB transmission bandwidth of 15% and exhibit a low thickness of 0. 18λ0. Index Terms ─ Cut-ring patch, reflectarray, ring slot, transmitarray, unit-cell design.
BEM Simulation of tube acoustics using thin elemens

The acoustic of hollow tubes and pipes is of interest in many research areas, e.g. noise control, simulation of musical instruments or when modelling the human vocal tract. As an alternative to the “classical” tube models that assume plane wave propagation inside the tube, the boundary element method offers a flexible alternative, where different materials and different shapes of the tubes (e.g. curved tubes) can be easily simulated. In this paper we present a BEM model of a hollow tube using thin elements. We use this model to calculate the resonance frequencies and the sound radiation of a so called Klangröhre or Boomwhacker, which is a musical toy for children tuned to the note C4. The simulation results are then compared with measured resonance frequencies from the same Boomwhacker.
PERFORMANCE ANALYSIS OF SYMMETRIC AND ASYMMETRIC KEY CRYPTOGRAPHY ALGORITHMS

Now a days the exchange of information is done electronically. Most of all our information is in electronic form, and it’s very important to maintain our information to be secure. To protect the information various method or techniques have been proposed and adopted but there are still some other factors that need to be considered like implementation performance metric and cost of implementation. This paper presents firstly, the performance analysis of symmetric and asymmetric-key cryptography algorithms, in terms of different settings like block size of plaintext, key size, speed, efficiency and attacks. Secondly it also gives the performance analysis of various symmetric algorithm with respect to CPU Load, Memory Utilized by the algorithm and the time taken for encryption process.
Embrapa ’ s alliance department : role and position

This article offers an empirical base regarding the elements that make up alliance capability. Specifically, it attempts to understand the activities of the alliance portfolio management and its relationship to the rest of the organization. To accomplish this, it relies on premises in the literature relative to dynamic capabilities, the knowledge-based view, the competence-based view and the theory of organizational learning. The research method was a case study, using semi-structured interviews, analysis of documents and participative observation. The results show the importance and the role of the area in charge of managing the alliance portfolio. It points out this area’s functions related to the structure of the organization, provides empirical evidence of those functions, and demonstrates how the management process effectively proceeds in its different stages.
On Prioritizing and Freezing of Software Requirements

Software requirement is a state or an aptitude necessitated by end user to overcome a problem or to accomplish the needed purpose. Further, it is generally classified into functional and non – functional requirements. Considering this, a well premeditated course of action is used for determining user potential for a new as well as existing product, which is known as Requirement Engineering or Requirement Analysis. Also it is considered as one of the most significant task and serves as a foundation in software development. Requirement analysis procedure consists of various activities such as understanding of domain, collection and classification of requirements, conflict resolution, requirements prioritization and validation. Through this paper, we describe the reviews of requirements engineering and essentially on the most noteworthy task that is prioritizing and freezing of software requirements during Requirement analysis process. The paper is divided into four sections; first section is introductory, followed by literature review. Section three represents finding and analysis from literature review, followed by concluding section.
ustainable systems promote wholeness-extending transformations : he contributions of systems thinking

This paper reviews and compares systems thinking ideas originating from three individuals in diverse disciplines: American ecologist Bernard Patten, German sociologist Niklas Luhmann, and Austrian-born architect Christopher Alexander. From all three, stem ideas promoting the importance of differentiation (boundaries), connectedness, relations, and feedback. The congruence of these ideas formed independently, in different disciplines, on different continents, at roughly the same time speaks to the deep
Dynamically Reconfigurable

A novel dynamically reconfigurable bandpass filter (BPF) employing stepped impedance resonators (SIRs) that can operate as either a single-band or a dual-band filter is demonstrated. The reconfigurable BPF uses four p-i-n diodes as switching elements. With the four p-i-n diodes in the “OFF” state, the filter behaves as a low-loss (0.85 dB) single-band BPF with a passband around 2.45 GHz. The reconfigurable SIR filter can operate as a dual-band bandpass filter with two center frequencies at 1.6 GHz and 2.45 GHz. The diodes are dynamically set to the “ON” state in the presence of a 1.6 GHz RF signal that is received by an RF triggered power management unit (PMU), integrated on the back side of the microstrip filter in a dual-layer architecture. The RF triggered PMU consists of a PIFA antenna, a highefficiency voltage doubler rectifier (47% at -13 dBm) and an active dc-to-dc power booster. The rectified output voltage is used as the enabling voltage for the dc-to-dc power booster. This, in turn, provides the required dc power for the diodes biasing. The filter switches from single-band to dual-band when a wireless input RF signal (>-13 dBm) is received by the RF triggered PMU’s antenna.
Using a SAT-based Model Finder to Verify First-Order Logic Ontologies of Space against Datasets : Scalability and Bottlenecks in Practice

Semantic verification of an ontology encompasses checking its internal consistency, which ensures the ontology itself is free of contradictions, and its external consistency, which ensures that it is consistent with the kind of datasets it is intended to work with. Unlike description logic (DL) ontologies, first-order logic (FOL) ontologies are rarely verified externally against datasets because FOL model finders have been limited to tiny models with less than 20 individuals. Focusing on FOL ontologies of spatial relations, this paper investigates the source of the bottleneck via a formal analysis and experiments with the SAT-based model finder Paradox. We demonstrate that the presence of many defined terms of highest arity (here defined binary spatial relations), which are common in ontologies but not in other mathematical theories, significantly slows down model finding. It is shown that removing optional explicit definitions and substituting the terms they define with their definiens exponentially speeds up model finding, allowing easy construction of models with more than 100 individuals. While this is still small compared to what DL reasoners can handle, it is a significant improvement over the tiny, often trivial models to which verification of FOL ontologies has been traditionally restricted.
Does family control affect corporate debt choices ? An empirical analysis of Eurozone countries

This paper investigates how family control influences financing decisions of corporations. First, we analyze whether family control moderates the relation between cash flow and debt. Additionally, we account for the possibility of deviations between families’ voting and cash flow rights, and consider the role of second large shareholders in family firms’ financing choices. The present study also disentangles whether adjustment speeds towards target debt depend on the family nature of corporations. We find that family control attenuates the negative relation between cash flow and debt; but only when there is no deviation between family ownership and control. These results support that certain family firms have easier access to debt financing. Regarding the role of second large shareholders, family second blockholders are associated with a stronger negative relation between cash flow and debt, in line with a collusion effect. Contrary to our expectations, non-family second blockholders lead to a stronger negative impact of internal funds on debt, consistent with a substitution effect between second blockholder’s and debtholder’s monitoring. Our findings confirm higher adjustment speeds towards target debt in family companies. Overall, our empirical evidence suggests that family control can benefit minority investors by facilitating a firm’s access to debt financing.
Tree-ring Width of European Ash Differing by Crown Condition and its Relationship with Climatic Factors in Latvia

The spreading dieback of European ash (Fraxinus excelsior L.) that is a serious threat to the existence of the species in Europe, has been related to climatic changes. Still, not all trees in stands are damaged equally, suggesting that sensitivity to weather conditions might have affected the susceptibility to the disease. Climate-growth sensitivity of ash with visually healthy and damaged crowns growing in four stands in the central and eastern part of Latvia was assessed by dendrochronological techniques. The patterns of tree-ring width variation showed high diversity amongst trees, stands and regions; differences were observed between the damaged and healthy trees. Tree-ring patterns showed higher diversity amongst the healthy trees in the central part of Latvia, but, in the eastern part of Latvia, amongst the damaged ones. Mainly, the damaged trees were ca. 10–15 years older than the healthy ones suggesting age related differences in susceptibility, which might be related to vigour. The damaged and healthy trees differed also by growth trends, suggesting affiliation to different crown class, particularly at younger age. The sets of the significant climatic factors differed between the central and eastern part of Latvia. In the central part of Latvia, ash was mainly affected by the precipitation and daily temperature difference in the summer preceding formation of the tree-ring. Although the damaged trees were more sensitive to daily temperature difference and precipitation in the preceding August, the healthy trees were also additionally affected by maximum temperature in the preceding August. In the eastern part of Latvia, the sets of the significant factors were site specific, however, trees were mainly affected by temperature in the preceding autumn and current spring. In one site, the damaged ashes were more sensitive to temperature in July and September, while in other site the damaged trees were more affected by precipitation in July; the healthy trees were additionally affected by precipitation in September and temperature in April. Hence, the susceptibility to the disease appears partially related to the climatic sensitivity of trees.
How Does Trade Cause Growth ?

There has been a large literature emphasizing the role of international trade in fostering economic growth. This paper goes one step further and explores how international trade can affect output growth. In particular, international trade can lead to higher growth to the extent that it translates into greater factor accumulation or productivity increases, especially those associated with technology diffusion and knowledge spillovers. We empirically analyze the different channels of growth, considering the trade relations between a country and its main trading partner and to “world growth poles. ” Our findings suggest that two characteristics of trading relations are particularly important: which industries are involved and how traded products are produced. A positive spillover effect on economic growth is observed the larger the trade in similar industries, the greater the extent of upstreamness in exports (suggesting insertion in global value chains), and the higher the humancapital intensity embedded in the traded goods. Importantly, the type of products traded, e.g. whether commodities or high-tech goods, does not seem to matter in explaining what lies behind the trade-growth nexus. A decomposition of growth suggests that these factors work mostly through their effects on productivity (TFP) rather than on factor accumulation. Lastly, we provide strong evidence on the importance for economic growth of having trade linkages to one of the major “world growth poles”, and particularly when the pole is a developed country. JEL Classification Codes: F15, F43, O40
435-1 FEATURE EXTRACTION METHOD FOR SIMILAR DISTRICTS IN TWO CITIES AND ITS APPLICATION TO OTHER CITIES In the Case of Tokyo , Kyoto , and Osaka

Cities include districts with various features, and many studies have attempted to grasp the characteristics of cities by clustering districts with similar features. To date, the spatial clustering target has been a single urban space. However, districts with similar characteristics can be observed in different cities. We propose a feature extraction method that generates common feature functions using geographical data, such as population, industry type, use district, and similar districts in two cities. The usefulness of the proposed method was verified by applying the obtained feature function using Tokyo and Kyoto data to another city Osaka as verification data.
Developing Ontologies for Linked Geospatial Data

We compare experiences in modelling geographic information in OWL by two very different methods. Both methods have a root in OGC standards, but one followed a semantic web development style and the other a UML-flavoured Model Driven Architecture style. We ask how much of the OGC UML modelling should be preserved in the transition from UML modelling to OWL modelling and from XML to open linked data.
Fish Undergraduate Performance Computer-managed Homework vs. In-Class DECISION SCIENCES INSTITUTE A Preliminary Comparison of Undergraduate Student Performance on Computer-managed Homework versus In-Class Performance: Different Testing Formats

In an operations management course, undergraduate performance differs significantly between computer-managed homework and in-class testing, particularly by different formats. Moderate correlation between computer-managed homework performance and in-class testing exists for quantitative problems and overall, which demonstrates support for homework as a value-added activity. A milder correlation in support of learning through multiple choice questions also exists. Undergraduates perform better on scaffolded questions than on open or partially-open questions. Therefore, results highlight the different levels of student learning demonstrated through computer-managed homework and performance differences by testing format. Results have implications for computer-managed homework designers and instructors.
M 5 Model Tree and Gene Expression Programming for the Prediction of Metrological Parameters CONFERENCE

Metrological parameter prediction is an important task carried out by metrological researchers and water resource analyst for the estimation of water demand, water resource planning, management and operation. Accurate predictions of these parameters are still an open problem. M5 model tree and gene expression programming are two popular machine learning techniques which are considered as whitebox model. In this paper, we have applied two machine learning techniques, such as M5 model tree and gene expression programming, for the prediction of various metrological parameters at a weather station. Among these two techniques, one is better over other for the prediction of a set
Group-Delivered Brief Intervention versus Standard Care for Mixed Alcohol/Other Drug Problems

Abstract This study compared a Motivational Interviewing inspired group intervention with standard care in naturalistic alcohol/other drug abuse samples. A community-recruited alcohol/other drug abuse or dependent sample (N = 67) was provided up to four sessions of groupadapted Motivational Interviewing (GAMI). Newly admitted patients (N = 64) in two multimodal treatment settings were also recruited. Quasi-experimental comparison of outcomes from GAMI versus real-world standard care (SC) indicated significant within-group improvement on all main outcomes in both groups. SC was associated with significantly more abstinence days, and better family and social outcomes at six-month posttreatment compared to GAMI. Differences in reductions in alcohol or drug-related dysfunction were not detected. Thus, group-delivered MI intervention was associated with significant improvements in alcohol/other drug use outcomes. However, consideration of group-delivered MI as a replacement for more intensive standard care is, for the moment, uncertain.
Swedish Sentiment Analysis with SVM and handlers for language specific traits

Sentiment analysis is a field in the area of text mining, concerned with the classification of subjective expressions from written text. For the English language sentiment lexicons and models exist, but in Swedish, there is a lack of labelled training data, and of open-source sentiment classification models and tools for Swedish. This thesis addresses the lack of knowledge on how to feasibly implement a Swedish sentiment model. Additionally it addresses the lack of knowledge if Swedish language specific handlers could improve model accuracy. All handler implementations aggregate information which semantically belongs together in Swedish, but is separated within a sentence. The research goal is to design, instantiate and evaluate a Swedish sentiment classification model using a Support Vector Machine algorithm (SVM). The main research question is the following: "What is the performance of the designed Swedish sentiment classification model, measured with accuracy, precision and recall? " Domain specific semi-supervised sentiment classification of article newspaper texts using support vector machines is applied. The Design Science Research Methodology (DSRM) and a Framework for Evaluation in Design Science Research (FEDS) are employed in the thesis. The labelled training data for Swedish sentences was created with the help of two algorithms which gave sentiment labels to Swedish sentences. Sentences with matching labels by the two algorithms were selected for the training data set. The SVM was trained on the training data and SVM parameters were tuned to get best accuracy. Language specific handlers were implemented to handle Swedish idiomatic expressions, phrasal verbs and negations. The result of the model evaluation shows that the SVM achieves a best accuracy of 83.71%, which is comparable to similar previous research. This accuracy was achieved with the radial basis function kernel, without scaling, and binary weighting. The inclusion of language specific handlers did not improve the classifier. Each logically combined handler feature-value pair is rare and gets negligible weight by the SVM; in addition, those combined features-value pairs may enhance the total feature set, which might have detrimental effects on accuracy. Future studies could explicitly concentrate on researching the effects of language specific feature reduction and enhancement on SVM prediction results.
CS 224N Final Project Report

Our project examines end-to-end deep learning techniques for question answering on the Stanford Question Answering Dataset (3). To address this problem, we have implemented two primary additional features on a baseline Bidirectional Attention Flow model, namely character-level embeddings and self-attention. At the time of submission, our test leaderboard F1 score was 61.221.