Miracle-dz/UniFAR-FTUs huggingface dataset:
Southern region SOiL TeSTing fOr CrOP nuTriTiOn

 A range of soil test values used to determine if a nutrient is deficient or adequate is termed a critical range.  revised critical soil test values and ranges have been established for nutrients, crops and soil class.  A soil test value indicates if there is sufficient nutrient supply to meet the crop’s demand.  results from more than 2200 trials from south-east Australia have been compiled into a database that can be used to estimate soil test critical values and ranges.  A value above the critical range indicates there is not likely to be a crop yield response to added nutrients.  A value below the critical range indicates there is likely to be a crop yield response to added nutrients.  Critical ranges for particular crops and soils have been established for 0 to 10cm.  Soil sampling to greater depth (0 to 60cm) is considered important for more mobile nutrients (n, K and S) as well as for pH, salinity and sodicity.  use local data and support services to help integrate soil test data into making profitable fertiliser decisions.
Aalborg Universitet Analysis and protease-catalysed synthesis of sucrose alkanoate

The use of step-down gradient elution profiles to improve separation of sucrose caprate regioisomers was investigated as part of the development of a quantitative RP-HPLC analysis method with charged aerosol detection. The investigation was conducted using design-of-experiments methodology and evaluated by multivariate regression analysis. This approach was proven to be useful for systematic method development in HPLC analysis. The gradient elution profiles were described by four variables – two concentration variables and two duration variables. The regression analysis showed that the concentration variables had the most significant effects on retention times, both as individual terms and as part of variable interactions. All the regioisomers exhibited non-linear relationships between eluent acetonitrile concentration and retention time with similar curvatures. Kendall rank correlation coefficients confirmed that the curvatures of the regioisomer curves were highly dependent on each other. Charged aerosol detection provided a mass-sensitivity of 10–100 ng for the sucrose fatty acid ester regioisomers. Resolution deviation (RD) was defined as an aggregate objective function for evaluating the separation of three specific sucrose caprate regioisomers with similar elution properties substituted at positions 6-, 3and 1′-, respectively. The investigation resulted in the development of elution strategies for separation and quantitative RP-HPLC analysis of regioisomers of sucrose caprate with all eight sucrose caprate regioisomers successfully identified. Thus, resolutions above the level of adequacy for quantification, Rs ≥ 1.0, were achieved for all regioisomers, both with isocratic and gradient elution strategies. For isocratic elutions, the best separation was achieved with eluent acetonitrile concentration 34%. Gradient elution resulted in a similar RD, but decreased the analysis time by 7–28%. For the gradient resulting in the most desirable combination of separation and analysis time, the Rs-values ranged from 1.31 to 6.82, and the analysis time was 24 min. © 2013 Elsevier B.V. All rights reserved.
HDR Image Appearance Mapping Using Dual Exposed LDR Images

Display devices are difficult to express the high contrast scene because the dynamic range of device is very low than the real scene or human visual system (HSV). High dynamic range (HDR) tone mapping algorithms are developed to create a realistic image. An HDR blending algorithm is the combination method for multiple exposed low dynamic range (LDR) images and constructs an HDR radiance map. Existing HDR blending algorithms show color distortion when using only two LDR images. The reproduction of camera response function (CRF) is hard to be estimated by few images because of the lack of dynamic range information. iCAM is the HDR tone mapping algorithm based on the color appearance model. However, iCAM has hue and chroma distortion after tone compression step. This paper proposes an HDR blending and a tone mapping model to improve dual image-based HDR image toning.
Relationships between selective cognitive variables and students' ability to solve chemistry problems

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MEAT QUALITY VALUES IN DIFFERENT MUSCLES BY GENOTYPE AND GENDER FROM HYBRID PIGS

The aim of the study was to examine the effect of genotype (terminal breed), muscle and gender on the meat quality of hybrids from Lithuanian indigenous wattle pig and wild boar backcross to lean pig breeds. The animals used were females and castrated males from domestic Lithuanian indigenous wattle and wild boar hybrid backcross to domestic lean breeds (Norwegian Landrace and Yorkshire). The terminal breed influenced the growth rate and carcass fatness. The age at slaughter of hybrids from terminal Norwegian Landrace breed was 69.5 days lower, their backfat thickness at the 10 rib was 5.56 mm lower compared with the hybrids from terminal Yorkshire breed. However, Norwegian Landrace as a terminal breed showed a tendency towards lower meat quality traits, such as pH value in the longissimus and semimembranosus muscles and an increased thawing loss in the semimembranosus muscle. Gilts tended to have relatively 4.7% higher amount of dry matter and 0.7% lower pH value in longissimus muscle and relatively 3.6% lower content of dry matter and 4.0% higher content of protein than barrows in the semimembranosus muscle. However, the barrows had relatively 98.2% higher level of intramuscular fat in M. semimembranosus compared with gilts. The main differences between the muscle type were related to the differences in water holding capacity, cooking loss, colour and pH. Colour intensity and water holding capacity relatively 4.3% were higher, and pH value had a tendency to be higher in the semimembranosus muscle. Cooking loss had a tendency to be relatively 4.7% higher in the longissimus muscle. This study also identified several phenotypic correlations between the age, body weight and carcass fatness of hybrid pigs and meat quality traits, such as pH and water holding capacity.
The Role of Knowledge Management as a Mediator between Entrepreneurial Orientation and SME Performance

This study aims to determine the relationship between entrepreneurial orientation dimensions consist of innovativeness, pro-activeness, risk taking and SME performance. The study also seeks to determine whether knowledge management play a role as a mediator between entrepreneurial orientation and SME performance. The sample were 368 managers/owners of SMEs. Questionnaires adapted from previous research were used to measure the entrepreneurial orientation, knowledge management and SME performance. SEM-PLS 3.0 were employed in this study. The findings revealed innovativeness, pro-activeness, risk taking has significant influence on SME performance. Moreover the study also indicates that knowledge management play role as a mediator entrepreneurial orientation and SME performance.
APPLICATION OF RECURRENT NEURAL NETWORK USING MATLAB SIMULINK IN MEDICINE

In this paper, a recurrent neural network (RNN) for finding the solution of linear programming problems is presented with better, spontaneous and fast converging. To achieve optimality in accuracy and also in computational effort, an algorithm is also presented. This paper covers the MATLAB Simulink modeling and simulative confirmation of such a recurrent neural network. Modeling and simulative results validate the theoretical analysis and efficiency of the recurrent neural network for finding the solution for linear programming problem. An application RNN in medicine has been presented to show the performance of the recurrent neural network.
Crossmodal Pattern Discrimination in Humans and Robots: A Visuo-Tactile Case Study

The quality of crossmodal perception hinges on two factors: The accuracy of the independent unimodal perception and the ability to integrate information from different sensory systems. In humans, the ability for cognitively demanding crossmodal perception diminishes from young to old age. To research to which degree impediments of these two abilities contribute to the age-related decline and to evaluate how this might apply to artificial systems, we replicate a medical study on visuo-tactile crossmodal pattern discrimination utilizing state-of-the-art tactile sensing technology and artificial neural networks. We explore the perception of each modality in isolation as well as the crossmodal integration. We show that in an artificial system the integration of complex high-level unimodal features outperforms the comparison of independent unimodal classifications at low stimulus intensities where errors frequently occur. In comparison to humans, the artificial system outperforms older participants in the unimodal as well as the crossmodal condition. However, compared to younger participants, the artificial system performs worse at low stimulus intensities. Younger participants seem to employ more efficient crossmodal integration mechanisms than modelled in the proposed artificial neural networks. Our work creates a bridge between neurological research and embodied artificial neurocognitive systems and demonstrates how collaborative research might help to derive hypotheses from the allied field. Our results indicate that empirically-derived neurocognitive models can inform the design of future neurocomputational architectures. For crossmodal processing, sensory integration on lower hierarchical levels, as suggested for efficient processing in the human brain, seems to improve the performance of artificial neural networks.
INSTITUTIONS, HUMAN CAPITAL AND ECONOMIC GROWTH: A NEW THEORETICAL AND EMPIRICAL APPROACH

In this paper, we present a new economic growth model based on human capital. The decision on acquiring human capital depends upon existing institutions in the economy. As a result, an endogenous human capital accumulation function arises, which is similar to the ad hoc one proposed by Lucas (1988). There are two kinds of institution present in this process. The first one is the structural institution represented by geographical conditions, religious belief and biotype. The second one is the policy institution represented by economic policies, legal system and political behavior. The main outcome of the theoretical model is its contribution to a better understanding of the link between institutions and the input accumulation process. Our economic growth model shows that the structural institution is the key to setting up the initial ratio of educated to non-educated labor or the historical development path. Moreover, it is the human capital accumulation that triggers the technology development process as well as forming a self-sustained mechanism that generates continuous growth. As for the policy institution, it is in charge of transmitting totally or partially input growth to the long-run economic growth. The panel dynamic regression estimate showed striking evidence of the importance of the proposed model for understanding long-run economic growth. Keys-Words: Institutions, human capital, economic growth e econometric
UvA-DARE ( Digital Academic Repository ) On testing plausible threats to construct validity

Abstract. One of the psychological construct s used to predict oral hygiene behavior s andd dental health is internal locus of control. Both theory and researc h findings suggestt that a more specific and multidimensional approach to this construct is requiredd to refine and improve predictions. In the present study the Multidimensional Internall Health Locus of Control Scal e was adapted for measuring internal dental healthh locus of control beliefs. The results of the confirmatory factor analysi s show thatt young adults (N = 275) indeed have four very distinct beliefs about the control overr dental health. They have beliefs regarding the relationshi p between behavior and preventingg dental problems (Prevention) / regarding the relationshi p between behaviorr and managing dental problems (Management) , regarding their capacit y to actuall yy manage dental problems (Self-Mastery) and regarding the responsibilit y for dentall problems (Self-Blame) . The four different beliefs explain more variance in perceivedd dental health than usuall y reported with a one-dimensiona l approach to internall locus of control. This multidimensional approach of internal locus of control seemss valid and promising for understandin g the mechanis m through which psychologicall construct s contribute to proper oral hygiene and compliance to dental caree instructions.
Estimation of Spectra

In a previous lecture we covered some fundamental properties of covariance stationary linear stochastic processes. One objective for that lecture was to introduce spectral densities — a standard and very useful technique for analyzing such processes. In this lecture we turn to the problem of estimating spectral densities and other related quantities from data. Estimates of the spectral density are computed using what is known as a periodogram — which in turn is computed via the famous fast Fourier transform. Once the basic technique has been explained, we will apply it to the analysis of several key macroeconomic time series. For supplementary reading, see [2] or [1].
IR SENSOR DATA VISUALIZATION

This paper deals with possible usage of an infrared sensor (IR) for environment recognition. Firstly this technology can be used as a static device, e.g. for surveillance or secondly as sensor part of a robotic platform. In our case the application is determined for mobile robotic platform, where on the one hand it is going to serve as sensor of collision and on the other hand as equipment for local navigation. In this article the possibilities and restrictions of this sensor are presented. The design of presented result introduces intelligent IR sensor (iIRS), which is implemented by μP ATmega128 in connection with service application. The service application is used as communication with iIRS, verification and visualization of obtained data. The service application is designed in the Matlab environment.
Internet of Perishable Logistics : A Novel Networking Model for Food Supply Chain

Computer networks and Logistics systems are two very rich fields of study that have grown almost entirely separately since they deal with entirely different entities – information packets vs. packages. However, driven by extensive automation and infusion of information technology into distribution logistics and need to improve efficiency and sustainability of the operations, the logistics has attempted to adopt the cyber Internet principles. In this paper, we specifically consider the distribution of perishable commodities such as fresh food, perishable pharmaceuticals, blood, etc. in this context and thereby introduce the notion of Internet of Perishable Logistics (IoPL). We propose a layered architecture model for IoPL modeled after the cyber Internet and show how it can be useful in a systematic and hierarchical modeling of perishable logistics operations, which are extremely complex. We also show the synergies between IoPL and the cyber Internet and discuss a number of research issues inspired by such synergies. We also show how the layered model can be exploited to construct a simplified analytical framework for studying some basic tradeoffs between the delivered quality of the perishable product, transportation efficiency (in terms of unused carrier space), and the number of active carriers (which translates into cost and carbon footprint of the transportation service). The paper also points out a number of future research challenges and directions for a smarter IoPL.
Power Scaling Mechanism for Low Power Wireless Receivers

LOW power operation for wireless radio receivers has been gaining importance lately on account of the recent spurt of growth in the usage of ubiquitous embedded mobile devices. These devices are becoming relevant in all domains of human influence. In most cases battery life for these devices continue to be an us-age bottleneck as energy storage techniques have not kept pace with the growing demand of such mobile computing devices. Many applications of these radios have limitations on recharge cycle, i.e. the radio needs to last out of a battery for long duration. This will specially be true for sensor network applications and for im-plantable medical devices. The search for low power wireless receivers has become quite advanced with a plethora of techniques, ranging from circuit to architecture to system level approaches being formulated as part of standard design procedures. However the next level of optimization towards “Smart” receiver systems has been gaining credence and may prove to be the next challenge in receiver design and de-velopment. We aim to proceed further on this journey by proposing Power Scalable Wireless Receivers (PSRX) which have the capability to respond to instantaneous performance requirements to lower power even further. Traditionally low power receivers were designed for worst-case input conditions, namely low signal and high interference, leading to large dynamic range of operation which directly im-pacts the power consumption. We propose to take into account the variation in performance required out of the receiver, under varying Signal and Interference conditions, to trade-off power. We have analyzed, designed and implemented a Power Scalable Receiver tar-geted towards low data-rate receivers which can work for Zigbee or Bluetooth Low Energy (BLE) type standards. Each block of such a receiver system was evaluated for performance-power trade-offs leading to identification of tuning/control knobs at the circuit architecture level of the receiver blocks. Then we developed an usage algorithm for finding power optimal operational settings for the tuning knobs, while guaranteeing receiver reception performance in terms of Bit-Error-Rate (BER). We have proposed and demonstrated a novel signal measurement system to gen-erate digitized estimates of signal and interference strength in the received signal, called Received Signal Quality Indicator (RSQI). We achieve a RSQI average energy consumption of 8.1nJ with a peak energy consumption of 9.4nJ which is quite low compared to the packet reception energy consumption for low power receivers, and will be substantially lower than the energy savings which will be achieved from a power scalable receiver employing a RSQI. The full PSRX system was fabricated in UMC 130nm RF-CMOS process to test out our concepts and to formally quantify the power savings achieved by following the design methodology. The test chip occupied an area of 2.7mm2 with a peak power consumption of 5.5mW for the receiver chain and 18mW for the complete PSRX. We were able to meet…
’ s repository of research publications and other research outputs Document generality : its computation for ranking Journal Item

The increased variety of information makes it critical to retrieve documents which are not only relevant but also broad enough to cover as many different aspects of a certain topic as possible. The increased variety of users also makes it critical to retrieve documents that are jargon free and easy-to-understand rather than the specific technical materials. In this paper, we propose a new concept namely document generality computation. Generality of document is of fundamental importance to information retrieval. Document generality is the state or quality of document being general. We compute document generality based on a domain-ontology method that analyzes scope and semantic cohesion of concepts appeared in the text. For test purposes, our proposed approach is then applied to improving the performance of document ranking in bio-medical information retrieval. The retrieved documents are re-ranked by a combined score of similarity and the closeness of documents’ generality to that of a query. The experiments have shown that our method can work on a large scale bio-medical text corpus OHSUMED (Hersh, Buckley, Leone & Hickam 1994), which is a subset of MEDLINE collection containing of 348,566 medical journal references and 101 test queries, with an encouraging performance.