Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal Determination of Locally Variable Herbicde Application Rates in Presence of Uncertainty

Weed competition can be a signi cant impediment to crop yield and pro t. Herbicide is applied to reduce weed populations, minimize crop loss, and maximize pro t. Complete and deterministic knowledge of the weed distribution would allow the farm manager to calculate the \correct" application rate. This correct rate would be locally variable, that is, more herbicide would be applied in areas of high weed density and a reduced amount would be used where there are few weeds. This locally varying treatment is an environmentally and economically sound approach to weed control. The major problem facing farm managers is the unavoidable uncertainty in the spatial distribution of weeds in any particular eld. Deciding on the optimal locally-varying rate of application in this case is more problematic. We propose a methodology for establishing optimal herbicide application rates using geostatistical models of uncertainty in weed density combined with principles from decision making. A case study with data from a eld near Saskatoon, Saskatchewan, Canada illustrates this methodology. Weed control is achieved with a signi cant reduction in herbicide. Herbicide requirements may not always go down; however, we can be sure that the herbicide is being applied at the right locations rather than uniformly over the entire eld.
The Association Between Functional Status , Health Related Quality of Life and Depression After Stroke

Objective: Stroke is a major cause of disability, and assessment of quality of life is important in patients after suffering a stroke. Psychological disorders may be associated with poor quality of life and lower functional status after stroke. The objective of the study was to determine the relation between health-related quality of life, functional status, and depressive symptoms in stroke patients. Materials and Methods: Subjects consisted of fourty patients who were being treated in the rehabilitation program in the Department of Physical Medicine and Rehabilitation at Harran University Research Hospital. Health-related quality of life was assessed using Short Form 36 (SF-36), functional status using the Stroke Adapted Sickness Impact Profile (SA-SIP), and depressive symptoms using Beck’s Depression Inventory (BDI). Results: BDI scores were negatively correlated with physical functioning, role limitations due to physical problems, emotional problems, and mental health subscales of SF-36 (p=0.002, r=-0.474; p=0.008, r=-0.417; p=0.01, r=-0.369; p=0.03, r=-0.369, respectively). Furthermore, BDI scores were positively correlated with Communication, Ambulation, and Emotional Behavior subscale scores of SA-SIP (p=0.03, r=0.347; p=0.002, r=0.483; p=0.001, r=0.502, respectively). Conclusion: Depressive symptoms are common, and the severity of depression may be related to poor functional status and quality of life in stroke patients. Assessment, recognition and management of depression may facilitate the participation of stroke patients in rehabilitation programs. Turk J Phys Med Rehab 2008;54:89-91.
Designing and Optimizing Control of Central Chiller Plant for High-Rise Buildings

147 Abstract— This paper presents an approach for analyzing, designing and optimizing control for central chiller plant system, in a centralized air-conditioning system using chillers. The optimization control program is implemented on the Building Management System (BMS) from Siemens provider. The optimal control approach is relied on analyzing chiller’s machine principle and performance characteristics curve, the flow rate per capacity of chiller’s condenser and evaporator, the temperature of chilled water supply and condenser water supply, real data of pump’s flow rate. The program permits a stabilized control and operates the plant around the optimum point of all equipment’s, in the chilled water circulation as well as condenser’s cooling water circulation. The system, therefore, reduces an investor’s total life-cycle cost and effectively contributes the energy efficiency and save the global environment. The tested data in one building complex showed the good performance of the program and saving electrical consumption.
Factors in Management Systems contributing to Business Excellence

Factors in Management Systems contributing to Business Excellence Jyotiska De and Vijith Valentine Quadros This study is concerned with the identification of the factors in management systems which contribute to business excellence in an organisation. Considering that every organisation regardless of sector and size wants to achieve business excellence, and every organisation is made up of multiple clusters of management systems, this is a highly interesting topic for the researchers and the case company, Veoneer. However, despite the prominence in the importance of a management system and goals to achieve business excellence, there is a lack of contemporary research on how management systems contribute to business excellence. To fill this gap, a case study was conducted identifying factors of management systems through benchmarking three organisations that have achieved business excellence and conducting interviews at Veoneer Sweden AB. Through drawing upon data from the interviews with 14 people at Veoneer, it was found that management systems contribute to business excellence through systemic and cultural factors. A mix of cultural and systemic factors were found to be important in a management system’s contribution to business excellence. Additionally, feedback systems and a diverse management system team were identified to be important for the implementation of a management system.
Moisture Estimation Using Tomographic Ground Penetrating Radar in a MCMC-Bayesian Framework

Abstract: In this study, we focus on a hydrogeological inverse problem specifically targeting monitoring soil moisture variations using tomographic ground penetrating radar (GPR) travel time data. Technical challenges exist in the inversion of GPR tomographic data for handling non-uniqueness, nonlinearity and high-dimensionality of unknowns. We have developed a new method for estimating soil moisture fields from crosshole GPR data. It uses a pilot-point method to provide a low-dimensional representation of the relative dielectric permittivity field of the soil, which is the primary object of inference: the field can be converted to soil moisture using a petrophysical model. We integrate a multi-chain Markov chain Monte Carlo (MCMC) Bayesian inversion framework with the pilot point concept, a curved-ray GPR travel time model, and a sequential Gaussian simulation algorithm, for estimating the dielectric permittivity at pilot point locations distributed within the tomogram, as well as the corresponding geostatistical parameters (i.e., spatial correlation range). We infer the dielectric permittivity as a probability density function, thus capturing the uncertainty in the inference. The multi-chain MCMC enables addressing high-dimensional inverse problems as required in the inversion setup. The method is scalable in terms of number of chains and processors, and is useful for computationally demanding Bayesian model calibration in scientific and engineering problems. The proposed inversion approach can successfully approximate the posterior density distributions of the pilot points, and capture the true values. The computational efficiency, accuracy, and convergence behaviors of the inversion approach were also systematically evaluated, by comparing the inversion results obtained with different levels of noises in the observations, increased observational
Jumps in an Stochastic Optimization : Self-Financing Portfolio for Risk Nuetral Investors : Does Bequest

We optimized consumer/ investor behaviour, subject to self-financing constraint using stochastic dynamics system with jumps. Our aim in this paper is to compare a stochastic optimization model with and without jump in a self-financing Portfolio Model, for a risk nuetral investors. We also introduce a model with and without bequest to the dynamic system. In this paper, our contributed to the literature is to introduce an analytical solution of the utility maximizing model and investigate the consequences of jumps and bequest to the model. A previous model by Gazioglu Bastiyali-Hafavi (2010) used optimization, only with Brownian motion during optimization. In this paper, our contribution to the literature is to introduce jumps into Poisson process with various intensities. We compare the model with and without jumps for risk neutral investors. Furthermore, we compare the results of the cases with and without bequest as a form of wealth.
The Impact of EU Grants for Research and Innovation on Private Firms’ Performance*

The paper assesses the impact of European Union (EU) grants for research and innovation on profit-oriented firms’ productivity. Using a unique dataset on both successful and unsuccessful applicants to the EU’s 7th Framework Programme and balance-sheet data for firms from 46 countries, we show that the EU grants have had a positive impact on firms’ post-treatment
Selected Issues Relating to Real and Nominal Convergence on New EU Member States

This paper analyses the process of nominal and real convergence of the New Member States of the European Union. It also discusses theoretical and methodological issues relating to this process. The importance of nominal and real convergence is underlined in connection with a successful catching-up. The EU-10 economies experienced in recent years robust economic growth, which had a positive impact on the convergence process. Although this favourable development of real convergence (GDP per capita measured at PPS) is accompanied by a simultaneous price (nominal) convergence (changes in relative prices and a convergence of price levels), the comparative price level is still biased towards lower level in comparison with the per capita income. The disaggregated approach to comparative price level indexes revealed important consequences. The most often used regression in the real and nominal convergence process shows the slope of comparative prices level to GDP per capita in PPS near 0.8-0.9. If we do disaggregated approach, we get absolutely different results. The expected real convergence process will cause the increase in comparative prices level through the price increase in services, where the slope to GDP per capita is higher than in comparative price level for total goods. The convergence process will require faster growth of prices in the economy than that achieved by the EU, which is to be underpinned, by productivity growth. Otherwise, it would undermine the competitiveness of firms. The relatively lower price level could be a serious macroeconomic problem in the process of euro adoption (e. g. in time of entering the ERM II, when the exchange rate channel will be phased out). That’s why we thoroughly study the Balassa-Samuelson effect for the EU-10 states in third chapter (there are six subsection of every one of EU-10 economies for our analysis). Our discussion of other selected issues is in the third part.
Molecular cloning and characterization of the human p 27 Kipl gene promoter

p27 is an inhibitor of multiple cyclin-dependent kinases (cdk), and can arrest the cell-cycle progression by inhibiting the phosphorylation of the retinoblastoraa gene family products. Tumor formation in p27 knockout mice clearly shows that p27 plays an important role in inhibiting tumor formation and progression. To investigate the mechanism of transcriptional p27 gene expression, we isolated the genomic DNA fragment of the 5' flanking region of the human p27 gene and characterized its promoter region. The human p27 promoter is TATA-less, and the sequence is highly homologous to the murine p27 promoter sequence. In the promoter assay, deletion from —774 to —435 relative to the initiating codon resulted in a 15-20-fold reduction of the p27 promoter activity, suggesting that the elements for basal promoter activity exist in this highly conserved 340 bp region, where putative CTF and ATF sites are conserved. © 1997 Federation of European Biochemical Societies.
Stability analysis for a class of switched neutral systems via multiple generalized Lyapunov functionals scheme

This paper discusses the stability analysis for a class of switched neutral systems with none of the individual subsystems asymptotically stable. By employing a multiple generalized Lyapunov functionals method and a free weighting matrix technique, a delay-dependent stability criterion under a hysteresis switching law is developed in terms of linear matrix inequalities (LMIs). Finally, an example illustrates the proposed method.
HEMATOLOGICAL ALTERATIONS AND OSMOTIC RESISTANCE OF ERYTHROCYTES IN ENDURANCE HORSES DURING 32 KM RACES

Exhausting and chronic exercise, have been associat ed with changes of hematological, biochemical, immune and hormonal parameters. Physical activity has variable effects on the hematological parameters, depending on exercise duration and intensity (short-term high intensity or maximal exercise and long-term low intensity or submaximal prolonged exercise), fitness and training l eve s and environmental conditions. The aim of this study was to appraise the al t r tions in hematological indices and osmotic resistance of erythrocytes of endurance horses during 32 km races in Crimean region. The prolonged exercise were used in endurance race. Walk about 3 km/h for 20 min, the trot about 7 km/h for 23 min , the canter about 5 km/h for 10 min), and the walk about 1 km were repeated for 1 h (phas e I); the resting period in an outdoor paddock without access to water was 30 min. Phase II was consisted of the walk about 3 km/h for 20 min, the trot about 7 km/h for 23 min, the canter about 5 km/h for 10 min), and the walk about 1 km. It was repeat ed for 1 h. Blood was drawn from jugular veins of the animals in the morning, 9 0 minutes after feeding, while the horses were in the stables, and immediately after e ndurance race. The hematological indices [haematocrit (HCT), haemoglobin concentrati on (HGB), the count of red blood cells (RBC), white blood cells (WBC), platele ts (PLT), leucogram, mean cor-
REDUCED-ORDER MACROMODEL EXTRACTED FROM THE FREQUENCY DOMAIN SIMULATOR OF PASSIVE ON-CHIP COMPONENTS

This paper focuses on the path from a frequency response obtained from the electromagnetic modeling of a passive device, towards the synthesis of a circuit described as a net-list (in SPICE language). Such an approach was implemented in the frame of the FP5/IST/Codestar European project, which referred to the compact model extraction for passive on-chip components and interconnects. The software implemented was compared with EMtoSPICE, which is commercial software that does the same task
Full-viewpoint 3 D Space Object Recognition Based on Kernel Locality Preserving Projections

Space object recognition plays an important role in spatial exploitation and surveillance, followed by two main problems: lacking of data and drastic changes in viewpoints. In this article, firstly, we build a three-dimensional (3D) satellites dataset named BUAA Satellite Image Dataset (BUAA-SID 1.0) to supply data for 3D space object research. Then, based on the dataset, we propose to recognize full-viewpoint 3D space objects based on kernel locality preserving projections (KLPP). To obtain more accurate and separable description of the objects, firstly, we build feature vectors employing moment invariants, Fourier descriptors, region covariance and histogram of oriented gradients. Then, we map the features into kernel space followed by dimensionality reduction using KLPP to obtain the submanifold of the features. At last, k-nearest neighbor (kNN) is used to accomplish the classification. Experimental results show that the proposed approach is more appropriate for space object recognition mainly considering changes of viewpoints. Encouraging recognition rate could be obtained based on images in BUAA-SID 1.0, and the highest recognition result could achieve 95.87%.
A classification method for noisy video PPG signals detection

Hear rate monitoring is essential to keep track of health conditions and electrocardiograph (EKG) is the most normal procedure used to acquire heart rate information. Its application has some limitations but advancement in technology in the past years have expanded the possibility of signal acquisition. Photoplethysmographic PPG sensors integrated in wearable devices such as smart watches and phones are used nowadays to provide convenient way to measure heart rate activities. Photoplethysmography determines the cardiac cycles via continuous monitoring of changes in blood volume in a portion of the peripheral microvasculature. The latest method to measure heart rate signal is without contact, through video PPG. This method expanded the possibility of biomedical implementations in daily life but has a lot of components to be improved.
Title Targeting choroid plexus epithelia and ventricular ependyma for drug delivery to the central nervous system

Background: Because the choroid plexus (CP) is uniquely suited to control the composition of cerebrospinal fluid (CSF), there may be therapeutic benefits to increasing the levels of biologically active proteins in CSF to modulate central nervous system (CNS) functions. To this end, we sought to identify peptides capable of ligand-mediated targeting to CP epithelial cells reasoning that they could be exploited to deliver drugs, biotherapeutics and genes to the CNS. Methods: A peptide library displayed on M13 bacteriophage was screened for ligands capable of internalizing into CP epithelial cells by incubating phage with CP explants for 2 hours at 37C and recovering particles with targeting capacity. Results: Three peptides, identified after four rounds of screening, were analyzed for specific and dose dependant binding and internalization. Binding was deemed specific because internalization was prevented by co-incubation with cognate synthetic peptides. Furthermore, after i.c. v. injection into rat brains, each peptide was found to target phage to epithelial cells in CP and to ependyma lining the ventricles. Conclusion: These data demonstrate that ligand-mediated targeting can be used as a strategy for drug delivery to the central nervous system and opens the possibility of using the choroid plexus as a portal of entry into the brain.
Application of Cointegration Testing Method to Condition Monitoring and Fault Diagnosis of Non-Stationary Systems 1

This paper introduces cointegration testing method for monitoring multivariate non-stationary processes. Compared with Box-Jenkins models, cointegration testing method is able to model long-run equilibrium relationships and circumvent the effect of forecast recovery. Cointegration has been successfully utilised to describe such relationships in economics systems, which are non-stationary in nature. Cointegration method can identify a stationary process using a linear combination of the non-stationary processes. This stationary process describes a long-run equilibrium relation between the non-stationary process variables, which provides a possibility to apply the cointegration testing method to the modelling and monitoring of engineering systems. A simulation example from the literature shows the capabilities and benefits of cointegration testing method for monitoring non-stationary processes. Copyright © 2006 USTARTH
The Effect of Interference on Bluetooth Data Exchange over WLAN

The paper focuses on studying Bluetooth Wireless Personal Area Network (WPAN) and Wireless Local Area Network (WLAN) technologies to make Bluetooth data exchange over WLAN applicable. In particular, it addresses the problem of using WLAN coverage area to exchange data between two Bluetooth devices connected to different piconets. To achieve this goal, we propose a new approach of Bluetooth-WLAN integration taking in account the effect of Interference. Problem arising from this integration can be solved using two approaches. Hardware solution when an electronic design for a hardware chip can be offered to support WLAN and the Bluetooth data exchange technologies between two wireless networks. Such chip would be good enough to work as fast as possible but it will suffer from incompatibility with the current technologies such as Mobile phones, PCs, and laptops. The second approach is the software solution when software development for WLAN-WPAN integration can maintain the capabilities of current devices for both technologies. The work proposes different simulation Models developed to simulate the integration process, to study the effect of interference in different locations in Bluetooth-WLAN Integrated Network (BWIN). Simulation results show the ability of data exchange over WLAN considering architecture and interfering aspects. Key-Words: Bluetooth, WLAN, Integrated network, interference, data exchange.
Constructing an International Marathon Participants ’ Behavioral Model in Taiwan

This purpose of this study was to construct a participative behaviour model for sports tourists. The subject of the study was marathon runners’ from the International Taroko Gorge Marathon and the reserachers’ used purposive sampling as the sampling method. A total of 446 surveys were issued, and 363 valid surveys were returned. The effective rate was 81.3%. All collected data were analyzed by descriptive statistics, confirmatory factor analysis, and structural equation modelling. The results were as follow. Firstly, the participative behaviour model constructed in this study fitted in well in statistics. Secondly, sports tourism attraction and sports event images have a significant influence and effect on the participative motivation of sports tourists. Finally, participative motivation and participative satisfaction have significant influences and an effect on the loyalty of sports tourists. In conclusion, the sports tourism attraction and sports event image have a significant influence on the participative motivation of sports tourists and enhance the willingness to recommend and repeat participation in the sports event. Based on the above results, this study provided some practical suggestion for related sports event units and suggest directions for future research initiatives.
Recovery Behaviors of Silica-Reinforced SBR Vulcanizates Using Circular Deformation Test

We introduced a new test method, the circular deformation method which changing a linear sample to a circular form by fixing the both ends with a pin, to investigate recovery behaviors and level of the permanent set of a rubber vulcanizate by thermal aging. The pin was removed after the thermal aging, and the gap distance between both ends of the sample was measured. The recovery increased as the measuring time elapsed. The instantaneous recovery less than 0.1 s could be obtained from the extrapolation method. Influence of the 1,2-unit content on the recovery behaviors of silica-filled SBR vulcanizates was also investigated. The SBR specimen with the higher 1,2-unit content had faster recovery behaviors than that with lower one. The silica-filled SBR vulcanizates containing the silane coupling agent had higher recoveries than those without the coupling agent irrespective of the 1,2-unit contents. The experimental results were explained with the crosslink density and the filler-polymer interactions. The instantaneous recovery at 0.09 s became larger as the crosslink density of the sample increased.