Miracle-dz/UniFAR-FTUs huggingface dataset:
Compensator Design for the Monodomain Equations

The problem of finite-dimensional compensator design for the monodomain equations is investigated. Exponential stabilizability and detectability of the linearized infinite-dimensional control system is studied. It is shown that the system is not exactly null-controllable but still can be exponentially stabilized by finite-rank input and output operators provided the desired stability margin is small enough. Based on existing results on model order reduction of infinite-dimensional systems, a finite-dimensional compensator is obtained by LQG-balanced truncation. The compensator is shown to be locally stabilizing for the infinite-dimensional nonlinear control system. Examples motivated by cardiophysiology are used to illustrate these results in a numerical setup. 1991 Mathematics Subject Classification. 35K57, 93B52, 93C20, 93D15. The dates will be set by the publisher.
’ s repository of research publications and other research outputs Meeting the needs of disabled students in online distance education – an institutional case study from The Open University , UK Journal Item

This paper reviews the evolution of the access provision and support for disabled students studying at The Open University (OU) in the UK. It is intended as a case study from which other institutions offering distance learning can draw. The paper introduces the OU context and recounts the history of the development of provision for disabled students since 2000; that is, over the period that distance education has moved increasingly online. The educational, social justice and legal drivers for this are considered. A detailed description is given to a cross-university programme called “Securing Greater Accessibility (SeGA)” instigated in 2010 that has sought to coordinate the various activities and clarify responsibilities for accessibility across the institution. SeGA has sought to embed accessibility in business-as-usual practice and not consider provision for disabled students as a bolt-on extra. A summary is made of some of the guidance developed by SeGA on making online teaching and learning accessible to all, including students with disabilities. A brief note on current research activities at The Open University relating to accessibility is given.
Edinburgh Research Explorer Software Requirements as an Application Domain for Natural Language Processing

Mapping functional requirements ﬁrst to speciﬁcations and then to code is one of the most challenging tasks in software development. Since requirements are commonly written in natural language, they can be prone to ambiguity, incompleteness and inconsistency. Structured semantic representations allow requirements to be translated to formal models, which can be used to detect problems at an early stage of the development process through validation. Storing and querying such models can also facilitate software reuse. Several approaches constrain the input format of requirements to produce spec-iﬁcations, however they usually require considerable human eﬀort in order to adopt domain-speciﬁc heuristics and/or controlled languages. We propose a mechanism that automates the mapping of requirements to formal representations using semantic role labeling. We describe the ﬁrst publicly available dataset for this task, employ a hierarchical framework that allows requirements concepts to be annotated, and discuss how semantic role labeling can be adapted for parsing software requirements.
Carbon Emissions and Sequestration from Fertilization of Pine in the Southeastern United States

We estimated net carbon emission and sequestration directly attributable to common forest fertil- ization practices for pine plantations in the southeast United States. We used data from the literature to estimate the carbon emissions associated with the production, transportation, and application of fertilizers used for mid-rotation and early rotation applications as well as the stem wood growth response to these applications. These data were scaled to a regional basis with data from the literature and newly acquired fertilizer application information. Product disposition projections were completed through 125 years (five 25-year rotations). On average, application of nitrogen with 28 kg of elemental phosphorus ha 1 to mid-rotation stands sequestered 19.2 Mg ha 1 carbon dioxide (CO2) equivalents as additional stem growth per CO2 equivalent of emissions associated with the fertilizer application. Maximum combined emissions from forest fertilization were 0.34 Tg year 1 CO2 equivalents in 2002, whereas maximum sequestration was 8.70 Tg year 1 CO2 equivalents in 2007. Sequestration lagged emissions because of the long (up to rotation length) stem wood growth response period. After 100 years, approximately 38% of the CO 2 equivalent sequestration attributed to mid-rotation fertilization would still be in use or in a landfill, whereas 26% would have been emitted without capturing energy and 36% would have been used as an energy source. Carbon sequestration associated with forest fertilization was related to the area fertilized annually, which may have fluctuated with fertilizer material and wood product prices. Capturing economic value from the sequestered carbon would likely increase forest fertilization and conse- quently increase carbon sequestration. FOR . S CI. 58(5):419-429.
Long-term performance and durability of Ir/B4C multilayer x-ray mirrors: focusing on composition, structure, and reflectivity properties

Abstract. Multilayer (ML) thin film coatings have shown promise in achieving hard x-ray nanofocusing with high reflectivity and high resolution. The chemical, structural, and long-term stability of Ir/B4C MLs, which are of great interest to the synchrotron and astrophysics communities, are not yet fully understood. The evolution of the x-ray performance of Ir/B4C ML mirrors was monitored over 5 years, and the chemical and structural properties were investigated in depth. Reflectivity scans reveal significant alteration in the energy range of 3.4 to 10 keV over this period. Furthermore, thickness and density degradation of B4C layers were observed in scanning electron transmission microscopy results. The oxidation of B4C occurs only for the top layers, whereas the buried B4C layers go through various complex chemical modifications. The x-ray reflectivity model of Ir/B4C structure was modified, based on the experimental findings, and resulted in good understanding of the long-term reflectivity performance of the x-ray mirror coatings.
Deep Residual Time-Series Forecasting: Application to Blood Glucose Prediction

Improved forecasting of blood glucose could aid in the management of diabetes. Recently proposed neural network architectures that use stacked fully connected layers with residual backcast-ing have achieved state-of-the-art performance on benchmark time-series forecasting tasks. Though promising, previous work ignores opportunities for additional supervision, and the use of fully connected layers fails to account for the temporal nature of the signal. Here, we propose a new architecture that builds on previous work by learning to forecast gradually in stages or blocks. Our updates include replacing the fully connected block structure with a recurrent neural network and adding additional losses to provide auxiliary supervision. In addition, we leverage important context in the form of additional input signals. Applied to the task of glucose forecasting, we ﬁnd that each of these modiﬁcations offers an improvement in performance. On the task of predicting blood glucose values 30 minutes into the future, our proposed approach achieves a mean rMSE of 18.2 mg/dL, versus 21.2 mg/dL achieved by the baseline. These improvements get us closer to predictions that are reliable enough to be used in CGMs or insulin pumps to manage diabetes.
In vitro Shoot Multiplication in Physalis minima var. Indica L

Apical shoot buds were taken from in vitro germinated seedlings of Physalis minima. var. indica L. These were placed aseptically on MS (Murashige and Skoog,1962),B5 (Gamborg,1968)basal medium and supplemented with auxins and cytokinins alone. Maximum healthy shoot buds(100 percent) were obtained on MS medium supplemented with 0.5 mgl-1BAP (6benzyl amino purine) but length of shoot buds was more on (1.0,2.0 mgl-1) Kinetin. Multiplied shoots were transferred for rooting on MS and B5 basal medium and supplemented with auxins (IAA or IBA). Rooting was achieved in 100 percent explants on MS medium supplemented with all the levels of IAA and IBA.Higher root length (11.5+0.50cm) was observed in shoots incubated on 0.5mgl-1 IAA.
On the Transferability of Deep Neural Networks for Recommender System

Recommender system is an essential component in many practical applications and services. Recently, significant progress has been made to improve performance of recommender system utilizing deep learning. However, current recommender systems suffers from the longstanding data sparsity problem, especially in domains with little data. With the ability to transfer knowledge across domains, transfer learning is a potential approach to deal with the data sparsity problem in recommender system. In this paper, we carry out an investigation on the transferability of deep neural networks for recommender system. We show that network-based transfer learning can improve recommendation performance on target domains by up to 20%. In addition, our investigation reveals that transferring the layers close to the output leads to better transfer performance. The transfer performance is also found to be dependent on the similarities between data distributions of the source and target domains. Meanwhile, target domain characteristics such as size and sparsity have little impacts on the transfer performance.
Managing renewable resources via Collective Intelligence

EXTENDED ABSTRACT In a recent set of work (Boschetti, 2007; Brede et al, 2007; Brede and De Vries, 2007) we have explored the potential for porting tools originally developed for the optimisation of multi-agents engineering systems (Wolpert and Tumer, 2001; Wolpert et al, 2004) into resource management modelling. These tools were designed to minimise interference between system components which may arise in system optimisation, as can be found in data communication problems and aerospace engineering (Bieniawski et al, 2004; Wolpert et al, 2000; Wolpert and Tumer, 1999).
Comparative Evaluation of Four Different Remineralising Toothpastes on the Microhardness and Stain Susceptibility of Bleached Enamel Surface: An In Vitro Study

Introduction: Hydroxyapatite is the crystalline form of calcium and phosphorus found in the enamel, dentin, cementum, and bone. Bleaching is a common procedure and has been known to alter the enamel matrix because of the strong oxidizing effect of hydrogen peroxide and can cause significant mineral loss and decrease in surface hardness. It creates surface porosities making it more susceptible to stains. The microscopic loss of tooth structure resulting from this procedure is reversible, and remineralization can be attempted. The study aimed to compare the effectiveness of four different remineralising toothpastes in increasing enamel microhardness and making the enamel less susceptible for stains. Materials and method: Freshly extracted premolars were cut sagittally and reduced into fragments measuring 4mm X 4mm. These were impregnated in self cure acrylic resin with the buccal surface of the crown facing upwards. Specimens were kept in artificial saliva to prevent dehydration. Teeth were randomly divided into six groups. 30-40% Hydrogen peroxide will be used to bleach the teeth in group B, C, D ,E and F. Teeth in group C(n=12) were treated with Gc tooth mousse,Teeth in group D (n=12) were treated with Enafix, teeth in group E(n=12) were treated with Aclaim, teeth in group F (n=12) were treated with Vantej daily for seven days . All 6 groups were checked for microhardness of enamel surface. Specimen subjected to microhardness were further checked for dye uptake . Teeth were immersed in a 2% methylene blue solution. Afterwards, specimens were dissolved in nitric acid and prepared for the spectrophotometric analysis. Result: The mean microhardness values in descending order: Positive control > Aclaim > GC Tooth mousse > Enafix > Vantej > Negative control. The mean stain uptake values in descending order: Negative control > Unbleached > GC tooth mousse > Vantej > Enafix > Aclaim. Conclusion: All remineralizing agents showed improved surface mineralization. Out of all the agents Aclaim exhibited the highest surface remineralisation and made the samples least susceptible to stains.
TECHNICAL EFFICIENCY OF DAIRY FARMS IN CENTRAL KOSOVO

Kosovo has the key resources needed for a developed agriculture. However, Kosovo’s agriculture consists of very small farms which are featured with the fragmentation of their land, old buildings and equipment, though functional. Ministry of Agriculture (MAFRD) started to support farmers with direct payments in 2009, but only for a few agricultural cultures. Support for dairy cows started in 2012, and support for milk quality started in 2014. In this context, the purpose of this paper is to accurately portray the characteristics, and technical efficiency of dairy farms in Central Kosovo, respectively in the region of Pristina beneficiaries of direct payments for milk quality. Consequently, through data envelopment analysis, under variable return to scale using output orientation, the efficiency rate of dairy farmers is calculated. Therefore, findings show that not all the farms are fully efficient, or fully utilizing their assets and their inputs. Additionally, the study revealed that the size of the farm, and the feeding system affect the TE. Therefore, large-size farms and farms who used seasonal grazing had overall higher TE. However, the level of education does not have a significant effect on the farm’s efficiency.
INFLUENCE OF SOCIO-DEMOGRAPHIC CHARACTERISTICS, FINANCIAL LITERACY AND MOOD ON FINANCIAL RISK TOLERANCE

The Purpose- Risk is an inherent element of any kind of financial investment instruments. The aim of this study is to determine the factors affecting financial risk tolerance of the individuals. Additionally, this study analyses the role of mood in the financial risk tolerance. Data and Methodology- Data were collected using a survey questionnaire. 588 questionnaires were completed and used for analysis. This study employs an ordered logit model (OLM) to validate and assess proposed research model. Results- According to the results of the study, there is a statistically positive and significant relationship between both positive emotional state and age and financial risk tolerance. On the other hand, there is no significant relationship between gender, income, having children, financial literacy and financial risk tolerance. The results of this study indicate that the moment of decision making is important because of risk tolerance of individuals is affected by positive emotional state as well as age. Conclusion– This study shows that both financial knowledge and positive mood are strong determinants of financial risk tolerance. Surprisingly, there is no relation between gender, income level, having children, financial literacy level and the dependent variable financial risk tolerance level. Financial risk tolerance which shapes financial decision making process is influenced by the individual's biopsychosocial and environmental factors rather than rational choice theory.
Modeling and forecasting maize yield of India using ARIMA and state space models

Time series modeling using Autoregressive Integrated Moving Average (ARIMA) and state space (SS) models, was developed for individual univariate series of maize yield in India. In ARIMA modeling, the underlying parameters are assumed to be constant however the data in agriculture are generally collected over time and thus have the time-dependency in parameters. Such data can be analyzed using SS procedures by the application of Kalman filtering technique. The aim of this study was to evaluate univariate time series methods to forecast the maize yield in India. ARIMA (0, 1, 1) model was found to be appropriate but the SS model with lower error metrics showed the superiority over ARIMA model for this empirical study. The performances of the models were validated by comparing with the observed values.
Swedish multiword expressions and sublanguage parsing – (WG 2 [1,4,3])

: Multilayer, linguistic annotation of textual corpora (in specialized fields) is important for empirically-based, data-driven language processing and human language technologies. One such annotation is at the syntactic and functional level, i.e. parsing, which apart from the challenge it possesses (usual, deviant and idiosyncratic uses of vocabulary and syntax) is often required as a supporting technology in e.g., information extraction/retrieval, terminology management and knowledge acquisition. Moreover, in several sublanguages, where specialized processing tools have to be adapted which is considered too expensive for many applications and/or languages, means for reducing parsing complexity needs to be explored [5]. We have experimented with means of reducing parsing complexity in a Swedish scientific medical discourse setting. Parsing performance (for a specific task, see below) could be improved by applying a number of pre-processing steps, based on various types of multiword expressions (MWE), guided by the annotations provided by domain-specific lexica, named entity recognition (NER), and the identification of compound function words. The experiment we did used finite-state cascades [1], constituent based shallow parsing, applied on a sample of a Swedish medical text sample. Evaluation was calculated on the extraction of the syntactic relations Subject and Object . Prior to the evaluation, the parser was made aware of both the shallow semantic annotations from various domain-specific medical resources, the multiword expressions, both terminological ones and the ones obtained from the hybrid NER component as well as the compound function words. The basic terminological resource used was the Swedish Systematized Nomenclature of Medicine – Clinical Terms
Transmission Line Congestion Management using Hybrid Fish-Bee Algorithm with IPFC

- There is a widespread changeover in the electrical power industry universally from old-style monopolistic outline towards a horizontally distributed competitive structure to come across the demand of rising consumption. When the transmission lines of derestricted system are incapable to oblige the entire service needs, the lines are overloaded or congested. The governor between customer and power producer is nominated as Independent System Operator (ISO) to lessen the congestion without obstructing transmission line restrictions. Among the existing approaches for congestion management, the frequently used approaches are reorganizing the generation and load curbing. There is a boundary for reorganizing the generators, and further loads may not be supplemented with the prevailing resources unless more ivate power producers are added in the system by considerably raising the cost. Hence, congestion is relaxed by appropriate Flexible AC Transmission Systems (FACTS) devices which boost the existing transfer capacity of transmission lines. The FACTs device, namely, Interline Power Flow Controller (IPFC) is preferred, and the correct placement of IPFC is more vital and should be positioned in the highly congested line. Hence, the weak line is identified by using power flow performance index with the new objective function with proposed hybrid Fish – Bee algorithm. Further, the location of IPFC at appropriate line reduces the branch loading and minimizes the voltage deviation. The power transfer capacity of lines is determined with and without IPFC in the identified congested line of IEEE 30 bus structure and the simulated results are compared with prevailing algorithms by placing UPFC and IPFC. It is observed that the transfer capacity of existing line is increased with the presented algorithm and thus alleviating the congestion.
Zero energy cool chamber for food commodities: Need of eco-friendly storage facility for farmers: A review

Much of the post-harvest losses of fruits and vegetables in developing countries is due to the lack of proper storage facilities. While refrigerated cool stores are the best method of preserving fruits and vegetables they are expensive to buy and run. Consequently, in developing countries there is an interest in simple low-cost alternatives, many of which depend on evaporative cooling which is simple and does not require any external power supply. India is the second largest producer of fruits and vegetables in the world after Brazil and China respectively. Storage of fresh horticultural produce after harvest is one of the most pressing problems of a tropical country like India. India’s total fruits and vegetables production is lost during harvest, storage, grading, transport, packaging and distribution in a year which reduces the growers share. Due to their highly perishable nature, about 20-40% of total fruit and vegetable production go waste during various steps of the post-harvest chain, smooth transport and insufficient cool storage space / facility at farmer’s level and high cost of refrigerated storage so further enhances loss of fruits and vegetables. Temperature and humidity play major role in storage of fruits and vegetables Temperature can be controlled by using energy consuming methods such as air-cooling, hydro-cooling, vacuum-cooling, chilling, ice cooling, freezing, etc.
Screening , isolation , characterization and strain improvement of Streptomyces indicus GAS-4 S cience Indian Journal of

Out of 18 actinomycetes isolates from our sample collection at various places i.e.; Prakasam, Khammam and Guntur districts in Andhra Pradesh which showed good proteolytic (caseinolytic and gelatinolytic) activity, 3 isolates (GAS-4, 10, 11) were selected based on their macroscopic characters, eliminating those that appeared close to each other. Secondary screening was performed on these 3 isolates using different production mediums and the results showed that GAS-4 was the best protease producer. Determination of type of protease produced by GAS-4 was carried out and it was found as alkaline protease. Identification and Characterization of GAS-4 was done and it was identified as Streptomyces indicus. Further strain improvement studies were carried out on GAS-4. UV-irradiation of GAS-4 resulted in high alkaline protease producing mutant UVA8.By exposing UVA8 to nitrous acid HNB7 mutant having higher alkaline protease was obtained.
REVISITING THE RELATIONSHIP BETWEEN GOVERNANCE QUALITY AND ECONOMIC GROWTH

This study provides evidence on the relationship between governance quality and economic growth. We use the six Worldwide Governance Indicators (WGI) published by the World Bank and a sample of 29 countries (23 developed countries and 6 emerging economies) covering the period. To account for the potential endogeneity problem, we employ panel GMM estimators. The analysis proceeds in three stages. Firstly, we examine the effect of these six governance indicators on economic growth for the whole sample. Next, we apply a principal component analysis (PCA) to these indicators to construct a global governance index (GGI) and test its impact on economic growth. Finally, to examine the effect of the GGI on economic growth in emerging economies relative to developed countries, we introduce an interaction dummy variable. The results show a positive relationship between governance quality and economic growth in both developed and emerging economies. Moreover, the contribution of the GGI to the economic growth of emerging economies is more than that of developed ones.