Miracle-dz/UniFAR-FTUs huggingface dataset:
Information Retrieval Based on Knowledge-Enhanced Word Embedding Through Dialog: A Case Study

The aim of this paper is to provide a systematic route of information retrieval from a knowledge-based database (or domain knowledge) through a dialog system of natural language interaction. The application is about a comprehensive building at a university, with classrooms, laboratory rooms, meeting rooms, research rooms and offices, and is to present related information the user asks for. First, the domain knowledge is expressed with predicate expressions based on the ontology structure; then the vocabulary is presented distributedly with word embedding enhanced with the domain knowledge; queries from the user are then converted into the intent (general) and slot elements (specific) with the help of trained recurrent neural network (RNN). The system works smoothly. The key point is integrating the two methods of knowledge-based and data-driven natural language processing into one system, and the domain knowledge is in the central part which is incorporated into the word embedding to make it specifically fit the natural language in this application.
Volumetric SAR near‐field upsampling and basebanding

Highly sampled imagery offers many benefits to the radar practitioner, ranging from easier image coregistration to simple visual appeal. However, it is often overlooked due to the computational burden forming such an image imposes. Fast image formation typically imposes restrictions on the imaging scenario, e.g. synthetic aperture radar (SAR) far-field, and exploits parallelism through the use of modern multi-core architecture. Imposing a SAR near-field requirement on the image formation limits the applicability of several faster algorithms, thus there is a need to create a general process to achieve highly sampled imagery, regardless of the imaging regime. In this Letter, a method for accurately upsampling near-field (SAR) imagery is presented. This is applicable to both SAR near-field and SAR far-field scenarios. The methodology is discussed, and an example is provided in the form of a SAR near-field volumetric image of a miniature tank. The limitations to the approach are discussed and prospects for future work given.
Metadata of the chapter that will be visualized in SpringerLink

For face recognition, conventional dictionary learning (DL) methods have disadvantages. In the paper, we propose a novel robust, discriminative and comprehensive DL (RDCDL) model. The proposed model uses sample diversities of the same face image to make the dictionary robust. The model includes class-specific dictionary atoms and disturbance dictionary atoms, which can well represent the data from different classes. Both the dictionary and the representation coefficients of data on the dictionary introduce discriminative information, which improves effectively the discrimination capability of the dictionary. The proposed RDCDL is extensively evaluated on benchmark face image databases, and it shows superior performance to many state-of-the-art sparse representation and dictionary learning methods for face recognition.
The Archipelago of Cultural and Creative Industries: A Case Study of the Basque Country

The cultural and creative industries (e.g., digital/audiovisual content, publishing and print media, etc.) constitute an emerging business sector focused on aligning cultural and creative production with profitability and market criteria that encompasses a diverse range of entities, generates employment, boosts GDP (Gross Domestic Product) and drives innovation. This paper analyses the impact of the cultural and creative industries on the economy of the Basque Country and provides information concerning the number of companies present in this sector, their legal structures, annual turnovers, size in terms of the number of people they employ and relative ability to secure public funding for entrepreneurial support and creative projects. Our findings indicate that businesses of this nature in the Basque Country form an ecosystem similar to an archipelago in which companies with a strong entrepreneurial focus, high annual turnovers and a national and international clientele coexist alongside smaller, less profit-oriented organisations devoted to regional cultural development.
Overexpression of a stilbene synthase gene from Fallopia multiflora causes trans-piceid accumulation in transgenic Arabidopsis

Fallopia multiflora, also known as Polygonum multiflorum, is a traditional Chinese medicine with stilbenes as the main characteristic components. We previously isolated the presumed stilbene synthase gene FmSTS1 from F. multiflora and inserted the FmSTS1 gene into the genome of Arabidopsis thaliana under the control of cauliflower mosaic virus 35S promoter to evaluate its biological functions. Southern blot and Northern blot analyses were performed to confirm the integration and expression of FmSTS1 in Arabidopsis. A new stilbene compound, which was identified as trans-piceid, was found to accumulate in the transgenic Arabidopsis. This study firstly reportsFmSTS1 from F. multiflora that was heterologously expressed in transgenic Arabidopsis and resulted in the accumulation of trans-piceid, which was originally not synthesized in Arabidopsis species.
Method for Estimating Clutter Limited Geosynchronous Synthetic Aperture Radar Performance

This paper reviews the Geosynchronous Synthetic Aperture Radar (GeoSAR) literature and highlights a gap in land clutter theory. The gap concerns clutter models with weather dependence for incidence angles between 20 and 70 degrees. We update with an improved clutter model the System Performance method presented at IGARSS 2016 to estimate the SAR system performance taking into account the weather statistics and the landcover of the target area. The performance statistics obtained with this method allow to estimate the fraction of time (e.g. percentage of a month) in which the SAR system can accomplish the user’s requirement. So far the method has been developed for short vegetation (specifically wheat), as source of clutter, and for bare land and urban area as other target areas. A full clutter model is still under development, but results are presented for the weather dependence of the coherent fraction of the scattered power. Since the azimuth spread of clutter power for GeoSAR can exceed the beam footprint in strong weather conditions, we expect improved image quality in these conditions. Two example of the effect of different clutter power Probability Density Function are briefly presented.
“Environmental Assessment and Sustainable Development of Valsequillo in Puebla, Mexico”

The results presented in this article were generated from the southern Puebla City, Mexico in Valsequillo Dam which was studied for environmental assessment during 2009. We are proposing an environmental strategy plan for recovery and subsequent improvement for sustainable development. The environmental problems in the study area can be resolved through the following environmental strategies for achieving a sustainable development in the area: 1) by reducing the load of pollutants discharged by urban industries; 2) the water quality in Valsequillo Dam, can be improved and it can be utilized in different applications; 3) wastewater from communities less than 1,000 inhabitants can be recycled for future use; 4) a plan for restoration and conservation of soil can be made so that it can be used for recreational activities; 5) the conservation areas can be protected (ANP and volcano) 6) a program to promote recovery and recycling of materials generated from the municipal solid waste can be done; 7) the macroplantas sludge from wastewater treatment of Alseseca south and south Atoyac rivers can be removed.
Hyperthermia has Consistently Improved the Efficacy of Radiotherapy and Chemotherapy for Many Types of Cancers

Cancer stem-like cells (CSCs) are a subset of cancer cells that are resistant to conventional radiotherapy and chemotherapy. As such, CSCs have been recognized as playing a large role in tumor initiation and recurrence. Although hyperthermia is broadly used in cancer treatment either alone or in combination with radio- or chemo-therapy, its potential to target CSCs is not well understood. In this review, we discuss different types of hyperthermia and potential mechanisms of action in cancer treatment, particularly in regards to killing CSCs.
Data Mining in Clinical Practices Guidelines

- This paper proposes text mining of clinical practices to extract decision-making steps. These steps should be formed in-logical functions capable of branching on different plan set on some deciding variables. The probable action sequence will be notified on the data of patient given to the conditions of clinical guideline and this will also give critical conditions that need immediate attention. In this project medical grammar rules are applied to extract key decision making steps from the clinical guidelines. In the first step lexical analysis is performed to key-words like ‘if this then perform this, all the medical terms will be identified and this extracted rule set will be used to create a XSLT file. The patient data in form of an XML file will be then applied to the XSLT transformations or rule sets to derive final result of action plan specific to that patient
Running Head: PERCEPTIONS OF SITUATIONS FROM THE TAT 6/22/2013-Article “in press” at Journal of Research in Personality Personality and Perceptions of Situations from the Thematic Apperception Test

Participants (N = 186) viewed three pictures from the Thematic Apperception Test (TAT; Murray, 1938) and rated the situations contained therein using a new measure of situations, the Riverside Situational Q-Sort (RSQ; Wagerman & Funder, 2009). Results support a twocomponent view of situation perception: an objective component attributable to the situation being perceived and a subjective component attributable to the person doing the perceiving (Murray, 1938; Rauthmann, 2012; Sherman, Nave & Funder, 2013; Wagerman & Funder, 2009). Further, distinctive perceptions of situations were consistent across pictures and were associated with the Big Five personality traits, particularly Neuroticism and Openness, in a theoretically meaningful manner. These results provide support for perception as a core process for how personality traits work.
An Ontology Driven ESCO LOD Quality Enhancement

The labor market is a system that is complex and difficult to manage. To overcome this challenge, the European Union has launched the ESCO project which is a language that aims to describe this labor market. In order to support the spread of this project, its dataset was presented as linked open data (LOD). Since LOD is usable and reusable, a set of conditions have to be met. First, LOD must be feasible and high quality. In addition, it must provide the user with the right answers, and it has to be built according to a clear and correct structure. This study investigates the LOD of ESCO, focusing on data quality and data structure. The former is evaluated through applying a set of SPARQL queries. This provides solutions to improve its quality via a set of rules built in first order logic. This process was conducted based on a new proposed ESCO ontology.
ULTRASOUND-ASSISTED SYNTHESIS OF MAGNETITE NANOPARTICLES BY CO-PRECIPITATION METHOD

The conventional co-precipitation method of the synthesis of magnetite (Fe3O4) nanoparticles has been procedurally and ultrasonically altered. The effects of NH3 solution adding paths to the precursor solution, and ultrasonic assistance were indicated and demonstrated through specific experiments. Suggested explanations for observed phenomena were provided. Characteristic information has proved the enhanced performance of the alternative procedure. The magnetite nanoparticles possess a uniform nano-crystallised spherical morphology, narrow small-sized distribution (10 nm), high magnetisation (57.7 emu·g-1), and negligibly low coercivity (5 Oe).
Effect of Demineralized Dentin Matrix Graft alone and Combined with Statin or Propolis on Bone Repair in Rabbits’ Tibia

Background: Demineralized dentin matrix (DDM) is a biologically active tissue could stimulate new bone tissue formation then resorbed during the bone remodeling process. Aim: The aim of the present study was to evaluate the effect of demineralized human dentin matrix graft alone and when combined with Statin or Propolis on bone repair in rabbits’ tibia. Materials and Methods: Thirty adult male rabbits (weight 2 to 2.5 kg) were used in this study. In each rabbit four holes were created (two in each tibia), one was left empty as control, the second was packed with DDM slices, the third was packed with DDM slices saturated with statin and the fourth was packed with DDM mixed with propolis. The animals were sacrificed at 2, 4 and 6 weeks postoperatively and the bone specimens were processed for histomorphometric analysis and scanning electron microscopic examination. Results: Histomorphometric analysis showed significantly high mean bone area for DDM/Statin group followed by DDM group then DDM/Propolis group then control group. SEM findings were supportive to these results. Conclusions: It was concluded that the DDM was profound and biocompatible material for bone repair. Addition of Statin promotes bone repair process while Propolis retards bone repair especially in early stages.
The assessment of earthquake-triggered landslides
susceptibility with considering coseismic ground
deformation

Abstract. The distance to the surface rupture zone has been commonly regarded as an important influencing factor in the evaluation of earthquake-triggered landslides susceptibility. However, the obvious surface rupture zones usually do not occur in some buried-fault earthquakes cases, which mean lacking of the information about the distance to the surface rupture. In this study, a new influencing factor named coseismic ground deformation was added to remedy this shortcoming. The Mid-Niigata prefecture earthquake was regareded as the study case. In order to select a more suitable model for generating the landslides susceptibility map, three commonly used models named Logistic Regression (LR), Artificial Neural Networks (ANN) and Support Vector Machines (SVM) were also conducted to assess the landslides susceptibility. The performances of these three models were evaluated with the receiver operating characteristic (ROC) curve. The calculated results showed the ANN model has the highest AUC (area under the curve) value of 0.82. As the earthquake triggered more landslides in the epicenter area, which makes it more prone to landslides in further earthquakes, the landslides susceptibility in the epicenter area was also further evaluated.
Structural and surface modification of highly ordered alumina for enhanced removal of Pb2+, Cd2+ and Ni2+ from aqueous solution

The adsorption performance of three-dimensionally ordered macroporous (3DOM) alumina doped with iron oxide, and subsequently modified with (3-aminopropyl)triethoxysilane (APTES), FeAl2O3 and FeAl2O3APTES, was used for enhanced Pb2+, Cd2+ and Ni2+ removal. The phase composition and the structural and surface/textural properties of the obtained adsorbents were analyzed by X-ray diffraction analysis, field emission scanning electron microscope, energy dispersive X-ray analysis, thermogravimetry, Fourier-transfer infrared spectroscopy, specific surface area of the samples and point of zero charge determination. Adsorption of selected cations was examined in the batch conditions using different contact time, adsorbent dosage and temperatures. Different models of the adsorption isotherms were used for determination of the adsorption capacities, in which the best fit of Freundlich and Langmuir model was obtained for FeAl2O3, that is, Freundlich model for FeAl2O3APTES. A significant increase of adsorption capacities: from 44.21 to 51.66 mg g–1 for Pb2+, 25.69 to 32.96 mg g–1 for Cd2+ and 19.48 to 24.64 mg g–1 for Ni2+ was obtained for FeAl2O3 and FeAl2O3APTES, respectively, which indicated the significance of the macroporous structure of 3DOM alumina and subsequent amino-terminal modification. The values of the correlation coefficient (R2) suggested that pseudo-second kinetic model best describes Pb2+, Cd2+ and Ni2+ adsorption on FeAl2O3APTES, and Cd2+ and Ni2+ onto FeAl2O3, while second kinetic model gave the highest correlation coefficients for Pb2+ adsorption on FeAl2O3.
Microbial Quality of Ready-to-Eat Street Vended Food Groups Sold in the Johannesburg Metropolis, South Africa

Background: In many developing countries, the risk of contracting a food-borne disease is high after consuming contaminated ready-to-eat Street-Vended Foods (SVFs). The main objective of this research was to assess the microbiological quality of SVF groups sold in the Johannesburg Metropolis, South Africa. Methods: A stratified random sampling procedure was used for collecting the ready-toeat SVF samples. Methods prescribed by the International Organization for Standardization (ISO) were used for analyses for aerobic colony count, Enterobacteriaceae count, presence of Escherichia coli O15:H7, detection of Salmonella, Staphylococcus aureus, and Listeria monocytogenes. The bacterial isolates were identified by 16S rRNA gene sequencing. Data analysis was done using IBM SPSS Statistics V25.0. Results: Of the 205 ready-to-eat SVF samples, 85.37% had aerobic growth. The vast majority (78.18%) of the 110 ready-to-eat SVF samples had Enterobacteriaceae growth. From the 110 SVF samples, the prevalence rates of L. monocytogenes, S. aureus, Salmonella spp. , and E. coli O15:H7 were 46.36, 31.8, 21.8, and 1.8%, respectively. There was no statistical significant difference (p>0.05) in the prevalence rates of L. monocytogenes, S. aureus, Salmonella spp. , and E. coli O15:H7 in the various SVF groups. Conclusion: Based on the findings of this study, the microbial quality and safety of ready-to-eat SVFs sold in the Johannesburg Metropolis remain a serious public health concern. Hence, it is necessary to educate street food vendors and enforce food safety legislation in the street food sector in the country.
Biosorption of Eosin Yellow from an Aqueous Solution using Lysiloma latisiliquum seed powder: Kinetics and Isotherms

Wild Tamarind (Lysiloma latisiliquum) Seed powder was used as adsorbent for removal of Eosin Yellow from aqueous solution. Experiments were carried out under various conditions like contact time, initial dye concentration, pH, dosage, temperature to evaluate the capability of the adsorbent for dye removal. The percentage of dye removal decreased with increase in initial dye concentration and increased with increase in biosorbent dosage. Kinetic studies were done using pseudo first order and second pseudo order models. The experimental data was well fitted for pseudo second order model. Langmuir, Freundlich and Tempkin models were used for analysing the equilibrium data. Maximum monolayer adsorption was observed to be 14.925 mg/g using Langmuir isotherm model.
API Issues in Linked Geo Data

This paper reports on the experiences of building a linked geo data coordinates translation API and some of the issues that arose in the process. Beyond the basic capacities of SPARQL, a specialized API was constructed to translate obsolete British Trench Map coordinates from the Great War into modern WGS84 reference systems. Concerns over current methods of recording geographic information along with accuracy and precision of information are discussed. Open questions about managing the opportunistic enrichment of geographical instances are discussed as well as the scalability pitfalls therein.
A Review on Spatial Reusability-Aware Routing In Multi-Hop Wireless Networks

: The problem of routing in multi-hop wireless networks, to achieve high end-to-end throughput, it is difficult to find the optimal path from the source node to the destination node. Although a large number of routing protocols have been implemented to find the path with minimum transmission time for sending a single packet, such transmission time reduces protocols cannot be guaranteed to achieve high end-to-end throughput. Spatial reusability aware routing in multi hop wireless network is featured by considering spatial reusability of the wireless communication media. Spatial reusability-aware single-path routesand anypath routing protocols, and compare them with existing single-path routing and anypath routing protocols, respectively. Our evaluation results show that our protocols significantly improve the end-to-end throughput compared with existing protocols.
Wavelet Based Multi-Sensor Image Fusion Technique

: Image fusion is the process of combining two or more images with specific objects with more clarity. It is common that in focusing one object remaining objects will be less highlighted. Hence to get an image highlighted in all regions, a different means is required. This is what is done by the Image Fusion. In remote sensing, the increasing availability of Space borne images and synthetic aperture radar images gives a motivation to different kinds of image fusion algorithms. In the literature a number of time domain image fusion techniques where the substitution operations are done pixel value by pixel value. Few transform domain fusion techniques are proposed. In transform domain fusion techniques, the source images will be decomposed, then integrated into a single data and then reconstruct back into the time domain. In this paper, new transform techniques like singular value decomposition will be utilized for image fusion. In the literature, the quality assessment of fusion techniques is mainly by subjective tests. In this paper, objective quality assessment metrics are calculated for existing and proposed techniques. It has been found that the new image fusion technique outperformed the existing ones.
WHERE TO FOCUS POST-HARVEST LOSS EFFORTS?

and Foo loss constitutes a significant and complex problem around the world. FAO estimates place the amount of food lost and wasted globally each year at about 1.3 billion tonnes – one-third of all food produced for human consumption. While much of this food loss in developed countries occurs at the consumer stage, in Africa south of the Sahara and other developing regions, the majority of this food loss occurs during the production, handling, and storage stages of the food value chain. Perishable crops suffer disproportionate losses.