Miracle-dz/UniFAR-FTUs huggingface dataset:
A WEB SEARCH ENGINE-BASED SEMANTICALLY-GROUNDED CONSTRUCTION SIMILARITY BETWEEN WORDS

: Measuring the semantic similarity between words is a significant element in different tasks on the web such as family member origin, population mining, document clustering, and regular metadata extraction. Despite the helpfulness of semantic similarity measures in this application, correctly measuring semantic likeness between two words (or entities) remains a challenging task. We propose an experimental method to approximation semantic likeness using page counts and text snippets retrieve from a web search engine for two words. Particularly, we describe a variety of word co-occurrence actions using page counts and incorporate those with lexical patterns extracted from transcript snippets. To recognize the frequent semantic relations that exist between two given words, we suggest a novel pattern removal algorithm and a pattern clustering algorithm. Semantically-grounded methods aim to make correspondence for datasets with textual attributes are limited and, as it will be discuss in this paper, they are disadvantaged by their imperfect semantic analysis of data. In this paper, we propose a technique that, exploit the knowledge provided by setting Ontologies is able to make the centroid of multivariate datasets describe by means of textual attributes. Individual efforts have been put in the minimization of the semantic distance between the centroid and the input data. Our suggestion has been evaluated by means of a real dataset consisting on short textual answer provided by visitors of a usual park. Results show that our comparison retains the semantic content of the input data better than related works.
Online Adaptive Control Using Neural Networks

The online adaptive control of parameter varying systems is a persisting problem in the field of control engineering. Parameter varying systems are dynamic systems, whose properties depend on unobservable variables, unknown to the controller. Classic control methods often fail on this task, as they are too inaccurate or too computationally demanding. Deep reinforcement learning [1] offers away of acquiring fast online-adaptive policies, very closely approximating the optimal policy. It becomes even more useful, when the dimensionality of the system, such as in robotic manipulation, becomes too big for classic methods to handle. This thesis demonstrates the adaptability of neural network policies [2] in the control of parameter varying systems, on its simulation of a non-linear system. It also benchmarks these policies against three fully non-linear MPC controllers, which should achieve almost optimal behaviour in this setting. In addition, an LSTM network estimator [3] of the unobservable variables is created and used in the control policy.
Visualization of the challenges and limitations of the long-term sunspot number record

1SouthWest Research Institute, Boulder, CO, USA. 2High Altitude Observatory, Boulder, CO, USA. 3National Solar Observatory, Boulder, CO, USA. 4Departamento de Física, Universidad de Extremadura, Mérida, Spain. 5Instituto Universitario de Investigación del Agua, Cambio Climático y Sostenibilidad (IACYS), Universidad de Extremadura, Mérida, Spain. *e-mail: amunozj@boulder.swri. edu The solar cycle was first hypothesized by Christian Horrebow in the 1770s and later rediscovered by Heinrich Schwabe in 1844, as a clear, roughly decadal modulation of the number of sunspots visible on the solar disk (see Fig. 1). Schwabe’s results, publicized by Alexander von Humboldt, motivated Rudolf Wolf, at the Zurich Observatory, to collect all prior available sunspot observations and use them to make the first determination of the Wolf sunspot number (WSN) series — a weighted average of the amount of sunspots and sunspot groups — in 18481. From the beginning, piecing together sunspot observations of different observers has proved to be a challenging endeavour — an active field of research even today. However, most users of sunspot series data are unaware of the nuances and challenges of piecing together a homogeneous series out of a heterogeneous set of observers and thus take the sunspot series for granted. The goal of this Perspective is not to endorse a particular view of the secular evolution of solar activity over the past 400 years, but to provide a clear visual guide that users of historic sunspot data, as well as their derivate data products, can use to understand the limitations of historic sunspot observations. This Perspective is part of a concerted community-wide effort to raise awareness of these issues and provide users with a new, live, sunspot series that is more transparent and open to further improvement in the future. As such, we represent here a snapshot assessment current to 2018, which will be revised in the future as more historic data is unearthed and our methods improve, leading to better reconstructions of long-term solar activity.
Inhaled antibiotics during mechanical ventilation—why it will work

Inhaled antibiotics are a common therapy among patients suffering recurrent or chronic pulmonary infections. Their use is less frequent in acutely ill patients despite a strong theoretical rationale and growing evidence of their efficiency, safety and beneficial effect on reducing bacterial resistance emergence. Clinical trials of inhaled antibiotics have shown contradictory results among mechanically ventilated patients. The optimal nebulization setup, not always implemented in all trials, the difficulty to identify the population most likely to benefit and the testing of various therapeutic strategies such as adjunctive versus alternative to systemic antibiotics may explain the disparity in trial results. The present review first presents the reasons why inhaled antibiotics have to be developed and the benefits to be expected of inhaled anti-infectious therapy among mechanically ventilated patients. A second part develops the constraints of aerosolized therapies that one has to be aware of and the simple actions required during nebulization to ensure optimal delivery to the distal lung parenchyma. Positive and negative studies concerning inhaled antibiotics are compared to understand the discrepancies of their findings and conclusions. The last part presents current developments and perspective which will likely turn it into a fully successful therapeutic modality, and makes the link between inhaled antibiotics and inhaled anti-infectious therapy.
Prostate cancer vaccines Update on clinical development

Prostate cancer is the second leading cause of cancer-related deaths among men in the United States and is one of the most (if not the most) prevalent forms of cancer in both the United States and Europe. A recent systematic review of over 71,000 patients reveals that 10–20% of prostate cancer cases progress to castration-resistant prostate cancer (CRPC), for which there is no effective cure. Previous studies indicate indeed that the vast majority (> 80%) of patients diagnosed with CRPC already have (bone) metastases and that one third of the remaining subjects is likely to develop metastases within 2 y. The current standard chemotherapeutic treatment for CRPC patients is based on docetaxel plus prednisone. This approach only modestly enhances patient survival and, as with most (if not all) chemotherapeutics, has a wide range of undesirable side effects. There is consequently a need for less toxic alternative or companion therapies, such as active immunotherapy. Prostate cancer is indeed a viable candidate for the development of anticancer vaccines, as current standard treatments for the clinical management of CRPC are inadequate. In addition, prostate cancer cells usually grow at a reduced pace, thus allowing for the elicitation of effective immune responses. Prostate cells express many tissuespecific proteins that could act as therapeutic targets, including prostate-specific antigen (PSA), prostatic acid phosphatase (PAP)
A review of Nowcasting of convective weather over the Indian region

In recent years, with the improvement of observation and computation networks, prediction techniques as well as communication channels, there is an increasing public demand for location specific accurate forecast of weather. This need is especially felt for short duration mesoscale weather systems, for which there is less time for taking safety measures. The present article is a brief review of the recent developments in the field of operational thunderstorm prediction over India in the short to very short time scale. The article first briefly discusses the climatology of thunderstorms over the Indian region, its seasonal, spatial and diurnal variability. It then discusses the new observation resources that are now becoming available for operational thunderstorm forecasting including the current generation of satellites, Doppler radars, lightning detection network, as well as the surface and upper air network of observatories. This is followed by a discussion of numerical techniques available worldwide for very short range to nowcast scale forecasting of convective weather. The models that have been operationally implemented in India are discussed in greater detail along with brief mention of the results from the verification of these softwares. The next section details the current procedure of operational nowcasting in India Meteorological Department (IMD) including the recent efforts undertaken to improve the nowcast mechanism. The verification results bear out the fact that these measures have been successfully implemented and there has been significant improvement in operational forecasting of thunderstorms over the Indian region. The final section details the initiatives taken by various government and private agencies to improve the forecasting of thunderstorms and associated weather and impact assessment of thunderstorms. The present challenges before the community of thunderstorm forecasters is also detailed in this section.
Explanation of the Qualitative Values in a Space with a view on the Capabilities of Vernacular Architecture: Case Study: Context-Based Architectural Schools

The aim of the current study has been based on explaining the introduction of hidden and apparent factors in the context and ground of architecture, which can be influenced by it in the process of audience’s educability from a new aspect; therefore, the “data-based theory”, which is one of the newest qualitative research methods, was applied and in order to demonstrate its efficiency, Yazd faculty of Architecture was selected as the case study in order to explain the stages of conducting this research step by step. data analysis was carried out based on the three methods of open coding, axial coding, and selective coding. Then, according to the theories of Strauss and Corbin, the validation methods of qualitative research were applied. The findings of this research at the final stage indicated 28 open codes, 16 axial codes, and 6 selective codes and the paradigmatic pattern was organized as follows: 1. Causal variables, 2. Contextual variables, 3. Intervening variables, 4. Pivotal phenomenon, 5. Strategies, and 6. consequences and results. The results of this research indicate that by aligning the goals of academic education with executive principles, on the one hand, and recognizing the identity values in the evaluative view on place, on the other, we can accurately integrate the hidden and apparent capabilities of education in line with the audience’s psychological training.
A Review: Rumors Detection on Twitter Using Machine Learning Techniques

- In this period, web based life stage are progressively utilized by individuals to pursue newsworthy occasions since it is quick, simple to get to and modest similarly. In spite of the expanding utilization of web based life for data and news assembling, its tendency prompts the development and spread of gossipy tidbits i.e., data that are unconfirmed at the season of posting, which may makes genuine harm government, markets and society. Along these lines, there is need of compelling framework for distinguishing bits of gossip as ahead of schedule as conceivable before they generally spread. Viable framework should comprise of four parts: Rumor location, gossip following, position grouping, and veracity arrangement. Loads of work has been done in later segment while less work in segment talk identification. In this way, presently we should take a shot at gossip location. In this paper, we will condense endeavors done till now around there. A large portion of existing techniques identifies from the earlier bits of gossip, i.e., predefined gossipy tidbits. So it is required to have robotized gossip discovery strategy which recognizes new developing gossipy tidbits viably and as ahead of schedule as could reasonably be expected.
HYDROISOTOPE OF GROUNDWATER IN WESTERNPART OF WEST PROGO DOME

This research is a hydrogeological survey with the aim to know the characteristics of groundwater isotope. The research location is Samigaluh area, especially included in West Progo Dome, included in plot of RBI map of Purworejo and Sendangagung Sheet. The area under study is an area that enters in a non-groundwater Basin zone (non CAT). The research method is a field hydrogeology survey, accompanied by taking two groundwater samples for isotope testing. The data required in this study include groundwater and petrological data. Data analysis includes hydrogeological analysis based on isotope data. The results show that the groundwater under study has mild and severe isotope characteristics. The isotope content shows that groundwater flows at relatively close distances and is likely to intermediate. The heavier isotope content indicates a source of recharge water near the eye but at a lower elevation. This is supported by relatively low groundwater TDS content (86 108 ppm).
eWASM: Practical Software Fault Isolation for Reliable Embedded Devices

As we connect more microcontrollers to the Internet and employ them to control the physical world around us, their reliability and security are increasingly important. Many microcontrollers provide limited facilities for hardware isolation, and real-time OSes offer custom APIs, that require coupling applications into the ecosystem and abstractions of that specific OS to leverage isolation. This article investigates the use of software sandboxing of applications to support isolation for resource-constrained devices. Toward this, we detail the design of eWASM, a processes abstraction that adapts a popular sandbox, Wasm, for microcontrollers. eWASM provides a runtime to constrain memory accesses and control flow, enabled by our aWsm Wasm compiler. We discuss and evaluate its multiple implementations that effectively trade time and space, optimizing for the constraints of embedded systems. This enables popular languages (e.g., C) to be effectively sandboxed by software. We demonstrate performance within 40% of native C on Polybench. We believe this is a practical and compelling result for many IoT domains, and it represents the first compiled sandboxing environment for microcontrollers. We show that restrictions of the current Wasm specification lead to significant memory consumption and provide suggestions for the creation of an embedded-specific Wasm variant.
Socioeconomic aspects of oyster harvesting in the Rewa River delta area, Fiji

Oyster collecting along the Rewa River, Fiji. (Image: Jeff Kinch, SPC) Securing Sustainable Small-Scale Fisheries in the Context of Food Security and Poverty Eradication’ (FAO 2015), as well as the Melanesian Spearhead Group’s ‘Roadmap for Inshore Fisheries Management and Sustainable Development’ (MSG 2015), and the Pacific Community’s ‘Noumea Strategy’ (Pacific Community 2015). These instruments call for various actions to be taken by member countries to ensure the sustainability of coastal fisheries and associated marine resources. Activities by SPC and Fiji’s MoF are also in line with Sustainable Development Goal 14, which promotes the conservation and sustainable use of all marine resources for sustainable development purposes (United Nations 2015).
Biodiversity of epiphytic yeasts on post-harvest table grapes in markets of Tabriz, Iran

Several reports are available on species diversity of yeasts on grape berries in different grapevine producing countries, including Iran. However, there is a paucity of knowledge on species diversity of yeasts on post-harvest table grapes worldwide. Hence, this study was performed to explore the species diversity of epiphytic yeasts on post-harvest table grapes in markets of Tabriz, northwest Iran. Towards this aim, 120 grape samples, mostly Keshmesh, Shahani, Gezeluzum and Shast-arous cultivars, were purchased from selected main markets in Tabriz and subjected to yeast isolation. Total number of 180 epiphytic yeast isolates were recovered. The isolates were preliminary grouped based on the morphological characteristics and DNA fingerprinting profiles using MSP-PCR fingerprinting technique. The D1/D2 domain of the 26S rDNA was amplified and sequenced for one or two isolates representing each fingerprinting group. Totally, 20 isolates were sequenced and the phylogeny inferred from sequence data of D1/D2 region revealed a rich diversity of yeast species on post-harvest table grape berries. Sixteen yeast species belonging to both ascomycetes and basidiomycetes were identified. The majority of identified yeast species (75%) belonged to ascomycetes. Aureobasidium pullulans, Hanseniaspora uvarum and Metschnikowia sinensis are reported as the most frequently isolated yeasts. In this study, Clavispora lusitaniae and Cyberlindnera fabianii are newly reported on grape berries worldwide and C. lusitaniae, C. fabianii, Wickerhamomyces anomalus and Yamadazyma mexicana represent new records for the mycobiota of Iran.
Influence of Credit Risk of Financial Performance of Deposit Taking Savings And Credit Co-Operatives in Kenya

The purpose of this study was to empirically examine the influence of credit risk on financial performance of deposit taking savings and credit co-operatives in Kenya. The econometrics methods used in the study involves assessing the influence of the selected independent variables; Loan Delinquency and Loan Loss Provisions on financial performance of DT Saccos in Kenya. The target population for this study was 164 deposit taking Sacco societies licensed to undertake deposit-taking Sacco business in Kenya for the financial year ending December 2016. The study adopted census and considered all the DT Saccos for study. Secondary data was collected from 135 deposit taking Sacco’s audited financial statement which represented 82.32% success rate. Data was analyzed using both descriptive and inferential statistics. The result indicates credit risk has a negative and significant influence on financial performance. The Management of the DT Saccos need to be cautious in setting up a clear credit policy that will not negatively affects profitability and also they need to know how credit policy affects the operation of their DT Saccos to ensure judicious utilization of deposits and maximization of profit.
Predicting users behavior using SVM based on their data servicing to Cloud

: Predicting the user’s behaviour with respect to their data interest and with out their term weightage notice is tedious in the current service oriented manufactured services. As the services does not aware of for document classification so each and every cloud will have relevant as dictionary keywords known as relevant terms. They are 4 types of which are based on medical,bioy,technical and knowledge. Document will be uploaded and based on the filteration the document will be classified in the terms of frequencies[6]. The term frequency will be calculated based on the relevant dictinoaries individually and will be classified with the above 4 categories. Once the classification is done the cloud will update the document term frequency, uploaded user name and classification in the . This will be used for the admin mode for prediction of the individual user’s behaviour based on the relevant data extraction[4] and gets the aggregated individual term’s frequencies(4 individual frequencies if there! ). Then based on the frequencies the user will be predicted as for their data of interest is useful for other neigbouring users are not. So this prediction will keep changing with the aggregated mode of calculation as the user(s) will keep uploading their data of interest.
Negative impact of wind energy development on a breeding shorebird assessed with a BACI study design

Previous studies have shown negative associations between wind energy development and breeding birds, including species of conservation concern. However, the magnitude and causes of such associations remain uncertain, pending detailed ‘before-after-control-intervention’ (BACI) studies. We conducted one of the most detailed such studies to date, assessing the impacts of terrestrial wind energy development on the European Golden Plover Pluvialis apricaria, a species with enhanced protection under European environmental law. Disturbance activity during construction had no significant effect on Golden Plover breeding abundance or distribution. In contrast, once turbines were erected, Golden Plover abundance was significantly reduced within the wind farm (−79%) relative to the baseline, with no comparable changes in buffer or control areas. Golden Plovers were significantly displaced by up to 400 m from turbines during operation. Hatching and fledging success were not affected by proximity to turbine locations either during construction or operation. The marked decline in abundance within the wind farm during operation but not construction, together with the lack of evidence for changes in breeding success or habitat, strongly suggests the displacement of breeding adults through behavioural avoidance of turbines, rather than a response to disturbance alone. It is of critical importance that wind farms are appropriately sited to prevent negative wildlife impacts. We demonstrate the importance of detailed BACI designs for quantifying the impacts on birds, and recommend wider application of such studies to improve the evidence base surrounding wind farm impacts on birds.