Miracle-dz/UniFAR-FTUs huggingface dataset:
An Effective Review on Fog Computing using Virtualization

: Fog computing is new buzz word in computing world after cloud computing. This new computing paradigm could be seen as an extension to cloud computing. There is a new platform that provides a new set of web services and applications to the end-subscribers, by exploring cloud platform. This new platform is known as Fog Computing and also called Fogging. Fog computing is a term generated by Cisco that refers to increasing cloud computing to the enterprise's network edge. Also called fogging or Edge Computing, fog computing provides the operation of storage, compute and networking services between cloud computing data centers and end devices. In this paper the virtualization technique and its types are in the Fog computing environment are well presented with the concept of the cloud service models. The role of virtualization process in fog computing with their advantages is documented and the different types of virtualizations are presented with some survey on the various fog computing simulation tools and the virtualization architecture.
A Communal Fortification Model for Reliable Online Rating System

: The standard of customer ratings on merchandise, which we call a reputation, is one of the key factors in online purchasing decisions. There is, however, no guarantee of the trust-worthiness of a reputation since it can be manipulated rather easily. In this paper, we define false reputation as the problem of a reputation being manipulated by unfair ratings and design a general framework that provides trustworthy reputations. For this purpose, we propose TRUE-REPUTATION, an algorithm that iteratively adjusts a reputation based on the confidence of customer ratings. We also show the effectiveness of TRUE-REPUTATION through extensive experiments in comparisons to state-of-the-art approaches.
In vitro gas production profile and the formation of end products from non- washable, insoluble washable and soluble washable fractions in some concentrate ingredients

A procedure that mimics washing in the in situ incubation technique, combined with an in vitro gas and volatile fatty acids (VFAs) production technique, was used to verify the assumption that rumen degradation behaviour of material washed out of nylon bags is instantaneous and complete. In a 6 × 4 factorial arrangement of treatments with three replicates, fractions of maize, barley, milo, yellow peas, lupins (a mixture of white and spotted lupins) and round-seeded brown faba beans were subjected to an in vitro incubation technique. Fractions were whole (WHO), non-washable (NWF), insoluble washable (ISWF) and soluble washable (SWF). In a manually operated in vitro fermentation system, another 24 samples of the same substrates were fermented for VFA and ammonia analysis. Except in lupins, ISWF in the concentrate ingredients was very rich in starch. SWF was relatively rich in ash, crude protein, soluble sugars, and a residual unknown fraction but contained only a negligible quantity of starch. Thus, the fermentation characteristics of ISWF were more like WHO and NWF than SWF. Total gas production of SWF was considerably lower than the other fractions. A very rapidly degradable fraction was seen in the first phase of degradation of SWF. The pattern of fermentation end-product formation for SWF differed from that of the other fractions. Copyright © 2007 Society of Chemical Industry
DESIGN OF CONTROL ALGORITHM FOR A SINGLE STAGE THREE PHASE GRID INTEGRATED PV SYSTEM

This paper proposes the utilization of a slightest mean fourth (LMF) based calculation for single-organize threestage lattice coordinated SPV (Solar Photovoltaic) framework. It comprises of SPV exhibit, VSC (Voltage Source Converter), three-stage network and straight/nonlinear burdens. This framework has a SPV exhibit combined with a VSC to give three-stage dynamic power and furthermore goes about as a static compensator for the receptive power pay. It likewise adjusts to an IEEE-519 standard on sounds by enhancing the nature of energy in the three-stage circulation arrange. Subsequently, this framework serves to give sounds mitigation, stack adjusting, control factor amendment (PFC) and controlling the terminal voltage at the PCC (Point of Common Coupling). To build the effectiveness and most extreme energy to be separated from 1 International Journal of Pure and Applied Mathematics Volume 118 No. 24 2018 ISSN: 1314-3395 (on-line version) url: http://www.acadpubl. eu/hub/ Special Issue http://www.acadpubl. eu/hub/
MODELLING ATMOSPHERIC OH-REACTIVITY

As the focus on climate, air quality, visibility and public health has increased, so has the research on secondary organic aerosol (SOA) formation. SOAs are formed from atmospheric oxidation of volatile organic compounds (VOCs). The hydroxyl radical (OH) is the most important oxidant of the atmosphere, and knowledge of the atmospheric concentration and lifetime of OH is necessary to further the understanding of the SOA formation. However, the overall OH sink term is currently poorly constrained in models due to a still high missing fraction of unknown organic molecules contributing. We have modelled the atmospheric OH-reactivity in a boreal forest and investigated the contributions from atmospheric inorganic species, methane, isoprene, monoterpenes and other important VOCs. We have used SOSA; a one-dimensional vertical chemistry-transport model (Boy et al., 2010) together with measured data from Hyytiälä, SMEAR II station, Southern Finland, August 2008. In order to ascertain how well we understand the OH initiated photochemical processes, we have compared our calculated OH-reactivity with measured ambient OH-reactivity from the BFORM (Boreal Forest OH Reactivity Measurements) campaign, August 2008. Here the total atmospheric OH-reactivity was measured using the Comparative Reactivity Method. (Sinha et al., 2008)
Supporting Authorize-then-Authenticate for Wi-Fi access based on an electronic identity infrastructure

Federated electronic identity systems are increasingly used in commercial and public services to let users share their electronic identities (eIDs) across countries and providers. In Europe, the eIDAS Regulation and its implementation - the eIDAS Network - allowing mutual recognition of citizen’s eIDs in various countries, is now in action. We discuss authorization (before authentication), named also authorize-then-authenticate (AtA), in services exploiting the eIDAS Network. In the eIDAS Network, each European country runs a national eIDAS Node, which transfers in other Member State countries, via the eIDAS protocol, some personal attributes, upon successful authentication of a person in his home country. Service Providers in foreign countries typically use these attributes to implement authorization decisions for the requested service. We present a scenario where AtA is required, namely Wi-Fi access, in which the service provider has to implement access control decisions before the person is authenticated through the eIDAS Network with his/her national eID. The Wi-Fi access service is highly required in public and private places (e.g. shops, hotels, a.s.o.), but its use typically involves users’ registration at service providers and is still subject to security attacks. The eIDAS Network supports different authentication assurance levels, thus it might be exploited for a more secure and widely available Wi-Fi access service to the citizens with no prior registration, by exploiting their national eIDs. We propose ﬁrst a model that discusses AtA in eIDAS-based services, and we consider different possible implementation choices. We describe next the implementation of AtA in an eIDAS-based Wi-Fi access service leveraging the eIDAS Network and a Zeroshell captive portal supporting the eIDAS protocol. We discuss the problems encountered and the deployment issues that may impact on the service acceptance by the users and its exploitation on large
Effects of Transformational and Transactional Leadership Styles on Job Satisfaction: The Case of Cape Coast Technical University

Management of newly transformed Technical Universities (TUs) in Ghana, including Cape Coast Technical University, needs to achieve their mission in an environment full of competition from traditional, private, and foreign universities. This study was conducted to assess the relationship between job satisfaction on one hand, and transformational and transactional leadership styles on the other. Data was collected using Multifactor Leadership Questionnaire and Minnesota Satisfaction Questionnaire to exhume information on leadership styles of Heads of Department and job satisfaction of faculty members respectively. The results from correlation and regression analyses show that leadership is by no means a contributory factor in determining the satisfaction of faculty-members. Thus academic heads of departments’ adaptation to transformational and transactional leadership techniques could be motivating to faculty-members to give off their best through enhancement of satisfaction and contentment to increase institutional productivity. The results of the study are limited to the study organization.
Toxic bait for the control of Anoplolepis longipes (Jerdon) (Hymenoptera: Formicidae) in the Seychelles. II. Effectiveness, specificity and cost of baiting in field applications

Bait containing 1% a.i. aldrin and used at a rate of 10 kg/ha gave good control of Anoplolepis longipes (Jerd.) in the Seychelles, especially when large areas were treated. Typically, 90% or more of the ants were killed, usually within the first few days. Depending on the area baited, population recovery took at least 3–12 months and was largely by re-invasion from untreated areas. The bait was relatively specific but chickens starved for 24 h would eat it when no other food was available. It is concluded that baiting is relatively inexpensive and provides a safe method of controlling infestations of A. longipes over large areas.
Semantic Distributed Multi-Robot Classiﬁcation, Localization, and Mapping With a Viewpoint Dependent Classiﬁer Model

This formulation allows us to isolate the new information sent by other robots at time k, from information already used for inference at previous times. Next, we have to address that not all known objects are present in the sent local beliefs. Because the priors are assumed independent between poses and classes, P(X k \xk|C k ) = P(X k \xk). From P(X k \xk|C k ,H k−1) we can split X k \xk into poses of objects that are involved in H k−1 and ones that do not as: P(X k \xk|C k ,H k−1) = P(X o,R new,k|C R new,k,H k−1)P(X k−1|C k ,H k−1). (5)
SMPAI: Secure Multi-Party Computation for Federated Learning

Federated Learning is a technique that enables a large number of users to jointly learn a shared machine learning model, managed by a centralized server, while the training data remains on user devices. That said, federated learning reduces data privacy risks. Privacy concerns still exist since it is possible to leak information about the training data set from the trained model’s weights or parameters. Most federated learning systems use the technique of differential privacy to add noise to the weights so that it is harder to reverse-engineer the individual data sets. Differential privacy reduces the risk but does not eliminate leakage from the data. The combination of differential privacy and cryprogrpahy can eliminate leakage. As opposed to prior works, we propose a new mechanism that protects against a wide range of attacks. Our mechanism is based on advanced cryptographic techniques, in particular, secure multiparty computation and differential privacy. Our model has been developed and tested on the ABIDES environment simulating mobile device networks.
Anti-inflammatory effects of trihoney in hypercholesterolemicatherosclerotic rabbits: a comparative study with atorvastatin

Introduction: Hypercholesterolemia has been proven as a main pathogenic trigger for pathogenesis of atherosclero- sis. Atherosclerosis characterised by chronic inflammatory process and increased expression of inflammatory mark- ers. In this study; Trihoney (a combination of three types of natural honey namely: Trigona, mellifera, and Dorsata) was investigated for its anti-inflammatory effect in hypercholesterolemic atherosclerotic rabbits. Methods: Thirty male New Zealand white rabbits (NZW) were grouped into: normal diet (C), normal diet with 0.6g/kg/day of Tri- honey (C+H), 1% cholesterol diet (HCD), 1% cholesterol diet with 0.6g/kg/day of Trihoney (HCD+H), and 1% cholesterol diet with 2mg/kg/day of atorvastatin (HCD+At.). After 12 weeks of starting the experiment, animals were sacrificed and serum analysed for homocysteine and pro-atherogenic inflammatory markers such as: interleukin-1β (IL-1β), interleukin-6 (IL-6), and tumour necrosis factor-α (TNF-α). Fasting serum glucose was analysed to assess gly- caemic status. Results: Trihoney treated group showed significantly lower (p<0.05) serum IL-1β and IL-6 compared to the HCD group. Trihoney supplementation resulted in significant (p<0.001) reduction of serum TNF-α compared to HCD group. Experimental group HCD had serum homocysteine level comparable to that of the control groups with- out any significant difference despite little increase in the mean value. Trihoney treated group had serum homocys- teine comparable to the controls. All experimental groups showed fasting serum glucose comparable to the control. Conclusion: This study showed that Trihoney has an anti-inflammatory function and may be used as an adjuvant to statins for management of atherosclerotic cardiovascular diseases even in diabetic subjects. Keywords: Atherosclerosis, Atorvastatin, Inflammatory markers, Trihoney
Addendum to issue 1 - ENZITEC 2012Use of manure as a potential substrate for (hemi)cellulolytic enzymes production under solid-state fermentation

Abstract Animal manure is a major source of biomass that contains significant amounts of organic carbon and other nutrients. Production of (hemi)cellulolytic enzymes using inexpensive and readily-available substrates for solid-state fermentation (SSF) can contribute to the broader application of enzymes for the conversion of biomass into biofuels and chemicals. Within this context, the aim of the present work was to evaluate the feasibility of using manure as a substrate for the production of (hemi)cellulolytic enzymes by two different fungi (Aspergillus niger and Trichoderma reesei) cultivated under SSF. Supplementation of the substrate with different mineral salts was evaluated, as well as the use of a combination of manure and wheat bran. SSF cultivations using either manure or a mixture of manure and wheat bran, supplemented with ammonium sulfate medium, showed the best results for both fungi and the three enzymes quantified (endoglucanase, β-glucosidase, and xylanase). Kinetic profiles revealed that the highest enzyme production occurred after 72 h of cultivation. For A. niger, the maximum activities achieved were 69.8 ± 1.5 IU.g− 1 of dry solid substrate (endoglucanase), 70.6 ± 4.6 IU.g− 1 (β-glucosidase), and 92.4 ± 9.8 IU.g− 1 (xylanase). For T. reesei, maximum activities were 78.4 ± 9.8 IU.g− 1 (endoglucanase), 4.2 ± 1.1 IU.g− 1 (β-glucosidase), and 218.8 ± 0.7 IU.g− 1 (xylanase). These results are very promising when compared with enzyme production under SSF using other substrates, and demonstrate the potential of manure for (hemi)cellulolytic enzyme production within the biorefinery concept.
Influence of sea ice concentration in the research area on IDCR-SOWER abundance estimation

We examined the relationship between the sea ice condition using “sea ice concentration” as an index that observed during IDCR-SOWER surveys, and the abundance of Antarctic minke whales estimated using the model of Okamura and Kitakado (2008). An operation of sighting survey and abundance of Antarctic minke whales appears to be influenced by the changes in the sea ice condition because the sighting survey cannot cover all of water in research areas due to higher sea ice concentration and formation of a polynya. We thus hypothesized that, if the abundance estimates from CPII and CPIII from a given research area were substantially different, the sea ice condition should have been also quite different between the two. In fact, this relationship was clearly seen in Area II (Weddell Sea) and Area V (Ross Sea) where the shape of ice field varies substantially year by year due to changes in the sea ice condition. Abundance estimate was high at the year when the survey was able to approach and cover waters adjacent to the continental shelf and continental slope and was low when the survey was not able to do so due to the high ice concentration. Recent sighting survey conducted on the Japanese, German and Australian ice breaker and aerial survey reported existence of Antarctic minke whales in such areas. These observations strongly support this hypothesis and further qualitative analysis is required to accommodate the discrepancy.
COVID‐19 anxiety among front‐line nurses: Predictive role of organisational support, personal resilience and social support

Aim: This study examines the relative influence of personal resilience, social support and organisational support in reducing COVID-19 anxiety in frontline nurses. Background: Anxiety related to the COVID-19 pandemic is prevalent in the nursing workforce, potentially affecting nurses well-being and work performance. Identifying factors that could help maintain mental health and reduce coronavirus-related anxiety among frontline nurses is imperative. Currently, no studies have been conducted examining the influence of personal resilience, social support and organisational support in reducing COVID-19 anxiety among nurses. Methods: This cross-sectional study involved 325 registered nurses from the Philippines using four standardised scales. Results: Of the 325 nurses in the study, 123 (37.8%) were found to have dysfunctional levels of anxiety. Using multiple linear regression analyses, social support, personal resilience and organisational support predicted COVID-19 anxiety. Nurse characteristics were not associated with COVID-19 anxiety. Conclusions: Resilient nurses and those who perceived higher organisational and social support were more likely to report lower anxiety related to COVID-19. Implication for Nursing Management: COVID-19 anxiety may be addressed through organisational interventions, including increasing social support, assuring adequate organisational support, providing psychological and mental support services and providing resilience-promoting and stress management interventions.
Story Analysis using Natural Language Processing and Interactive Visualizations

This paper discusses the use of open source software libraries for extracting key story elements from a textual narrative and displaying them in an intuitive and interactive manner to users via a set of visualizations. The first library is Stanford’s CoreNLP, a Java API that provides natural language processing (NLP) services such as sentence recognition, tokenizing, parts-of-speech identification, dependency parsing, named entity recognition, coreference resolution, and temporal tagging. The second is D3, a JavaScript API built on scalable vector graphics (SVG) which provides powerful data visualization capabilities. Google Charts and Google Maps are also used. The paper describes an application called Story Analyzer that was built using these APIs. Application development using NLP for unstructured textual data involves challenges, limitations, and ambiguities that distinguishes it from applications using structured data. Therefore, the paper also discusses issues and limitations inherent with using NLP software libraries, and it presents workarounds when applied to story analysis. CoreNLP’s results, given a specific story of current news events, are analyzed in detail.
An Enhanced Lucene based System for Efficient Document/Information Retrieval

In this paper we implement a document retrieval system using the Lucene tool and we conduct some experiments in order to compare the efficiency of two different weighting schema: the well-known TF-IDF and the BM25. Then, we expand queries using a comparable corpus (wikipedia) and word embeddings. Obtained results show that the latter method (word embeddings) is a good way to achieve higher precision rates and retrieve more accurate documents.
Layered Space-Time Block Codes with Iterative Decoding

Layered space-time coding (LST) architectures are able to achieve high capacities due to the fact that they transmit independent information on separate antennas. Sub-optimal decoding schemes such as zero-forcing (ZF) and minimum mean squared error (MMSE) are commonly used due to their lower complexity but make the system more susceptible to the effects of error propagation (EP) through the detected layers. In this paper we propose a LST architecture which employs space-time block codes on one of its layers to radically reduce the effect of EP at the expense of throughput. Simulation results show that error rate performances, close to the EP free performance are achieved making the trade-off in throughput equitable. The increase in diversity also allows for higher modulation levels to be used thereby achieving a target capacity with improved error rate performance.
Simvastatin inhibits IFN‐γ‐induced CD40 gene expression by suppressing STAT‐1α

CD40, a member of the TNF receptor superfamily, is critical for productive immune responses. Macrophages constitutively express CD40 at low levels, which are enhanced by IFN‐γ. IFN‐γ‐induced CD40 expression involves activation of STAT‐1α as well as NF‐κB activation through an autocrine response to IFN‐γ‐induced TNF‐α production. Statins are 3‐hydroxy‐3‐methylglutaryl (HMG)‐CoA reductase inhibitors, which exert anti‐inflammatory effects independent of their cholesterol‐lowering actions. Herein, we describe that simvastatin (SS) inhibits IFN‐γ‐induced CD40 expression via the suppression of STAT‐1α expression. This results in diminished STAT‐1α recruitment to the CD40 promoter upon IFN‐γ treatment, in addition to reduced RNA Polymerase II recruitment and diminished levels of H3 and H4 histone acetylation. SS‐mediated inhibition of STAT‐1α occurs through suppression of constitutive STAT‐1α mRNA and protein expression. The inhibitory effect of SS on CD40 and STAT‐1α is dependent on HMG‐CoA reductase activity, as the addition of mevalonate reverses the inhibitory effect. In addition, CD40 and/or STAT‐1α expression is inhibited by GGTI‐298 or Clostridium difficile Toxin A, a specific inhibitor of Rho family protein prenylation, indicating the involvement of small GTP‐binding proteins in this process. Collectively, these data indicate that SS inhibits IFN‐γ‐induced CD40 expression by suppression of STAT‐1α, and altering transcriptional events at the CD40 promoter.
Undocumented migrants in the Netherlands: adverse life events, living conditions and mental health

Background: Undocumented migrants have worse health and living conditions and poor access to health care. Aims and objectives: To examine the prevalence and determinants of mental health problems in undocumented migrants. Design: Observational study, integrating cross-sectional questionnaire data with retrospective electronic patient record data. Methods: Undocumented migrants attending medical and psychological consultation hours of a Netherlands-based non-governmental organization, completed the Self-Reporting Questionnaire (SRQ). We examined scores of the instrument's 24 items version (SRQ-24) and its 20 items version (SRQ-20). Correlations with determinants were estimated using parametric tests. Results: On the SRQ-20, 85% of the sample (N=101) scored [≥]8, the clinical cut-off value; mean=12.4 {+/-} 4.6, range 0-20. Adverse life events like physical and sexual assault were reported in 37% of the medical records (N=99) and had a medium to large effect (Cohen's d=0.76) on SRQ-24 scores. Discussion: Mental health problems are common in undocumented migrants. Adverse life-events are critical determinants.