Miracle-dz/UniFAR-FTUs huggingface dataset:
Secure OMP Based Pattern Recognition That Supports Image Compression

In this paper, we propose a secure Orthogonal Matching Pursuit (OMP) based pattern recognition scheme that well supports image compression. The secure OMP is a sparse coding algorithm that chooses atoms sequentially and calculates sparse coefficients from encrypted images. The encryption is carried out by using a random unitary transform. The proposed scheme offers two prominent features. 1) It is capable of pattern recognition that works in the encrypted image domain. Even if data leaks, privacy can be maintained because data remains encrypted. 2) It realizes Encryption-then-Compression (EtC) systems, where image encryption is conducted prior to compression. The pattern recognition can be carried out using a few sparse coefficients. On the basis of the pattern recognition results, the scheme can compress selected images with high quality by estimating a sufficient number of sparse coefficients. We use the INRIA data set to demonstrate its performance in detecting humans in images. The proposal is shown to realize human detection with encrypted images and efficiently compress the images selected in the image recognition stage.
Natural history of Phoneutria boliviensis (Araneae: Ctenidae): habitats, reproductive behavior, postembryonic development and prey-wrapping

Abstract Phoneutria boliviensis (F.O.P.-Cambridge 1897) is a medically important wandering spider distributed from Central America to northern South America. This study is the first description of the natural history of this species, and presents data on several aspects of its natural history: reproductive and prey wrapping behavior, postembryonic development, and habitats in the departments of Valle del Cauca and Quindio, Colombia. Prior to copulation, the male did not engage in any courtship from a distance, but instead climbed onto the female, adopting the typical copulation position of “modern wandering spiders” (position III). Females laid up to four egg sacs; between 430–1300 hatchlings emerged after 28–34 days. After hatching, spiderlings had a third claw on all their legs and built an irregular web, where they remained until the next molt. Sexual maturity occurred after 14–17 molts, and spiders matured 300–465 days after emerging from the egg sac. The species was found in disturbed habitats associated with both dry and wet tropical forests, usually on the ground with little litter. Spiders wrapped prey in silk, moving in a stereotypically circular pattern around the prey without manipulating threads with their legs. Attachments to the substrate involved rapid movements of the anterior spinnerets, while the others remained immobile.
KuVS-Fachgespr¨ach Fog Computing 2020

—In this paper, we survey work that relates to our fully distributed protocol called UrbanCount for counting large numbers of people using opportunistic device-to-device communication. We provide an overview of existing approaches that address mobile opportunistic networks for parallel data dissemination and processing. First, works are presented that are concerned exclusively with the dissemination of information in opportunistic networks. We continue to present approaches that are dedicated to both opportunistic data dissemination and processing in mobile networks. In this context, we outline gossiping algorithms and fog computing-based techniques. Sub-sequently, we present methods that use mobile crowd sensing for data dissemination and processing. We contrast them with procedures that leverage opportunistic data processing and ﬁnally we conclude open research questions. In this regard, our research objectives are to investigate how the modeling can be carried out for a scenario such as UrbanCount and for which other use cases opportunistic networks for data dissemination and processing are suitable.
Visual model-driven design, verification and implementation of security protocols

A novel visual model-driven approach to security protocol design, verification, and implementation is presented in this paper. User-friendly graphical models are combined with rigorous formal methods to enable protocol verification and sound automatic code generation. Domain-specific abstractions keep the graphical models simple, yet powerful enough to represent complex, realistic protocols such as SSH. The main contribution is to bring together aspects that were only partially available or not available at all in previous proposals.
of Birmingham Causality shifts the perceived temporal order of audio-visual events

Causality poses clear constraints to the timing of sensory signals produced by events, as sound travels slower than light, causing auditory stimulation to lag visual stimulation. Previous studies show that implied causality between unrelated events can change the tolerance of simultaneity judgements for audio-visual asynchronies. Here, we tested whether apparent causality between audio-visual events may also affect their perceived temporal order. To this aim, we used a disambiguated stream-bounce display, with stimuli either bouncing or streaming upon each other. These two possibilities were accompanied by a sound played around the time of contact between the objects, which could be perceived as causally related to the visual event according to the condition. Participants reported whether the visual contact occurred before or after the sound. Our results show that when the audio-visual stimuli are consistent with a causal interpretation (i.e., the bounce caused the sound), their perceived temporal order is systematically biased. Namely, a stimulus dynamics consistent with a causal relation induces a perceptual delay in the audio component, even if the sound was actually presented first. We thus conclude that causality can systematically bias the perceived temporal order of events, possibly due to expectations based on the dynamics of events in the real world.
Machine Learning Models For Predicting And Modeling More Engaging Business Manuscripts

Given the high stakes and intense competition within all areas of the industry, intelligent business decisions are more important than ever. Data analysis plays an important role as a critical strategic weapon in business. Neural networks are one of the most powerful machine learning algorithms that can model and solve approximation, optimization, prediction, and classification problems. However, even though tools that use neural networks and machine learning to analyze and predict outcomes have been extensively researched, there is a lack of research on business applications built around sequence to sequence models. This paper presents two machine learning Long Short-Term Memory (LSTM) encoder-decoder models that take in text-based advertisements as input, and analyze and restructure them to make them more engaging and readable to the target audience. The model is trained on a dataset created by scraping advertisements from Groupon.com which are analyzed and scored using Coleman-Liau Readability Formula, The Flesch Reading Ease formula, and a dataset of active call-to-action verbs.
Lattice Boltzmann Method Application on Headwater at Lata Kinjang Waterfall, Malaysia

doi: 10.5829/ije.2020. 33.05b. 07 NOMENCLATURE fα Particle distribution function g Gravity (m/s ) ? ́? α Value of fα before the streaming h Coefficient ∆x Lattice size in x-direction Lx No. of lattices in x-direction Δy Lattice size in y-direction Ly No. of lattices in y-direction ∆t Time step Greek Symbols Fi Component of the force in i direction Lattice relaxation time eα Veloity vector of a particle in the α link Density (kg/m) Nα constant Kinematic viscosity (m/s) fα eq Local eqquilibrium distribution function Subscripts Ωα collision operator i & j Space direction indices
A mass capture technique for lions

Summary During a 13 month survey over 600 lions were lured to capture sites and of these 488 were captured and 409 marked in 158 effort nights (two teams worked for 79 nights). Lions were captured in 96 effort nights out of the 158. Groups of up to 16 were captured per effort night with 80% of all observed lions captured. Seasonal capture rates indicated that there was an inverse relationship between rainfall and capture success, the greatest success being recorded during the dry season. Lions were lured to a game carcass with tape recordings of lions and spotted hyaena calls, and scent trails. All lions were darted at night from the back of a parked vehicle. Record ings were audible to 7 km, the effective luring range with regard to lions being about 4 km. Lions and hyaenas also responded to the sounds in the absence of a carcass or scent trails and approached the sound at a brisk walk. Playing roars often caused lions to move away. Recordings used in conjunction with a carcass and scent trails reduced the time lions took to arrive by a factor of 2.7 when compared to using only a carcass and scent trails. Eighty-three per cent of the darted lions remained within 10 m of the carcass. Both sexes and all age classes except cubs under about 1 month were captured by the technique. The mortality rate was 0.82%.
2020-02388-PhD Position F/M Smart strategies for the collective motion of deformable swimmers in viscous fluids

The Inria Sophia Antipolis Méditerranée center counts 34 research teams as well as 8 support departments. The center's staff (about 500 people including 320 Inria employees) is made up of scientists of different nationalities (250 foreigners of 50 nationalities), engineers, technicians and administrative staff. 1/3 of the staff are civil servants, the others are contractual agents. The majority of the center’s research teams are located in Sophia Antipolis and Nice in the Alpes-Maritimes. Four teams are based in Montpellier and two teams are hosted in Bologna in Italy and Athens. The Center is a founding member of Université Côte d'Azur and partner of the I-site MUSE supported by the University of Montpellier.
Autonomic cardiovascular control – Applications in ICU

In the past decade, alteration of cardiovascular autonomic function has been identified as a powerful predictor of fatal outcome in cardiovascular patients. The following study was performed to assess the differences in the postoperative recovery of autonomic regulation after mitral valve (MV) and aortic valve (AV) surgery with a heart– lung machine. Besides the different kinds of surgical graftings, the previous investigations about the time coarse during the first postoperative 24 hours [1] and the preoperative autonomous status [2] should be considered in a future cardiovascular perioperative risk stratification.
Extracts from Tephrosia vogelii for the protection of stored legume seeds against damage by three bruchid species

Aliquots of powdered dried leaves of Tephrosia vogelii (Leguminosae – Papilionoideae) were extracted with hexane, acetone and ethanol. The extracts were tested for their potential to protect stored legume seeds from damage by the bruchids Acanthoscelides obtectus, Callosobruchus maculatus and Callosobruchus chinensis (Coleoptera – Bruchidae). While the acetone and ethanol extracts were ineffective except for a significant but low effect on A. obtectus, the hexane extract had a relatively high efficacy, providing similar control of all three bruchid species. This effect was manifested in slowly-reduced adult survival within 7 days and in reduced numbers of eggs laid and of F1 progeny produced, resulting in seed damage averaging 7.1% compared to 99.8% in the untreated controls after one generation. These findings are discussed in the context of previously identified constituents of T. vogelii, the rotenoids rotenone, tephrosin and deguelin.
EFFECTS OF IMPINGEMENT VELOCITIES AND SURFACE CHARACTERISTICS ON DEPOSITION PROCESS OF INKJET PRINTING

Computational results are presented of the influences of droplet impinging velocity V and contact angle θs between the droplet and cavity walls of a Newtonian fluid on the deposition process of a microfabrication based on inkjet printing technique. The numerical scheme is based on a cell-centered finite volume discretization and a volume-of-fluid method. Non-staggered grid system is used. An interpolation practice of second order accuracy is adopted to calculate the physical quantities at cell-face centers. The deferred correction approach is used to compute the convection and diffusion terms by blending the upwind and central difference scheme. An implicit three time level scheme with second-order accuracy is adopted. The SIMPLE algorithm is adopted to treat the velocity and pressure coupling. The influences of droplet impinging velocity are examined by increasing its value from 1.0m/s to 7.0m/s at 1.0m/s interval, while the hydrophilic effects are explored by choosing θs at 10°, 30°, 50°, 70°, 90°, and 120°, whereas the contact between the fluid and bottom wall is fixed at θb = 30°. It is found that if the droplet impinging velocity is larger than 5m/s, an overfilling of cavity occurs. Moreover, there exists a critical contact angle of θs = 70° below which the droplet fails to form a layer whereas beyond which the impingement process could end with an igloo-like shape instead of a layer.
An Extensive Review on Sensing as a Service Paradigm in IoT: Architecture, Research Challenges, Lessons Learned and Future Directions

The Internet of Things is regarded as a trending technology of the modern age, through which several sensors are connected to the Internet for productive and compelling asset administration in a Smart Environment (viz., Smart Home, Smart city etc.). Programming applications, infrastructures and platforms are rendered as services through Cloud technologies. Sensing as a Service (SaS) is an advanced type of distributed computing that avails the worldwide resources of IoT and it facilitates creation of a shared network of sensors that are available as a consumable service. These services are leveraged by the organizations and developers, thereby users are provided with an opportunity to monetize the data using existing infrastructure. Moreover, there’s a need to investigate the idea of SaS paradigm and analyze how it suits with the IoT technology. The main focus is to explore the utility of SaS model in innovative, social, technological and ideological points of view. In this extensive survey, we analyze different paradigms of sensing frameworks and provide a holistic view on various challenges and issues that incur in designing an ideal framework so that all the requirements of the stakeholders (users, developers, operators and organization) are met in best possible ways.
A Systematic Review and Meta-Analysis on the Effect of Cotoneaster manna on Neonatal Jaundice

Alireza Salehi, Mohadese Ostovar, Maryam Marzban Research Center for Traditional Medicine and History of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran; Essence of Parsiyan Wisdom Institute, Traditional Medicine and Medicinal Plant Incubator, Shiraz University of Medical Sciences, Shiraz, Iran; *Email:ostovarm@sums.ac. ir Clinical Research Development Center, "the Persian Gulf Martyrs" Hospital, Bushehr University of Medical Sciences, Bushehr, Iran;
The influence law of process parammeters on end concavity of hexahedral blank cross wedge rolling (CWR)

Y. Chang, X. D. Shu, T. Z. Chen: Faculty of Mechanical Engineering and Mechanics, Ningbo University, Ningbo, China, e-mail: shuxuedao@nbu.edu. cn In order to expand the range of the cross wedge rolling (CWR) product, realize CWR of hexahedral blank. In this paper, the three-dimensional Finite element model (FEM) of hexahedral blank CWR is established by DEFORM finite element software. The influence of forming angle, spreading angle and section shrinkage on the length of concavity is analyzed, compared with the round billet rolling results under the same parameters, the concavity length of the hexahedral blank is slightly larger than that of round billet, and the influence of process parameters on the concavity is basically the same. The research results provide theoretical guidance for the rational determination of process parameters for CWR of hexahedral blank.
Epidemiological Trends of Coronavirus Disease 2019 in China

Background: The Coronavirus Disease 2019 (COVID-19) epidemic broke out in Wuhan, China, and it spread rapidly. Since January 23, 2020, China has launched a series of unusual and strict measures, including the lockdown of Wuhan city to contain this highly contagious disease. We collected the epidemiological data to analyze the trend of this epidemic in China. Methods: We closely tracked the Chinese and global official websites to collect the epidemiological information about COVID-19. The number of total and daily new confirmed cases of COVID-19 in China was presented to illustrate the trend of this epidemic. Results: On January 23, 2020, 835 confirmed COVID-19 cases were reported in China. On February 6, 2020, there were 31,211 cases. By February 20, 2020, the number reached as high as 75,993. Most cases were distributed in and around Wuhan, Hubei province. Since January 23, 2020, the number of daily new cases in China except Hubei province reached a peak of 890 on the eleventh day and then it declined to a low level of 34 within two full-length incubation periods (28 days), and the number of daily new cases in Hubei also started to decrease on the twelfth day, from 3,156 on February 4, 2020 to 955 on February 15, 2020. Conclusion: The COVID-19 epidemic has been primarily contained in China. The battle against this epidemic in China has provided valuable experiences for the rest of the world. Strict measures need to be taken as earlier as possible to prevent its spread.
Pilot Data Collection Survey and Analytical Techniques for Persuasion Engineering Systems

Persuasive communication is learned from childhood and can further be reﬁned through study and experience. The ability to persuade through effective argumentation is regarded as a sign of intelligence, enticing others to form social bonds. Per-suasive dialogue can be used to encourage interlocutors to take up self-care and bene-ﬁcial habits or help them stop harmful routines or addictions. This paper details a pilot survey, and data analysis techniques, designed to inform the development of a larger follow on experiment. The aim is to predict the most effective form of argumentation based on user characteristics.
Beliefs about Others : A Striking Example of Information Neglect

In many games of imperfect information, players canmake Bayesian inferences about other players’ types based on the information that is contained in their own type. Several behavioral theories of belief-updating even start from the assumption that players project their own type onto others also when it is not rational. We investigate such inferences in a simple laboratory task, in which types are drawn from one out of two states of the world and participants have to guess the type of another participant. We find lile evidence for irrational (over-)projection. Instead, between 50% and 70% of the participants in our experiment completely neglect the information contained in their own type and base their choices only on the prior probabilities. Using several experimental interventions, we show that this striking neglect of information is very robust. JEL classification: C91, D83.
Numerical and experimental analysis of innovative support system of belt conveyor

K. Semrád (e-mail: karol.semrad@tuke.sk), M. Spodniak, Faculty of Aeronautics, D. Marasová, Ľ. Ambriško, Ľ. Caban, Faculty of Mining, Ecology, Process Control and Geotechnologies, Technical University of Kosice, Slovakia The article processes an issue of the strength of a support system of a belt conveyor applying the numerical and experimental analysis approach. The support system of a belt conveyor is during the operation exposed to high impact forces due to the impact of the foreign objects. The methodology of the numerical analysis is based on the finite element modelling and according to the experimental analysis the boundary conditions are estimated. The results obtained using the numerical analyses are identical to the results from the experimental analysis. Maximal damage of the support system of a belt conveyor is estimated and according to the proposed methodology verified by the comparison of the experimental and numerical results, the design and optimization of the support system for the practical operation can be performed.
On Solutions of Certain Classes of Evolution Equations for Surface Morphologies

We introduce a generalization of a known evolution equation of surface morphologies developed in [6, 11, 12]. For this generalized equation, initial boundary value problems are studied for periodical boundary conditions as well as for Dirichlet boundary conditions. We prove the existence of weak solutions of these problems for an arbitrary finite interval of time. For the case of smooth data and Dirichlet boundary conditions, the existence of a unique smooth solution is established.
Topic Models for Dynamic Translation Model Adaptation

We propose an approach that biases machine translation systems toward relevant translations based on topic-specific contexts, where topics are induced in an unsupervised way using topic models; this can be thought of as inducing subcorpora for adaptation without any human annotation. We use these topic distributions to compute topic-dependent lexical weighting probabilities and directly incorporate them into our translation model as features. Conditioning lexical probabilities on the topic biases translations toward topic-relevant output, resulting in significant improvements of up to 1 BLEU and 3 TER on Chinese to English translation over a strong baseline.
Development of Linear Vernier Hybrid Permanent Magnet Machine for Wave Energy Converter

Today, due to the limited supply and rapid consumption of fossil fuels, transitioning towards renewable energy supplies has become more important than ever. The purpose of this paper is to present a new linear permanent magnet vernier machine structure which is designed to capture wave energy and improve the performance of the prototype vernier machine. By halving the proposed vernier machine, amending gear ratio and changing the shape of permanent magnet (PM) and teeth, the performance of the proposed vernier machine increases compared to the prototype vernier machine. This novelty causes the proposed vernier machine to be lighter, more economical and more efficient than the prototype vernier machine. Moreover, the main parameters of the proposed vernier machine compared to the prototype vernier machine are improved, so that in the proposed vernier machine, induced voltage, PM flux and thrust force are increased by 30, 68 and 27% respectively. In addition, the ripple of thrust force is reduced by 5%, and the self-inductance is diminished by 55%. All analyses have been performed in the same conditions with the finite element method using Ansys Maxwell software.
Purification of 7α-hydroxysteroid dehydrogenase from Escherichia coli strain 080

Purification studies of 7α-hydroxysteroid dehydrogenase (7α-HSDH) (EC 1.1.1.159) from Escherichia coli 080 showed that 1.59-fold purification could be achieved by heating (60 °C for 10 min) the ultracentrifuged enzyme preparation, and 6.46-fold purification was achieved by subsequent precipitation with ammonium sulfate. Further purification on Sephadex G-100 gel gave 10.1-fold purification. After pooling and concentrating the active fractions obtained from the Sephadex G-100 filtration, an 11.1-fold purification was achieved using DEAE-cellulose chromatography. The purified enzyme produced a single band on polyacrylamide gel electrophoresis and its molecular weight was determined to be 54 000. The enzyme was immunogenic and showed immunoprecipitation with homologus antisera. Key words: 7α-hydroxysteroid dehydrogenase, Escherichia coli.