Miracle-dz/UniFAR-FTUs huggingface dataset:
Cross-layer design of multi-hop wireless networks

M ULTI -hop wireless networks are usually defined as a collection of nodes equipped with radio transmitters, which not only have the capability to communicate each other in a multi-hop fashion, but also to route each others’ data packets. The distributed nature of such networks makes them suitable for a variety of applications where there are no assumed reliable central entities, or controllers, and may significantly improve the scalability issues of conventional single-hop wireless networks. This Ph.D. dissertation mainly investigates two aspects of the research issues relating to the efficient multi-hop wireless networks design, namely: (a) network protocols and (b) network operations and management (O&M), both in a cross-layer design paradigm to ensure the notion of service quality, such as quality of service (QoS) in wireless mesh networks (WMNs) and quality of information (QoI) in wireless sensor networks (WSNs). Throughout the presentation of this Ph.D. dissertation, different network settings are used as illustrative examples, however the proposed algorithms, methodologies, protocols, and models are not restricted in the considered networks, but rather have wide applicability. First, this dissertation proposes a cross-layer design framework integrating distributed proportional-fair scheduling, QoS routing, and connection admission control algorithms, while using WMNs as an illustrative example. The proposed approach has significant performance gain compared with conventional network protocols and other recent research outputs. Second, this dissertation proposes a runtime, quantitative feedback control methodology to estimate the network capacity for any packet network, by modeling the network as a black box, where a generic admission control scheme is also developed to perform QoS control for the new connection. Third, this dissertation further enhances the previous designs by proposing a negotiation process, to bridge the applications’ service
Effect of biofertilization and organic manuring on soil dehydrogenase activity, macronutrients and essential oil content of marjoram.

WO FIELD experiments were carried out at an organic farm . (Minoufia Governorate) during 20052006 and 2006-2007 seasons to study the interaction effect of biofertilization and organic manuring on dehydrogenase, polyphenol oxidase and peroxidase activity, macronutrients uptake, oil yield and oil composition of marjoram. Greater activities of dehydrogenase, peroxidase and polyphenol oxidase were obtained in soil and marjoram treated with combination of biofertilizers and organic manure than soil treated with biofertilizers or organic manure. The greatest activities of peroxidase and polyphenol oxidase were obtained with the treatment of biofertilization combined with full dose of organic manure. Similar results trend was observed with N, P and K uptake because N, P and K uptake by marjoram were greater with dual application of biofertilization and organic manure than other treatments. There is no significant difference between oil yield obtained with chemical fertilization treatment and biofertilizers combined with full dose of organic manure treatment. Fourteen compounds, accounting for more than 97 % of the total volatiles components in most marjoram samples were detected and identified. Dual application of organic manure and biofertilization to soil and marjoram produced maximum percent of terpinen-4-ol (the major compound in marjoram oil) compound in marjoram.
3D Skeleton Algorithm Using Level-progressive

In this paper,we introduced a new algorithm for extracting skeletal curves.First,a few faces,the prominent feature faces,were computed by multi-dimensional scaling(MDS). The algorithm which is based on the center of the feature faces and clustering made a pre-processing on the 3D models.Second,according to the seed which is the feature faces,getting a hierarchical segmentation of mesh by Gaussian curvature,k-ring strip growing algorithm was used.Calculated the center of each level and connect the center.At last,connected the line of the skeleton point for getting the whole skeleton.Experimental results show that the method is correct and effective.
THREE-DIMENSIONAL INTEGRAL FIELD OBSERVATIONS OF 10 GALACTIC WINDS. I. EXTENDED PHASE (≳10 Myr) OF MASS/ENERGY INJECTION BEFORE THE WIND BLOWS

In recent years, we have come to recognize the widespread importance of large-scale winds in the life cycle of galaxies. The onset and evolution of a galactic wind is a highly complex process which must be understood if we are to understand how energy and metals are recycled throughout the galaxy and beyond. Here we present three-dimensional spectroscopic observations of a sample of 10 nearby galaxies with the AAOmega-SPIRAL integral-field spectrograph on the 3.9 m Anglo-Australian Telescope, the largest survey of its kind to date. The double-beam spectrograph provides spatial maps in a range of spectral diagnostics: [O iii]5007, Hβ, Mg b, Na d, [O i]6300, Hα, [N ii]6583, [S ii]6717, 6731. We demonstrate that these flows can often separate into highly ordered structures through the use of ionization diagnostics and kinematics. All of the objects in our survey show extensive wind-driven filamentation along the minor axis, in addition to large-scale disk rotation. Our sample can be divided into either starburst galaxies or active galactic nuclei (AGNs), although some objects appear to be a combination of these. The total ionizing photon budget available to both classes of galaxies is sufficient to ionize all of the wind-blown filamentation out to large radius. We find, however, that while AGN photoionization always dominates in the wind filaments, this is not the case in starburst galaxies where shock ionization dominates. This clearly indicates that after the onset of star formation, there is a substantial delay (≳10 Myr) before a starburst wind develops. We show why this behavior is expected by deriving “ionization” and dynamical timescales for both AGNs and starbursts. We establish a sequence of events that lead to the onset of a galactic wind. The clear signature provided by the ionization timescale is arguably the strongest evidence yet that the starburst phenomenon is an impulsive event. A well-defined ionization timescale is not expected in galaxies with a protracted history of circumnuclear star formation. Our three-dimensional data provide important templates for comparisons with high-redshift galaxies.
Conformance Checking of Components Against Their

Conformance checking of a component is a testing method to see ifan implementation and its executable speciﬁcation are behaviorallyequivalent relative to any interactions performed on the implementa-tion. Suchcheckingiscomplicatedbythepresenceofnon-determinismin the speciﬁcation: the speciﬁcation may permit a set of possiblebehaviors. We present a new method to automatically derive a com-ponent that manages all of the angelic non-determinism for an ar-bitrary implementation/speciﬁcation pair. The new component justplugs in; no instrumentation of any implementation is necessary.Conformance checking thus helps to keep high-level non-determinsticspeciﬁcations of components and their low-level implementations insync.Microsoft ResearchMicrosoft CorporationOne Microsoft WayRedmond, WA 98052http://www.research. microsoft.com
Making movies with your PC

From the Publisher: Discover the cinematic elements exploited by filmmakers from Chaplin to Spielberg to create your own effective, professional multimedia presentations at home! Making Movies with Your PC explains the workings of digital video and how you can use this powerful technology to create your own digital movies. Drawing upon their extensive experience in the video and multimedia industries, authors Hone and Kuntz reveal tricks of the trade and show you how to: integrate audio, video, and graphics; combine animation and live-action; incorporate special effects to add sizzle to your video clips. The authors also demonstrate the use of current digital video editing software such as Adobe Premiere for Windows and Digital Morph to edit and produce exciting digital movies. In addition, you learn valuable production techniques, such as dialog cutting, blue screening, audio mixing, and using special effects such as morphing, and more! You also learn the theory behind communicating effectively in the visual world, including the "grammar" of video editing - how to fabricate a reality for the viewer; the power of montages - how to mix images to create compelling, impressionistic sequences; the method of conceptual compression - how to use few images to tell a larger, complex story. Throughout this extensively illustrated book, you are shown examples of camera setups, storyboards demonstrating sequences of shots, and screen shots.
Automated Absolute Field Calibration of GPS Antennas in Real-Time

A procedure for the absolute field calibration of GPSantennas has already been presented earlier by this group with encouraging results. Further developments have now led to an automated procedure based on the precisely controlled motion of a calibrated robot. The field calibration includes new features and provides results in real-time. The new concept is based on GPS field observations in several thousand different antenna orientations (rotations, tilts), and eliminates the multipath influences. Due to these features, also azimuthal phase center variations can be determined with reliability and high resolution. The results are also valid for very low elevations down to zero degrees. Experiences demonstrate large azimuthal PCV variations for some antenna types. The reliability of the results for an individual antenna is confirmed through multiple calibrations at different sites, with different robots and different observation schedules. The absolute calibration results are used in various applications (small engineering networks, large networks, etc.) and show the advantages and the need for precise absolute PCV information.
Expression of Personality by Gaze Movements of an Android Robot in Multi-Party Dialogues*

In this study, we describe an improved version of our proposed model to generate gaze movements (eye and head movements) of a dialogue robot in multi-party dialogue situations, and investigated how the impressions change for models created by data of speakers with different personalities. For that purpose, we used a multimodal three-party dialogue data, and first analyzed the distributions of (1) the gaze target (towards dialogue partners or gaze aversion), (2) the gaze duration, and (3) the eyeball direction during gaze aversion. We then generated gaze behaviors in an android robot (Nikola) with the data of two people who were found to have distinctive personalities, and conducted subjective evaluation experiments. Results showed that a significant difference was found in the perceived personalities between the motions generated by the two models.
Bench-mark solution for a penny-shaped hydraulic fracture driven by a thinning fluid

The paper presents a solution for axisymmetric propagation of a penny-shaped crack driven by a thinning fluid. The solution to the accuracy of four significant digits, at least, is obtained on the basis of the modified formulation of hydraulic fracture problem by employing the particle velocity, rather than conventionally used flux. This serves to properly organize iterations in the opening after reducing the problem to the self-similar form. Numerical results obtained show relatively small dependence of self-similar quantities (fracture radius, propagation speed, opening, particle velocity, pressure, flux) on the behavior index of a thinning fluid. The results provide bench marks for the accuracy control of truly 3D simulators and they serve for assigning an apparent viscosity when simulating the action of a thinning fluid by replacing it with an equivalent Newtonian fluid.
International Review of Research in Open and Distributed Learning Analysis of Social Media Influencers and Trends on Online and Mobile Learning

Although educational practitioners have adopted social media to their online or mobile communities, little attention has been paid to investigate the social media messages related to online or mobile learning. The purpose of this research is to identify social media influencers and trends by mining Twitter posts related to online learning and mobile learning. We identified the influencers on Twitter by three different measures: the number of tweets posted by each user, the number of mentions by other users for each user, and the number of retweets for each user. We also analyzed the trends of online learning and mobile learning by the following perspectives: the descriptive statistics of the related tweets, the monthly and hourly line charts of the related tweets, the descriptive statistics of the related retweets, the volume trends of the most retweeted tweets, and the top 10 hashtags of the related tweets. The results of this study can provide educational practitioners different ways of understanding and explaining the public opinions toward online learning and mobile learning.
A REVIEW ON VOICE ACTIVITY DETECTION AND MEL-FREQUENCY CEPSTRAL COEFFICIENTS FOR SPEAKER RECOGNITION (TREND ANALYSIS)

ABSTRACTObjective: The objective of this review article is to give a complete review of various techniques that are used for speech recognition purposes overtwo decades.Methods: VAD-Voice Activity Detection, SAD-Speech Activity Detection techniques are discussed that are used to distinguish voiced from unvoicedsignals and MFCC- Mel Frequency Cepstral Coefficient technique is discussed which detects specific features.Results: The review results show that research in MFCC has been dominant in signal processing in comparison to VAD and other existing techniques.Conclusion: A comparison of different speaker recognition techniques that were used previously were discussed and those in current research werealso discussed and a clear idea of the better technique was identified through the review of multiple literature for over two decades.Keywords: Cepstral analysis, Mel-frequency cepstral coefficients, signal processing, speaker recognition, voice activity detection.
VXLAN DCI Using EVPN

This document describes how Ethernet VPN (E-VPN) technology can be used to interconnect VXLAN or NVGRE networks over an MPLS/IP network. This is to provide intra-subnet connectivity at Layer 2 and control- plane separation among the interconnected VXLAN or NVGRE networks. The scope of the learning of host MAC addresses in VXLAN or NVGRE network is limited to data plane learning in this document.
A Study on the Effect of Customer Usage on the Intention of Continuously Coffee Brand App based on UTAUT Model

Due to the spread of COVID-19, the use of mobile applications is increasing in coffee shops as activities that have been conducted face-to-face are being carried out non-face-to-face. The purpose of this paper is to make strategic suggestions to positively improve the continuous use intention of coffee shop mobile applications by checking the effect of the expanded integrated technology acceptance model and online review. An online survey was conducted on mobile and statistical analysis used the PLS structural equation model. As a result, it is expected that the satisfaction with the use of coffee shop applications and the influence of online reviews in customer experience will recognize positive values, affect the intention to continue using them
Web Development based on Django and Python

With the development of Web technology and software engineering,people gradually put forward the requirement of agile development.Traditional web framework such as Struts,Spring,. NET,and so on,can not meet the requirement because of their complexity.Django is excellent Web framework developed with Python.As a open source agile framework,has attracted more and more attentions.This article introduced the features of Django and Python.Through the creation of a simple blog system,we introduce the the development of Web applications base Python and Django.
Sample Self-Revised Network for Cross-Dataset Facial Expression Recognition

Facial images with low quality, subjective annotation, severe occlusion, and rare subject identity can lead to the existence of outlier samples in facial expression datasets. These outlier samples are usually far from the center of the dataset in the feature space, resulting in huge differences in feature distribution, which severely restricts the performance of cross-dataset facial expression recognition (FER). To eliminate the influence of outlier samples on cross-dataset FER, we propose an unsupervised domain adaptation (UDA) method called Sample Self-Revised Network (SSRN), which 1) dynamically detects the outlier level of each sample in the source domain to reduce the disturbance of outlier samples to the model training, as well as 2) adaptively revises outlier samples in the source domain to improve transferability of the learned features. Experimental results show that our SSRN outperforms both classic deep UDA methods and state-of-the-art cross-dataset FER results.
Evaluating Time Series Database Management Systems for Insurance Company

This paper provides the criteria and sources of information that an insurance company should consider when evaluating time series databases for its needs. The company wanted to select either QuestDB or Graphite in order to replace InfluxDB. Selecting a new database is an important process. Like any other successful database management system, the database selected today begins to define the legacy of the company’s future. There are many different parameters that can be used by the company to evaluate the time series database alternatives, and there is no single most correct process for conducting this evaluation. Not only are there many possible pertinent evaluation criteria, but there also is typically a degree of uncertainty about the requirements and characteristics of the target application environment. This paper focuses on evaluation criteria, with emphasis on horizontal scalability and performance.
Effect of API on Powder Flowability, Direct Compression and Properties of Orally Disintegrating Tablets: A Preformulation Study

The aim of the study was to analyze the effect of the active pharmaceutical ingredient on the flowability of the powder and properties of tablets prepared using direct compression method. Each analyzed formulation contained one model active pharmaceutical ingredient, diphenhydramine, ketoprofen or loratadine. Granulometric properties of the powder formulations were determined based on bulk density prior and after compression, Hausner ratio, Carr index and angle of repose values. The analysis of manufactured tablets included determination of their hardness, thickness, mass, disintegration time, wettability, contact angle and swelling index values. The preformulation study confirmed that characteristics of the active pharmaceutical ingredient might have modified physicochemical properties of both powder formulations and tablets.
The Effect of Non-face-to-face Collaboration System Quality on Business Performance

As the COVID-19 pandemic persists, companies are rapidly shifting to non-face-to-face work by expanding telecommuting and introducing platforms tailored to the non-face-to-face work environments. Therefore, this study was intended to verify the effects of non-face-to-face collaboration system quality on work efficiency and business performance. To that end, a questionnaire survey was conducted with project team members who had work experience using a non-face-to-face collaboration system, and empirical analysis was conducted through statistical analysis of the collected data. The results of the study indicated that the quality of non-face-to-face collaboration systems had positive effects on work efficiency and business performance. In addition, it was shown that work efficiency positively affects business performance. Consequently, it was identified that non-face-to-face collaboration systems play an important role in improving work efficiency and ultimately improving business performance. The foregoing suggests that in the trend of emphasizing efficient utilization of non-face-to-face collaboration systems increasing worldwide, the construction of a non-face-to-face collaboration system that reflected work efficiency first can enhance the competitiveness of firms and improve management.
Titanium Alkoxide-Based Method for Stereoselective Synthesis of Functionalized Conjugated Dienes

Treatment of an internal acetylene such as 1-silyl-1-octyne (3) with a low-valent titanium reagent, (η2-propene)Ti(O-i-Pr)2 (1) readily prepared from Ti(O-i-Pr)4 and i-PrMgCl in situ, generates an acetylene−titanium complex. This complex was allowed to react with a terminal acetylene, 4-(benzyloxy)-1-butyne (5), to give the intermediate titanacyclopentadiene (6) which, upon hydrolysis, deuteriolysis, or iodinolysis, gave diene 8, or its bis-deuterated (>99% d2) and bis-iodinated counterparts (9 and 10), in good yields and with high selectivities. This reaction is applicable to the cross-coupling reaction of functionalized acetylenes such as 2-alkynoates and 2-alkynamides 12−18 and a variety of terminal acetylenes 24−28 to give dienes 36−50 in good yields. A terminal acetylene 28 carrying an olefinic bond at the other terminus reacted with a silylpropiolate to afford the expected diene 42 without any complication.
Estimation of Aqueous Solubility for a Diverse Set of Organic Compounds Based on Molecular Topology.

An accurate and generally applicable method for estimating aqueous solubilities for a diverse set of 1297 organic compounds based on multilinear regression and artificial neural network modeling was developed. Molecular connectivity, shape, and atom-type electrotopological state (E-state) indices were used as structural parameters. The data set was divided into a training set of 884 compounds and a randomly chosen test set of 413 compounds. The structural parameters in a 30−12−1 artificial neural network included 24 atom-type E-state indices and six other topological indices, and for the test set, a predictive r2 = 0.92 and s = 0.60 were achieved. With the same parameters the statistics in the multilinear regression were r2 = 0.88 and s = 0.71, respectively.
An adapted full model for TCP latency

This paper proposes a full model of short TCP latency by considering the loss property of a transformation channel and the slow start period after timeout. First we describe the latency of the TCP initial slow start period without packet losses and then we deduce the full model of short TCP latency. Based on the validation of real experiments on the Internet, this model is shown to be suitable for a large range of loss probability and can accurately simulate the practical TCP data flow transmission.
A Diethyleneglycol‐Pyrene‐Modified Ru(II) Catalyst for the Design of Buckypaper Bioelectrodes and the Wiring of Glucose Dehydrogenases

: A novel water-soluble Ru complex bearing phenanthrolinequinone ligands, diethyleneglycol linkers and pyrene anchoring groups was synthesized. Electrical wiring of NAD-and FAD-dehydrogenases is demonstrated via NADH oxidation and mediated electron transfer respectively. Bioelectrocatalysis is facilitated by the flexible and hydrophilic PEG groups, and strong binding of pyrene groups with the carbon nanotubes (CNTs) of the electrodes. Furthermore, owing to the surfactant properties of the PEG-modified complex, high quality CNT dispersions were obtained for homogeneous buckypaper preparation.