Miracle-dz/UniFAR-FTUs huggingface dataset:
Opportunistic Sensing Using mmWave Communication Signals: A Subspace Approach

In this work, we study the joint detection and localization of multiple delay- and Doppler-spread targets through an opportunistic radar exploiting mmWave communication signals. The problem is formulated as the identification of an unknown number of active subspaces in a large family of subspaces, accounting for the possible positions of potential targets in the delay-Doppler domain: the resulting testing problem is composite and multi-hypothesis. At first, we derive a solution based on the generalized information criterion (GIC), whose complexity is however prohibitive; then, we propose an approximated form of the GIC-based receiver and derive two iterative data-adaptive strategies, both extracting and eliminating the superimposed back-scattered subspace signals one-by-one. Leveraging the IEEE 802.11ad standard, a short-range low-mobility application is discussed to validate the merits of the proposed procedures in terms of detection and localization capabilities, robustness to multi-target interference, and achievable resolution.
Thermal structure of continental subduction zone: high temperature caused by the removal of the preceding oceanic slab

The thermal structure of the continental subduction zone can be deduced from high‐pressure and ultra‐high‐pressure rock samples or numerical simulation. However, petrological data indicate that the temperature of subducted continental plates is generally higher than that derived from numerical simulation. In this paper, a two‐dimensional kinematic model is used to study the thermal structure of continental subduction zones, with or without a preceding oceanic slab. The results show that the removal of the preceding oceanic slab can effectively increase the slab surface temperature of the continental subduction zone in the early stage of subduction. This can sufficiently explain the difference between the cold thermal structure obtained from previous modeling results and the hot thermal structure obtained from rock sample data.
Classificação de Sinais de Trânsito Usando Otimização por Colmeias e Random Forest

Resumo – Sinais de trânsito são de grande importância para organização da sociedade e o reconhecimento automático destes sinais está se apresentando como uma excelente ferramenta para diversas aplicações, principalmente em robótica, automação e tecnologias assistivas. Neste artigo, é apresentada uma proposta para resolver o problema de classificação de sinais de trânsito, em que as mascaras para extração de características foram obtidas usando-se o algoritmo de Otimização por colmeias (ABC) e o processo de classificação é realizado usando Random Forest. A abordagem apresenta custo computacional mais baixo do que as abordagens apresentadas no estado da arte. Experimentos preliminares em uma base de dados alemã mostram que os resultados são promissores.
Objective Quality Potential Measures of Natural Color Images

This article deals with estimating the quality of natural color images from the digital image itself, for the purpose of determining whether the quality is sufficient for printing or displaying at some specified quality level. The problem of measuring simply defined parameters that correlate reasonably with human perception is discussed. Then an algorithm is described that measures sharpness, stochastic noise, and the blocking artifact of JPEG compression. The sharpness measure is the maximum of local sharpness, defined as the maximum gradient at an edge divided by the edge contrast. The algorithm behaves fairly consistently with respect to the amount of simulated blur and the measure correlates with the subjective sharpness of different images. The output of the stochastic noise algorithm is an unspecified number of noise levels, each of which is associated with the corresponding mean luminance. The algorithm computes a gradient image using the Sobel filters and uses the bivariate histogram of gradient and luminance to find the noise levels. The gradient filters are suitable for estimating the effect of power spectrum on noise visibility, but the discrimination between image details and noise is only partially solved by this method. The blocking artifact measure describes a characteristic spikiness in the histogram of the Sobel gradient.
The interrelationship between internal marketing, employee perceived quality and customer satisfaction – a conventional banking perspective

Abstract This study explores how internal marketing influences employees’ perceived ability to deliver service quality in the conventional banking industry in Oman. The influence of employee perceived service quality on customer satisfaction is also established. Data was obtained from retail banking branch employees at the customer front line of conventional banks in Oman using electronic surveys. A total of 355 responses were obtained for data analysis. The measurement and structural models were measured through structural equation modelling. The findings reveal that internal price, internal promotion, and internal performance management are influencers of service quality, with the latter having a direct relationship with customer satisfaction. In addition, service quality has a positive influence on customer satisfaction in conventional banks in Oman. The findings can guide conventional banking management in Oman on how internal marketing can promote service quality, ultimately leading to positive customer satisfaction experiences. Internal marketing as a strategy has been explored mostly in established western markets and not in the Middle Eastern region of the world. This study explores different internal marketing mix elements, which have been tested for the enablement of service quality and customer satisfaction in the conventional banking sector of Oman.
Euskarazko on-line artikuluetan aipatutako izendun entitate nabarmenen identifikazioa denbora errealean

Lan honen helburu nagusia, hedabideetako euskarazko edukian aipatzen diren izendun entitate nabarmenen identifikazioa da, identifikazio hau denbora errealean eginez. Horretarako, euskaraz argitaratutako albisteetatik izendun entitateak automatikoki jaso eta etiketatzeko sistema garatu da, artearen egoerako Ikasketa Sakoneko ereduak erabiliz. Izendun entitateen identifikadoreari esker, denbora errealean jasotako albisteetako izendun entitateak etengabe identifikatu eta jasotzen dira, erregistro bat osatuz. Bukatzeko, identifikatutako izendun entitate nabarmenak astero publikatzen dira Wikipediako orri batean, Euskarazko Wikipedian artikulurik ez daukaten entitate nabarmenak erakusteko asmoz.
Capsule Network with Shortcut Routing

This study introduces"shortcut routing,"a novel routing mechanism in capsule networks that addresses computational inefficiencies by directly activating global capsules from local capsules, eliminating intermediate layers. An attention-based approach with fuzzy coefficients is also explored for improved efficiency. Experimental results on Mnist, smallnorb, and affNist datasets show comparable classification performance, achieving accuracies of 99.52%, 93.91%, and 89.02% respectively. The proposed fuzzy-based and attention-based routing methods significantly reduce the number of calculations by 1.42 and 2.5 times compared to EM routing, highlighting their computational advantages in capsule networks. These findings contribute to the advancement of efficient and accurate hierarchical pattern representation models.
A Meta-Invariant Feature Space Method for Accurate Tool Wear Prediction Under Cross Conditions

Cross conditions prediction is a prevalent problem in manufacturing area, where tool wear prediction is a typical one. Existing data-driven methods for tool wear prediction mainly focus on cutting conditions with small variations, which encounters much difficulty under cross conditions with large variations, and the essential is the difference of both marginal distribution and conditional distribution of the data under cross conditions. To address this issue, this article proposes a meta-invariant feature space (MIFS) learning method, where invariant feature space is constructed for paired tasks to close marginal distribution, whose nature law under cross conditions is learned by meta-learning, i.e., MIFS, which can be adapted to achieve accurate tool wear prediction under cross conditions with a small number of new samples. Experimental results provided positive confirmation on the feasibility and accuracy of the proposed method, which can also be readily extended to regression and classification problems in other fields.
The Development of Entrepreneurial Culture Among Students Through Innovation: Case of Sidi Mohamed Ben Abdellah University

Entrepreneurial culture has emerged as a powerful means of development in many countries of the world and can be regarded as a source of innovation and as a key to sustainable unemployment.The national economic outlook, which was established by the High Commission for Planning, predicts economic growth of only 2.6% in 2016, this growth will not provide sufficient employment.Morocco seeks to foster the entrepreneurial spirit of young Moroccans in order to encourage the creation, development of enterprises and the remuneration of investment in the service of employment through various policies that promote the " innovation.Students and university graduates (including students from Sidi Mohamed Ben Abdellah University in Fez) are the most involved social group. Through this research, we will try to describe the entrepreneurial culture of students through a field study.Our article is structured in the following way. In the first part, we try to treat the entrepreneurial culture by trying to take a general look, first of all, on its definition, then on the myths of entrepreneurship. In our second part, we talk about the entrepreneurial culture at the Sidi Mohamed Ben Abdellah University and the promotion of this culture among students through a field survey.Since 2011, the university has also initiated the program "innova project", whose mission is to organize training courses for business creation and innovation for the benefit of students from different institutions.
Lettuce yield and root activity as affected by an ion exchange substrate and mineral nutrition level

ABSTRACT The study involved investigating the effect of ion exchange substrate (IES) addition to a nutrient solution (2% or 5% v/v) on the yield and root parameters of butterhead lettuce (Lactuca sativa L. cv. “Justyna”) under the conditions of basic (1.5-times concentrated Hoagland solution, electrical conductivity, EC 2.41–2.47 dS m−1), and intensive (3-times concentrated Hoagland solution, EC 6.85–7.30 dS m−1) mineral nutrition level. Regardless of the mineral nutrition level, both experimental additions of IES significantly increased the yield and elevated the volume, as well as the whole (WRA) and the active (ARA) adsorptive surface area of roots. It was confirmed that the substrate did not cause salt stress. Additionally, it was revealed that the substrate constitutes a beneficial component of lettuce in non-salinized (basic) or salinized (intensive mineral nutrition level) environment and that the 2% dose was more favorable than 5% dose.
The output characteristic of cantilever-like tactile sensor based on the inverse magnetostrictive effect

The output characteristic model of a magnetostrictive cantilever-like tactile sensor has been founded based on the inverse-magnetostrictive effect, the flexure mode, and the Jiles-Atherton model. The magnetostrictive sensor has been designed and an output voltage is analyzed under the conditions of bias magnetic field, contact pressure and deflection of cantilever beam. The experiment has been performed to determine the relation among the induced output voltage, bias magnetic field, and pressure. It is found that the peak of the induced output voltage increases with an increasing pressure under the bias magnetic field of 4.8kA/m. The experimental result agrees well with the theoretical one and it means that the model can describe the relation among the induced output voltage, bias magnetic field, and pressure. The sensor with a Galfenol sheet may hold potentials in sample characterization and deformation predication in artificial intelligence area.
Calculation of a confidence interval of semantic distance estimates obtained using a large diachronic corpus

Several methods for detection changes in words semantics and appearance of new word meanings have been suggested. These methods use different techniques of estimating semantic distance between words. They are based both on neural network vector models and on simpler vector representations that use frequencies of n-grams including the studied words. This paper proposes a method for calculation the confidence interval of the semantic distance estimations obtained based on the frequency data of n-grams extracted from the large diachronic corpus. This task is complicated because the question about the law of distribution of frequency fluctuations of words and n-grams, despite a number of studies, remains open. The confidence intervals are calculated by statistic modeling using random permutations of n-gram frequencies. To test the proposed method, estimation of semantic distance between two Russian synonyms is used as an example.
Supply and demand indices and their welfare implications

Despite wide availability of publicly reported price and quantity movements of agricultural commodities, these data alone do not easily allow one to determine whether and to what extent changing market conditions are due to shifts in underlying supply and demand curves. Such information, however, is needed to determine contemporaneous changes in consumer and producer well-being. To address these issues, this paper derives supply and demand indices, links the indices to structural parameters in equilibrium displacement models, and shows how the measures can be used to calculate welfare changes over time. Empirical applications are presented for the US cattle, hog, and chicken sectors and for county-level corn supply. We show that supply and demand improvements have led to significant gains in beef producer and consumer welfare over time. Hog, and especially chicken, supply indices have increased markedly over the past four decades, reflecting significant productivity gains, whereas growth in cattle supply index has stagnated in recent years. We test the validity of the supply and demand indices for livestock, and find they correlate in hypothesized directions with factors such as corn prices, drought, aggregate agricultural total factor productivity, gross national product, and exchange rates. Trends in disaggregate corn supply indices reveal marked heterogeneity across US counties with the largest gains since 1980 being observed in the Dakotas, Kansas, Missouri, and the Mississippi Delta. Many areas of Ohio and Indiana have experienced negative corn supply shocks in 2016–8 relative to 2000. The approaches illustrated in this paper potentially have wide application in the study of many agricultural markets. For example, the supply index is an easy to calculate commodity- and geography-specific alternative to commonly used aggregate total factor productivity measures. The demand, supply, and welfare indices can provide timely information about the economic fundamentals in a market that can be coupled with other data to analyze structural adjustment patterns and rapidly determine changes in the well-being of producers and consumers.
Mitsuokella Jalaludinii Supplementation Improved Nutrient Utilization of Broilers Fed Low-Available Phosphorus Diet

04/June/2020 Approved: 15/October/2020 ABSTRACT Phytase enzyme is supplemented to poultry feed to improve phosphorus (P) availability. Mitsuokella jalaludinii , bacteria isolated from the rumen of cattle, has been reported as a cheaper alternative source of phytase. As much nutrients are trapped within the phytate complex, we hypothesized that the supplementation of M. jalaludinii phytase to poultry feed would enhance nutrient utilization by poultry. In the current study, the efficacy of freeze-dried M. jalaludinii cells (Mj) as feed supplement for broilers fed low-available phosphorus (low-aP) diet was evaluated. Day-old male Cobb raised in battery cages were assigned to three treatment groups [normal-available phosphorus diet with heat-deactivated Mj (DMj); low-aP diet with DMj; and low-aP diet with Mj], each consisting of four replicates (10 birds per replicate) for a 3-weeks feeding period. Feed intake was recorded daily from day 1-21, whereas broilers were weighted at day 1, 7, 14, and 21. Total excreta were collected at day 11-13 and 18-20. At day 21, twelve broilers from each treatment group were slaughtered to collect plasma and tibia. The results showed that Mj significantly enhanced broilers’ live weight and feed conversion ratio compared to the control groups ( p< 0.05). Supplementation with Mj have also enhanced the level of P, Ca, Mn, Cu, and Zn in the sera; and Ca and Mn in the tibia at day 18-20 sampling period ( p< 0.05). As Mj supplementation can enhance nutrient utilization particularly in broilers fed with low-aP diet, it could provide the market with another option in improving broilers’ growth rate
Comparing flow characteristics of viscoelastic liquids in long and short capillaries (entrance effects)

This study is devoted to the analysis of the physical meaning of the difference in the results of the viscosity measurements obtained by using the two-capillary method—carrying on the same flow rate through two circular parallel capillaries of different lengths but the same diameter. Furthermore, there is the other approach for using short capillaries for determination of a value, known as “elongational viscosity,” based on the concept of domination extension at the convergent flow along the inlet of a capillary. The theory of this method dates back to the publication of Cogswell. However, it was shown that this approach is inadequate for polymeric liquids that demonstrate time-dependence effects. In this study, we present experimental data for melts of two polyethylenes of different molecular weights and their mixtures. The data of capillary viscometry are accompanied by measuring their viscoelastic properties. The obtained data showed that the two-capillary method cannot give a chance to estimate “elongational viscosity” for elastic liquids. The difference between the losses in flow through long and short capillaries is treated in the terms of “end correction,” which is determined by the Weissenberg number. Hence, elasticity is the main physical parameter responsible for additional losses in the flow through a short capillary.
Isolation and analysation of soybean agglutinin-specific binding proteins for erythrocyte membrane in different animal species

Abstract Soybean agglutinin (SBA) represents the anti-nutritional molecule in soybean. This molecule agglutinates erythrocytes of several animal species. The specific binding of SBA to glycoprotein of the cellular plasma membrane is necessary for SBA to exert its toxic action. The sensitivity of erythrocyte to SBA for various species is different, however, the pathway is unclear. We aimed to optimise the method of extracting erythrocyte membrane (EM) and to analyse the pathway of the different sensitivity of erythrocyte to SBA in three animals species (rabbit as a rodent, pig as an omnivore, and bovine as a ruminant). The method of low osmotic haemolysis was used to extract the EM. To precipitate the EM, we evaluated the purification effects of three lysis bufferes, including NP-40, RIPA (medium) and RIPA (weak). All SBA-specific binding proteins (SSBP) on erythrocyte membranes were conducted using co-immunoprecipitation (CO-IP) and analysed using liquid chromatography coupled to tandem mass spectrometry (LC-MS-MS (Q-E)). The results showed that NP-40 lysis buffer was the most effective than the other two kinds of lysates to extract EM proteins. Functionally, the SSBP of EM could be divided into three categories in each animal, including cytoskeleton proteins, catalytic enzyme proteins and the functional regulatory proteins. The cytoskeleton proteins were the main different expressed proteins among the EM proteins in pig, rabbit than that in bovine, which may be one important reason for the difference of the SBA sensitivity. This research provides basis to reveal the pathway of SBA-induced hemagglutination differences in erythrocytes in different animal species. Highlights We optimised the method of extracting EM to isolate and identify SSBP in different animal species. NP-40 lysis buffer was the most effective than the other two kinds of lysates to extract EM proteins. Cytoskeleton proteins were the main different expressed proteins among the EM proteins in pig, rabbit, and cow.
Alterations in the Rumen Particle-Associated Microbiota of Goats in Response to Dietary Supplementation Levels of Schizochytrium spp.

Fat rich microorganisms, such as microalgae Schizochytrium spp. , are potential biotechnological tools in the modulation of rumen microbiome towards ecofriendly and high nutritional value end-products. However, limited in vivo trials have been reported on the topic. The aim of this study was to contribute to the knowledge on the effect of fat rich microalgae on the methanogenic and feed degrading particle-associated microbes in goats’ rumen content. For the trial, twenty-four goats were divided into four homogenous clusters (six goats/treatment) according to their fat corrected (4%) milk yield, body weight and age and individually were fed with alfalfa hay and concentrate feeds (F/C = 50/50). The concentrate of the control group (CON) contained no microalgae, while those of the treated groups were supplemented daily with 20 (ALG20), 40 (ALG40), and 60 (ALG60) g of Schizochytrium spp. /goat. The relative abundances of total Archaea, methanogens, Methanomassiliicoccales, Methanobrevibacter spp. , Methanosphaera stadmanae and Methanobacterium formicicum were significantly (p < 0.05) decreased in microalgae-fed goats compared to the CON ones. Moreover, a significant decline in the relative abundances of Firmicutes, Ruminococcus flavefaciens, Butyrivibrio fibrosolvents, and Neocallimastigales in the rumen particle-associated microbiota of microalgae supplemented goats were observed. In conclusion, goats’ diets supplementation with Schizochytrium spp. , could be considered a sustainable nutritional strategy for methanogens inhibition in their rumen particle-associated microbiota.
Adaptive CSMA for Decentralized Scheduling of Multi-Hop Networks With End-to-End Deadline Constraints

Consider a multihop wireless network serving multiple flows in which wireless interference constraints between links are described by a link-interference graph. The timely-throughput of a flow is defined as the throughput of packets of that flow that reach their destination node within a specified deadline, and the weighted timely throughput of the network is their weighted average over the flows with a given set of positive weights. The problem is particularly challenging, and has generally been open, when there is wireless interference between transmissions. We show that a modified CSMA routing-scheduling policy with an appropriate set of attempt probabilities is nearly optimal for maximizing weighted timely-throughput. This policy has the useful property that the routing-scheduling decision for an individual packet is solely a function of its location and time-to-deadline, and so a wireless node does not require knowledge of the global network state. It is easily implementable in a decentralized fashion by the nodes given the attempt probabilities. A gradient-based adaptive CSMA routing-scheduling policy to determine the optimal attempt probabilities is further provided. It moves along the gradient of the timely throughput and converges to a local maximum.