Miracle-dz/UniFAR-FTUs huggingface dataset:
Interference Constrained Relay Selection of D2D Communication for Relay Purpose Underlaying Cellular Networks

Relay is a type of application of Device-to-Device (D2D) communication which could optimize the system capacity over the shared uplink (UL) resources while fulfilling prioritized cellular service constrains. In this paper, we consider D2D communication for relay purpose assists User Equipments (UEs) to communicate with Base Station (BS). For constraining the interference from D2D communication to cellular communication in the permitted range by system, we analyze the transmission rate from D2D UE. Further, we deduce a relay selection rule based on the interference constraining. Then, we apply the KM algorithm and the greedy algorithm as two types of selection methods to select different relay for every relay-needed UE according to the selection rule. The numerical simulations results show the sum-rate can be improved by selecting the relays according to the selection rule, and KM algorithm achieves a slightly higher sum-rate than that of greedy algorithm based on the relay selection rule.
A new MFCVSSEWOAPAECOR ( Memory Fast Convergence Variable Step Size Exponentially Weighted Affine Projection Algorithm with Error Autocorrelation ) algorithm used in smart antenna networks

Rezumat. În acest articol este prezentat un algoritm adaptiv utilizat pentru formarea caracteristicii de radiație în sistemele de antene inteligente [8]. Algoritmul propus are la bază algoritmul cu proiecţii APA (Affine Projection Algorithm). Este de asemeni propusă o metodă de calcul a matricii de proiecție cu ajutorul unor vectori de proiecție de ordin superior. Acești vectori au o lungime superioară ordinului de proiecție și sunt constituiți din elemente ale vectorului anterior și următorul eșantion al semnalului de intrare. Algoritmul propus este testat în condițiile unui zgomot cu distribuție alfa – stabilă prezent pe canalul de comunicații și rezultatele obținute sunt superioare celor obținute în cazul utilizării unor algoritmi clasici precum LMS (Least Mean Squares), VSSLMS (Variable Step Size LMS), RLS (Recursive Least Squares) sau GAMSAPA (Gradient Adaptive Matrix Step Size APA). Cuvinte cheie: algoritmi adaptivi, sisteme de antene inteligente, algoritmul APA, metoda „supra-eșantionării. ” Abstract. In this paper a new adaptive algorithm used for beamforming in smart antenna systems is described [8]. The proposed algorithm is based on the APA (Affine Projection Algorithm) algorithm. Also a new method for the computation of the projection matrix using superior order projection vectors is proposed. The vectors length is higher than the projection order and they are made up of elements of the previous vector and the next sample of the input signal. The proposed algorithm is tested for the alpha-stable noise distribution present on the communication channel and the results obtained are superior to those obtained using classic algorithms like LMS (Least Mean Squares), VSSLMS (Variable Step Size LMS), RLS (Recursive Least Squares) or GAMSAPA (Gradient Adaptive Matrix Step Size APA).
Dual tree complex wavelet transform and Bayesian estimation based denoising of poission-corrupted X-ray images

Degradation of digital X-ray medical image is usually caused by effects of X-ray scattering and electrical noise etc. But the Quantum noise is the main noise source of X-ray medical images and can be modeled by a Poisson process. An algorithm for image restoration in the presence of Poisson noise is presented in this paper. The approach is based on dual tree complex wavelet transform and Bayesian estimation, the threshold function is derived using Bayesian estimation theory. Compared with the traditional discrete wavelet transform, the method based on dual tree complex wavelet transform and Bayesian estimation has the properties of approximate shift invariance and more directionality, and better results were obtained by using the proposed algorithm in terms of PSNR. The method allows fast and efficient denoising of images obtained under low X-ray radiation conditions.
Substitution of spatial filters from relaxation to motor imagery for EEG based brain computer interface

An offline analysis for electroencephalogram (EEG) based on brain computer interface (BCI) was implemented. Independent component analysis (ICA) was used for separating Mu rhythm in both hemispheres and for generating spatial filters derived from relaxation state and from motor imagery state. The main purpose was to study the substitution of spatial filters from relaxation state to motor imagery one. A motor imagery dataset with 9 subjects was used. In order to extract features from brain signals, power spectral density was calculated for the independent components chosen with equivalent dipole. The classification was evaluated using three classifiers: linear discriminant analysis (LDA), support vector machine (SVM) and k nearest neighbor (kNN). Paired t-test demonstrated that substituted spatial filters and spatial filters from motor imagery were not statistically different.
Cytochalasin B inhibits actin-related gelation of HeLa cell extracts

When the 100,000 g supernatant fraction (extract) of HeLa cells lysed in a buffer containing sucrose, ATP, DTE, EGTA, imidazole, and Triton X- 100 is incubated at 25 degrees C, it gels, and actin and a HMWP are progressively enriched in the extract and in gel isolated from extract. CB (greater than or equal to 0.25 muM) inhibits gelation and specifically lowers the concentrations of actin and the HMWP in the fraction which sediments at 100,000 g after incubation. These results indicate that actin and HMWP are partly disaggregated by cytochalasin treatment, and thus that their aggregation is related gelation. Inasmuch as previous results showed that actin is present and HMWP is enriched in the plasma membrane fraction of HeLa cells, the results also point to a possible relation between plasma membrane-associated gel and in vivo effects of CB.
A Multi-Robot System Architecture for Trajectory Control of Groups of People

How to conduct a group of humans towards a target destination by a team of robots is the key-problem discussed in the present context. A suitable multi-robot system (MRS) architecture has been investigated and implemented for guiding groups of people. The present system can be seen as guiding-tours , nevertheless further than such concept this implementation can be though, or it is closer to the model given by several dogs flocking herds of sheep, guiding them towards a target ed place. Dogs and sheep have a minimal way of explicit communication. Sheep herd’s trajectory is controlled by a team of dogs (even one). The dogs do bark and/or approach to the herd if there is any situation disordering guidance. The proposed context differs from it, since does not exist any type of explicit signal for guidance, and trajectory control is given by a way based on natural reactions of angle-velocity motions between humans and robots. An extensive theoretical description and experimental results are discussed. Recent progress in robotics and artificial intelligence has made possible to bu ild interactive mobile robots that operate highly reliably in crowded environments. There exist in the research field community several works concerned with guiding-tours, nevertheless tackling different problems and/or deploying different architectures. Few successful works concerned with guidingtours have been developed (Nourbakhsh et al., 1999; Thrapp et al., 2001; Burgard et al., 1999). Our context has some differences, such as our system is compounded by a team of mobile robots, due to the importance of th e task our architecture is centralized and deliberative, the MRS controls the people trajectory motion, and communication between robots and people is based on motion reactions. Section 2 discusses in the limits and scope of this research; section 3 details the architectural framework of th e MRS. In section 4 a methodology for people localization by the MRS is presented in deeply. The section 5 briefly describes a proposed strategy for control of the conduction task, while in section 6 the part of robots motion planning is trea ted. Finally, section 7 and 8 shows simulation results of the proposed methodologies, and the conclusions respectively in each section.
Verification of Integrated Specifications using PVS

Properties verification is one of the main topics of interest in formal methods. Indeed, it is essential to prove that specified systems respect some desired properties. Equivalence proofs are important to refine specifications into concrete implementations. In this report, we propose an encoding of an integrated specification language. This language integrates a CCS-like process algebra extended to manage algebraic terms written from datatype definitions. This encoding makes the specification and verification of nontrivial systems possible.
Relating recognition, translation and usability of two different versions of MedSLT

The aim of this paper is to further compare two versions of our spoken language translator MedSLT which differ in terms of grammatical coverage; the first version is restricted to Yes-No answers and short elliptical sentences, while the second version allows all of the above but also full sentences. Previous work in this direction has focused on the relation between Word Error Rate(WER) and task performance (Starlander et al., 2008). In this paper this comparison is extended to study in more detail the task performance with respect to the number of successful interactions and to explain why some utterances could not be correctly recognized. Additionally this paper will explore how these results correlate with the quality of the translation produced by both versions of the systems.
Anchor loss dependence on electrode materials in contour mode resonators

This paper presents a numerical study on the impact of metal electrodes on anchor losses in contour mode resonators (CMRs) operating around 220 MHz. Finite element method (FEM) using perfectly matched layer (PML) technique is used to predict devices responses. Our simulation results show that the FEM model without electrodes gives orders of magnitude higher quality factor than its more complex counterpart that includes metals. Besides, the materials composing the resonator stack change the maximum value of Q as well as the optimal anchor dimensions at which the maximum is found. Consequently, the anchor width and length are proven to be the most influential geometrical parameters and this important finding could directly affect the resonator's design rules. On top of that, the electrode material is the key to evaluate acoustic losses and cannot be excluded from the FEM models. Based on our study, FEM numerical tools greatly benefit the prediction of the quality factor dependence achieved via geometrical design and acoustic matching between the electrodes and the active piezoelectric layer.
Adapting language models for frequent fixed phrases by emphasizing n-gram subsets

In support of speech-driven question answering, we propose a method to construct N-gram language models for recognizing spoken questions with high accuracy. Question-answering systems receive queries that often consist of two parts: one conveys the query topic and the other is a fixed phrase used in query sentences. A language model constructed by using a target collection of QA, for example, newspaper articles, can model the former part, but cannot model the latter part appropriately. We tackle this problem as task adaptation from language models obtained from background corpora (e.g., newspaper articles) to the fixed phrases, and propose a method that does not use the taskspecific corpus, which is often difficult to obtain, but instead uses only manually listed fixed phrases. The method emphasizes a subset of N-grams obtained from a background corpus that corresponds to fixed phrases specified by the list. Theoretically, this method can be regarded as maximizing a posteriori probability (MAP) estimation using the subset of the N-grams as a posteriori distribution. Some experiments show the effectiveness of our method.
Convoy tracking in Doppler blind zone regions using GMTI radar

In this paper, the problem of tracking convoys using Ground Moving Target Indicator (GMTI) radar systems is investigated. Some relevant techniques are reviewed. An approach to exploit group information, road map, and Doppler blindness information in convoy tracking is proposed. Simulated measurement data are used to evaluate the performance against a generic Global Nearest Neighbor (GNN) tracker using unscented Kalman filter (UKF). The results demonstrate improved tracker performance in terms of track continuity and estimation errors.
Demographic Changes and Economic Growth: Empirical Evidence from Asia

This Article is brought to you for free and open access by The Ames Library, the Andrew W. Mellon Center for Curricular and Faculty Development, the Office of the Provost and the Office of the President. It has been accepted for inclusion in Digital Commons @ IWU by the faculty at Illinois Wesleyan University. For more information, please contact digitalcommons@iwu.edu. ©Copyright is owned by the author of this document. Recommended Citation Song, Sijia, "Demographic Changes and Economic Growth: Empirical Evidence from Asia" (2013). Honors Projects. Paper 121. http://digitalcommons.iwu.edu/econ_honproj/121 brought to you by CORE View metadata, citation and similar papers at core.ac. uk
A class-based acceptability measure for persian light verb constructions

Light verb constructions (LVCs), also known as compound verbs, require spacial treatment within a computational system. Recently, there has been some work on the automatic identification of LVCs, in resource-rich languages, such as English. Our goal is to adapt such existing techniques for the automatic treatment of LVCs in an under-resourced language, such as Persian. We focus on the most common subclass of Persian LVCs which are noun+verb constructions. LVCs are often formed semi-productively: Although a light verb occurs with a wide range of nouns, it tends to productively combine with certain semantic classes to form LVCs. We expand an existing measure of determining LVC acceptability (for English) to make explicit use of semantic classes of nouns (in Persian). We show that this new class-based acceptability measure outperforms the original measure, when applied to Persian candidate LVCs.
Antimicrobial Susceptibility Pattern, Biochemical Characteristics and Biotyping of Salmonella paratyphi A: An Impact of Biofield Treatment

Enteric fever is a major global problem. Emergence of antimicrobial resistance threatens to render current treatments ineffective. The current study was attempted to investigate the effect of biofield treatment on Salmonella paratyphi A (S. paratyphi A) in terms of antimicrobial susceptibility assay, biochemical characteristics and biotyping. S. paratyphi A strain were procured from MicroBioLogics in sealed packs bearing the American Type Culture Collection (ATCC 9150). The study was conducted in revived and lyophilized state of S. paratyphi A. Both revived (Group; Gr. II) and lyophilized (Gr. III) strain of S. paratyphi A were subjected to Mr. Trivedi’s biofield treatment. Revived treated cells was assessed on day 5 and day 10, while lyophilized treated cells assessed on day 10 after biofield treatment with respect to control (Gr. I). The antimicrobial susceptibility of S. paratyphi A showed significant (60%) alteration in revived treated cells (Gr. II) on day 10 as compared to control. The MIC values of S. paratyphi A also showed significant (53.12%) alteration in Gr. II and on day 10 while, no alteration was found in Gr. on day 5 as compared to control. It was observed that overall 18.18% biochemical reactions were altered in the treated groups with respect to control. Moreover, biotype numbers were substantially changed in Gr. II, on day 5 (53001040, S. paratyphi A), on day 10 (57101050, Citrobacter freundii complex) as compared to control (53001000, S. paratyphi A). Besides, biotype number was also changed in Gr. III (53001040, S. paratyphi A) as compared to control. The overall result suggested that biofield treatment had significant impact on S. paratyphi A in Gr. II on day 10 with respect to antimicrobial susceptibility, MIC values and biotype number.
Development of motor control unit for induction machine of electric micro mobility

Electric vehicle appears to be one of the valuable solutions for environmental protection and the fast rate of depletion of world fuel oil supply. In particular, due to an increase in the elderly population and aging of a megacity, the need for electric micro mobility is even more apparent. Electric vehicles have serious disadvantages because of the limitation on cruising range imposed by weight, capacity of the electric accumulators and long recharging time. However the electric micro mobility is mainly focused on short-range movement and is personal transportation for one or two passengers. Improvement of efficiency and downsizing of motor control unit is an important issue in the micro mobility. In this paper, an electric micro mobility driving system is developed and the performance of the motor control unit is verified through tests. The evaluation is demonstrated experimentally.
The oxygen uptake slow component at submaximal intensities in breaststroke swimming

Abstract The present work proposed to study the oxygen uptake slow component (VO2 SC) of breaststroke swimmers at four different intensities of submaximal exercise, via mathematical modeling of a multi-exponential function. The slow component (SC) was also assessed with two different fixed interval methods and the three methods were compared. Twelve male swimmers performed a test comprising four submaximal 300 m bouts at different intensities where all expired gases were collected breath by breath. Multi-exponential modeling showed values above 450 ml·min−1 of the SC in the two last bouts of exercise (those with intensities above the lactate threshold). A significant effect of the method that was used to calculate the VO2 SC was revealed. Higher mean values were observed when using mathematical modeling compared with the fixed interval 3rd min method (F=7.111; p=0.012; η2=0.587); furthermore, differences were detected among the two fixed interval methods. No significant relationship was found between the SC determined by any method and the blood lactate measured at each of the four exercise intensities. In addition, no significant association between the SC and peak oxygen uptake was found. It was concluded that in trained breaststroke swimmers, the presence of the VO2 SC may be observed at intensities above that corresponding to the 3.5 mM-1 threshold. Moreover, mathematical modeling of the oxygen uptake on-kinetics tended to show a higher slow component as compared to fixed interval methods.
A 686Mbps 1.85mm2 near-optimal symbol detector for spatial modulation MIMO systems in 0.18μm CMOS

Targeting the spatial-modulation (SM) MIMO systems, a symbol detector is designed, implemented, and verified. The detector is designed based on a low-complexity dual datapath architecture performing the modified signal-vector-based list detection. Implemented in 0. 18μm CMOS, the detector occupies 1.85mm2 and shows the throughput of 686Mbps for 16 × 4 256-QAM SM-MIMO systems. Evaluated under a hardware-in-the-loop environment, the error rate is close to the optimal.
Left Ventricle Tracking in CMR Images for Measuring Myocardial Extracellular Volume Fraction

A computer-assisted tool to efficiently locate left ventricle myocardium centerline contour from short-axis MOLLI sequence of CMR images using a global and local shape tracking algorithm is presented in this paper. The algorithm can track both the changing of ventricle shape due to respiratory motion and the changing of pixel values due to different T I time when an image is scanned through the MOLLI sequence. It increases the measurement efficiency by automating the myocardial extracellular volume fraction Ve calculation for left ventricle, which is important to characterize adverse myocardial remodeling.
Methods of determination of the energy and mass of primary cosmic ray particles at extensive air shower energies

Measurements of cosmic ray particles at energies above E 5 × 10 14 eV are performed by large-area ground-based air shower experiments. Only they provide the collection power required to obtain sufficient statistics at the low flux levels involved. In this review we briefly outline the physics and astrophysics interest of such measurements and discuss in more detail various experimental techniques applied for reconstructing the energy and mass of the primary particles. These include surface arrays of particle detectors as well as observations of Cherenkov and of fluorescence light. A large variety of air shower observables is then reconstructed from such data and used to infer the properties of the primary particles via comparisons to air shower simulations. Advantages, limitations and systematic uncertainties of different approaches will be critically discussed. (Some figures in this article are in colour only in the electronic version; see www.iop.org)
Hepatic Glucose Metabolism in Late Pregnancy

Net hepatic glucose uptake (NHGU) is an important contributor to postprandial glycemic control. We hypothesized that NHGU is reduced during normal pregnancy and in a pregnant diet-induced model of impaired glucose intolerance/gestational diabetes mellitus (IGT/GDM). Dogs (n = 7 per group) that were nonpregnant (N), normal pregnant (P), or pregnant with IGT/GDM (pregnant dogs fed a high-fat and -fructose diet [P-HFF]) underwent a hyperinsulinemic-hyperglycemic clamp with intraportal glucose infusion. Clamp period insulin, glucagon, and glucose concentrations and hepatic glucose loads did not differ among groups. The N dogs reached near-maximal NHGU rates within 30 min; mean ± SEM NHGU was 105 ± 9 µmol⋅100 g liver−1⋅min−1. The P and P-HFF dogs reached maximal NHGU in 90–120 min; their NHGU was blunted (68 ± 9 and 16 ± 17 µmol⋅100 g liver−1⋅min−1, respectively). Hepatic glycogen synthesis was reduced 20% in P versus N and 40% in P-HFF versus P dogs. This was associated with a reduction (>70%) in glycogen synthase activity in P-HFF versus P and increased glycogen phosphorylase (GP) activity in both P (1.7-fold greater than N) and P-HFF (1.8-fold greater than P) dogs. Thus, NHGU under conditions mimicking the postprandial state is delayed and suppressed in normal pregnancy, with concomitant reduction in glycogen storage. NHGU is further blunted in IGT/GDM. This likely contributes to postprandial hyperglycemia during pregnancy, with potential adverse outcomes for the fetus and mother.