Miracle-dz/UniFAR-FTUs huggingface dataset:
Howdah: Load Profiling via In-Band Flow Classification and P4

The challenges of managing datacenter traffic increase with the complexity and variety of new Internet and Web applications. Efficient network management systems are often required to thwart delays and minimize failures. In this regard, it appears helpful to identify in advance the different classes of flows that (co)exist in the network, characterizing them into different types according to the different latency/bandwidth requirements. In this paper, we propose Howdah, a traffic identification and profiling mechanism that uses Machine Learning and a congestion-aware forwarding strategy to offer adaptation to different traffic classes with the support of programmable data-planes. With Howdah, sender and gateway elements inject in-band traffic information obtained using supervised learning. When a switch or a router receives a packet, it exploits such host-based traffic classification to adapt to a desirable traffic profile, for example, balancing the load. We compare our solutions against recent traffic engineering solutions and show the efficacy of cooperation between host traffic classification and P4-based switch forwarding policies, reducing packet transmission time in datacenter scenarios.
PII: S0730-725X(02)00511-8

MRI reconstruction using super-resolution is presented and shown to improve spatial resolution in cases when spatially-selective RF pulses are used for localization. In 2-D multislice MRI, the resolution in the slice direction is often lower than the in-plane resolution. For certain diagnostic imaging applications, isotropic resolution is necessary but true 3-D acquisition methods are not practical. In this case, if the imaging volume is acquired two or more times, with small spatial shifts between acquisitions, combination of the data sets using an iterative super-resolution algorithm gives improved resolution and better edge definition in the slice-select direction. Resolution augmentation in MRI is important for visualization and early diagnosis. The method also improves the signal-to-noise efficiency of the data acquisition. © 2002 Elsevier Science Inc. All rights reserved.
A power comparison among tests for time reversibility

Since time reversibility (TR) is a necessary condition for an independent and identically distributed (iid) sequence, several tests for TR have been suggested to be applied as tests for model misspecification. In this paper, we compare the power of two well known TR tests against two situations: 1) the fitted model is a linear ARMA when the true data generating process is a nonlinear-in-mean model (either threshold autorregresive or bilinear), and 2) the fitted model is a symmetric GARCH model but the true process belongs to the asymmetric GARCH family (either EGARCH or GJR).
Revisions to Official Data on U.S. GNP: A Multivariate Assessment of Different Vintages

Although there is a substantial literature on revisions to data published by official agencies, relatively little work has been undertaken on multivariate aspects of the data measurement process (DMP) producing different vintages of the GNP variable. This is particularly so for nonstationary time series. With a focus on U.S. real Gross National Product (GNP), we show that a number of interesting questions can be answered within a multivariate framework. Defining a “well-behaved” DMP as one generating a single stochastic trend in a multiple vintage data set, we can then assess whether this is the case for GNP. We also consider whether the short-run properties of the different vintages share the same dynamic structure. Further, given multiple vintages on the same “generic” variable, is it the case that one vintage, for example the final vintage, in a well defined sense, dominates the others, and that alone can be used? We show that the idea of single (final) vintage representation is related to the idea that data revisions arise through measurement errors, and contrast this with the interpretation of revisions as forecast errors. Also, the existence of multiple vintages of GNP enables a different approach to the much-researched question of whether GNP has a unit root. This can be formulated as the null hypothesis of trend stationarity in the multivariate Johansen framework. Inter alia we show the importance of the concept of weak exogeneity, and how tests for stationarity of revisions and homogeneity of vintages can be formulated and tested.
Exclusive processes in quantum chromodynamics

Large momentum transfer exclusive processes and the short distance structure of hadronic wave functions can be systematically analyzed within the context of perturbative QCD. We review predictions of meson form factors, two‐photon processes γγ → MM, hadronic decays of heavy quark systems, and a number of other related QCD phenomena.
THE RELATION OF APPROXIMATELY INNER POSITIVE LINEAR MAPS AND HOMOMORPHISMS OF FINITE VON NEUMANN ALGEBRAS

We discuss the relation of the approximately inner positive linear maps and the homomorphisms of finite von Neumann algebras by considering the relation of the group of automorphisms of a finite von Neumann algebra and the group of inner automorphisms of its algebra. Then we deal with the approximately inner (not necessarily with respect to the unitary operators) positive linear maps of finite von Neumann algebras and examine how they are close to the homomorphisms. Let $M$ be a finite von Neumann algebra, $Aut(M)$ the group of $(^{*}-)$ automorphisms of $M$ and Int$(M)$ the group of inner automorphisms of $M$. If $M$ is a hyperfinite $II_{1}$-factor, then Int$(M)$ is a dense subgroup of $Aut(M)$ in the pointwise strong topology induced by the norm in the predual space of $M$ (for example, see Sakai [4]). Furthermore, if $M$ is a full $II_{1}$-factor, then it is known that Int$(M)$ is a closed subgroup of $Aut(M)$ . In this paper, we deal with the positive linear maps which are approximately inner with respect to operators being not necessarily unitary operators and partial isometries. And we examine how those positive linear maps are close to the homomorphisms. We have some results for this problem (for example see Takemoto [7] and SunouchiTakemoto [6]). Throughout this paper, $M$ means a $\sigmafinite$ , finite von Neumann algebra and Tr means a faithful, normalized normal trace on $M$. Let $\Vert$ $\Vert_{2}$ be the norm defined on $M$ such as $\Vert x\Vert=Tr(x^{*}x)^{1/2}$ for every $x\in M$. In this paper, we shall consider the definition of approximate innerness of positive linear maps with respect to the sequences, but we have the similar results under the definition by using the nets. Thus, we introduce the definition by using the sequences. Hence, we assume that the predual spaces of the von Neumann algebras are 1980 Mathematics subject Classification, $46L10,46L30,46L40$ .
Berti: an Accurate Local-Delta Data Prefetcher

Data prefetching is a technique that plays a crucial role in modern high-performance processors by hiding long latency memory accesses. Several state-of-the-art hardware prefetchers exploit the concept of deltas, defined as the difference between the cache line addresses of two demand accesses. Existing delta prefetchers, such as best offset prefetching (BOP) and multi-lookahead prefetching (MLOP), train and predict future accesses based on global deltas. We observed that the use of global deltas results in missed opportunities to anticipate memory accesses.In this paper, we propose Berti, a first-level data cache prefetcher that selects the best local deltas, i.e., those that consider only demand accesses issued by the same instruction. Thanks to a high-confidence mechanism that precisely detects the timely local deltas with high coverage, Berti generates accurate prefetch requests. Then, it orchestrates the prefetch requests to the memory hierarchy, using the selected deltas.Our empirical results using ChampSim and SPEC CPU2017 and GAP workloads show that, with a storage overhead of just 2.55 KB, Berti improves performance by 8.5% compared to a baseline IP-stride and 3.5% compared to IPCP, a state-of-the-art prefetcher. Our evaluation also shows that Berti reduces dynamic energy at the memory hierarchy by 33.6% compared to IPCP, thanks to its high prefetch accuracy.
From Words to Grammar: Discovering English Usage

Introduction Introducing concordance lines 1. Nouns 2. Personal pronouns 3. Pronouns and determiners 4. Adjectives 5. Prepositions 6. Adverbs 7. Verb patterns 8. Modal auxiliaries 9. Multi-word verbs 10. Question words, relative words and subordinators 11. Multi-functional words (1) 12. Multi-functional words (2) Answers Glossary Index
Concurrent multiscale topology optimization: A hybrid approach

This paper presents a hybrid approach for multiscale topology optimization of structures. The topological shape of both macro-structure and micro-structure are concurrently optimized, based on the solid isotropic material with penalization (SIMP) technique in combination with finite element method (FEM). The material is assumed to have periodically patterned micro-structures, such that the effective properties can be evaluated via energy-based homogenization method (EBHM). In every iteration, the effective properties of material are passed to the macroscopic problem, and the macroscopic behavior (e.g. strain energy) is transferred back to the micro-scale problem, where the unit cell representing the micro-structure of material is determined for the next iteration. It is found that the update process can be done separately, i.e., the sensitivity of macro-scale design variables is not required during the update of micro-scale design variables, and vice versa. Hence, the proposal is that the macro-structure is updated by the gradient-free Proportional Topology Optimization (PTO) algorithm to utilize the computational efficiency of PTO. The micro-structure is still updated by the common gradient-based algorithm, namely Optimality Criteria (OC). Three benchmark numerical examples are investigated, demonstrating the feasibility and efficiency of the proposed hybrid approach.
IS HOMEOSTASIS MODEL ASSESSMENT FOR INSULIN RESISTANCE >2.5 A DISTINGUISHED CRITERIA FOR METABOLIC DYSFUNCTION-ASSOCIATED FATTY LIVER DISEASE IDENTIFICATION?

BACKGROUND Insulin resistance (IR), assessed by different criteria, is an important factor in the pathogenesis of non-alcoholic fatty liver disease (NAFLD). More recently with the characterization of this metabolic dysfunction-associated fatty liver disease (MAFLD), one of the proposed criteria for this diagnosis has been the determination of the homeostasis model assessment-insulin resistance (HOMA-IR). OBJECTIVE The purpose of this study was to evaluate the relationship of HOMA-IR>2.5 with clinical, metabolic, biochemical and histological data obtained in non-diabetic patients diagnosed with NAFLD by liver biopsy. METHODS Cross-sectional, retrospective study was carried out with data from 174 adult individuals of both genders with non-diabetics NAFLD, without obvious signs of portal hypertension. The body mass index (BMI) was classified according to the World Health Organization (1998), and the metabolic syndrome by the criteria of NCEP-ATP-III. Biochemical tests were evaluated using an automated method and insulinemia through immunofluorometric assay. Histological findings were classified according to Kleiner et al. (2005). RESULTS The mean age of the studied population was 53.6±11.2 years, with 60.3% being female. The average BMI was 30.3 kg/m2 and 75.9% of the patients had increased waist circumference. Among evaluated metabolic parameters, there was a higher prevalence of metabolic syndrome (MS) in patients with HOMA-IR>2.5, with no statistical difference in relation to BMI between studied groups. Values of liver enzymes and serum ferritin were significantly higher in patients with this marker of IR, who had a higher prevalence of non-alcoholic steatohepatitis (NASH) and advanced liver fibrosis. In the multivariate analysis, the clinical diagnosis of MS, hyperferritinemia and the presence of NASH in the liver biopsy were the factors independently associated with the presence of altered HOMA-IR. CONCLUSION HOMA-IR values >2.5 identify patients with NAFLD with distinct clinical and metabolic characteristics and with a greater potential for disease progression, which validates this parameter in the identification of patients with MAFLD.
Relationship Between Personality Traits and Violence Involvement -a Study of High School Students in Northern Iraq

Background: violence is considered to be a global phenomenon; committing violence significantly impacts individuals physical and psychological states. There are several risk factors for increasing violence, of which personality traits represent the most substantial risk. Objective: the current research aims to examine the association among the ‘big five’ risk factors and involvement in violence among high school students in the north of Iraq. Methods: The sample comprised 468 students, 242 boys, and 226 girls aged 16 to 20. Two self-report instruments were used for data collection. Firstly, we divided the Maudsly Violence Questionnaire into two factors: acceptance of violence and machismo. Secondly, we used the Big Five Inventory, which includes questions on extraversion, neuroticism, agreeableness, consciousness, and openness. Result: the result showed a significant positive correlation between extraversion, neuroticism, and violence involvement. Agreeableness, openness, and consciousness were negatively correlated. In terms of demographic variables, the findings suggest that boys are more likely to be involved in violence than girls. The results indicated that personality traits neuroticism, extraversion, agreeableness, openness, and consciousness predicted violence. Conclusion: personality traits significantly impact individuals’ behaviors that reflect their lives. The potential for violence is a predictor for detecting and preventing violent actions and could be used in many justices and governmental systems.
Awareness of the General Population about the Effects of Smoking on Health in Saudi Arabia

The objective of this Integrative Literature Review (ILR) is to consider the knowledge on injurious possessions of smoking amongst Saudi general population. Integrative Literature Review (ILR). The search databases for the publications used in the study are PubMed and EBSCO Information Services. Topics concerning knowledge on harmful effects of smoking among Saudi general population were used in the making of the article. No software was exploited for data analysis. The majority of Saudis are aware of the health risks associated with smoking and have seen or read the warnings on cigarette packages. Smokers were unaffected by the influence of cigarette health warnings in terms of quitting. To develop tobacco-free future generations, mass awareness campaigns against tobacco, tobacco control, and cessation measures can be implemented. Many efforts are required from health policymakers and healthcare specialists to distribute info around the dangers of smoking and the health benefits of quitting. This emphasizes the significance of educating the public about pertinent information in order to encourage positive attitudes and encourage healthy behaviors. In conclusion, this research may provide a starting point for understanding how knowledge about tobacco use can promote smoking cessation behaviors. This study emphasizes the necessity for behavior modification tactics that encourage people to adopt healthier habits and has significant ramifications for public healthcare plans while maintaining an optimistic attitude.
Multiscale And Multiresolution Approaches In Turbulence

A Brief Introduction to Turbulence Turbulence Simulation and Scale Separation Statistical Multiscale Modeling Multiscale Subgrid Models: Self-Adaptivity Structural Multiscale Subgrid Models: Small Scale Estimations Unsteady Turbulence Simulation on Self-Adaptive Grids Global Hybrid RANS/LES Methods Zonal RANS/LES Methods.
Characteristic Classes and Integrable Systems for Simple Lie Groups

This paper is a continuation of our previous paper \cite{LOSZ}. For simple complex Lie groups with non-trivial center, i.e. classical simply-connected groups, $E_6$ and $E_7$ we consider elliptic Modified Calogero-Moser systems corresponding to the Higgs bundles with an arbitrary characteristic class. These systems are generalization of the classical Calogero-Moser (CM) systems related to a simple Lie groups and contain CM systems related to some (unbroken) subalgebras. For all algebras we construct a special basis, corresponding to non-trivial characteristic classes, the explicit forms of Lax operators and Hamiltonians.
Cash flow and financial distress of private listed enterprises on the Vietnam stock market: A quantile regression approach

Abstract The study evaluates the influence of cash flow on the financial distress of private listed enterprises on the Vietnamese stock market from 2010 to 2020. We use the data collected from the financial statements of 263 private non-financial enterprises listed on the Ho Chi Minh and Hanoi stock exchanges from 2010 to 2020 in the FinPro database. The quantile regression method was employed to analyze the effect of cash flow on the financial distress of listed non-financial private enterprises. The results show that the cash flow from operating activities and the cash flow from financial activities have negative relationships with financial distress. However, the cash flow from investing activities has a positive relationship. Based on experimental results, the study proposes some recommendations on cash flow forecasting, building an optimal budget model to help business managers have appropriate cash flow management policies to reduce the risk of financial distress.
A high-gain steerable reflective array antenna for V-band wireless communications

Problem statement. To fully utilize the millimeter wave spectrum in 5G systems, it is planned to adopt a heterogeneous network (HetNet) architecture, in which modern 4G Internet access technologies operating within bands below 6 GHz are integrated with new broadband communication systems of the millimeter wavelength range. However, the deployment of heterogeneous networks in urban conditions that are difficult for the propagation of millimeter-wave radio signals imposes special requirements on antenna systems. Therefore, the development of cheap millimeter-range scanning antennas with a high gain and a working frequency band of several gigahertz is an urgent task. Objective. The main purpose of this work was to develop a scanning antenna system of the 60 GHz band with a planar reflector combined with a compact phased array antenna (PAA) module. Results. The measurement results have shown that the developed reflective array antenna within the band of 57.24-65.88 GHz, divided in accordance with IEEE 802.11ad and IEEE 802.11ay standards into four channels with a bandwidth of 2.16 GHz, has a high gain of 20.1-24.5 dBi and is capable of performing electronic beam scanning in the azimuthal plane in the ±15° sector. Moreover, the simulation results have shown that the full coverage sector in the azimuthal plane may potentially amount to ±35°. Practical significance. The use of such antennas at both ends of reconfigurable relay communication lines will allow data to be transmitted over a distance of 100-150 m at a speed of 2.5-4.62 Gbps.
Debt Renegotiations Outside Distress

This paper develops a model to explore the implications of non-distressed debt renegotiation on debt prices and corporate policies. The model incorporates the empirical observation that creditors can influence firms also outside corporate distress through debt covenant renegotiation and not only in distress. We find that considering both distressed and non-distressed creditor interventions is key to investigating how creditor governance affects firms. The model explains cross-sectional patterns of control premiums and credit spreads that traditional debt renegotiation models do not capture. We also derive novel implications for the impact of firm characteristics associated with renegotiation on debt prices and corporate policies.
Two loop computation in superstring theory

In this paper I review some old and new works on the computation of two-loop 4-particle amplitude in superstring theory. I also present the proof by Iengo, showing the vanishing of the term related to the two-loop correction to the $R^4$ term. Finally I will present some recent works on two-loop computation in hyperelliptic language following the new gauging fixing method of D'Hoker and Phong.
Noise signatures of metastable resistivity states in ferromagnetic insulating manganite

Pronounced noise signatures enabling one to discriminate metastable resistivity states in La0.86Ca0. 14MnO3 single crystals have been observed. The normalized noise spectra for metastable resisitivity differ both in shape and magnitude, indicating that the metastable state is associated with transition of the electronic system into another local minimum of the potential landscape. Such scenario is consistent with freezing of the electronic system into a Coulomb glass state.
Isolated Horizons in Numerical Relativity

The isolated horizon framework is applied to numerical relativity. This framework describes black holes which are in equilibrium in a spacetime which is otherwise fully dynamical. We introduce isolated horizons in a way which is directly applicable in numerical evolutions. In particular, we present and numerically implement a coordinate invariant method for calculating the mass and angular momentum of isolated horizons. We also show how isolated horizons can be used to study the local geometry of a black hole and extract invariant gravitational waveforms. We apply some results from the isolated horizon framework to calculate the binding energy between two black holes. This will be useful in comparing different initial data sets which represent similar physical situations. Finally, we also present a method for studying the physics of dynamical black holes. In particular, we derive balance laws relating the flux of matter fields/radiation with the change in the physical parameters of the black hole such as angular momentum and mass.
Computational Study in Chaotic Dynamical Systems and Mechanisms for Pattern Generation in Three-Cell Networks

A computational technique is introduced to reveal the complex intrinsic structure of homoclinic and heteroclinic bifurcations in a chaotic dynamical system. This technique is applied to several Lorenz-like systems with a saddle at the center, including the Lorenz system, the Shimizu-Morioka model, the homoclinic garden model, and the laser model. A multi-fractal, self-similar organization of heteroclinic and homoclinic bifurcations of saddle singularities is explored on a bi-parametric plane of those dynamical systems. Also a great detail is explored in the Shimizu-Morioka model as an example. The technique is also applied to a reflexion symmetric dynamical system with a saddle-focus at the center (Chua’s circuits). The layout of the homoclinic bifurcations near the primary one in such a system is studied theoretically, and a scalability ratio is proved. Another part of the dissertation explores the intrinsic mechanisms of escape in a reciprocally inhibitory FitzHugh-Nagumo type threecell network, using the phase-lag technique. The escape network can produce phase-locked states such as pace-makers, traveling-waves, and peristaltic patterns with recurrently phase-