Miracle-dz/UniFAR-FTUs huggingface dataset:
Les associations de marqueurs discursifs – De la cooccurrence libre à la collocation

The question of the syntagmatic combinatorics of words belonging to the classes commonly addressed by grammatical tradition (such as nouns, verbs, adjectives and adverbs) has been a subject of sustained reflection for several decades. The situation is different for discourse markers (DMs), which have gained substantial interest only recently (toward the end of the 1990s). This article takes as its starting point the idea that DMs are subject to the same types of syntagmatic associations as words belonging to the "ordinary" classes. By analogy with these classes, three types of syntagmatic associations are distinguished in the domain of DMs: the free discursive co-occurrence, the fixed expression (or discursive locution), and the semi-fixed expression (or discursive collocation). Of these types of word associations, the semi-fixed expression proves the most original and the most delicate to examine. It is therefore spe-cifically analyzed in this text, namely through a study of one marker in particular: don ([dɔ]).
Modern heuristic techniques for combinatorial problems

Part 1 Introduction: combinatorial problems local and global optima heuristics. Part 2 Simulated annealing: the basic method enhancements and modifications applications conclusions. Part 3 Tabu search: the tabu framework broader aspects of intensification and diversification tabu search applications connections and conclusions. Part 4 Genetic algorithms: basic concepts a simple example extensions and modifications applications conclusions. Part 5 Artificial neural networks: neural networks combinatorial optimization problems the graph bisection problem the graph partition problem the travelling salesman problem scheduling problems deformable templates inequality constraints, the Knapsack problem summary. Part 6 Lagrangian relaxation: overview basic methodology Lagrangian heuristics and problem reduction determination of Lagrange multipliers dual ascent tree search applications conclusions. Part 7 Evaluation of heuristic performance: analytical methods empirical testing statistical inference conclusions.
The Effect of Polyphenols on Kidney Disease: Targeting Mitochondria

Mitochondrial function, including oxidative phosphorylation (OXPHOS), mitochondrial biogenesis, and mitochondria dynamics, are essential for the maintenance of renal health. Through modulation of mitochondrial function, the kidneys are able to sustain or recover acute kidney injury (AKI), chronic kidney disease (CKD), nephrotoxicity, nephropathy, and ischemia perfusion. Therapeutic improvement in mitochondrial function in the kidneys is related to the regulation of adenosine triphosphate (ATP) production, free radicals scavenging, decline in apoptosis, and inflammation. Dietary antioxidants, notably polyphenols present in fruits, vegetables, and plants, have attracted attention as effective dietary and pharmacological interventions. Considerable evidence shows that polyphenols protect against mitochondrial damage in different experimental models of kidney disease. Mechanistically, polyphenols regulate the mitochondrial redox status, apoptosis, and multiple intercellular signaling pathways. Therefore, this review attempts to focus on the role of polyphenols in the prevention or treatment of kidney disease and explore the molecular mechanisms associated with their pharmacological activity.
Influence of Speech and Cognitive Load on Balance and Timed up and Go

The interaction between oral and/or mental cognitive tasks and postural control and mobility remains unclear. The aim of this study was to analyse the influence of speech production and cognitive load levels on static balance and timed up and go (TUG) during dual-task activities. Thirty healthy young subjects (25 ± 4 years old, 17 women) participated in this study. A control situation and two different cognitive arithmetic tasks were tested: counting backward in increments of 3 and 7 under oral (O) and mental (M) conditions during static balance and the TUG. We evaluated the dual-task cost (DTC) and the effect of speech production (SP) and the level of cognitive load (CL) on these variables. There was a significant increase in the centre of pressure oscillation velocity in static balance when the dual task was performed orally compared to the control situation The DTC was more pronounced for the O than for the M. The SP, but not the CL, had a significant effect on oscillation velocity. There was an increase in TUG associated with the cognitive load, but the mental or oral aspect did not seem to have an influence. Mobility is more affected by SP when the cognitive task is complex. This may be particularly important for the choice of the test and understanding postural control disorders.
Gromov-Witten Theory of Blowups of Toric Threefolds

We use toric symmetry and blowups to study relationships in the Gromov– Witten theories of P3 and P1×P1×P1. These two spaces are birationally equivalent via the common blowup space, the permutohedral variety. We prove an equivalence of certain invariants on blowups at only points of P3 and P1×P1×P1 by showing that these invariants descend from the blowup. Further, the permutohedral variety has nontrivial automorphisms of its cohomology coming from toric symmetry. These symmetries can be forced to descend to the blowups at just points of P3 and P1×P1×P1. Enumerative consequences are discussed.
Key knowledge domains for maritime shipping executives in the digital era: a knowledge-based view approach

With the emergence of disruptive technologies and digital acceleration caused by COVID-19, educating the maritime workforce by equipping them with relevant knowledge is crucial to the industry’s success. Drawing from the knowledge-based view and business logistic management framework, the objective of this study was to construct a framework that identifies and ranks existing and upcoming relevant knowledge domains and their sub-domains for maritime shipping executives. After reviewing the literature, five domains – digitalisation, maritime business, sustainability, personnel development, and supply chain management (SCM) – and 23 sub-knowledge domains were developed. Surveys were conducted with shipping company managers in Singapore and their responses were analysed using the fuzzy analytic hierarchy process methodology. The results revealed that digitalisation knowledge was the most important, followed by maritime business, personnel development, sustainability, and SCM knowledge. Overall, this research has updated the knowledge and competency framework for maritime shipping executives, contributed to research on the interface between technology and knowledge management, and informed education strategies. [ FROM AUTHOR] Copyright of Technology Analysis & Strategic Management is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
Speckle Imaging: a boon for astronomical observations

The speckle imaging is a photographic technique that resolves objects viewed through severely distorted media. The results are insensitive to the errors caused by apparent size of the isoplanatic patch and the telescope aberrations. In this article, a short descriptions of the atmospheric turbulence and its effect on the flat wavefront from a stellar source is presented; the shortcomings of the conventional long-exposure images in the presence of Earth's atmosphere are discussed. The advantages of the speckle interferometric technique over conventional imaging are enumerated. The technical details of the method, basic Fourier optics, data analysis procedures are also described.
Finite Mixture Models with One Exclusion Restriction

This paper characterizes the identified set for finite mixture models with one exclusion restriction on the data‐generating process. It provides necessary and sufficient conditions on the observed data for point identification and for when the identified set has measure zero. The results are illustrated in a simulation study and with data from a randomized controlled trial on chemotherapy for colon cancer as well as with data from an observational study used to estimate returns to schooling.
An In Situ Study to Understand Community Structure of Estuarine Microbes on the Plastisphere

Microplastics are defined as pieces of plastic that are smaller than 5 mm and they are now considered one of the most abundant ubiquitous plastic debris. Microbial communities that settle on particles can potentially lead to the transport of pathogenic and harmful bloom-forming species, as well as have an impact on global biogeochemical cycles. However, little is known about the acclimation of microbes to different types of microplastic in the estuarine environment. In this study, 16S ribosomal RNA sequencing and analysis was performed on biofilm samples from three different types of microplastic beads placed in Baltimore’s Inner Harbor. Microbial communities associated with microplastic particles and glass bead control were monitored throughout the 28-day incubation time. A significant taxonomic composition dissimilarity was observed between particles-associated and free-living communities, suggesting a unique microbial adaptation to these biofilms. The polymer types, however, did not significantly influence the microbial community composition. Some families with interesting potential metabolism were identified in the plastisphere samples, including Cyanobacteria, Planctomycetes, Desulfobacteriota, and Firmicutes, leading into speculation of their ecological responses and metabolic roles in the estuarine environment. It is crucial to understand the microorganisms that inhabit plastic debris in estuarine systems and their potential metabolic capacity and how it may differ from its marine counterparts in order to assess their roles in global nutrient cycles and if they have ability to be utilized in bioremediation for plastic pollution.
Nursing Cooperation of a Case of Leonardo's Robot-assisted Off-pump Whole Artery Small Incision Coronary Artery Bypass Grafting

Objective — To summarize the nursing experience of a case of Leonardo's robot-assisted off-pump total artery small incision coronary artery bypass grafting. Methods — The key points of surgical cooperation included: Preoperative visit and communication with medical staff, detailed understanding of surgical methods, preoperative preparation of items, intraoperative position placement and placement of Leonardo's robot equipment, reasonable arrangement of operating room according to surgical methods and close intraoperative cooperation. Results — The patient was successfully conducted with cardiac surgery with less intraoperative bleeding and was admitted to ICU for further treatment. Tracheal intubation was removed on the 1st postoperative day, and the patient was transferred to cardiac surgery ICU on the 2nd postoperative day. Chest drainage tube was removed on the 6th postoperative day, and the patient was discharged successfully on the 9th postoperative day. Conclusion — Robot-assisted off-pump whole artery small incision coronary artery bypass grafting enjoys obvious advantages over thoracotomy. There is less bleeding in the postoperative with low complication rate, so the pain of patients is reduced with fast the postoperative recovery. Therefore, it won high satisfaction among patients. Good preoperative, intraoperative and postoperative nursing is an important guarantee to promote the rehabilitation of patients.
A Real-Time UWB Location and Tracking System Based on TWR-TDOA Estimation and a Simplified MPGA Layout Optimization

This article designs and implements a 3D moving target positioning and tracking system by using ultrawideband (UWB) technology. The result of the two-way ranging by the time difference of arrival (TWR-TDOA) positioning algorithm is adopted to result in a new resolution that is to resolve the hyperbolic equations. The proposed algorithm is applied to outdoor and indoor scenarios. To minimize the effect of the sensor layout, this article proposes a simplified multi-population genetic algorithm (MPGA) to obtain the optimum distribution of anchors, which can rapidly reduce the number of search iterations. To resolve the low stability of the TDOA algorithm in outdoor and indoor scenarios, the Kalman filter algorithm is utilized to improve the stability and positioning accuracy of this system and a good simulation effect is achieved. The test results show that the system’s positioning error is far less than that of using other methods. The whole system has a feature of high precision, high stability, low complexity, and low cost.
Demographic and job satisfaction variables influencing academic staffs’ turnover intention in Debre Berhan University, Ethiopia

Abstract Academic staff turnover intention is one of the problems facing different universities in Ethiopia. This problem has also become a serious one at Debre Berhan University. Thus, this study aimed to investigate the influence of demographic factors and job satisfaction variables on the academic staff turnover intention at Debre Berhan University. For this purpose, both descriptive and explanatory research designs were employed. The research followed a quantitative research approach. The study used primary data. The data was obtained from 265 academic staff selected from nine colleges using both stratified sampling and simple random sampling techniques. A binary logistic regression model was used to examine the influence of demographic factors and job satisfaction variables. Accordingly, it is found that pay and benefits, working environment, and ethnicity were found to be the significant factors that affect academic staff turnover intention. This study suggests that the management of the university and the Ministry of Education, in order to increase the staff’s salary based on the current labor market, develop different benefits packages such as building them residence houses, providing health insurance and facilitating credit services for different purposes by collaborating with banks and other financial institutions. Besides, the government should ensure political stability by minimizing ethnic-led conflict by avoiding ethnic-based federalism.
Pengaruh Net Operating Working Capital Terhadap Firm’s Value di Indonesia [The Effect of Net Operating Working Capital to the Firm's Value in Indonesia]

The purpose of this study is to understand the effect of net operating working capital to the value of firms in Indonesia. This study also examines whether the effect is positive or negative. The data is 3,166 observations consisting of 427 listed firms in Indonesia Stock Exchange from 2010 to 2019 with certain criterias. The model used in this study is Fixed Effect Model. The result shows that net operating working capital does not have significant effect to the value of firms. The effectivity of investment management on net operating working capital is an important factor to determine the optimality of the use of net operating working capital.BAHASA INDONESIA ABSTRACTTujuan dari penelitian ini adalah untuk mengetahui pengaruh dari net operating working capital terhadap nilai perusahaan yang terdapat di Indonesia. Penelitian ini juga ingin melihat apakah pengaruh tersebut bersifat positif ataukah negatif. Penelitian ini memiliki 3.166 obeservasi yang terdiri dari 427 perusahaan yang terdaftar di Bursa Efek Indonesia sejak tahun 2010 hingga 2019 dengan beberapa kriteria tertentu. Model yang digunakan dalam penelitian ini adalah Fixed Effect Model. Hasil dari penelitian ini membuktikan bahwa net operating working capital tidak memiliki pengaruh yang signifikan terhadap nilai perusahaan. Efektifitas dari pengelolaan investasi pada net operating working capital penting untuk menentukan optimalitas dari penggunaan net operating working capital.
A Faster Method of Moments Solution to Double Layer Formulation of Acoustic Scattering

In this work, the acoustic scattering problem based oil double layer formulation is solved with a novel numerical technique using method of moment's solution. A new set of basis functions, namely, Edge based Adaptive Basis Functions (EABF) are defined in the method of moment's solution procedure. The geometry of the body is divided into triangular patches and basis functions are defined oil the edges. Since the double layer formulation involves the evaluation of the hyper-singular integral, the edge based adaptive basis functions are used to make the solution faster. The matrix equations are derived for the double layer formulation. The edge based adaptive basis functions used in this work generates a diagonal moment matrix and hence do not need any matrix inversion to be carried out. The scattering cross section of the canonical shapes is used to validate the numerical solution developed and the plots are presented.
Ultrasonic Testing of Materials

Nondestructive testing of solid material using ultrasonic waves, for defects such as cavities, nonbonding, and strength variations, is treated in this book from the physical fundamentals of ultrasonics and materials up to the most sophisticated methods. The book is written at a level which should make it accessible to readers with some knowledge of technical mathematics. Physical laws are explained in elementary terms, and more sophisticated treatments are also indicated. After the fundamentals, instrumentation and its application is extensively reported. Tricks and observations from thirty years of experience in the field are included. The third part of the book presents test problems related to special materials or ranges of modern heavy industry, including recent applications such as those in nuclear power plants. This fourth edition features improved presentation of certain fundamental physical facts, updated reports on electronic instrumentation, and new applications in the nuclear and space industries.
Entanglement Theory and the Quantum Simulation of Many-Body Physics

In this thesis we present new results relevant to two important problems in quantum information science: the development of a theory of entanglement and the exploration of the use of controlled quantum systems to the simulation of quantum many-body phenomena. In the first part we introduce a new approach to the study of entanglement by considering its manipulation under operations not capable of generating entanglement and show there is a total order for multipartite quantum states in this framework. We also present new results on hypothesis testing of correlated sources and give further evidence on the existence of NPPT bound entanglement. In the second part, we study the potential as well as the limitations of a quantum computer for calculating properties of many-body systems. First we analyse the usefulness of quantum computation to calculate additive approximations to partition functions and spectral densities of local Hamiltonians. We then show that the determination of ground state energies of local Hamiltonians with an inverse polynomial spectral gap is QCMA-hard. In the third and last part, we approach the problem of quantum simulating many-body systems from a more pragmatic point of view. We analyze the realization of paradigmatic condensed matter Hamiltonians in arrays of coupled microcavities, such as the Bose-Hubbard and the anisotropic Heisenberg models, and discuss the feasibility of an experimental realization with state-of-the-art current technology.
Improved cryptanalysis of an AES implementation

In [1], Chow et al. provide an implementation of AES as a series oflookups in key-dependenttables. The tables depend not only on a key,but also on randomly chosen permutations ofthe set of 8-bits bytes.The idea is that many pairs of keys and permutations may give riseto the same table, thus obfuscating the key. The cryptanalysis of Billet et al. [2] shows how to reconstruct the used byte permutations.The most time consuming part of their method deals with finding theused byte permutationup to an affine mapping; it has a time-complexity of at most 2^24, thus essentially cracking the given AES implementation. In this paper, we provide a variation on this part of the attack, reducing the time complexity even further, viz. to at most 2^14.
Peripheral Nerve Regeneration with Acellular Nerve Allografts Seeded with Amniotic Fluid-Derived Stem Cells

Introduction Tissue engineering strategies have attempted to mimic regenerating axons' environment by adding supportive types of cells other than Schwann cell to the nerve allograft. We hypothesized that allografts can be seeded with amniotic fluid-derived stem cells (AFS) to promote nerve regeneration. Methods ANAs with AFS cells for long-gap nerve repairs were studied using a rat model. A sciatic nerve injury was created and repaired immediately with a rat acellular nerve allograft (ANA) construct alone, an ANA construct seeded with AFS cells, or with an autograft. Walking track analysis and electrophysiology were performed to document the return of motor control at 4 months post injury. Axon morphology on the nerve segments was assessed. Results In vivo gait analysis showed that the ANA plus AFS cell group had significantly advanced recoveries in overlap distance, paw angle degree, paw drag, stance width, axis distance, and sciatic function index (SFI) compared with ANA alone. The ANA plus AFS cell group also demonstrated greater gastrocnemius compound muscle action potential (CMAP) ratio, sciatic axon diameter, fiber diameter, myelin thickness, G ratio (average axonal diameter (AD)/fiber diameter (FD)), and neuromuscular junction (NMJ) numbers compared to ANA. Discussion. The allograft plus AFS cell group demonstrated significantly improved functional and histological outcomes compared to allograft group alone, showing no significant difference of the nerve regeneration from the autograft group. Thus, AFS cells may be a suitable cell source to replace Schwann cells to support and accelerate peripheral nerve regeneration following large-gap nerve injury.
Structural, Electronic, Mechanical, and Thermodynamic Properties of Na Deintercalation from Olivine NaMnPO4: First-Principles Study

The impact of Na atom deintercalation on olivine NaMnPO4 was investigated in a first-principle study for prospective use as cathode materials in Na-ion batteries. Within the generalized gradient approximation functional with Hubbard (U) correction, we used the plane-wave pseudopotential approach. The calculated equilibrium lattice constants are within 5% of the experimental data. The difference in equilibrium cell volumes for all deintercalated phases was only 6%, showing that NaMPO4 is structurally more stable. The predicted voltage window was found to be between 3.997 and 3.848 V. The Na1MnPO4 and MnPO4 structures are likely to be semiconductors, but the Na0.75MnPO4, Na0.5MnPO4, and Na0.25MnPO4 structures are likely to be metallic. Furthermore, all independent elastic constants for NaxMPO4 structures were shown to meet the mechanical stability requirement of the orthorhombic lattice system.