Miracle-dz/UniFAR-FTUs huggingface dataset:
Incremental Algorithm for long range interactions

Particle simulations have become an essential tool in various fields such as physics, astrophysics, biology, chemistry, climatology, and engineering, to name few. Usually, these computer simulations produce a temporal evolution of the system of interest by describing the motion of particles. In order to perform reliable simulations, we must provide an accurate description of interaction forces undergone by each particle. In most cases, these forces mirror inter-particle interactions and depend on relative coordinates of the particles. Moreover, pairwise long-range interactions are generally the cornerstone of particle simulations, an example being gravitational forces that are so essential in astrophysics. In molecular simulations, electrostatic forces are the most common illustration of long-range interactions. Furthermore, due to their computational cost, pairwise long-range interactions are the bottleneck of particle simulations. Therefore, sophisticated algorithms must be used for efficient evaluations of these interactions. In this thesis, we thus propose algorithms which may reduce the cost of long-range interactions when the studied system is governed by a particular dynamics. Precisely, these so-called «incremental» algorithms are effective for simulations where a part of the system remains frozen awhile. In particular, our algorithms will be validated on systems whose particles are governed by the so-called Adaptively Restrained Molecular Dynamics (ARMD) which is a promising approach in molecular dynamics simulations. Although several incremental algorithms introduced by this thesis will be devoted to molecular dynamics simulations, we believe that they can be generalized to all kinds of long-range interactions.
European Journal of Psychology and Educational Research

: In this study I examine the academic self-concept (ASC) of students who changed from vocational to academic tracking at the transition to upper secondary education in Germany. I ask (1) how their ASC differs to the ASC of their established peers in academic tracking, and (2) how their ASC is affected by the change in the learning environment. Using a subsample of the German National Educational Panel Study (NEPS; N = 4109), findings show that newcomers to academic tracking have a stronger ASC than their peers. However, social differences between the social milieu of origin and the one prevailing at school significantly reduce the ASC. These differences are interpreted as being social-habitual and tested via socioeconomic status, cultural capital, and parental solidarity expectations at the school level. Results differ according to immigrant origin; immigrant newcomers to academic tracking have higher ASC than their established peers, and context effects are more influential. I complement previous research by using a quantitative approach to test the theoretical mechanisms of a qualitative research perspective on upward mobility
Immunotherapy-Associated Uveitis

Novel immunotherapies used to treat some cancers, such as checkpoint inhibitors and target therapies of B-RAF protooncogene and mitogen-activated protein kinase (BRAF/MEK), have been strongly associated with adverse events related to immune dysregulation. These effects are known as immune-related adverse events (irAEs). Uveitis is among the known irAEs, and it occurs in approximately 1% of patients using these therapies. The uveitis observed in these patients ranges from anterior, intermediate, to panuveitis. If irAEs are severe, current recommendations are to stop immunotherapy treatment and simultaneously treat the uveitis with steroids (local or systemic). These oncologic immunotherapies have proved to show positive results in cancer treatment. Their use has increased with time, showing ocular side effects that were not reported previously. It is important that ophthalmologists and nonophthalmologists are aware of these agents and their potential ocular side effects for timely diagnosis and adequate management. This chapter will review different immunotherapies and their potential ocular manifestations and how to diagnose, monitor, and manage these patients.
High-resolution data reveal a surge of biomass loss from temperate and Atlantic pine forests, contextualizing the 2022 fire season distinctiveness in France

Abstract. The frequency and intensity of summer droughts and heat waves in Western Europe have been increasing, raising concerns about the emergence of fire hazard in less fire-prone areas. This exposure of old-growth forests hosting unadapted tree species may cause disproportionately large biomass losses compared to those observed in frequently burned Mediterranean ecosystems. Therefore, analyzing fire seasons from the perspective of exposed burned areas alone is insufficient; we must also consider impacts on biomass loss. In this study, we focus on the exceptional 2022 summer fire season in France and use very high-resolution (10 m) satellite data to calculate the burned area, tree height at the national level, and subsequent ecological impact based on biomass loss during fires. Our high-resolution semi-automated detection estimated 42 520 ha of burned area, compared to the 66 393 ha estimated by the European automated remote sensing detection system (EFFIS), including 48 330 ha actually occurring in forests. We show that Mediterranean forests had a lower biomass loss than in previous years, whereas there was a drastic increase in burned area and biomass loss over the Atlantic pine forests and temperate forests. High biomass losses in the Atlantic pine forests were driven by the large burned area (28 600 ha in 2022 vs. 494 ha yr−1 in 2006–2021 period) but mitigated by a low exposed tree biomass mostly located on intensive management areas. Conversely, biomass loss in temperate forests was abnormally high due to both a 15-fold increase in burned area compared to previous years (3300 ha in 2022 vs. 216 ha in the 2006–2021 period) and a high tree biomass of the forests which burned. Overall, the biomass loss (i.e., wood biomass dry weight) was 0.25 Mt in Mediterranean forests and shrublands, 1.74 Mt in the Atlantic pine forest, and 0.57 Mt in temperate forests, amounting to a total loss of 2.553 Mt, equivalent to a 17 % increase of the average natural mortality of all French forests, as reported by the national inventory. A comparison of biomass loss between our estimates and global biomass/burned areas data indicates that higher resolution improves the identification of small fire patches, reduces the commission errors with a more accurate delineation of the perimeter of each fire, and increases the biomass affected. This study paves the way for the development of low-latency, high-accuracy assessment of biomass losses and fire patch contours to deliver a more informative impact-based characterization of each fire year.
Recycling of Tropical Natural Fibers in Building Materials

This chapter deals with the reuse and recycling of tropical natural fibers and their potential valorization in construction materials in a context of circular economy and sustainable development. These fibers constitute large volumes of fibrous waste resulting from various agro-food industries worldwide. Depending on their intrinsic qualities and properties (physical and mechanical), they can be reused as reinforcing material in cementitious mixes (hardened mixes) or mixes with soils (raw mixes) and molded into a prismatic brick-like shape. These bricks constitute construction materials that have mechanical and other characteristics. A whole methodology specific to the development of such materials and their optimization is presented. It includes the preparation, characterization, cutting of the fibers to the desired length and the making of the mixtures. This is followed by optimization (fibers distribution), control and quality of the fiber-reinforced material. Two examples illustrate the application of this methodology: a reinforced mortar based on coconut fibers (hardened cementitious mix) and a green brick based on sediment and oil palm fibers.
Long-Term Study of Benthic Communities on the Continental Shelf Off Cameron, Louisiana: A Review of Brine Effects and Hypoxia

A long-term data set compiled from our studies and a variety of investigations was analyzed to determine the effects of nine years of discharged brine (concentrated salt water) on benthic organisms surrounding a brine diffuser off Cameron, Louisiana (USA). These investigations began three months before brine discharge was initiated in 1981. A preliminary summary by Giammona and Darnell (1990) relied on just three years of discharge data and gave misleading reports of brine impacts. Brine effects over the nine years of study were minimal. in part because the fine sediments of the study area were numerically dominated by opportunistic species. mostly estuarine taxa, that showed dramatic population fluctuations both spatially and temporally. These fluctuations in benthic densities were the most salient characteristic of the study area. They resulted from summer hypoxia and anoxia in bottom waters, not from brine. The hypoxia was related to Mississippi River discharge and subsequent salinity stratification. Hypoxia eliminated some taxa and severely reduced populations of most benthic species. The only significant differences between communities near the diffuser and those outside the influence of its discharged brine resulted from water-column mixing by the discharged brine, which oxygenated waters around the diffuser and s t a b i i the salinity of bottom water at the stations near the diffuser. This enhanced benthic diversity around the diffuser and resulted in greater populations during some seasons.
and translocation in the ER, post-modification of nascent polypeptides in the ER and

Recombinant proteins produced by cell factories are now widely used in various fields. Many efforts have been made to improve the secretion capacity of cell factories to meet the increasing demand for recombinant proteins. Recombinant protein production usually causes cell stress in the endoplasmic reticulum (ER). The overexpression of key genes pos-sibly removes limitations in protein secretion. However, inappropriate gene expression may have negative effects. There is a need for dynamic control of genes adapted to cellular status. In this study, we constructed and characterized synthetic promoters that were inducible under ER stress conditions in Saccharomyces cerevisiae . The unfolded protein response element UPRE2, responding to stress with a wide dynamic range, was assembled with various promoter core regions, resulting in UPR-responsive promoters. Synthetic responsive promoters regulated gene expression by responding to stress level, which reflected the cellular status. The engineered strain using synthetic responsive promoters P 4UPRE2 − TDH3 and P 4UPRE2 − TEF1 for co-expression of ERO1 and SLY1 had 95% higher α-amylase production compared with the strain using the native promoters P TDH3 and P TEF1 . This work showed that UPR-responsive promoters were useful in the metabolic engineering of yeast strains for tuning genes to support efficient protein production.
The C-type Lectin Receptor CLECSF8 (CLEC4D) Is Expressed by Myeloid Cells and Triggers Cellular Activation through Syk Kinase

Background: C-type lectins play important roles in immunity and homeostasis. Results: CLECSF8 is expressed on neutrophils and monocytes and can mediate phagocytosis, the respiratory burst and inflammatory cytokine production, in part through association with a novel adaptor. Conclusion: CLECSF8 can trigger cellular activation. Significance: This study identifies a novel C-type lectin that can control immune cell function. CLECSF8 is a poorly characterized member of the “Dectin-2 cluster” of C-type lectin receptors and was originally thought to be expressed exclusively by macrophages. We show here that CLECSF8 is primarily expressed by peripheral blood neutrophils and monocytes and weakly by several subsets of peripheral blood dendritic cells. However, expression of this receptor is lost upon in vitro differentiation of monocytes into dendritic cells or macrophages. Like the other members of the Dectin-2 family, which require association of their transmembrane domains with signaling adaptors for surface expression, CLECSF8 is retained intracellularly when expressed in non-myeloid cells. However, we demonstrate that CLECSF8 does not associate with any known signaling adaptor molecule, including DAP10, DAP12, or the FcRγ chain, and we found that the C-type lectin domain of CLECSF8 was responsible for its intracellular retention. Although CLECSF8 does not contain a signaling motif in its cytoplasmic domain, we show that this receptor is capable of inducing signaling via Syk kinase in myeloid cells and that it can induce phagocytosis, proinflammatory cytokine production, and the respiratory burst. These data therefore indicate that CLECSF8 functions as an activation receptor on myeloid cells and associates with a novel adaptor molecule. Characterization of the CLECSF8-deficient mice and screening for ligands using oligosaccharide microarrays did not provide further insights into the physiological function of this receptor.
GRAVITATIONAL WAVE ASTRONOMY

▪ Abstract The existence of gravitational radiation is a direct prediction of Einstein's theory of general relativity, published in 1916. The observation of gravitational radiation will open a new astronomical window on the universe, allowing the study of dynamic strong-field gravity, as well as many other astrophysical objects and processes impossible to observe with electromagnetic radiation. The relative weakness of the gravitational force makes detection extremely challenging; nevertheless, sustained advances in detection technology have made the observation of gravitational radiation probable in the near future. In this article, we review the theoretical and experimental status of this emerging field.
Tuna fish waste as an aquafeed substitute at Visakhapatnam

Tuna is an important group of large pelagics in the waters along the Visakhapatnam coast and constitute a major component of the exploited marine fishery resources. The annual average landings of tunas in Andhra Pradesh during 2006 -2010 was 29,360 t, which accounts for 26.4% of the national tuna catch. The highest catch of 32,369 t was recorded in 2009 and the lowest catch of 27,046 t was recorded in 2006. Visakhapatnam alone contributes to half the total tuna catch for the state. The tuna fishery at Visakhapatnam is contributed mainly by Euthynnus affinis and Thunnus albacares with small amounts of Katsuwonus pelamis and Auxis thazard. They are mainly exploited by hooks and line and by gillnets. They are locally called ‘suralu’ and support a regular fishery. Visakhapatnam is the major fishing harbour where tuna fish is brought from different landing centres and transported for export.
Utility maximization for bandwidth allocation in peer-to-peer file-sharing networks

Peer-to-peer (P2P) networks have been commonly applied into many applications such as distributed storage, cloud computing and social networking. In P2P networks fairness fosters an incentive so as to encourage peers to offer resources (e.g, upload bandwidth) to the networks. In this paper, we consider fair bandwidth allocation of access links in P2P file-sharing networks and develop a coupled network-wide utility maximization model which aims at achieving several kinds of fairness among requesting peers. We provide a meaningful interpretation of the problem of maximizing social welfare and its sub-problems from an economic point of view. The coupled optimization problem is difficult to resolve in a distributed way because of its non-strict convexity and non-separation. We apply a modified successive approximation method to investigate the coupled problem and propose a distributed bandwidth allocation scheme to solve the approximation problems. Then, we investigate the convergence of the scheme by mathematical analysis and evaluate the performance through numerical examples, which validate that the scheme can achieve the global optimum within reasonable iterations.
Discriminative learning with application to interactive facial image retrieval

The amount of digital images is growing drastically and advanced tools for searching in large image collections are therefore becoming urgently needed. Contentbased image retrieval is advantageous for such a task in terms of automatic feature extraction and indexing without human labor and subjectivity in image annotations. The semantic gap between high-level semantics and low-level visual features can be reduced by the relevance feedback technique. However, most existing interactive content-based image retrieval (ICBIR) systems require a substantial amount of human evaluation labor, which leads to the evaluation fatigue problem that heavily restricts the application of ICBIR. In this thesis a solution based on discriminative learning is presented. It extends an existing ICBIR system, PicSOM, towards practical applications. The enhanced ICBIR system allows users to input partial relevance which includes not only relevance extent but also relevance reason. A multi-phase retrieval with partial relevance can adapt to the user’s searching intention in a from-coarse-to-fine manner. The retrieval performance can be improved by employing supervised learning as a preprocessing step before unsupervised content-based indexing. In this work, Parzen Discriminant Analysis (PDA) is proposed to extract discriminative components from images. PDA regularizes the Informative Discriminant Analysis (IDA) objective with a greatly accelerated optimization algorithm. Moreover, discriminative Self-Organizing Maps trained with resulting features can easily handle fuzzy categorizations. The proposed techniques have been applied to interactive facial image retrieval. Both a query example and a benchmark simulation study are presented, which indicate that the first image depicting the target subject can be retrieved in a small number of rounds.
Journal of Emerging Trends in Computing and Information Sciences Implementing Cloud Computing in Erp Ahmad Rabay'a, 2

Cloud computing is a new technology trend which changed how information systems operated and used, while ERP is one of the most used enterprise applications by the market, and considered the core of many corporations. The fact that ERP systems require high resources in term of cost, time and people in order to be implemented and maintained introduced many difficulties for organizations to set up such a vital system, which was the driving force to try to benefit from cloud computing to help organizations to implement ERP systems with less implementation cost and time.The product of this research was an intersect between the available relevant knowledge, and the market, where some market representatives were interviewed to bridge the gap between theoretical and practical point of views, and get deeper understanding regarding issues and features of ERP as cloud service. The purpose of this research was influenced by the potential benefits of using cloud computing technology to implement ERP systems with less time, cost and failure risk consequences, and how ERP as cloud service could ease ERP implementation and reduce required resources from both customers and vendors. The analysis framework was based on the combination of theoretical base, our own expectations, and the interviews results from the two market representative (suppliers and customers).
DEPENDENCY, URBANIZATION, EDUCATION AND HOUSEHOLD SAVINGS: SOME PRELIMINARY EVIDENCE FROM PAKISTAN / DIMENSION DE LA FAMILLE, URBANISATION, SCOLARITÉ ET ÉPARGNE DES MÉNAGES: DES RÉSULTATS EMPIRIQUES DE NATURE PRÉLIMINAIRE AU PAKISTAN

While empirical findings on economic and financial determinants of household savings in developing countries are fairly well documented, econometric research on impact of socio-demographic changes on saving decisions remain scanty and inconclusive. Among the three family characteristics under study, dependency has been of particular interest to the economic-demographic researchers. Based on data from 1889 US household survey of 2426 families, Kelley (1976) reports a negative influence though weak, of children on savings. From a more comprehensive data set of 401 urban households in Kenya, Kelley (1980) found that ? the number of children does not influence the rate of household finan cial savings*. Though the affect of educational status of head of household on private savings is undoubtedly more complex, at the same time available evidence is fragmen tary. In a footnote, Kelley and Williamson (1968) report the findings from an Indonesian household data of 490 families. In an extended simple Keynesian formulation including age and educational status of the head, they note ? For the urban sample, fourteen out of the sixteen estimated parameters were insignificant at the 90 percent confidence level? The relationship between urbanization and household savings in LDCs also lacks em pirical content. Hammer (1986) spells out the following a priori causality between the above two forces.
The State of the Great Central Valley of California-Assessing the Region via Indicators: Public Health and Access to Care

Each year the Great Valley Center produces a report in the five part State of the Great Central Valley series. The data is updated in 5-year increments. Based on the data, the Great Valley Center recognizes the potential to improve health outcomes throughout the region. Overall, the indicators suggest five strategies: * Invest in Prevention * Be Strategic With Limited Resources * Model Healthy Lifestyles for Youth * Build Coalitions in Support of a Healthier Environment * Reduce Poverty
Constant of motion and dynamic equations for one dimensional autonomous system, and radiation damping

The dynamic equations for a one-dimensional autonomous system, along with their dynamic transformations, are expressed in terms of the constant of motion of the system. The relation between Hamilton's equations and the constant of motion is studied. This approach is applied to the radiation damping suffered by a proton inside the beam circulating around the Superconducting Super Collider (SSC) ring. <<ETX>>
Unsupervised Texture Segmentation Using Roughness in Wavelet Domain

In this paper, a wavelet based feature set is proposed and evaluated for texture segmentation. The wavelet transform (WT) of the image is taken to decompose the image into four frequency components (LL, LH, HL, HH). The roughness information of these components is then extracted in different scales. A Gaussian two-dimensional (2D) function is employed to extract the roughness information. The inverse WT is then applied to each component assuming other components are zero. This transforms the roughness feature from the frequency domain to the spatial domain. Thus, four distinct components are obtained for each scale. Some operators are finally applied to these components to get an informative feature set. For unsupervised segmentation of texture images, we use a K-means clustering algorithm in which the variance ratio is used to optimize the number of clusters. Since choosing inappropriate starting points in the K-means algorithm may create incorrect segmentation maps, we also propose a method to obtain the suitable initial points for starting the K-means algorithm. Our experimental results show the suitability of the proposed feature set for the 75 textures we studied. Also, the results show the robustness of the proposed method in choosing appropriate initial points for the K-means clustering. Index terms – Texture analysis, Wavelet transform, Roughness, K-means clustering.