Miracle-dz/UniFAR-FTUs huggingface dataset:
Distributed Intrusion Detection using Mobile Agent in Distributed System

to the rapid growth of the network application, new kinds of network attacks are emerging endlessly. So it is critical to protect the networks from attackers and the Intrusion detection technology becomes popular. There is tremendous rise in attacks on wired and wireless LAN. Therefore security of Distributed System (DS) is become serious challenge. One such serious challenge in DS security domain is detection of rogue points in network. Lot of work has been done in detection of intruders. But the solutions are not satisfactory. This paper gives the new idea for detecting rouge point using Mobile agent. Mobile agent technology is best suited for audit information retrieval which is useful for the detection of rogue points. Using Mobile agent we can find the intruder in DS as well as controller can take corrective action. This paper presents DIDS based on Mobile agents and band width consumed by the Mobile Agent for intrusion detection.
Weighting with the pre-knowledge of GNSS signal state of reception in urban areas

GNSS accuracy still remains a challenge in dense urban areas where, unfortunately, most of the localization users travel. Propagation effects and, in particular reflections of the signals, induce major inaccuracy measurements of the pseudoranges. For most of the Intelligent Transport Systems (ITS), there is a need to face this source of in accuracy in order to offer new services in a low cost solution. The work presented in this paper has been performed in the context of a French project named CAPLOC that aims to propose accurate localization in dense urban areas in this context . The solutions explored in the projects propose to use only available GNSS signals, and chose some of them or weight some of them in order to increase performances. CAPLOC intends to use the knowledge of the propagation environment close to the antenna to enhance GNSS positioning accuracy.
Uncivering mechanisms of acquired resistance to trastuzumab-emtansine (T-DM1) in HER2 positive breast cancer

ADVERTIMENT. La consulta d’aquesta tesi queda condicionada a l’acceptació de les següents condicions d'ús: La difusió d’aquesta tesi per mitjà del servei TDX (www.tdx.cat) i a través del Dipòsit Digital de la UB (diposit.ub.edu) ha estat autoritzada pels titulars dels drets de propietat intel·lectual únicament per a usos privats emmarcats en activitats d’investigació i docència. No s’autoritza la seva reproducció amb finalitats de lucre ni la seva difusió i posada a disposició des d’un lloc aliè al servei TDX ni al Dipòsit Digital de la UB. No s’autoritza la presentació del seu contingut en una finestra o marc aliè a TDX o al Dipòsit Digital de la UB (framing). Aquesta reserva de drets afecta tant al resum de presentació de la tesi com als seus continguts. En la utilització o cita de parts de la tesi és obligat indicar el nom de la persona autora.
Opportunities for the development of folklore tourism in the Ferghana Valley

the XXI century has become as a century of tourism in history. As the tourism industry developed as the main branch of the economy, folklore tourism showed that today's ethno-tourism structure is separated from the 80s of the 20th century and has its own development history. Ferghana Valley is one big oasis, with a wonderful climate and fertile land. World practice proves that this kind of tourism is able to satisfy a number of spiritual needs of a person. It is mentioned in the article that the existing opportunities for the development of folklore tourism in the Fergana Valley are highlighted on the basis of significant archival documents and sources.
Analyzing the building blocks of resilience: Findings from a baseline survey of the Tuungane Population Health and Environment Project in Western Tanzania.

This paper analyzes data from the Tuungane Project baseline survey to show the pre-project level of knowledge among village residents regarding their understanding and use of FP understanding and attitudes toward conservation and whether or not there are linkages among them. We hope to use this analysis to inform future efforts that will look more deeply at the relationships among and between: FP and climate change adaptation FP and resilience and the pathways through which the FP and other components of PHE projects like Tuungane contribute to building resilience and enhancing the ability to adapt to climate change. (Excerpt)
Revisiting the ENSO Teleconnection to the Tropical North Atlantic

AbstractOne of the most robust remote impacts of El Nino–Southern Oscillation (ENSO) is the teleconnection to tropical North Atlantic (TNA) sea surface temperature (SST) in boreal spring. However, important questions still remain open. In particular, the timing of the ENSO–TNA relationship lacks understanding. The three previously proposed mechanisms rely on teleconnection dynamics involving a time lag of one season with respect to the ENSO mature phase in winter, but recent results have shown that the persistence of ENSO into spring is necessary for the development of the TNA SST anomalies. Likewise, the identification of the effective atmospheric forcing in the deep TNA to drive the regional air–sea interaction is also lacking. In this manuscript a new dynamical framework to understand the ENSO–TNA teleconnection is proposed, in which a continuous atmospheric forcing is present throughout the ENSO decaying phase. Observational datasets in the satellite era, which include reliable estimates over the ocea.
Bayesian Inference of Dependent Population Dynamics in Coalescent Models

The coalescent is a powerful statistical framework that allows us to infer past population dynamics leveraging the ancestral relationships reconstructed from sampled molecular sequence data. In many biomedical applications, such as in the study of infectious diseases, cell development, and tumorgenesis, several distinct populations share evolutionary history and therefore become dependent. The inference of such dependence is a highly important, yet a challenging problem. With advances in sequencing technologies, we are well positioned to exploit the wealth of high-resolution biological data for tackling this problem. Here, we present a novel probabilistic model that relies on jointly distributed Markov random fields. We use this model to estimate past population dynamics of dependent populations and to quantify their degree of dependence. An essential feature of our approach is the ability to track the time-varying association between the populations while making minimal assumptions on their functional shapes via Markov random field priors. We provide nonparametric estimators, extensions of our base model that integrate multiple data sources, and fast scalable inference algorithms. We test our method using simulated data under various dependent population histories and demonstrate the utility of our model in shedding light on evolutionary histories of different variants of SARS-CoV-2.
In Situ Reproductive Bioassay with Caged Gammarus fossarum (Crustacea): Part 2—Evaluating the Relevance of Using a Molt Cycle Temperature‐Dependent Model as a Reference to Assess Toxicity in Freshwater Monitoring

Active biomonitoring approaches are now recognized as relevant for monitoring water contamination and toxicity. Nevertheless, due to the confounding influence of variable and uncontrolled environmental conditions such as temperature, biological markers measured on transplanted individuals to assess water quality are difficult to interpret. The purpose of the present study is to propose a methodology for adapting a laboratory test of chronic sublethal toxicity based on the molting cycle of Gammarus fossarum to in situ assays. To this end, we 1) adapted the molt cycle temperature‐dependent model developed in Part 1 (Chaumot et al. 2020, this issue) to the fluctuating temperatures measured in the field; 2) assessed the predictive power of our approach as a “reference value” from gammarids caged in 9 nonimpacted sites at different seasons; and 3) tested the relevance of our tool to interpret in situ reproductive bioassays from 5 upstream/downstream studies and a large‐scale deployment in 12 sites. Our approach based on modeling the progress of gammarid molting cycle as a function of temperature appeared to be a relevant and robust tool for interpreting in situ observations in different environmental contexts in time and space. By avoiding using a “reference” or upstream situation as a baseline from which water quality could be assessed, this approach provides a real added value to water quality diagnosis in biomonitoring programs. Environ Toxicol Chem 2020;39:678–691. © 2019 SETAC
The Ethical and Social Implications of Personalisation Technologies for e-Learning

Personalisation in information systems can be considered very beneficial but at the same time ethically and socially harmful. Like many other technologies, the uptake of personalisation has been rapid, with inadequate consideration given to its impact. Personalisation in e-learning systems also has potential for both harm and good but less is known about its effects. The ethical and social hazards include privacy compromise, loss of serendipity, de-skilling, widening commercial influence
Accounting professionals’ legitimacy maintenance of modern slavery inspired extreme work practices in an emerging economy

It is well-established in the human resource management literature that high intensity and excessive workload can cause undesirable physiological, psychological, behavioural, and social outcomes. However, there is a need to theorise the process by which extreme work has been legitimised and embedded among professionals. In this paper, we view extreme workers as those professionals who contribute to their works beyond acceptable contractual obligations, either voluntarily for personal rewards or involuntarily due to the menace of penalty, or both. We chose to investigate how accounting professionals in India legitimise extreme work in their workplaces using exploratory qualitative research methods and applied economies of worth theoretical framework. Our findings demonstrate that senior accounting professionals with the assistance of professional associations can play an important role in mobilising professional and organisational resources to tackle extreme work in their accounting firms and the industry.
Factors Associated with Increased Knowledge about Breast Density in South Australian Women Undergoing Breast Cancer Screening

Simple Summary Breast density is an independent risk factor for breast cancer and can impede detection of cancer by mammography. There is growing awareness of breast density in Australia and globally, but it is unclear whether this awareness is increasing knowledge of what breast density is and what it means to have dense breasts. This study was conducted to investigate South Australian women’s knowledge of the common facts and misconceptions about breast density. This study reports that women who had previously heard the term breast density had increased knowledge compared to those who had not, suggesting that current efforts to raise awareness are leading to better knowledge. Despite this, the study shows that there are widespread misconceptions that must be actively dispelled, including the misunderstanding that breast density can be determined by touch. Abstract Background: There is growing awareness of breast density in women attending breast cancer screening; however, it is unclear whether this awareness is associated with increased knowledge. This study aims to evaluate breast density knowledge among Australian women attending breast cancer screening. Method: This cross-sectional study was conducted on women undergoing breast cancer screening at The Queen Elizabeth Hospital Breast/Endocrine outpatient department. Participants were provided with a questionnaire to assess knowledge, awareness, and desire to know their own breast density. Result: Of the 350 women who participated, 61% were familiar with ‘breast density’ and 57% had ‘some knowledge’. Prior breast density notification (OR = 4.99, 95% CI = 2.76, 9.03; p = 0.004), awareness (OR = 4.05, 95% CI = 2.57, 6.39; p = 0.004), younger age (OR = 0.97, 95% CI = 0.96, 0.99; p = 0.02), and English as the language spoken at home (OR = 3.29, 95% CI = 1.23, 8.77; p = 0.02) were independent predictors of ‘some knowledge’ of breast density. A significant proportion of participants (82%) expressed desire to ascertain their individual breast density. Conclusions: While knowledge of breast density in this Australian cohort is generally quite low, we have identified factors associated with increased knowledge. Further research is required to determine optimal interventions to increase breast density knowledge.
Détection des changements au niveau d’un couvert forestier en milieu semi-aride entre 1984–2009: Cas de la forêt de Senalba Chergui de Djelfa (Algérie)

Abstract The main objective of this work was to detect changes in a semi-arid forest using Landsat satellite multi-temporal imagery and to circumvent the lack of data on landscape temporal changes. The differential-algebraic method (subtraction) was used on 12 remote sensing variables obtained at different fixed periods. Before applying the differentiations on remote sensing data, a geometric correction and a radiometric normalization of satellite images were carried out to allow images comparison. Differentiation of individual bands (TM4 and TM5), ratios (TM4/TM5 and TM7/TM5), indexes (NDVI and NDMI), Tasseled Cap differentiation (e.g. TCB [Brightness], TCG [Greenness] and TCW [Wetness]) and finally the differentiation of the first three ACPs (ACP1, APC2 and ACP3) were carried out in order to select the best data for the detection of changes. Many radiometric thresholds were tested (11 values) to identify which ones had the ability to determine the best changes in the different studied periods. The most significant values of global precision (GP) (greater than 72% for the four studied periods) obtained in the error matrices were those of the NDVI variable using 0. 9δ (δ = standard deviation) at the mean. This allowed the calculation of NDVI changes and the positive, negative and stable proportions for each period. The use of recent very high resolution spatial images for validation allowed us to highlight the causes of changes and the impact of silvicultural works during the period of forest management.
Study of decay of faecal coliform in aquatic environment

Prediction of microbialwater quality in surface water bodies is essential to provide an indication of health risks posed by faecal contamination. Due to the great difficulties involved in the detection and enumeration of individualpathogens, indicator organisms are usually used to assess the microbial water quality. Faecal coliform bacteria is widely used as an indicator of microbial water quality in water supply engineering. Faecal coliform enter water sources mainly through discharge of sewage and waste water or urban and rural runoff. Once in water, various factors act to enhance or inhibit their growth. For accurate prediction of microbiological water quality a thorough understanding of the effect of various factors on the survival of faecal coliformis essential. This study was devoted to acquire a better understanding of the decay mechanism of faecal coliform in natural water environment. The decay of faecal coliform was observed under various laboratory conditions and also in actual lake and stream environment. The effect of temperature, pH and nutrient deficiency on the decay of faecal coliform was observed in the laboratory. Decay rate of faecal coliform in Dhanmondi lake water and in the Buriganga river water was determined both in the laboratory and in the actual aquatic environment. Temperature was found to have a major impact on the survival of faecal coliform in . I. aquatic environment. At very low temperatures the bacterial population remained nearly constant. But as the temperature increased above 200e the decay rate started increasing rapidly.At about 50e faecal coliform cannot survive formore than 6 hours. pH of the aquatic environment also significantly affects the decay rate of faecal coliform. However, near neutral condition, the variation of decay rate with change in pH level is very small. But as the deviation becomes larger the change in decay rate also becomes greater. Survivalis more strongly affected by acidic environment than by alkaline environment. Nutrients usually retard the decay of faecal coliform. At a very high nutrient concentration, a small after-growth was observed. However, the nutrient
Use of Ultra-Translucent Monolithic Zirconia as Esthetic Dental Restorative Material: A Narrative Review

It has been observed in recent years that zirconia (Zr) is being increasingly used for a wide range of clinical applications. There are several reasons for this, but the most significant one is its excellent mechanical properties, specifically its transformation toughening properties compared to other dental ceramics and its improved natural appearance when compared to ceramometal restorations. As a result of the advancement of chairside milling and developments in rapid-sintering technology, the fabrication of dental restorations has become more computerized, time-saving, and accurate over the past few decades. However, a main disadvantage of conventional Zr restorations is that they lack the translucency of glass–ceramics, although they are extremely strong. Recently, by increasing the yttrium %, changing the grain size, and reducing the impurities, the ultra-translucent monolithic zirconia “5-mol%-yttria-stabilized tetragonal zirconia polycrystals” has been introduced, with successful attempts to make translucent Zr an aesthetically attractive option for minimally invasive veneer restorations. It is important to note that veneer restorations do not possess the mechanical retentive features of the tooth preparations and rely primarily on bonding to resin cement. This presents a great challenge for the inert Zr since it does not bond chemically with resin cement, unlike glass–ceramic materials that establish chemical adhesion with resin cement, favoring their use for indirect veneer restorations. Taking this into account, this article aims to review the progressive development of ultra-translucent monolithic Zr materials as they are available today and, in the future, represents a concerted drive toward maximum translucency and strength, which renders them a viable treatment option for esthetic veneer restorations.
The Cambridge Handbook of Multimedia Learning: Cognitive Theory of Multimedia Learning

Abstract A fundamental hypothesis underlying research on multimedia learning is that multimedia instructional messages that are designed in light of how the human mind works are more likely to lead to meaningful learning than those that are not. The cognitive theory of multimedia learning (CTML) is based on three cognitive science principles of learning: the human information processing system includes dual channels for visual/pictorial and auditory/verbal processing (i.e., dual-channels assumption); each channel has limited capacity for processing (i.e., limited capacity assumption); and active learning entails carrying out a coordinated set of cognitive processes during learning (i.e., active processing assumption). The cognitive theory of multimedia learning specifies five cognitive processes in multimedia learning: selecting relevant words from the presented text or narration, selecting relevant images from the presented illustrations, organizing the selected words into a coherent verbal representation, organizing selected images into a coherent pictorial representation, and integrating the pictorial and verbal representations and prior knowledge. Multimedia instructional messages should be designed to prime these processes. The Case for Multimedia Learning What is the rationale for a theory of multimedia learning? People learn more deeply from words and pictures than from words alone. This assertion – which can be called the multimedia principle – underlies much of the interest in multimedia learning. For thousands of years, words have been the major format for instruction – including spoken words, and within the last few hundred years, printed words.
Vaccine-Derived Poliovirus: Epidemiology, Types, Global Response and Future Prospectives

The genetic biodiversity of Polio virus transmission is a key indicator for epidemiologists to examine the transmission patterns of individual virus lines or families. In 2022, the identification of polio cases in many regions of the world free from the disease for several decades, gained significant attention due to their high-profile nature. These detections understandably raise concerns and necessitate appropriate management and response. However, their significance extends beyond individual incidents, serving as a stark reminder of the potential consequences if global polio eradication efforts fail to the worldwide resurgence of the disease. In August 2020, the World Health Organization (WHO) certified the African region as free from wild poliovirus as the oral poliovirus vaccine (OPV) provides durable protection by inducing long-lasting humoral immunity. One notable characteristic of OPV is its capacity to not only immunize the recipients but also reach and safeguard unvaccinated individuals close to the vaccinated ones, extending its impact beyond the immediate recipients. However, the continued use of the OPV, which contains an attenuated virus, has the potential to undergo mutations, resulting in the emergence of vaccine-derived poliovirus (VDPVs) strains particularly, serotype 2 (VDPV2) causing poliomyelitis. In this review, we focused on epidemiology, highlighted virus classifications, understood the features and transmission patterns of vaccine-derived polioviruses, and discussed the global protective and up-to-date control measures that should be undertaken to limit the spread of VDPV2.
Isogeometric finite element data structures based on Bézier extraction of NURBS

We present the B'ezier extraction operator and isogeometric Bézier elements for non‐uniform rational B‐Spline (NURBS)‐based isogeometric analysis. The Bézier extraction operator allows numerical integration of smooth functions to be performed on C0 Bézier elements. We show how the Bézier extraction operator is computed for NURBS. We then show that the extraction operator and Bézier elements provide an element structure for isogeometric analysis that can be easily incorporated into existing finite element codes, without any changes to element form and assembly algorithms, and standard data processing arrays. All significant changes may be implemented in a shape function subroutine. Copyright © 2010 John Wiley & Sons, Ltd.
Artificial and Computational Intelligence in Games (Dagstuhl Seminar 12191)

This report documents the program and the outcomes of Dagstuhl Seminar 12191 "Artificial and Computational Intelligence in Games". The aim for the seminar was to bring together creative experts in an intensive meeting with the common goals of gaining a deeper understanding of various aspects of artificial and computational intelligence in games, to help identify the main challenges in game AI research and the most promising venues to deal with them. This was accomplished mainly by means of workgroups on 14 different topics (ranging from search, learning, and modeling to architectures, narratives, and evaluation), and plenary discussions on the results of the workgroups. This report presents the conclusions that each of the workgroups reached. We also added short descriptions of the few talks that were unrelated to any of the workgroups.