Miracle-dz/UniFAR-FTUs huggingface dataset:
Approximate On-line Estimation of Uniform State Model with Application on Traffic Data

The model predictive control is an advanced method of process control. The controller relies on the dynamic model of the process obtained by the system identification. The control quality depends strongly on the quality of the used model. The linear models are often employed for the approximated description of the nonlinear controlled system due to the simplicity of the identification algorithms. However, this models have only limited validity. The nonlinear models describe the system generally much better than the linear ones but their identification is a nontrivial task. Here, a model that is both easily identifiable and sufficiently precise is presented. The state model with uniform innovations (SU model) proposes an alternative to the standardly used linear state-space model with normal innovations that leads to the Kalman filter. By the SU model, the state and output innovations are considered to have the uniform distribution. This assumption implements the nonlinearity into the originally linear system. The system states and parameters are estimated on-line with fixed memory on the sliding window. The sliding window as the alternative of the forgetting allows to catch the slow parameter changes. The MAP estimation of the SU model reduces to the linear eventually convex programming. The main advantages of the proposed model are the simplicity of the estimation algorithm and the possibility to estimate both the parameters and states including the innovation boundaries. The paper is concerned with the problem of the approximative solution of the on-line joint state and parameter estimation.
The Revolutionary Technology: 5G

5G Technology represents fifth Generation Mobile innovation. From generation 1G to 2.5G and from 3G to 5G this universe of media transmission has seen various upgrades alongside improved execution with each passing day. This quick transformation in versatile registering changes our everyday life that is way we work, associate, and learn and so on. This paper additionally centres on every single going before generation of portable correspondence alongside fifth era innovation. Fifth generation organize give moderate broadband remote availability (extremely rapid). The paper illuminates organize engineering of fifth era innovation. Right now 5G term isn't authoritatively utilized. In fifth era explores are being made on improvement of World Wide Wireless Web (WWWW), Dynamic ADHOC Wireless Networks (Day break) and Real Wireless World. Fifth era center around (Voice over IP) VOIP-empowered gadgets that client will experience a significant level of call volume and information transmission. Fifth era innovation will satisfy all the prerequisites of clients who consistently need propelled includes in PDAs. The principle includes in 5G versatile system is that client can all the while associate with the numerous remote advances and can switch between them. This anticipated portable innovation will bolster IPv6 and level IP. Fifth era innovation will offer the administrations like Documentation, supporting electronic exchanges (e-Payments, e-exchanges) and so forth. KEYWORDS—Mobile communication, 5G, 5G Architecture, Evolution from 1G to 5G, Frequency spectrum.
The Sensemaking Process and Leverage Points for Analyst Technology as Identified Through Cognitive Task Analysis

There are a relatively few open literature reports that provide empirical descriptive studies of intelligence analysis and that link these into the context of expertise and work. This paper, based on first results from a cognitive task analysis and verbal protocols give a broad brush description of intelligence analysis as an example of sense-making. It then suggests some possible leverage points where technology might be applied.
Design of Portable Plasma Device using Inductor, Capacitor and Coil resistor circuit

Here Portable plasma device is designed by using the inductor, capacitor and coil resistor circuit. The ignition coil is used as a inductor and high voltage generator with the help of the capacitor of 0.68uf 400v in series with the dimmer circuit ,nominal of 300 watt,220 volts AC with the frequency of about 50 Hz and temperature range from -200c to +400c .
Decomposed Bounded Floats for Fast Compression and Queries

Modern data-intensive applications often generate large amounts of low precision float data with a limited range of values. Despite the prevalence of such data, there is a lack of an effective solution to ingest, store, and analyze bounded, low-precision, numeric data. To address this gap, we propose Buff, a new compression technique that uses a decomposed columnar storage and encoding methods to provide effective compression, fast ingestion, and high-speed in-situ adaptive query operators with SIMD support.
Towards A Polyglot Framework for Factorized ML

Optimizing machine learning (ML) workloads on structured data is a key concern for data platforms. One class of optimizations called “factorized ML” help reduce ML runtimes over multi-table datasets by pushing ML computations down through joins, avoiding the need to materialize such joins. The recent Morpheus system automated factorized ML to any ML algorithm expressible in linear algebra (LA). But all such prior factorized ML/LA stacks are restricted by their chosen programming language (PL) and runtime environment, limiting their reach in emerging data science environments with many PLs (R, Python, etc.) and even cross-PL analytics workﬂows. Re-implementing Morpheus from scratch in each PL/environment is a massive developability overhead for implementation, testing, and maintenance. We tackle this challenge by proposing a novel information sys-tem architecture, Trinity , to enable factorized LA logic to be written only once and easily reused across many PLs/LA tools in one go . To do this in an extensible and eﬃcient manner without costly data copies, Trinity leverages and extends an emerging polyglot compiler/runtime, Oracle’s GraalVM. Trinity enables factorized LA in multiple PLs and even cross-PL workﬂows. Experiments with real datasets show that Trinity is signiﬁcantly faster than materialized execution ( > 10x speedups in some cases), while being largely competitive to a prior single PL-focused Morpheus stack.
SAND in Action: Subsequence Anomaly Detection for Streams

Subsequence anomaly detection in long data series is a significant problem. While the demand for real-time analytics and decision making increases, anomaly detection methods have to operate over streams and handle drifts in data distribution. Nevertheless, existing approaches either require prior domain knowledge or become cumbersome and expensive to use in situations with recurrent anomalies of the same type. Moreover, subsequence anomaly detection methods usually require access to the entire dataset and are not able to learn and detect anomalies in streaming settings. To address these limitations, we propose SAND, a novel online system suitable for domain-agnostic anomaly detection. SAND relies on a novel steaming methodology to incrementally update a model that adapts to distribution drifts and omits obsolete data. We demonstrate our system over different streaming scenarios and compare SAND with other subsequence anomaly detection methods. PVLDB Reference Format: Paul Boniol, John Paparrizos, Themis Palpanas, and Michael J. Franklin. SAND in Action: Subsequence Anomaly Detection for Streams. PVLDB, 14(12): 2867 2870, 2021. doi:10.14778/3476311.3476365
Life Satisfaction Among Urban Elderly Implications For Social Work Practice

India is witnessing a revolution in population ageing. An increased effort is required to understand the social and economic impact of this demographic transformation. In the Indian society, old age is often seen as a stage of weakening health, loneliness due to death of loved ones and separation from children. These changes subsequently impact life satisfaction among the older adults. This study was done to assess the level of life satisfaction among the elderly and to identify its determinants and conceptualise the implications for social work practice with the elderly in urban settings. Life satisfaction of the elderly – an effect variablewas studied in relation to a set of cause variables using the property-disposition approach of social research. Standardised scales were used to measure the key variables. Overall, about 40 % of the variance in life satisfaction was explained by the four predictor variables, and this was statistically significant (F (4, 280) = 54.866, p < 0005). Considering the incredibly large number of variables that could affect an individual’s level of life satisfaction, the ability to explain such a large amount of variance with only four variables is impressive. It is imperative for professional social workers to equip themselves with special intervention strategies and techniques and play a constructive role in enabling the elderly to live the last phase of their life in a contented manner.
Assessing the Use of Insecure ICS Protocols via IXP Network Traffic Analysis

Modern Industrial Control Systems (ICSs) allow remote communication through the Internet using industrial protocols that were not designed to work with external networks. To understand security issues related to this practice, prior work usually relies on active scans by researchers or services such as Shodan. While such scans can identify publicly open ports, they cannot identify legitimate use of insecure industrial traffic. In particular, source-based filtering in Network Address Translation or Firewalls prevent detection by active scanning, but do not ensure that insecure communication is not manipulated in transit.In this work, we compare Shodan-only analysis with largescale traffic analysis at a local Internet Exchange Point (IXP), based on sFlow sampling. This setup allows us to identify ICS endpoints actually exchanging industrial traffic over the Internet. Besides, we are able to detect scanning activities and what other type of traffic is exchanged by the systems (i.e., IT traffic). We find that Shodan only listed less than 2% of hosts that we identified as exchanging industrial traffic, and only 7% of hosts identified by Shodan actually exchange industrial traffic. Therefore, Shodan does not allow to understand the actual use of insecure industrial protocols on the Internet and the current security practices in ICS communications. We show that 75.6% of ICS hosts still rely on unencrypted communications without integrity protection, leaving those critical systems vulnerable to malicious attacks.
Resumos do 56o Congresso Nacional de Botânica. The use of Phylogenies in Biogeography

The goal of biogeography is to describe and, perhaps more importantly, understand patterns of biodiversity. In a spatial context biogeography is concerned with documenting current geographic distribution patterns. That is, plants are not uniformly distributed on the landscape and we want to know where they occur. From a temporal standpoint we want to understand how past ecological, climatic, or geological changes have influenced distribution patterns and whether these changes have influenced species diversification or ecosystem assembly. Obviously biogeography offers a broad array of research questions varying in both spatial and temporal scales, as well as from individual to ecosystems. Here I will focus on just the broad scale, illustrating some of the basic concepts and currently used methods but also highlighting recent advances towards a more integrated approach.
Biological and molecular characterization of a sheep pathogen isolate of Mannheimia haemolytica and leukotoxin production kinetics

Abstract Background and Aim: Mannheimia haemolytica (Mha) is a common agent of pneumonia in ruminants globally, causing economic losses by morbidity, mortality, and treatment costs. Infection by Mha is often associated with or promoted by respiratory viral pathogens and environmental conditions. Infections due to Mha have rarely been described in small ruminants. This study reports the biological and molecular characteristics of a new Moroccan Mha isolate from small ruminants presenting typical respiratory symptoms. We also studied the cultural parameters, growth kinetics, and Lkt excretion of the isolate and its pathogenicity on laboratory animals and small ruminants. Materials and Methods: Suspected pasteurellosis cases in sheep and goat flocks in Morocco were investigated. A local strain of Mha was isolated and identified using biochemical and molecular methods. Polymerase chain reaction-targeting specific genes were used for serotyping and phylogenetic analyses; further, leukotoxin production, cytotoxicity, and pathogenicity of the isolate in mice, goats, and sheep were investigated. Results: Phylogeny analysis revealed 98.76% sequence identity with the USA isolate of 2013; the strain growth with a cycle of 9-10 h with leukotoxin secretion was detected by NETosis and quantified by cytotoxicity and mortality of mice. Goat and sheep infections cause hyperthermia, with characteristic postmortem lesions in the trachea and lung. Conclusion: A local isolate of Mha from sheep that died of pneumonia was characterized for the 1st time in North Africa using biological and molecular methods. Although growth on appropriate culture media is accompanied by intense leukotoxin secretion, experimental infections of sheep and goats cause hyperthermia and typical lesions of pneumonia.
DENOUNCER: Detection of Unfairness in Classifiers

The use of automated data-driven tools for decision-making has gained popularity in recent years. At the same time, the reported cases of algorithmic bias and discrimination increase as well, which in turn lead to an extensive study of algorithmic fairness. Numerous notions of fairness have been proposed, designed to capture different scenarios. These measures typically refer to a “protected group” in the data, defined using values of some sensitive attributes. Confirming whether a fairness definition holds for a given group is a simple task, but detecting groups that are treated unfairly by the algorithm may be computationally prohibitive as the number of possible groups is combinatorial. We present a method for detecting such groups efficiently for various fairness definitions. Our solution is implemented in a system called DENOUNCER, an interactive system that allows users to explore different fairness measures of a (trained) classifier for a given test data. We propose to demonstrate the usefulness of DENOUNCER using real-life data and illustrate the effectiveness of our method.
The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward

The twenty-first century has been dominated by the need for large scale data processing, marking the birth of big data platforms such as Cosmos. This paper describes the evolution of the exabyte-scale Cosmos big data platform at Microsoft; our journey right from scale and reliability all the way to efficiency and usability, and our next steps towards improving security, compliance, and support for heterogeneous analytics scenarios. We discuss how the evolution of Cosmos parallels the evolution of the big data field, and how the changes in the Cosmos workloads over time parallel the changing requirements of users across industry. PVLDB Reference Format: Conor Power, Hiren Patel, Alekh Jindal, Jyoti Leeka, Bob Jenkins, Michael Rys, Ed Triou, Dexin Zhu, Lucky Katahanas, Chakrapani Bhat Talapady, Joshua Rowe, Fan Zhang, Rich Draves, Marc Friedman, Ivan Santa Maria Filho, Amrish Kumar. The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward. PVLDB, 14(12): 3148 -
Coupling Friction with Visual Appearance

We present a novel meso-scale model for computing anisotropic and asymmetric friction for contacts in rigid body simulations that is based on surface facet orientations. The main idea behind our approach is to compute a direction dependent friction coefficient that is determined by an object's roughness. Specifically, where the friction is dependent on asperity interlocking, but at a scale where surface roughness is also a visual characteristic of the surface. A GPU rendering pipeline is employed to rasterize surfaces using a shallow depth orthographic projection at each contact point in order to sample facet normal information from both surfaces, which we then combine to produce direction dependent friction coefficients that can be directly used in typical LCP contact solvers, such as the projected Gauss-Seidel method. We demonstrate our approach with a variety of rough textures, where the roughness is both visible in the rendering and in the motion produced by the physical simulation.
The Transdimensional Poisson Process for Vehicular Network Analysis

A comprehensive vehicular network analysis requires modeling the street system and vehicle locations. Even when Poisson point processes (PPPs) are used to model the vehicle locations on each street, the analysis is barely tractable. That holds for even a simple average-based performance metric—the success probability, which is a special case of the fine-grained metric, the meta distribution (MD) of the signal-to-interference ratio (SIR). To address this issue, we propose the transdimensional approach as an alternative. Here, the union of 1D PPPs on the streets is simplified to the transdimensional PPP (TPPP), a superposition of 1D and 2D PPPs. The TPPP includes the 1D PPPs on the streets passing through the receiving vehicle and models the remaining vehicles as a 2D PPP ignoring their street geometry. Through the SIR MD analysis, we show that the TPPP provides good approximations to the more cumbrous models with streets characterized by Poisson line/stick processes; and we prove that the accuracy of the TPPP further improves under shadowing. Lastly, we use the MD results to control network congestion by adjusting the transmit rate while maintaining a target fraction of reliable links. A key insight is that the success probability is an inadequate measure of congestion as it does not capture the reliabilities of the individual links.
Historical and Pedagogical Aspects of Application of Forms and Methods of Learning Foreign Languages In Institutions of Higher Education of Ukraine

The analysis of the source base is carried out in the article, which allows to single out the following tendencies of the unification period: paradigmatic (realization of the ideological imperative in the language and professional training of future specialists in the maritime field); structural-educational (preparation according to unified curricula and programs, reading and translation as a leading type of speech activity); semantic (integration of foreign language training and multicultural education); instrumental and methodical (use of traditional verbal methods, standardized textbooks, limited to information and reproduction
The use of ultrasonic densitometry in assessing bone mineral density and determining the 10-year risk of osteoporotic fractures in older women in the family doctor practice

Osteoporosis is the fourth most common disease after cardiovascular, cancer and endocrine diseases. With an increase in life expectancy, it becomes one of the main causes of deterioration in health and an increase in mortality. The aim of the study. To identify women with low bone density using ultrasound densitometry and assess the risk of osteoporotic fractures. Materials and methods. The study was based on a survey of 31 women in the Odessa region, the average age of the subjects was 57±9.1 years, the average body weight was 75.74±12.5 kg, height 162.8±0.1 cm, the average BMI was 28.57±4.5. All women were divided into groups by age with a ten-year interval and by densitometry indices. Results. Decrease in bone density was found in 51.6 % of examined women. The lowest BMD was in the age group of 70–79 years, and the largest numbers of respondents with osteopenic changes were at the age of 50–59. A linear correlation was found between BMD and age at the level of significance p=0.007. The linear regression equation is: t=-0.03968 *age+1.268, (r=-0.473). In women with osteopenia, a significant increase in indicators was found for almost all algorithms for assessing the 10-year risk of fractures at p<0.05 (except for FRAX Hiр without BMD (p=0.087)) and a significant decrease in ultrasound densitometry indicators compared with women with normal BMD. Women with fractures had significantly higher scores according to the FRAX Total algorithms without BMD (p=0.002), FRAX Hiр without BMD (p=0.004) and Q-fracture Hiр (p=0.044). Conclusions. Most women had osteopenic manifestations according to ultrasound densitometry. Age significantly correlates with BMD parameters. The numbers of women with changes in the structure of bone tissue increases with age, and, after 70 years, all women have osteopenic manifestations. The algorithms for assessing the 10-year risk of fractures FRAX and Q-Fracture reliably correlate with densitometry indicators. The combination of ultrasound densitometry with algorithms for assessing the risk of osteoporotic fractures significantly increases the diagnosis of osteoporosis
Effective isolation of Sertoli cells from New Zealand rabbit testis

Objective: Sertoli cells (SCs) are important sustentacular cells in the seminiferous tubules of the testis. Isolation and identification of SCs are the premise for studying their functions. Since New Zealand rabbit is a stable strain which is widely used for biomedical research and animal farming, this study aimed to develop a simple and effective protocol for SC isolation in New Zealand rabbits. Materials and Methods: The SCs of three 30-day-old New Zealand rabbits were isolated by incubation with enzymatic digestion I (Dulbecco’s modified Eagle medium supplemented with 1 mg/ml collagenase IV and 50 μg/ml DNase I) and digestion II (digestion I + 1 mg/ml hyaluronidase + 1 mg/ml trypsin), as well as differential plating. The cells were enriched and identified by using immunocytochemical staining and reverse transcription polymerase chain reaction analysis. Results: Homogeneous cells were obtained. They presented the typical large cell body and an irregular pyramidal shape after differential plating and passaging. These cells expressed mRNA of the SC marker sex-determining region Y-box 9 (SOX9) instead of the Leydig cell marker StAR. Immunocytochemically, they are positive of SOX9, GATA binding protein 4, and androgen-binding protein. Conclusion: The SCs were enriched from the testicular tissues of prepubertal New Zealand rabbits by a simple and effective protocol, which provides a basis for further theoretical researches and practical applications.