Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficient and Error-bounded Spatiotemporal Quantile Monitoring in Edge Computing Environments

Underlying many types of data analytics, a spatiotemporal quantile monitoring (SQM) query continuously returns the quantiles of a dataset observed in a spatiotemporal range. In this paper, we study SQM in an Internet of Things (IoT) based edge computing environment, where concurrent SQM queries share the same infrastructure asynchronously. To minimize query latency while providing result accuracy guarantees, we design a processing framework that virtualizes edge-resident data sketches for quantile computing. In the framework, a coordinator edge node manages edge sketches and synchronizes edge sketch processing and query executions. The co-ordinator also controls the processed data fractions of edge sketches, which helps to achieve the optimal latency with error-bounded results for each single query. To support concurrent queries, we employ a grid to decompose queries into subqueries and process them efficiently using shared edge sketches. We also devise a relaxation algorithm to converge to optimal latencies for those subqueries whose result errors are still bounded. We evaluate our proposals using two high-speed streaming datasets in a simulated IoT setting with edge nodes. The results show that our proposals achieve efficient, scalable, and error-bounded SQM.
Lutsk , Ukraine FEATURES OF THE MAIN DIRECTIONS , TECHNIQUES AND METHODS OF PROTECTION AGAINST FISHING ATTACKS

Andrushchak I.Ye. Features of the main directions, techniques and methods of protection against fishing attacks. This article discusses common modern heuristic technologies used in anti-phishing tools and protection methods. An overview of different types of mobile phishing attacks is given, as well as the main methods of detecting and reducing the level of fishing attacks.
Load Balancing in PFC-Enabled Datacenter Networks

In Priority Flow Control (PFC) enabled datacenter networks (DCNs), PFC is inevitably triggered due to bursty traffic even with end-to-end congestion control. Load balancing as a complementary mechanism to transport protocols can make rerouting decisions in time to alleviate PFC’s head-of-line (HoL) blocking problem. However, prior solutions designed for lossy DCNs do not work well in PFC-enabled networks, because the unreliable rerouting signals such as separate local queue length, round-trip time (RTT), explicit congestion notification (ECN), and link load cannot timely and correctly reflect PFC pausing. We present a PFC-aware Load Balancer called PLB, which is resilient to hop-by-hop PFC pausing. At its heart, PLB leverages RTT-level signals (i.e., RTT and link utilization) and sub-RTT level signal (i.e., cumulative sojourn time) to react to PFC pausing timely and select the appropriate path rationally. This enables PLB to efficiently balance traffic and mitigate the victim flows suffering from serious HoL blocking. The NS-3 simulation results show that PLB handles PFC pausing well under realistic workloads and significantly reduces the average flow completion time by up to 24%, 30%, and 37% compared to CONGA, DRILL and Hermes, respectively.
Round Efficient Byzantine Agreement from VDFs

Byzantine agreement (BA) is a fundamental primitive in distributed systems and has received huge interest as an important building block for blockchain systems. Classical byzantine agreement considers a setting where n parties with fixed, known identities want to agree on an output in the presence of an adversary. Motivated by blockchain systems, the assumption of fixed identities is weakened by using a resource-based model . In such models, parties do not have fixed known identities but instead have to invest some expensive resources to participate in the protocol. Prominent examples for such resources are computation (measured by, e.g., proofs-of-work) or money (measured by proofs-of-stake). Unlike in the classical setting where BA without trusted setup (e.g., a PKI or an unpredictable beacon) is impossible for t ≥ n/ 3 corruptions, in such resource-based models, BA can be constructed for the optimal threshold of t < n/ 2 . In this work, we investigate BA without a PKI in the model where parties have restricted computational resources. Concretely, we consider sequential computation modeled via computing a verifiable delay function (VDF) and establish the following results:
MULTICLASS SKIN LESS IONS CLASSIFICATION BASED ON DEEP NEURAL NETWORKS

Skin diseases diagnosed with dermatoscopy are becoming more and more common. The use of computerized diagnostic systems becomes extremely effective. Non-invasive methods of diagnostics, such as deep neural networks, are an increasingly common tool studied by scientists. The article presents an overview of selected main issues related to the multi-class classification process: the stage of database selection, initial image processing, selection of the learning data set, classification tools, network training stage and obtaining final results. The described actions were implemented using available deep neural networks. The article pay attention to the final results of available models, such as effectiveness, specificity, classification accuracy for different numbers of classes and available data sets.
Evaluation of an SDN-based Microservice Architecture

Microservice architectures decompose applications into individual components for enhanced maintainability and horizontal scaling, but also comes with an increased cost for orchestrating the services. Software-Defined Networks (SDNs) enables the dynamic configuration of network switches using controllers. In this paper we propose a microservice architecture that leverages SDN to orchestrate the microservices with the goal of reducing the orchestration latency cost. We perform a set of experiments using Mininet in which we implement a tailor-made microservice application that uses SDN for orchestration in combination with a set of different controllers and load balancers. Our results show that our proposed architecture performs in the same order of magnitude as a corresponding monolithic system.
SPECIFICS AND DYNAMICS OF THE MEANING OF CHRONIC PAIN EXPERIENCES TO PATIENTS WITH DEPRESSION

Depression is a psychological factor that affects not only the pain sensation but also the pain experiences. Purpose: The aim of the study was to analyze and summarize the specifics and dynamics of chronic pain experiences in patients with depression. Materials and methods: A sample of 120 patients with chronic pain was studied. Sixty-one patients had clinically manifested depressive episodes, and the other fifty-nine – had no depression. The study was phased. The second stage was performed three months after the first. The patients with depression received antidepressant treatment between the two stages. The sample was evaluated with: 1) quantitative methods: HAM-D-17 for the severity of depression, Spielberger's questionnaire for state and trait anxiety degree and VAS for pain intensity; and 2) qualitative method – content-analysis of the answers to the question "What does pain mean to you? ". Results: The mean age of the sample was 51.90 (SD=11.94). Women predominate (81.7%) over men (18.3%). The group with depression had a high degree of state and trait anxiety and moderate pain intensity. The content-analysis revealed that the experience of pain as punishment was specific for patients with depression. The reduction of the mean value of the severity of depression from moderate to mild in the second stage influenced the dynamics of the pain experiences in the direction of a limitation. Conclusion: Depression is a factor influencing the meaning of chronic pain experience. The search for depressive symptoms and specific experiences and their intervention is substantial in the management of chronic pain.
The effects of material’s features and feeding mechanism on high-gain antenna construction

This study investigates the performance of flexible, wideband antennas with high gain properties. The high gain feature can often be obtained by positioning a reflector in the same planes as the adjacent radiator. For flexibility, this survey discusses the antennas that were printed on the flexible substrate materials. Based on these properties, the antenna can be recognized in a variety of wireless applications, including wireless local-area-network (WLAN), Worldwide Interoperability for microwave access (WI-Max), wireless body area network (WBAN), and radio frequency identification (RFID), as well as wearable applications. The high-gain antennas are compact radio wave-based antennas that provide precise radio transmission management. Such antennas deliver more energy to the receiver, increasing the frequency of the received signal. By gathering more power, high-gain antennas may emit signals quicker. Furthermore, because directional antennas broadcast fewer signals from the main wave, interference may be greatly minimized. Finally, this article identifies the role of lightweight high gain flexible antennas in terms of their size, substrate materials, design, and feeding mechanisms, all of which can affect bandwidth, gain, radiation efficiency, and other important factors.
EVALUATION OF NAMED ENTITY RECOGNITION FOR THE GERMAN E-COMMERCE DOMAIN

Large online marketplaces offer search engines as an important navigation aid for their customers to navigate through the enormous number of different products and merchants. The quality of the search results depends to a large extent on the product information provided by the retailers. One way to improve search quality is to perform linguistic enhancement of the product data. For this, we use Named Entity Recognition to identify specific e-commerce entity types and give them higher weighting in the search. Typical entity types for the e-commerce domain are products, brands, and various product attributes. Recognition of e-commerce entity types for the German language remains a challenge due to the limited availability of existing resources and linguistic complexity. We address this challenge by acquiring data from two online e-commerce marketplaces to create six NER datasets based on German product titles and descriptions. Across these datasets, we evaluate the NER performance of the state-of-the-art models mBERT, GermanBERT, and XLM-RoBERTa. As a result, the XLM-RoBERTa model archived the best performance with an F1 score of 0.8611 averaged over all datasets.
Control Approaches for Robotic Knee Exoskeleton Device

We address the problem of controlling a knee exoskeleton device using noninvasive methods, i.e. the system is not interfaced directly on the brain or muscles. We focus on controlling periodic movement, i.e. periodic squatting, by extracting the frequency of human movement using the knee joint angle signal from the encoder. We chose squatting movement, because it roughly resembles common demanding movements with high metabolic costs, such as standing up from a chair or walking up and down the stairs. For extracting the basic frequency of the knee joint angle signal, we propose to use a single adaptive oscillator. The method uses a whole Fourier series representation in a feedback loop and it can extract the frequency and phase of an unknown periodic signal in real-time, without any additional signal processing or preprocessing tools. This method holds promise for the development and control of new robot- assisted devices since it does not requires complex signal sensing or user calibration.
THE EFFECT OF SOME FACTORS ON WHEAT PRODUCTION IN LIBYA: ARDL MODELING APPROACH

: The study is an attempt to examine the effect of farm price, wheat imports, and flour imports on wheat production empirically in Libya. The ARDL bounds approach was adopted to test the short and long-run among variables under investigation. The results indicated there is co-integration relationship among variables. In a long-run relationship among variables, it found the flour imports variable has effect on wheat production. Also, the findings clarify that the coefficient of the ECM is negative sign and significant (- 0.4788). The study recommends for increasing production of this commodity to exploit all irrigated agricultural lands in the public and private sectors in the production of wheat, and presenting financial support to irrigated farm's to produce wheat, and activating the role of agricultural extension for wheat producers to increase production. Combating the encroachment of urban expansion on agricultural lands. Using industrial river water to cover the deficit and reduce imports.
Application of Artificial Intelligence to Ultrasonography

The use of artificial intelligence (AI) technology in medicine has gained considerable attention, although its application in ultrasound medicine is still in its infancy. Deep learning, the main algorithm of AI technology, can be applied to intelligent ultrasound picture detection and classification. Describe the application status of AI in ultrasound imaging, including thyroid, breast, and liver disease applications. The merging of AI and ultrasound imaging can increase the accuracy and specificity of ultrasound diagnosis and decrease the percentage of incorrect diagnoses.
Different Metabolism and Toxicity of TRANS Fatty Acids, Elaidate and Vaccenate Compared to Cis-Oleate in HepG2 Cells

Trans fatty acids (TFAs) are not synthesized in the human body but are generally ingested in substantial amounts. The widespread view that TFAs, particularly those of industrial origin, are unhealthy and contribute to obesity, cardiovascular diseases and diabetes is based mostly on in vivo studies, and the underlying molecular mechanisms remain to be elucidated. Here, we used a hepatoma model of palmitate-induced lipotoxicity to compare the metabolism and effects of the representative industrial and ruminant TFAs, elaidate and vaccenate, respectively, with those of cis-oleate. Cellular FAs, triacylglycerols, diacylglycerols and ceramides were quantitated using chromatography, markers of stress and apoptosis were assessed at mRNA and protein levels, ultrastructural changes were examined by electron microscopy and viability was evaluated by MTT assay. While TFAs were just slightly more damaging than oleate when applied alone, they were remarkably less protective against palmitate toxicity in cotreatments. These differences correlated with their diverse incorporation into the accumulating diacylglycerols and ceramides. Our results provide in vitro evidence for the unfavorable metabolic features and potent stress-inducing character of TFAs in comparison with oleate. These findings strengthen the reasoning against dietary trans fat intake, and they can also help us better understand the molecular mechanisms of lipotoxicity.
Looking Into Mona Lisa’s Smiling Eyes: Allusion to an Illusion

We present results from two experiments aimed at studying the direction of Mona Lisa’s gaze and its affective expression. In experiment 1 we studied the effect of retinal image size on the perception of her gaze by manipulating observation distances of a high-quality print of the painting. Participants (N = 30) were asked to answer a simple question (is the person portrayed looking at you? ) from six different distances ranging from 55 to 755 cm. One group of participants started evaluations from 55 cm; the other group did the opposite. Results show an effect of distance on the perception of Mona Lisa’s gaze as staring at the observer: from the furthest distances, the impression of a staring Mona Lisa is robust; from the nearest distances, such impression becomes ambiguous. Experiment 2 presents data concerning the direction of Mona Lisa’s gaze and whether this appears to be smiling, derived from an experiment aimed at studying the impression of gaze (direction and emotional content) in portraits (paintings and photographs). Only data concerning Mona Lisa are reported. Participants (N = 41) were randomly assigned to one of two groups: on a LCD screen, one group saw the entire head, and the other group saw only a section reproducing Mona Lisa’s eyes. Experimental sessions were two: in session 1 participants had to decide whether the image (whole-head or eyes only) was looking at them; in session 2 participants had to decide whether the head (or the eyes) was smiling. RTs from the two groups of participants were not statistically significant. Results for session 1 confirm experiment 1’s general findings. Results for session 2 clearly show that Mona Lisa is not only smiling with her face, but also with her eyes. Results are discussed in relation to the literature on Mona Lisa’s gaze and smile.
A Study of Milkman’s Growth in Song of Solomon From Freud’s Personality Theory

In Song of Solomon, Morrison describes Milkman’s growing progress from a selfish and indifferent teenager to a mature and responsible man, which is a perfect example to initiation novel and Freud’s personality structure theory. This paper tries to analyze Milkman’s personality development in his growth process, which tends to reveal the psychological changes of his inner world and the real significance of growth: to gain self-sublimation by finding and recognizing one’s lost cultural root. Through Milkman’s growth progress, Morrison calls on the black minority to find their cultural self and identity by recognizing their ancestors, their black fellows and traditional African culture. Only in this way can the ethnic minorities find their true identities, achieve real independence and strive for more equality and freedom in the American mainstream society. Milkman’s spiritual growth also inspires readers to build their spiritual homelands.
Outdoor Air Pollution and Indoor Window Condensation Associated with Childhood Symptoms of Allergic Rhinitis to Pollen

Pollen is the main factor causing asthma and allergic rhinitis (AR). However, the key indoor and outdoor factors associated with childhood symptoms of allergic rhinitis (SAR) to pollen are unclear. We investigate the association of exposure to outdoor air pollution and indoor environmental factors with childhood SAR to pollen and consider SAR to pollen in different seasons. A cross-sectional study of 2598 preschool children aged 3–6 was conducted in Changsha, China (2011–2012). The prevalence of SAR to pollen in children and information on indoor environmental factors were obtained by questionnaire. Children’s exposure to outdoor air pollutants (PM10, SO2, and NO2) was estimated from the monitored concentrations. The association of exposure to indoor environmental factors and outdoor air pollution with childhood SAR to pollen was estimated by multiple logistic regression models using odds ratio (OR) and a 95% confidence interval (CI), and the relationship between outdoor air pollutants and childhood SAR to pollen was investigated using restricted cubic splines. We found that early-life and current exposure to outdoor air pollution were significantly associated with childhood SAR to pollen in autumn, including exposure to SO2 one year before conception (OR = 1.60, 95% CI = 1.08–2.37) and during entire pregnancy (OR = 1.49, 95% CI = 1.01–2.20) periods, exposure to PM10 during the current period (OR = 1.78, 95% CI = 1.07–2.96), and exposure to NO2 during the early-life (one year before conception and entire pregnancy) and current periods with ORs (95% CI) of 1.72 (1.10–2.71), 1.82 (1.17–2.83), and 1.94 (1.11–3.40), respectively. Further, we found significant associations of both prenatal and postnatal exposure to window condensation with childhood SAR to pollen, with ORs (95% CI) = 1.37 (1.05–1.77) and 1.38 (1.02–1.88), respectively. We encourage SAR to pollen sufferers to stay indoors due to outdoor air pollution and higher pollen concentration outdoors, but indoor ventilation should be maintained.
Numerical Linear Algebra with Applications

With a unified presentation of computation, basic algorithm analysis, and numerical methods to compute solutions, this book is ideal for solving real-world problems. It provides necessary mathematical background information for those who want to learn to solve linear algebra problems, and offers a thorough explanation of the issues and methods for practical computing, using MATLAB as the vehicle for computation. The proofs of required results are provided without leaving out critical details. The Preface suggests ways in which the book can be used with or without an intensive study of proofs.
Representing Physician Suicide Claims as Nanopublications: Proof-of-Concept Study Creating Claim Networks

Background In the poorly studied field of physician suicide, various factors can contribute to misinformation or information distortion, which in turn can influence evidence-based policies and prevention of suicide in this unique population. Objective The aim of this paper is to use nanopublications as a scientific publishing approach to establish a citation network of claims in peer-reviewed publications about the rate of suicide among US physicians. Methods A list of articles from a previously published scoping literature review on physician suicide was used to identify those articles that commented on or investigated suicidal behaviors of physician populations, including students, postgraduate trainees, and practicing physicians. The included articles were from peer-reviewed publications and asserted a claim about the annual rate of physician suicide. Manual data extraction was performed to collect article (or resource) type, title, authors, digital object identifier or URI, publication year, claim (about annual physician suicide rate), data of last access of the article (eg, for a webpage), and citations supporting the claim. Additional articles, websites, or other links were only added to the set of claims if they were cited by a peer-reviewed article already included in the data set. A nanopublication was created for each article or resource using Nanobench with an investigator-developed literature-based claim nanopublication template. Results A set of 49 claims concerning the rate of US physician suicide was represented as nanopublications. Analysis of the claim network revealed that (1) the network is not fully connected, (2) no single primary source of the claim could be identified, and (3) all end-point citations had a claim with no further citation, had no apparent claim, or could not be accessed to verify the claim. The nanopublication strategy also enabled the capture of variant claims published on a website. Conclusions Nanopublications remain to be adopted in broader scientific publishing in medicine, especially in publishing about physician mental health and suicide. This proof-of-concept study highlights an opportunity for more coordinated research efforts in the subject of physician suicide. Our work integrates these various claims and enables the verification of nonauthoritative assertions, thereby better equipping researchers to advance evidence-based knowledge and to make informed statements in the advocacy of physician suicide prevention. Representing physician suicide rate claims as nanopublications can be extended and improved in future work.