Dynamic Graph Reasoning for Conversational Open-Domain Question Answering

In recent years, conversational agents have provided a natural and convenient access to useful information in people’s daily life, along with a broad and new research topic, conversational question answering (QA). On the shoulders of conversational QA, we study the conversational open-domain QA problem, where users’ information needs are presented in a conversation and exact answers are required to extract from the Web. Despite its significance and value, building an effective conversational open-domain QA system is non-trivial due to the following challenges: (1) precisely understand conversational questions based on the conversation context; (2) extract exact answers by capturing the answer dependency and transition flow in a conversation; and (3) deeply integrate question understanding and answer extraction. To address the aforementioned issues, we propose an end-to-end Dynamic Graph Reasoning approach to Conversational open-domain QA (DGRCoQA for short). DGRCoQA comprises three components, i.e., a dynamic question interpreter (DQI), a graph reasoning enhanced retriever (GRR), and a typical Reader, where the first one is developed to understand and formulate conversational questions while the other two are responsible to extract an exact answer from the Web. In particular, DQI understands conversational questions by utilizing the QA context, sourcing from predicted answers returned by the Reader, to dynamically attend to the most relevant information in the conversation context. Afterwards, GRR attempts to capture the answer flow and select the most possible passage that contains the answer by reasoning answer paths over a dynamically constructed context graph . Finally, the Reader, a reading comprehension model, predicts a text span from the selected passage as the answer. DGRCoQA demonstrates its strength in the extensive experiments conducted on a benchmark dataset. It significantly outperforms the existing methods and achieves the state-of-the-art performance.

Deep Learning Based Question Answering Search Engine

Domain based Question Answering is concerned with building systems which provide answers to natural language questions that are asked specific to a domain. It comes under Information Retrieval and Natural language processing. Using Information Retrieval, one can search for the relevant documents which may contain the answer but it won’t give the exact answer for the question asked. In the presented work, a question answering search engine has been developed which first finds out the relevant documents from a huge textual document data of a construction company and then goes a step beyond to extract answer from the extracted document. The robust question answering system developed uses Elastic Search for Information Retrieval [paragraphs extraction] and Deep Learning for answering the question from the short extracted paragraph. It leverages BERT Deep Learning Model to understand the layers and representations between the question and answer. The research work also focuses on how to improve the search accuracy of the Information Retrieval based Elastic Search engine which returns the relevant documents which may contain the answer.

INVESTMENTS IN TECHNOLOGICAL LAYOUT. STIMULATION TOOLS

An issue of the economic growth launching in Russia and carrying out technological renewal of the economy seems to be the central task at the current stage of the country’s economic development. However, the overwhelming majority of theories of economic growth, as well as the classical theory of economic policy, do not give an exact answer as to the technological renewal in the economy and its role when changing the structure of technologies and investments in them. The present study fills that apparent gap, and on the basis of the theory of technological paradigms created by the Russian school of economic thought. The purpose of the study is to structurally analyze the dynamics of investments in fixed assets in the technological structures of the Russian economy with an assessment of the impact on it of certain instruments of macroeconomic policy. On the basis of taxonomic methods of identifying paradigms by types of economic activity, the authors propose a solution to the problem of measuring structures and the investments made in them. The stages in the methodology for the struc- tural analysis and assessment of the economic policy instruments impact- ing through the regression econometric analysis on the target investment function of each of the identified paradigms are formed. The study resulted in obtaining a picture of the distribution of the impact of macroeconomic policy instruments separately for each technological paradigm, according to the selection made. That allows, firstly, to understand the dispersed power of the influence of the economic policy being implemented, and secondly, to see the possibilities of correcting the ongoing structural and investment policy and the use of macroeconomic instruments, as well as institutional changes – individual for each element of the structure – technological paradigm. The prospect of the study is the development of various models based on the selected structure of technological paradigms and investments in them, linking the development of structures and detailing the impact of each of the economic policy instruments.

COMPARATIVE ANALYSIS OF COMPETITIVE SWIMMING BETWEEN EUROPEAN AND B&H SWIMMERS IN THE 50M DISCIPLINE

The subject of the research is competitive swimming in Europe (EUR) and Bosnia and Herzegovina (B&H) from 2008 to 2018, discipline of 50m freestyle for male seniors. The problems of the research are trends, dynamics and differences between swimmers from Bosnia and Herzegovina and swimmers from Europe. The objectives of the research are: 1.To identify trends in swimming development in EUR and B&H from 2008 to 2018. 2. To determine the statistical significance of differences between EUR swimmers and B&H swimmers. 3. To evaluate the results for 2020 based on linear functions. In accordance with the set goals of the research, appropriate statistical methods and tests were applied, which enabled an exact answer to the set hypotheses and goals. The variables were being monitored in this study: 1.The time of the eight finalists 2. The time of the first three swimmers. 3. The Winner time. 4. The Record time. Based on the achieved results, it can be validly and reliably concluded that there is generally an improvement in results for EUR swimmers and B&H swimmers. It is statistically proven that there is a significant difference in the achieved results. European swimmers showed better results that were statistically significant. Linear functions i.e trends indicate that there is a small difference. There are more reasons for lagging of B&H’s swimmers behind the European swimmers. In the post-war period there are no elementary material, professional, coaching and other assumptions that enable better results either in swimming or in other sports in Bosnia and Herzegovina

It is better an approximate answer to the right question than the exact answer to the wrong question : the case of the psychometric analysis of the ASQ:SE

One of the main activities in psychometrics is to analyze the internal structure of a test. Multivariate statistical methods, including Exploratory Factor analysis (EFA) and Principal Component Analysis (PCA) are frequently used to do this, but the growth of Network Analysis (NA) places this method as a promising candidate. The results obtained by these methods are of valuable interest, as they not only produce evidence to explore if the test is measuring its intended construct, but also to deal with the substantive theory that motivated the test development. However, these different statistical methods come up with different answers, providing the basis for different analytical and theoretical strategies when one needs to choose a solution. In this study, we took advantage of a large volume of published data (n = 22,331) obtained by the Ages and Stages Questionnaire Social-Emotional (ASQ:SE), and formed a subset of 500 children to present and discuss alternative psychometric solutions to its internal structure, and also to its subjacent theory. The analyses were based on a polychoric matrix, the number of factors to retain followed several well-known rules of thumb, and a wide range of exploratory methods was fitted to the data, including EFA, PCA, and NA. The statistical outcomes were divergent, varying from 1 to 6 domains, allowing a flexible interpretation of the results. We argue that the use of statistical methods in the absence of a well-grounded psychological theory has limited applications, despite its appeal. All data and codes are available at https://osf.io/z6gwv/.

The role of collagen protein genes in the development of pelvic floor dysfunction in women

Коллагеновые волокна играют существенную роль в формировании связочного аппарата тазового дна. Однако, проведенные ранее исследования не дают точного ответа о роли полиморфных вариантов генов коллагена в дисфункции тазового дна. Целью настоящего исследования было определить ассоциацию однонуклеотидных полиморфизмов rs1800012 гена COL1A1, rs1800255 и rs1801184 гена COL3A1, rs2236479 гена COL18A1 и их сочетаний c пролапсом тазовых органов (ПТО) и стрессовым недержанием мочи (НМ). Группу исследования составили 150 пациенток с ПТО и/или НМ. В группу контроля вошли 100 пациенток без тазовой дисфункции. Пациентки были сопоставимы по возрасту и внешним факторам риска. Ассоциаций между полиморфизмами rs1800012 гена COL1A1, rs1800255 и rs1801184 гена COL3A1, rs2236479 гена COL18A1 и тазовой дисфункцией выявлено не было. Collagen fibers play a significant role in the formation of the ligamentous apparatus of the pelvic floor. However, previous studies do not give an exact answer about the role of polymorphic variants of collagen genes on pelvic floor dysfunction. The aim of this study was to determine the association of single nucleotide polymorphisms rs1800012 of the COL1A1 gene, rs1800255 and rs1801184 of the COL3A1 gene, rs2236479 of the COL18A1 gene and their combinations with pelvic organ prolapse (POP) and stress urinary incontinence (SUI). The study group consisted of 150 patients with POP and/or SUI. The control group included 100 patients without pelvic dysfunction. Patients were comparable in age and external risk factors.All patients received a buccal epithelium for analysis. Sequencing was carried out by the Sanger method. Association between the rs1800012 polymorphisms of the COL1A1 gene, rs1800255 and rs1801184 of the COL3A1 gene, rs2236479 of the COL18A1 gene and pelvic dysfunction were not detected.

Analytical Scheme for Solid Stress Analysis

The aim of this paper is to provide a suitable formulation for obtaining an exact answer, for stress analysis of structure with linear elastic behavior. This structure is assumed to be continuous and has unique solution. All the required partial differential equations, namely the equilibrium and compatibility equations, are satisfied. Moreover, the boundary conditions are fulfilled during the solution process. A few available benchmark problems along with some proposal ones are solved analytically, as well as, numerically. Besides, the presented formulas are checked both mathematically and by using a computer program. It is concluded that authors’ scheme offers the advantage of generality and accuracies in comparison to the numerical techniques.

Homomorphisms into Loop-Threshold Graphs

Many problems in extremal graph theory correspond to questions involving homomorphisms into a fixed image graph. Recently, there has been interest in maximizing the number of homomorphisms from graphs with a fixed number of vertices and edges into small image graphs. For the image graph $H_\text{ind}$, the graph on two adjacent vertices, one of which is looped, each homomorphism from $G$ to $H_\text{ind}$ corresponds to an independent set in $G$. It follows from the Kruskal-Katona theorem that the number of homomorphisms to $H_\text{ind}$ is maximized by the lex graph, whose edges form an initial segment of the lex order. A loop-threshold graph is a graph built recursively from a single vertex, which may be looped or unlooped, by successively adding either a looped dominating vertex or an unlooped isolated vertex at each stage. Thus, the graph $H_\text{ind}$ is a loop-threshold graph. We survey known results for maximizing the number of homomorphisms into small loop-threshold image graphs. The only extremal homomorphism problem with a loop-threshold image graph on at most three vertices not yet solved is $H_\text{ind}\cup E_1$, where extremal graphs are the union of a lex graph and an empty graph. The only question that remains is the size of the lex component of the extremal graph. While we cannot give an exact answer for every number of vertices and edges, we establish the significance of and give bounds on $\ell(m)$, the number of vertices in the lex component of the extremal graph with $m$ edges and at least $m+1$ vertices.

Estimating the Density of States of Boolean Satisfiability Problems on Classical and Quantum Computing Platforms

Given a Boolean formula ϕ(x) in conjunctive normal form (CNF), the density of states counts the number of variable assignments that violate exactly e clauses, for all values of e. Thus, the density of states is a histogram of the number of unsatisfied clauses over all possible assignments. This computation generalizes both maximum-satisfiability (MAX-SAT) and model counting problems and not only provides insight into the entire solution space, but also yields a measure for the hardness of the problem instance. Consequently, in real-world scenarios, this problem is typically infeasible even when using state-of-the-art algorithms. While finding an exact answer to this problem is a computationally intensive task, we propose a novel approach for estimating density of states based on the concentration of measure inequalities. The methodology results in a quadratic unconstrained binary optimization (QUBO), which is particularly amenable to quantum annealing-based solutions. We present the overall approach and compare results from the D-Wave quantum annealer against the best-known classical algorithms such as the Hamze-de Freitas-Selby (HFS) algorithm and satisfiability modulo theory (SMT) solvers.

APPOINTMENT RULER EXCLUSIVE OF MULTIPLE TECHNO DECISION TREES REFLECTION TOWARDS RECITAL FOR EMPLOYABILITY

Invention and new thoughts are discovered mainly from the student’s doubts and questions, for the most part of the word towards “why”. If questioning plays vital roles, in the same way, the sense of answering attitude incorrect approach is a big challenge for tutor and parents. At the same point in time, if this happens at the interviewing spot, the exact answer is required to fulfill the interviewer to accomplish the employability. Even though the ability of techno parameters are statistically shown as good, average or excellent. Accurate Performance of analyzation is enforced to fulfill and provide good decision over their employability through the academic event to make assured with the towering career growth. Decisions can be ruled up to access the resultant factor at any cause of situation to prolong the features with a high impact factor of “Presence of Mind” with the different attitude as Think different Methodologies