Miracle-dz/UniFAR-FTUs huggingface dataset:
Framework for Domain-Oriented Academic Literatures Retrieval

A literature retrieval system, which returns user papers domain-related with queries and ranks papers by importance, can help users quickly learn one academic domain. This paper develops a framework for the domain-oriented literature retrieval, which combines links and contents analysis to search and rank important papers in one academic domain. This framework designs a score function that evaluates both importance of the paper and its relevance to the domain. The study first proposes a community-core discovery algorithm, which is capable of finding a collection of papers domain-related with query from citation network and calculates an importance score for each paper. To assign other papers a domain-related score, a supervised non-negative matrix factorization method, using identified domain-related paper as prior knowledge, is also developed. The experiments conducted on synthetic and real datasets demonstrate the feasibility and applicability of this framework.
Packaging fault-tolerant software with Ada

The ability of the Ada programming language to support a software-engineering approach to building fault-tolerant applications systems by distributed redundant abstract data types (ADTs) is discussed. It is shown that the package, the separation of the specification from the implementation parts, the typing and exception handling mechanisms, and the nondeterministic rendezvous of the Ada language contribute to the fault-tolerance of systems constructed in this fashion. <<ETX>>
Passive sonar signature estimation using bispectral techniques

An important task in underwater passive sonar signal processing is the determination of target signatures based on the narrow-band signal content in the received signal. To achieve good classification performance it is important to be able to separate the different sources (e.g. engine, hull and drive) present in the signature, and to determine the distinct frequency coupling pattern of each of these sources. In this work we demonstrate how this can be done using bispectral techniques applied to data recorded at a sea trial in the Baltic Sea. As a target we used a 23 ft fiberglass motor boat powered by a 4-cylinder, 4-stroke, turbo-charged diesel engine connected to a stern drive with two counter rotating propellers. Data was recorded with a bottom mounted hydrophone array as well as with accelerometers mounted on the engine and the hull. It was found that the harmonics that propagated through water are engine related at low speeds and drive related at high speeds. The hull vibrations are only present at very low speeds. Moreover, we found that normalized bispectrum measures (skewness) could provide additional coupling information not visible in the standard bispectrum.
DSLs in Boo: Domain Specific Languages in .NET

A general-purpose language like C# is designed to handle all programming tasks. By contrast, the structure and syntax of a Domain-Specific Language are designed to match a particular applications area. A DSL is designed for readability and easy programming of repeating problems. Using the innovative Boo language, it's a breeze to create a DSL for your application domain that works on . NET and does not sacrifice performance. DSLs in Boo shows you how to design, extend, and evolve DSLs for . NET by focusing on approaches and patterns. You learn to define an app in terms that match the domain, and to use Boo to build DSLs that generate efficient executables. And you won't deal with the awkward XML-laden syntax many DSLs require. The book concentrates on writing internal (textual) DSLs that allow easy extensibility of the application and framework. And if you don't know Boo, don't worry-you'll learn right here all the techniques you need.
Diabetes Mellitus Management, Needs Reconsideration

Diabetes mellitus is progressively increasing worldwide and India is considered as Diabetes capital of the world with a projected incidence of 109 million by 2035, as this disease of luxury is affecting even down trodden daily wage earner hard workers and both sexes equally due to emergence of toxic non-nutrients in the diet, drinks and oil solely caused by rampant use of fertilizer, chemicals, pesticides, hormones, preservatives and processing. In addition, patients showing increased tolerability to high blood sugar level and growing resistance to continuing drug create suspicion regarding etio pathogenesis of hyperglycaemia. Objective of the study: To ascertain the incidence of diabetes mellitus among hard workers and pathophysiology of increased tolerance to high blood sugar level Material & method For the purpose 20,000 population of 20 Dalit hamlets and 10 villages of Nawada district aged > 35 years were interrogated thoroughly, examined clinically and screened for blood sugar urine sugar and other bio parameters . In addition patients of Diabetes mellitus attending Institute Of Applied Endocrinology and Aarogyam Punarjeevan Patna 14 were also evaluated accordingly. Result Study reveals adjuvant hepatogogue with ant diabetic drug and dietary restriction check circadian variation of blood sugar and ensures blood sugar bioregulation with continued tapering of anti-diabetic dose without any consequent sequel or adversity. Toxic non-nutrient dietary constituents suppress secretion and production of GLP 1 in the L cells of mucosal lining of the small intestine and stimulate production of Dipeptidyl peptidase 4 which further increases GPL 1 degradation resulting in decrease in volume of insulin secreting β cells in the pancreas and decline in insulin release manifesting as hyperglycemia while altered hepatic profile and better glycemic control on adjunction of hepatogogue with ant diabetic drug and restricted first diet to 100 calories suggest hyperglycaemia as a combined effect of hepatic and pancreatic dysfunction . In addition no patients were given any anti-diabetics without repeated screening for fasting, post prandial, before and after lunch and dinner to adjudge any circadian variation. Majority patients of study group had complete bioregulation of blood sugar without any adjuvant or adversity. Conclusion Thus in present scenario prior to ad vocation of anti-diabetic drugs in newly detected cases and alteration in dose of antidiabetic drugs in old diabetics Patients must be reassessed after due change in Diet, lifestyle, stress redressal, Timely advocation of drugs and diet, to ensure blood sugar bioregulation. Keywords: Glycemiccontrol, Bio regulation, circadian variation, Dysfunction, Stress redressal.
Proceedings of the Workshop on Comparing Corpora

Anyone who has worked with corpora will be all too aware of differences between them. Depending on the differences, it may, or may not, be reasonable to expect results based on one corpus to also be valid for another. It may, or may not, be appropriate for a grammar, or parser, based on one to perform well on another. It may, or may not, be straightforward to port an application from a domain of the first text type to a domain of the second. Currently, characterisations of corpora are mostly textual and informal. A corpus is described as "Wall Street Journal" or "transcripts of business meetings" or "foreign learners' essays (intermediate grade)". It would be desirable to be able to place a new corpus in relation to existing ones, and to be able to quantify similarities and differences.
Competitive Influence Maximization within Time and Budget Constraints in Online Social Networks: An Algorithmic Approach

Competitive Influence Maximization ( CIM ) problem, which seeks a seed set nodes of a player or a company to propagate their product’s information while at the same time their competitors are conducting similar strategies, has been paid much attention recently due to its application in viral marketing. However, existing works neglect the fact that the limited budget and time constraints can play an important role in competitive influence strategy of each company. In addition, based on the the assumption that one of the competitors dominates in the competitive influence process, the majority of prior studies indicate that the competitive influence function (objective function) is monotone and submodular.This led to the fact that CIM can be approximated within a factor of 1 − 1 / e − ϵ by a Greedy algorithm combined with Monte Carlo simulation method. Unfortunately, in a more realistic scenario where there is fair competition among competitors, the objective function is no longer submodular. In this paper, we study a general case of CIM problem, named Budgeted Competitive Influence Maximization ( BCIM ) problem, which considers CIM with budget and time constraints under condition of fair competition. We found that the objective function is neither submodular nor suppermodular. Therefore, it cannot admit Greedy algorithm with approximation ratio of 1 − 1 / e . We propose Sandwich Approximation based on Polling-Based Approximation ( SPBA ), an approximation algorithm based on Sandwich framework and polling-based method. Our experiments on real social network datasets showed the effectiveness and scalability of our algorithm that outperformed other state-of-the-art methods. Specifically, our algorithm is scalable with million-scale networks in only 1.5 min.
Design of Trust Model For Efficient Cyber Attack Detection on Fuzzified Large Data using Data Mining techniques

Recently Network Intrusion Detection System (IDS), is being used as the main security defending technique. It is second guard for a network after firewall. Various approaches from data mining to soft computing fields have been used for detecting the misuse and anomaly attacks from the network. A significant challenge in providing an effective defense mechanism to a network perimeter is having the ability to detect intrusions and implement countermeasures. Components of the network perimeter defense capable of detecting intrusions are referred to as Intrusion Detection Systems (IDS). In this paper after studying the research done in the field we proposed a model in which first dimension reduction technique is applied. Secondly on reduced data set fuzzification of feature values is done to get simpler range. Thirdly combination of clustering and naive based approach ,on the large test dataset applied. Obtained results are analyzed on detection rate, False positive rate and precision rate. Fuzzy logic based discretization of the dataset has helped to improve the training data representation, and performs well in terms of detecting attacks faster and with reasonable reduction in false alarm rate.
IMPLEMENTASI SISTEM TEMU KEMBALI CITRA BERBASIS ISI DENGAN METODE JARAK INFORMASI YANG DINORMALISASI

Ide pokok dari content-based image retrieval (CBIR) atau sistem temu kembali citra berbasis isi adalah mencari konten visual pada citra secara langsung. Umumnya, fitur-fitur seperti warna, bentuk, tekstur di-ekstrak dari setiap citra dan diatur dalam sebuah vektor fitur. Temu kembali (retrieval) dilakukan dengan sebuah query citra sebagai masukan oleh pengguna dan alat ukur yang digunakan untuk menemukan hasil pencocokan terbaik pada ruang fitur. Tugas Akhir ini mengimplementasikan pengukuran ketidaksamaan citra yang mengikuti dasar teori dari normalized information distance (NID). Alat ukur dari pencarian citra ini menggunakan metode NID dengan pendekatan kompleksitas Kolmogorov. Pendekatan tersebut dibuat dengan metode teknik kompresi GZIP. Perhitungan jarak NID pada Tugas Akhir ini menggunakan dua metode yaitu NID sederhana dan NID dengan interleaving. Uji coba yang dilakukan pada Tugas Akhir ini menggunakan data citra dari University of Washington dan SIVAL benchmark. Hasil dari uji coba yang dilakukan mengatakan bahwa pendekatan perhitungan NID dapat dijanjikan dan dibuktikan kebenarannya untuk sistem CBIR.Keuntungan utama dari metode ini adalah tidak terdapat ekstraksi fitur dalam CBIR sehingga dapat digunakan untuk semua jenis citra tanpa membedakan ekstraksi fitur-fiturnya.
Maximum likelihood multipath channel estimation for synchronous-CDM systems

In the growing market of digital broadcasting, code division multiplexing (CDM) techniques seem to be very promising. Personal and mobile digital communications applications will have to cope with harsh propagation conditions, characterised by multipath and fading phenomena. Spread spectrum techniques possess intrinsic protection against such frequency-selective channels, but, when the system is loaded, additional multipath processing is required at the receiver side to guarantee good performance. An accurate knowledge of the channel parameters is needed to perform multipath processing. In the paper a novel family of maximum likelihood channel estimators for S-CDM systems is derived. Estimators performance, evaluated and optimised for the Gold code family, shows a good robustness also for large carrier frequency offsets.
Questionnaire survey comparing surgery and stereotactic body radiotherapy for lung cancer: lessons from patients with experience of both modalities.

Background Currently, there is some controversy regarding indications for stereotactic body radiotherapy (SBRT) for lung cancer patients. We investigated the treatment preferences of patients with experience of both surgery and SBRT using a questionnaire survey. Methods Of lung cancer patients treated with SBRT between 2005 and 2017, we identified those who also previously underwent surgery for lung cancer. These patients were asked about their experiences of surgery and SBRT including perceived condition, distress, stress, convenience, adverse effects, and satisfaction during and after treatment. Participants were also asked about treatment decision-making for hypothetical scenarios. Results Of 653 lung cancer patients treated with SBRT, 149 also underwent surgery for lung cancer, 52 of whom participated in this questionnaire. The median age at the time of this survey was 76 years (range, 59-91 years). Significantly more participants had a favorable impression of SBRT during and after treatment (all question items; P<0.01). In terms of overall satisfaction, 27 patients preferred SBRT and three patients preferred surgery. In a hypothetical scenario (equivalent treatment outcomes) aged 70 years and faced with decision-making for first-time lung cancer treatment, significantly more patients selected SBRT (P<0.01): 38 patients selected SBRT. In a scenario with 20% better survivals for surgical resection, 14 patients selected SBRT, 12 selected surgery, and 26 were indecisive (P=0.47). In a scenario at age 80 years, significantly more patients selected SBRT (P<0.01). Conclusions Most patients with experience of both surgery and SBRT for lung cancer prefer SBRT. This information would be helpful at treatment decision-making.
Sistemas de detección de modo isla en inversores conectados a la red eléctrica: análisis del estado del arte

Este articulo presenta un analisis del estado del arte de los diferentes sistemas de deteccion de modo isla en inversores conectados a la red electrica. Los metodos de deteccion en generadores distribuidos (GD) pueden ser divididos en locales y remotos. Los remotos se basan en un sistema de generacion centralizado, ya que son estos los que envian la informacion (o avisan) para la operacion en modo isla. Mientras que en los metodos locales se realiza la deteccion en los GDs yse pueden dividir en tecnicas activas y pasivas. Palabra(s) Clave(s): generacion distribuida, micro-red, zona de no deteccion.
Determinants of Childhood Obesity and Policy and Programme Response in Ghana

ix INTRODUCTION: THE EMERGING WORLD TREND OF CHILDHOOD OBESITY . x THE STRUCTURE OF THE THESIS . x CHAPTER 1.0 BACKGROUND INFORMATION . 1 1.1 GEOGRAPHY AND DEMOGRAPHY . 1 1.2 ECONOMY . 2 1.3 EDUCATION . 2 1.4 AGRICULTURE, FOOD PRODUCTION AND TRADE . 2 1.5 HEALTH . 3 CHAPTER 2.0 PROBLEM ANALYSIS, RATIONALE AND METHODS OF STUDY . 4 2.1 PROBLEM STATEMENT AND JUSTIFICATION . 4 2.2 RESEARCH QUESTION . 5 2.3 OBJECTIVES . 6 2.3.1 General Objective . 6 2.3. 2 Specific Objective . 6 2.4 METHODOLOGY . 6 2.4. 1 Search Strategy . 6 2.4. 2 Inclusion and Exclusive Criteria . 6 2.4. 3 Research Table . 7 2.5 CONCEPTUAL FRAMEWORK . 8 2.5. 1 Description of Conceptual Framework . 9 CHAPTER 3.0 DRIVERS OF CHILDHOOD OBESITY, POLICY AND PROGRAMME RESPONSE IN GHANA . 10 3.1 DRIVERS OF CHILDHOOD OBESITY . 10 3.1.1 Health Behaviours . 10 3.1.2 Biological factors . 12 3.1.3 Environmental Drivers . 13 3.1.4 The General Structural Drivers . 17
Topologies and design considerations for distributed power system applications

This paper describes developments in the technology of converters primarily intended for server-type distributed power system (DPS) applications. The paper first addresses the single-phase two-stage DPS, discussing the available options for simple power factor correction and high-performance DC-DC converters. Next, the concept is extended to three-phase high-power front-end converters, which also use a two-stage approach. Finally the paper presents the developments in load converters, with emphasis on low-, medium-, and high-voltage regulator modules used to supply high-performance microprocessors. The discussion throughout the paper is supported by an extensive list of references and experimental results.
Cooperative Communication: A Review

Abstract The next generation wireless systems are supposed to handle high data rate as well as large coverage area. It should consume less power and utilize bandwidth efficiently. At the same time, the mobile terminals must be simple, cheap, and smaller in size. In wireless environment, the quality of received signal level degraded due to path-loss and shadowing from various obstacles in propagation path. In addition to this, signal quality suffers from fading due to constructive and destructive interference of multi-path components which makes it difficult for the receiver to extract the message correctly. Effect of fading can be suppressed by diversity technique in which replicas of signal is provided to the receiver. Receiver can make a decision on behalf of these replicas; hence, reliability of reception can be improved. Diversity can be achieved with the help of multi-antenna system where multiple antennas are installed at transmitter/receiver. However, implementing multiple antennas at wireless terminal is not practical due to size, cost, and weight constraints. Recently, cooperation among nodes has been the subject of great interest among the research community because it creates spatial diversity in wireless network, even if individual nodes do not use antenna arrays for transmis sion and reception. Here, achieved diversity gains can be translated into robustness against fading for same transmit power or substantially reduced transmitted power for same level of performance. In this paper, we discussed the state of art of cooperative communication.
Intelligent Techniques in Decision Making: A Survey

Background/Objectives: With the idea of enhancing the capability and effectiveness of decision making while dealing complex problems and under uncertain environments, this article provides an insight to the leading intelligent techniques that could be employed to enrich the decision-making process. Methods/Statistical Analysis: Leading techniques like expert system, artificial neural network, fuzzy system, evolutionary computing, rough set, data mining and intelligent agent are being investigated in this review for analyzing the data so as to take a prudent decision making. Findings: However, one technique does not fit for all problem domains, hence basing on the complexity and to underlying data; it has been found as which technique could be employed for a particular problem to elicit the desired knowledge out of it. Application/Improvements: This study can be helpful for designing an intelligent decision system which can be tailored for the organizations basing on their domain and nature of data. However, a hybrid intelligent technique could be proposed which could handle the decision making process in an extremely efficient manner.
A DATA MINING METHOD FOR THE SOLUTION OF FLUID-FLOW PROBLEM

Discovering market baskets is an attractive topic of data mining theory. In most studies the researchers considered the purchases or the transactions of the customers as a set of items. In other words, the transactions are analysed on conceptual level. In some recent studies quantitative approach was proposed. The researchers are interested not only in the items or products chosen by the customers, but also in the quantity of each item or product in the transactions. This study is a continuation of a previous research. The transactions are characterized as a set of quantified items. This allows us to use algebraic methods as efficient tools to establish a formal description of market basket model. The advantage of this approach is that we can have better insight to the natural order between transactions and the role of network structure on them. In this general model the well-known results of lattice theory are applied. The explicit representation of frequent transactions or market baskets, as well as of the association rules are tested by a program. The results of testing show that the algorithms finding frequent transactions and confident association rules are efficient and can be used to explore frequent customers’ baskets, the association rules between the products, as well as the natural associations between different flows of the economic activities.
Correlation between carotid intima-media roughness and cardiovascular risk factors

Arterial intima-media roughness (IMR) may indicate an early manifestation of atherosclerosis. To date, few studies have been performed to quantitatively evaluate carotid IMR by ultrasonography (US). The aim of the present study was to analyze the effect of cardiovascular risk factors on carotid IMR. A total of 185 subjects were enrolled for US examination of carotid arteries. Carotid intima-media thickness (IMT) and IMR were measured in US images by a novel automatic software. According to the number of combined high-risk factors for coronary heart disease, subjects were assigned to four groups (risk groups 0, 1, 2 and 3+). IMR was lowest in risk group 0 (32.9±2.7 µm), higher in risk group 1 (64.5±6.9 µm; P<0.01 vs. risk group 0) and highest in risk groups 2 and 3+ (89.1±7.4 and 92.0±6.7 µm, respectively; P<0.01 vs. risk groups 0 and 1). According to a multivariate regression analysis, age, systolic blood pressure, smoking status and the triglyceride/high-density lipoprotein cholesterol ratio were significant predictors of IMR. There was a progressive increase in carotid artery plaque with increasing tertiles of IMR (4.9, 33.9 and 53.2% in tertiles 1, 2 and 3, respectively; P<0.05). Compared with that of subjects in the lowest tertile of IMR, those in the highest tertile had a significantly elevated risk of the presence of plaque in the carotid tree (odds ratio=10.61, 95%CI: 2.15–52.49, P=0.004). Quantification of carotid IMR from US images with this software is feasible, and carotid IMR, which may help estimate the extent of atherosclerosis, may be used as a complementary factor to stratify patients with cardiovascular risk factors.