Miracle-dz/UniFAR-FTUs huggingface dataset:
InMI and its potential originality – musical creativity in composers’ minds

The current article explores the potential innovativeness of Involuntary Musical Imagery and presents the current state of InMI researches. There is a lack of precise definition of the term, as well as related terms (such as earworm or musical imagery). InMI is often equated to earworms which does not do justice to its creative potential. Several authors suggest that InMI can be a source of new melodies useful for composers in their composition process. The article proposes that InMI can consist of new melodies and appear as a single event. Composers use their working memory and musical abilities to volitionaly loop the tune in their head, then transcribe it into external realm (notation, recording). Composers can later use it in their creative process. The use of InMI in composing is a matter of individual differences between composers.
Excitons in Metal‐Halide Perovskites

The unprecedented increase of the power conversion efficiency of metal‐halide perovskite solar cells has significantly outpaced the understanding of their fundamental properties. One of the biggest puzzles of perovskites has been the exciton binding energy, which has proved to be difficult to determine experimentally. Many contradictory reports can be found in the literature with values of the exciton binding energy from a few meV to a few tens of meV. In this review the results of the last few years of intense investigation of the exciton physic in perovskite materials are summarized. In particular a critical overview of the different experimental approaches used to determine exciton binding energy is provided. The problem of exciton binding energy in the context of the polar nature of perovskite crystals and related polaron effects which have been neglected to date in most of work is discussed. It is shown that polaron effects can reconcile at least some of the experimental observations and controversy present in the literature. Finally, the current status of the exciton fine structure in perovskite materials is summarized. The peculiar carrier–phonon coupling can help to understand the intriguing efficiency of light emission from metal‐halide perovskites.
Comparing American perceptions of post-Civil War Ku Klux Klan and transnational violence

Recently, public debates have questioned whether or not the American government responds differently to terrorism by white, right-wing, Americans. This article examines a historical period in which similar dynamics were on display in state responses to the Reconstruction-era Ku Klux Klan (KKK), Irish-American Fenians, and anarchists from 1860 to 1920. This history suggests that political officials responded to these groups more on the basis of ideas than their actual levels of violence, including discourses of Americanism shaped by ideology, nativism, and racism. Successful claims to ‘Americanism’ lent the KKK a sense of familiarity that led it to be seen as less of a threat to ontological security, even as it posed a significant threat of physical violence. In contrast, the ideologically subversive and foreign anarchists were responded to more severely, despite being responsible for far fewer deaths and injuries than the KKK. This history suggests that American counter-terrorism has been influenced by factors of racial and national belonging in the past, and provides significant context for the consideration of current debates about responses to right-wing groups.
Dietoterapia w zespole policystycznych jajników ― zalecenia praktyczne

Women with polycystic ovarian syndrome have many hormonal and metabolic disorders, which are closely related to the another. PCOS is the most common endocrinopathy in women at reproductive age. The problem is an effective diagnosis of the disease, which is impeded by the different clinical symptoms. These women have the following symptoms: insulin resistance, obesity, diabetes and lipid disorders, which require an appropriate diet therapy. It is necessary to introduce a low energy diet with controlled fatty acids which is based on the products with a low glycemic index and regular physical activity. This procedure facilitates the pharmacological treatment and contributes to significant improvement in health and well-being of patients.
ANALISIS DETERMINAN OBLIGASI KORPORASI

This study aims to analyze the effect of interest rates, exchange rates, bond ratings, and DER on yield to maturity of corporate bonds in the Indonesia Stock Exchange for the period 2011-2014. The analysis technique used panel data analysis. The results of the study show that interest rates (X1) had a positive effect and statistically significant on yield to maturity. The exchange rate (X2) and bond rating (X3) had a negative effect and significant, while DER (X4) had a positive sign and significant. The important finding was the negative relationship of the exchange rate (X2) to yield to maturity. The negative relationship of the exchange rate occurred because investors perceived that holding rupiah (Rp) currency considered safer than other currencies; hence the rupiah exchange rate against the USD was considered relatively stable. This result was contrary to the basic theory formulated in the hypothesis.Keywords: interest rate, exchange rate, bond rating, DER, panel dataAbstrak: Penelitian ini bertujuan menganalisis pengaruh tingkat suku bunga, nilai tukar, peringkat obligasi dan DER terhadap yield to maturity obligasi korporasi di Bursa Efek Indonesia periode tahun 2011-2014. Teknik analisis yang digunakan yaitu panel data analysis.Hasil penelitian menunjukkan tingkat suku bunga(X1) berpengaruh positif dan signifikan secara secara statistik terhadap yield to maturity. Nilai tukar (X2) dan peringkat obligasi(X3) berpengaruh negatif dan signifikan, sementara DER(X4) berpengaruh positif dan signifikan.Temuan menarik dari penelitian ini yaitu hubungan negatif nilai tukar(X2) terhadap yield to maturity. Hubungan nehatif dari nilai tukar terjadi karena investor memandang memegang rupiah (Rp) dipandang lebih aman daripada mata uang lain sehingga nilai tukar rupiah terhadap USD dianggap masih relatif kuat. Hasil ini berlawanan dengan teori dasar yang diformulasikan dalam hipotesis.Kata kunci: tingkat suku bunga, nilai tukar, peringkat obligasi, DER, panel data
Lexical Syntactic Patterns and Novel Statistical Measures based Bootstrapping Approach for Evolution of Biomedical Ontologies

Knowledge extraction and information processing from the proliferating biomedical data is a primary challenge to the researchers in this field. This is tackled by a semantic knowledge representation model with controlled vocabulary termed as ontology. However, the exponential growth of biomedical data makes the ontology outdated soon and hence its evolution process becomes an inevitable one. Even though numerous ontology evolution systems attempted to evolve the ontology automatically in numerous ways, identifying concepts of ontology that need to be evolved and discovery of new components of the concepts such as its related new concepts and relations is not handled automatically. Therefore, the aim of this work is to automatically identify the concepts which need to be evolved and discover the new components for those concepts using the web pages and MEDLINE database. Particularly, a new concept selection measure: CE (Concept to be Evolved) is designed to select the concepts with high possibility to be evolved based on the number of neighbour and depth of it. Next, a lexical syntactic pattern based bootstrapping approach with new statistical scoring measures such as HH-CS (Hyponym HypernymConcept Scoring), DR-CS CS (Domain Range-Concept Scoring) and RS (Relation Scoring) is proposed to discover new candidate components from web pages using the set of patterns and precisely select the correct candidate components from the MEDLINE database using the scoring measures. The experimental results on the biomedical ontologies in terms of precision, recall, F-measure and ontology quality metrics prove the effectiveness of the proposed CE measure and bootstrapping approach with new statistical measures in precisely identifying concepts to be evolved and discovering new components.
Exponential Regulation Control of a Quadrotor Unmanned Aerial Vehicle With a Suspended Payload

This brief focuses on the control design for the aerial cargo transportation system that consists of a quadrotor unmanned aerial vehicle (UAV) and a cable-suspended payload. The underactuated properties associated with the system dynamics bring great challenges for the control development. Partial feedback linearization methodology is employed to formulate a nonlinear controller that yields an exponential regulation result of the quadrotor UAV position, while the swing motion of the payload is suppressed exponentially fast. A Lyapunov-based stability analysis is included to prove the convergence of the position error and the local exponential stability of the closed-loop system. Real-time experiments are performed on a self-built UAV testbed to validate the performance of the proposed control strategy.
Design and Optimization of Pyroelectric-Polymer Composites for Infrared Sensing and Energy Harvesting

In this paper, efforts have been made to investigate, and compute general formulae of the pyroelectric coefficient and figure-of-merit of pyroelectric-polymer composite for uncooled infrared detector and energy harvesting, using volume fraction, depolarization coefficient of particles and dielectric constants of the constituents.
Effect of Delays on the Response of Microalgae When Exposed to Dynamic Environmental Conditions

During mathematical representation of microbial cultures, it is normally assumed that changes in the environment produce instantaneous effects on growth. However, reports are available indicating that sometimes this may not be the case. This work studied the existence of delays on the response of a population of microalgae when subjected to changes in energy and carbon sources, and when exposed to a growth inhibitor. Results show that no appreciable delays exist when microalgae undergo changes in the incident light intensity. For changes in carbon source concentration (inorganic carbon), a small delay in the range of minutes was detected. Finally, when exposing microalgae to inhibitory concentrations of ammonia, a significant delay of several hours was observed.
The Impact of Local Taxes and Public Services on Property Values

Attempts to measure the capitalization of local taxes into property prices, starting with Oates (1969), have suffered from a lack of local public service controls. We revisit this vast literature with a novel dataset of 947 time-varying local characteristic and public service controls for all municipalities in Sweden over the 2010-2016 period. To make use of the high dimensional vector of controls, as well as time and geographic fixed effects, we employ a novel empirical approach that modifies the recently-introduced debiased machine learning estimator by coupling it with a deep-wide neural network. We find that existing estimates of tax capitalization in the literature, including quasi-experimental work, may understate the impact of taxes on house prices by as much as 50%. We also exploit the unique features of our dataset to test core assumptions of the Tiebout hypothesis and to estimate the impact of public services, education, and crime on house prices. (Less)
Financial Assets Return Volatility Modeling with Using Dynamics of Describing the Mechanism for Transforming the Return Volatility

— The author suggests approaches to modeling volatility of returns of financial assets, different from the existing higher level of accuracy when out-of-sample prediction (with the formal proof on the basis of procedure - the Model Confidence Set) by taking into account the dynamics of diversification of market potential, able to describe the transformation mechanism of clustering of volatility of returns on micro-level clustering of volatility of returns on the macro level, the example of the Russian financial market. Comparison of different approaches to modeling diveraification potential based on the model families MEWMA, OGARCH, DCC and realized covariation it was found that the best quality of forecasting volatility of financial assets yield in most cases is provided by using the DCC model to calculate the index of diversification potential. This is true for stocks, stock indices and random financial portfolios. It is better to calculate diversification potential based on the OGARCH model to predict the volatility of the profitability of Markovitz-efficient financial portfolios. The results obtained can be used by private investors and financial institutions to predict the volatility of financial asset returns. Financial regulators can use the diversification potential index as an indicator of macroeconomic risks in general.
Phytoplankton diversity and Stoichiometric nutrient limitation in the Lagos Harbour and adjacent sea, Southwestern Nigeria

Harbours and their adjacent seas are increasingly stressed by maritime activities and development of coastal cities worldwide. This is especially true for the Lagos Harbour. The aim of this study was to investigate the trophic status, nutrient stoichiometry and phytoplankton assemblage of Lagos Harbour and the adjacent sea. Water and plankton samples were collected for a period of eighteen months from January 2015 to June 2016 between 06.00 and 11.00 hrs each time. Phytoplankton samples were investigated using a Leica DMLB microscope with 100x full oil immersion optics and 1.35 numerical aperture equipped with a Nikon Coolpix 995 CCD digital camera of 3.3 megapixel resolution. Relevant statistical tests such as Principal Components Analysis (PCA) were employed to determine major controlling water quality indices and Canonical Correspondence Analysis (CCA) for determination of the water quality indices that influenced the monthly and spatial phytoplankton occurrences. A total of 108 phytoplankton taxa belonging to five classes were recorded in this study. Bacillariophyceae comprised eighty-four (84) taxa (78%), Chlorophyceae had two (2) taxa (2%), Cyanophyceae were represented by 11 taxa (10%), Dictyochophyceae had one (1) taxon (1%) and Dinophyceae had 10 taxa (9%). CCA revealed a clear seasonal pattern; it also showed that phosphate was the major controlling factor in the Lower Lagos Harbour and the creeks in the months of July, August and September 2015. Trophic state index (TSI) using Carlson's indices revealed eutrophic to hypereutrophic conditions. The comparison of ambient nutrient ratios with Redfield ratio (N:P = 16:1) revealed clear spatial and temporal variations in the Lagos Harbour and adjacent sea. The significant difference shown by phosphate in the wet season could be linked to allochthonous and autochthonous inputs from rainfall. Keywords: Harbour, Microscopy, Nutrient stoichiometry, Phytoplankton
Using Warshall to Solve the Density-linked Density Clustering Algorithm

Clustering algorithm has a wide range of applications in data mining, pattern recognition and machine learning. It is an important part of data mining technology. The emergence of massive data makes the application of data mining technology endless. Cluster analysis is the basic operation of big data processing. The clustering algorithm is to divide similar elements into one class, and to divide elements with large differences into different classes. Aiming at the computational complexity of the density clustering algorithm, this paper proposes an improved algorithm W-DBSCAN which uses Warshall algorithm to reduce its complexity. In the density clustering algorithm, the data with high similarity are densely connected. In this paper, aiming at the complexity of the density clustering algorithm, an improved algorithm W-DBSCAN using the Warshall algorithm to mitigate its complexity is proposed. In the density clustering algorithm, the data with high similarity is density-connected. This paper constructs a matrix n×n where the element (x, y) is marked as 1 means that the data x and data y are directly reachable, and then the reachability matrix of the matrix is calculated using the Warshall algorithm. The solution density connection problem is transformed into the solution reachability matrix problem, thus reducing the complexity of the algorithm.
A study of morbidity pattern among elderly population in urban India

Abstract Background: The people in urban area were suffering from different type of morbidities like chronic lung disease, depression, angina, diabetes, etc. Therefore, this study was designed to explore the age pattern of morbidities, level of substance use among elderly, and relationship between substances used and selected morbidities among elderly in urban India. Material and Methods: The information on morbidity was obtained from Study on Global Ageing and Adult Health (SAGE) - 2007. The methods bivariate and multivariate were used for analyzing the data. Results and Discussion: The hypertension, depression, diabetes and disease-related to oral health were highly prevalent in the age group of 50-59 years, while cataracts, asthma, and stroke were more frequent in 60-69 years. In urban India, around every second people in the age group of 50-59 years were smokers whereas people were more alcoholic in 60-69 years. In urban India, Assam was the state where the prevalence of smoking was highest while alcohol consumption was highest in the state of Rajasthan and lowest was in Assam. Moreover, among the elderly people; the third most powerful killer disease (diabetes) was highest in the age the group of 50-59 years. Age, tobacco consumption and improvements in wealth quintile were significant risk factors associated with the presence of morbidities like diabetes, hypertension, and stroke. Asthma and oral health were significant increases along with age. Conclusion: Study confirm that, for reducing these non communicable diseases, there is need to improve old age policy to make proper intension towards the health facility especially among the elderly of middle and higher economic households.
SEGURANÇA DO AMBIENTE USANDO DISPOSITIVO IOT COM PROCESSAMENTO DISTRIBUÍDO

Nos últimos tempos, o conceito de reconhecimento facial ganhou grande popularidade. Graças à evolução da Internet das coisas (IoT), as ideias para monitorar com smartphones e outros dispositivos agora parecem possíveis. Problemas como o reconhecimento facial para entrada em ambientes estão sendo abordados pela IoT. Neste artigo, apresentamos um sistema integrado de dispositivos inteligentes Fog baseado em IoT. A solução proposta de uma implantação no local de um módulo de IoT que é usado para monitorar e anunciar a pessoa que entrou em uma sala, por exemplo. E o aplicativo bot também é fornecido, permitindo que o usuário final verifique os rostos de acordo. Esse artigo também descreve uma visão de alto nível da arquitetura do sistema. No final, é discutido o funcionamento do sistema na forma de um caso de uso que comprova a correção do modelo proposto.
Железодефицитная анемия у детей и подростков // Iron deficiency anemia in children and adolescents

The article presents data on incidence, etiology, pathogenesis and clinical presentation of iron deficiency anemia (IDA), principles of its diagnostics and treatment in children and adolescents. Author gives a description of iron drugs for oral and parenteral treatment that are frequently used in Russia, their advantages and shortcomings; principles of the control of their efficacy are described as well. Different types of prophylaxis are described: on population level (fortification), in the risk groups of IDA (supplementation), primary and secondary prophylaxis. The recommendation of American Academy of Pediatrics on prophylaxis of IDA in the most vulnerable group — infants and young children — is presented.Key words: children, adolescents, iron deficiency anemia, diagnostics, treatment, iron drugs, prophylaxis. В статье представлены данные о заболеваемости, этиологии, патогенезе и клинических проявлениях железодефицитной анемии (ЖДА), принципы диагностики и лечения заболевания у детей и подростков. Приводятся наиболее часто используемые в России препараты железа для пероральной терапии, внутримышечного и внутривенного введения, их преимущества и недостатки, а также принципы контроля эффективности лечения. Описываются различные виды профилактики: на популяционном уровне (фортификация), в группах риска развития ЖДА (саплиментация), первичная и вторичная профилактика. Приводятся рекомендации Американской академии педиатрии по профилактике ЖДА у наиболее уязвимой группы населения — детей грудного и раннего возраста. Ключевые слова: дети, подростки, железодефицитная анемия, диагностика, лечение, препараты железа, профилактика.
Run-Time Monitoring and Validation Using Reverse Function (RMVRF) for Hardware Trojans Detection

There has recently been a significant growth in resource-constrained devices (RCDs) that exchange sensitive and private data. Lightweight ciphers are designed to implement confidentiality in RCDs. Hardware implementation of lightweight cipher should minimize resources, including area, power, and energy. Hardware Trojans (HTs) are malicious circuits that are inserted into designs, including lightweight ciphers, to modify cipher behavior and leak sensitive data. Although runtime monitoring is a very effective method to implement design-for-trust and detect hardware trojans, it requires significant resources and degrades performance. The main motivation of this research is to design RCD-friendly runtime monitoring and create a trusted design with minimal resource overhead. This article develops a low-power, low-energy and trusted design based on a smart runtime monitoring algorithm targeted for lightweight ciphers in RCDs, implemented in the FPGA platform. The algorithm is adaptive, minimizes resource, and maximizes confidence and HT detection. The novelties of the algorithm are its adaptive activation of checking and its validation. Checking is triggered when a predefined critical node is active, which limits power/energy overhead. Our proposed algorithm has adaptive positive aging because it forgoes validation when a critical node has been already proven safe. To optimize trust, the validation uses a reverse-function design. The implementation results show that proposed algorithm reduces area, power and energy, when compared with existing algorithms. The proposed algorithm achieves 37%–55% reduction in energy and power, and has an average of 53% improvement in LE×energy metric. Furthermore, our proposed algorithm reduces the area by 25% when both encryption and decryptions are implemented.