Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of data fusion techniques for multi-microphone audio event detection in adverse environments

Acoustic event detection (AED) is currently a very active research area with multiple applications in the development of smart acoustic spaces. In this context, the advances brought by Internet of Things (IoT) platforms where multiple distributed microphones are available have also contributed to this interest. In such scenarios, the use of data fusion techniques merging information from several sensors becomes an important aspect in the design of multi-microphone AED systems. In this paper, we present a preliminary analysis of several data-fusion techniques aimed at improving the recognition accuracy of an AED system by taking advantage of the diversity provided by multiple microphones in adverse acoustic conditions. The results confirm that, under appropriate processing schemes, the recognition rate can be increased as well as the corresponding independence on event location.
Gene functional annotation via matrix completion

We present a matrix completion based multi-label learning model to handle the Gene functional annotation problem in this article. We consider the labels of Gene expression data as missing values of a construction matrix composed of expression data and label matrices. By assuming that the construction matrix as low rank and manifold structure, we can recover all the missing labels with minimization of its rank under constraints of data observed. The theories behind the low rank and manifold assumptions are the data correlation and similar data points sharing similar labels. Besides, the constructed matrix contains heterogeneous entries (continuous Gene expression data and binary labels), which existing works failed to model. To seal the gap between labels and expression data during prediction, we regularize our model with the maximum likelihood of unknown labels. A modified fixed-point continuation method is proposed to optimize the resulting nuclear norm minimization problem. The promising results of the proposed method on functional label predicting of Yeast gene microarray data have been shown in experiments.
Effects of dietary oil sources on egg quality, fatty acid composition of eggs and blood lipids in laying quail

This study was performed to investigate the effects of different oils in the diets of laying quail on their performance, egg quality, serum lipids and fatty acid composition of egg yolk. One hundred and ninety two 12-wk old Japanese quail were allocated to eight groups with two replicates containing 12 quail each. They were fed for 10 weeks on diets containing 4% oil from different sources, viz. either sunflower, sesame, cottonseed, olive, hazelnut, maize, soyabean or fish oil. The dietary oils affected egg weight and its specific gravity, the egg yolk index and the Haugh unit but had no effect on live weight of the birds, eggshell thickness and albumen index. The highest egg weights were recorded in the groups fed olive and sunflower oil. Eggs from the soyabean oil group had the highest specific gravity. Serum triglyceride concentrations were lower in the birds receiving diets containing sunflower and hazelnut oil than in the other treatments. Serum total cholesterol levels were higher in the groups fed hazelnut and cottonseed oil than in those receiving the other oils. Serum low density lipoprotein (LDL) levels were lower in the groups fed soyabean and olive oil than the other oil sources. The results of this study demonstrated that olive oil improved egg weight and egg shell quality compared to the other oils tested; fish and soyabean oil increased the omega-3 fatty acid level of egg yolk, and soyabean oil had positive effects on serum lipid concentrations. Incorporation of these oils into the diets of Japanese quail may have practical value in manipulating egg yolk quality. Keywords : Blood lipids, egg, fatty acid, oils, performance, Japanese quail South African Journal of Animal Science Vol. 38 (2) 2008: pp. 91-100
Using Social Network Analysis and Hierarchical Clustering to Identify Groups in Wikis

Este artigo explora duas técnicas, agrupamento hierárquico de documentos e análise de grafos, para a detecção de grupos em Wikis. Ambas as abordagens exploradas neste trabalho fazem uso das informações sobre o histórico de criação e alteração de páginas em um Wiki. Para a validação da proposta foi implementado um software que: acessa o conteúdo produzido em Wikis; gera os grafos e os agrupamentos hierárquicos de acordo com a solicitação dos usuários, e; mostra os resultados encontrados em uma interface gráfica. Os resultados encontrados mostram que este tipo de análise pode ser utilizada para a identificação de pessoas e grupos com interesses e habilidades similares.
Determining the Semantic Orientation of Opinions on Products - a Comparative Analysis

The high volume of user feedback on products under the form of reviews and forum or blog posts is helpful both to prospective buyers, as well as to producer companies. However, automatically determining the semantic orientation of the opinions expressed on different products and their features is a complex problem, requiring a series of steps: identifying the product features, extracting the opinion words present in a text and finally classifying them as positive or negative. This article concentrates on three approaches to solving the latter problem. One method employed determines polarity of the opinions expressed on the product features using on the one hand the sentiment bearing words in WordNet Affect (Strapparava and Valitutti, 2004). Two other methods explored involved determining the polarity of opinion holders (feature attributes) using Support Vector Machines Sequential Minimal Optimization (Platt, 1998) machine learning with the Normalized Google Distance (Cilibrasi and Vitanyi, 2006) and, respectively, with Latent Semantic Analysis (Deerwester et al., 1990) on a specialized versus a non-specialized corpus of user reviews. We comparatively analyze the methods, show the advantages and disadvantages resulted from using each of them and the results obtained by performing an evaluation on our opinion mining and summarization system.
An improved approximation scheme for the Group Steiner Problem

We address a practical problem which arises in several areas, including network design and VLSI circuit layout. Given an undirected weighted graph G = (V, E) and a family N = {N 1 , . , N k } of k disjoint groups of nodes N i ⊆ V, the Group Steiner Problem asks for a minimumcost tree which contains at least one node from each group N i- In this paper, we give polynomial-time O(k e )-approximation algorithms for any fixed e > 0. This result improves the previously known O(k)-approximation. We also apply our approximation algorithms to the Steiner problem in directed graphs, while guaranteeing the same performance ratio.
The determinants of trichiasis recurrence differ at one and two years following lid surgery in Vietnam: A community-based intervention study

Aim To compare determinants for recurrence of trichiasis at one and two years following lid surgery in Vietnam. Study Design Community-based intervention study. Methods This study was carried out between 2000 and 2003 in four trachoma-endemic districts of Vietnam. Trained trichiasis surgeons performed modified Cuenod Nataf lid surgery on 648 eyes of 472 patients with Trachomatous trichiasis (TT). Trained investigators collected information on ocular and lid status before surgery and at one and two years following surgery. Trichiasis recurrence was calculated after adjusting for one or both eyes of each operated individual. Results Fifty-six eyes developed recurrence at one year with adjusted prevalence of 8.8% (95% CI 6.60-11.01). One hundred and one eyes [15.9% (95% CI 13.04-18.72)] had recurrence two years following surgery. Female gender, older age group, study area, severe grade of trachomatous scarring (TS), past history of lid surgery, postoperative suture adjustment and surgeon were risk factors for recurrence at the end of one year. Study area and previous lid surgery were risk factors for recurrence in the second year. Recurrence at one year could be predicted if study area and severity of Trachomatous Scarring (TS) are known. Conclusions One and two year recurrence rates with modified Cuenod Nataf lid surgeries for TT in Vietnam were acceptably low. Early recurrence could be reduced by proper case selection. However, late recurrence seems to be dependent on interaction of risk factors. Only age of the patient was the reliable predictor of recurrence.
Phrase-Based Heuristic Sentiment Analyzer for the Telugu Language

This study aimed to investigate linguistics-based approach on sentiment analysis in Telugu language. Sentiment analysis is the process of classifying sentences as positive, negative, or neutral. One of the uses of this technology is to find the perceptions towards organizations and their services through their feedback in text format. With rapid growth of social media discussions on social networks, lots of data in the Telugu language is available. The new sentiment analyzer models are based on previous models made for the English language. These translate sentences with help of translation APIs into English and analyze the sentiments. One can observe compounding errors by faulty machine translation. Modern translators are inefficient are unreliable. This model is specially designed for Telugu language with newly identified rules. This model has been successfully tested for the Telugu language. The corpus for this study was gathered by using BootCa we have manually tagged root words with their polarity. We have identified and generated some important rules for identifying the sentiment in the sentence. These rules have been explained and discussed at length along with examples.
RIAM Activates Integrins by Linking Talin to Ras GTPase Membrane-targeting Sequences*

Rap1 small GTPases interact with Rap1-GTP-interacting adaptor molecule (RIAM), a member of the MRL (Mig-10/RIAM/Lamellipodin) protein family, to promote talin-dependent integrin activation. Here, we show that MRL proteins function as scaffolds that connect the membrane targeting sequences in Ras GTPases to talin, thereby recruiting talin to the plasma membrane and activating integrins. The MRL proteins bound directly to talin via short, N-terminal sequences predicted to form amphipathic helices. RIAM-induced integrin activation required both its capacity to bind to Rap1 and to talin. Moreover, we constructed a minimized 50-residue Rap-RIAM module containing the talin binding site of RIAM joined to the membrane-targeting sequence of Rap1A. This minimized Rap-RIAM module was sufficient to target talin to the plasma membrane and to mediate integrin activation, even in the absence of Rap1 activity. We identified a short talin binding sequence in Lamellipodin (Lpd), another MRL protein; talin binding Lpd sequence joined to a Rap1 membrane-targeting sequence is sufficient to recruit talin and activate integrins. These data establish the mechanism whereby MRL proteins interact with both talin and Ras GTPases to activate integrins.
A new design method of fractional order PIλDμ controller

is Traditional integral order PID control is the method,which is used most widely in the industrial process control. Fractional order PI<sup>λ</sup>D<sup>μ</sup> control is the promotion and development of traditional PID control. The fractional calculus theory and basic concept of fractional order PI<sup>λ</sup>D<sup>μ</sup> control are introduced in this article, and a new parameters installation method of fractional order PI<sup>λ</sup>D<sup>μ</sup> controller is brought forward. This method resolves mainly the design problem of fractional order PI<sup>λ</sup>D<sup>μ</sup> controller. Thus the control model of fractional order PI<sup>λ</sup>D<sup>μ</sup> controller is obtained. The second-order industry object is taken as the example. The simulation research of fractional order PI<sup>λ</sup>D<sup>μ</sup> controller and that of integral order PID control are done separately. The simulation result indicates that the improved fractional order PI<sup>λ</sup>D<sup>μ</sup> controller could improve the quality of second-order object, and has better control effect.
Strengthening of Top-Down Frontal Cognitive Control Networks Underlying the Development of Inhibitory Control: A Functional Magnetic Resonance Imaging Effective Connectivity Study

The ability to voluntarily inhibit responses to task-irrelevant stimuli, which is a fundamental component of cognitive control, has a protracted development through adolescence. Previous human developmental imaging studies have found immaturities in localized brain activity in children and adolescents. However, little is known about how these regions integrate with age to form the distributed networks known to support cognitive control. In the present study, we used Granger causality analysis to characterize developmental changes in effective connectivity underlying inhibitory control (antisaccade task) compared with reflexive responses (prosaccade task) in human participants. By childhood, few top-down connectivities were evident with increased parietal interconnectivity. By adolescence, connections from prefrontal cortex increased and parietal interconnectivity decreased. From adolescence to adulthood, there was evidence of increased number and strength of frontal connections to cortical regions as well as subcortical regions. Together, results suggest that developmental improvements in inhibitory control may be supported by age-related enhancements in top-down effective connectivity between frontal, oculomotor, and subcortical regions.
Valuing the environmental benefits of canals using house prices

The canal and waterway network in Britain provides a potentially valuable recreational and environmental amenity. In this paper, we estimate the value of this amenity based on how much households are willing to pay through housing to live close to the canal network, a well-establishedand theoretically grounded method in the urban and environmental economics literature. To deal with potential omitted confounding factors in our house price regressions we adopt two strategies. First we conduct a cross-sectional analysis, but control for local area fixed effects so we estimate from marginal differences in distance from homes to canals within small geographical neighbourhoods. Secondly, we apply a difference in difference method to analyse the effect of the restoration of the Droitwich canals in the later 2000s. Both methods yield similar conclusions. There is a price premium for living close to a canal, but this is very localised – around 3.4% in 2016 within 100m and zero beyond that. The implication is that the effect is driven predominantly by canal-side properties and others with a direct outlook on the canals or immediate access. The premium fell substantially from the pre-recession to post recession periods. We also find evidence that canal-side locations are attractive for developers, with a much higher proportion of new-build sales within 100m of canals relative to elsewhere - a 5.9% increase on a 7.8% baseline. Some back of the envelope calculations indicate the land value uplift from the canal network was around £0.8-£0.9 billion in 2016.
A new compact folded patch GPS antenna using meander line

A novel miniature folded square patch antenna is proposed and developed for the Global Positioning System (GPS). By folding four different lengths of meander strips connected to the four edges of the square patch, the single coaxial-feed square patch antenna is a circularly polarized antenna. Proper positioning of the coaxial-feed on the square patch excites two orthogonal resonant modes with 900 phase difference, and the pure circular polarization is achieved. The prototype had been designed, fabricated and found to have an impedance bandwidth of 2.1% and a 3-dB axial-ratio (AR) bandwidth of about 0.76% at GPS frequency of 1575 MHz.
Structural Determinants of Ca 2 Transport in the Arabidopsis H / Ca 2 Antiporter CAX 1 *

Ca levels in plants, fungi, and bacteria are controlled in part by H /Ca exchangers; however, the relationship between primary sequence and biological activity of these transporters has not been reported. The Arabidopsis H /cation exchangers, CAX1 and CAX2, were identified by their ability to suppress yeast mutants defective in vacuolar Ca transport. CAX1 has a much higher capacity for Ca transport than CAX2. An Arabidopsis thaliana homolog of CAX1, CAX3, is 77% identical (93% similar) and, when expressed in yeast, localized to the vacuole but did not suppress yeast mutants defective in vacuolar Ca transport. Chimeric constructs and site-directed mutagenesis showed that CAX3 could suppress yeast vacuolar Ca transport mutants if a nine-amino acid region of CAX1 was inserted into CAX3 (CAX3-9). Biochemical analysis in yeast showed CAX3-9 had 36% of the H /Ca exchange activity as compared with CAX1; however, CAX3-9 and CAX1 appear to differ in their transport of other ions. Exchanging the nine-amino acid region of CAX1 into CAX2 doubled yeast vacuolar Ca transport but did not appear to alter the transport of other ions. This nine-amino acid region is highly variable among the plant CAX-like transporters. These findings suggest that this region is involved in CAX-mediated Ca specificity.
Conformational snapshots of Tec kinases during signaling

Summary: The control of cellular signaling cascades is of utmost importance in regulating the immune response. Exquisitely precise protein–protein interactions and chemical modification of substrates by enzymatic catalysis are the fundamental components of the signals that alert immune cells to the presence of a foreign antigen. In particular, the phosphorylation events induced by protein kinase activity must be spatially and temporally regulated by specific interactions to maintain a normal and effective immune response. High resolution structures of many protein kinases along with supporting biochemical data are providing significant insight into the intricate regulatory mechanisms responsible for controlling cellular signaling. The Tec family kinases are immunologically important kinases for which regulatory details are beginning to emerge. This review focuses on bringing together structural insights gained over the years to develop an understanding of how domain interactions both within the Tec kinases and between the Tec kinases and other signaling molecules control immune cell function.
Reaching Long-Term Goals Based on Local Interaction between an Organism and the Environment: Computer Simulations Based on Adaptive Behavior

An agent-based computer simulation created using the adaptive-behavior approach has shown that in some cases it is possible to reach a long-term goal (defined here as a desirable place far removed from the agent in time and in space) without necessarily having an exhaustive, predefined plan of action, but rather by using a set of rules on sensorimotor couplings that govern the organism's local interaction with its environment. We used an agent-based simulation program that emulated a two-dimensional microworld in which agents interacted with their environment and other agents through a set of sensorimotor couplings to reach a long-term goal. The main hypothesis was that the sensorimotor coupling, which consisted of following other agents, led to the emergence of collective behavior that enabled the agents to attain the long-term goal. We systematically varied the sensorimotor couplings that allowed agents to follow other agents, agents' perceptual field length, and the number of obstacles. In total, there were 160 independent simulations for each design cell. Analysis supported the hypothesis and suggested that, in addition to the process of reaching long-term goals, other cognitive processes, such as categorization, memory, and reasoning, can be reconsidered bearing in mind the emergence of behavior and an approach based on interaction between the organism and its environment.
Diagnostic Process and Rheumatic Diseases

The diagnostic process can be described as a continuous interaction between doctor and layman, whether neither computers nor tests represent final solutions. In this process, exchange and comparison of disease concepts and their components take place. The situation is analysed from the viewpoints of clinical work and epidemiology in the case of the rheumatic diseases, especially rheumatoid arthritis. The layman's part in the diagnostic process is considerable, both in terms of quantity and quality. It is concluded that our knowledge is strikingly limited and that future study should be devoted to doctor and patient as a unit when they together create diagnosis. Furthermore, international comparability of results and measurement of health levels require an expansion of our knowlege of the diagnostic process.
Persuasive Features in Web-Based Alcohol and Smoking Interventions: A Systematic Review of the Literature

Background In the past decade, the use of technologies to persuade, motivate, and activate individuals’ health behavior change has been a quickly expanding field of research. The use of the Web for delivering interventions has been especially relevant. Current research tends to reveal little about the persuasive features and mechanisms embedded in Web-based interventions targeting health behavior change. Objectives The purpose of this systematic review was to extract and analyze persuasive system features in Web-based interventions for substance use by applying the persuasive systems design (PSD) model. In more detail, the main objective was to provide an overview of the persuasive features within current Web-based interventions for substance use. Methods We conducted electronic literature searches in various databases to identify randomized controlled trials of Web-based interventions for substance use published January 1, 2004, through December 31, 2009, in English. We extracted and analyzed persuasive system features of the included Web-based interventions using interpretive categorization. Results The primary task support components were utilized and reported relatively widely in the reviewed studies. Reduction, self-monitoring, simulation, and personalization seem to be the most used features to support accomplishing user’s primary task. This is an encouraging finding since reduction and self-monitoring can be considered key elements for supporting users to carry out their primary tasks. The utilization of tailoring was at a surprisingly low level. The lack of tailoring may imply that the interventions are targeted for too broad an audience. Leveraging reminders was the most common way to enhance the user-system dialogue. Credibility issues are crucial in website engagement as users will bind with sites they perceive credible and navigate away from those they do not find credible. Based on the textual descriptions of the interventions, we cautiously suggest that most of them were credible. The prevalence of social support in the reviewed interventions was encouraging. Conclusions Understanding the persuasive elements of systems supporting behavior change is important. This may help users to engage and keep motivated in their endeavors. Further research is needed to increase our understanding of how and under what conditions specific persuasive features (either in isolation or collectively) lead to positive health outcomes in Web-based health behavior change interventions across diverse health contexts and populations.
cis-Diammine(glycolato-κ2 O 1,O 2)platinum(II)

The reaction of cis-[Pt(NO3)2(NH3)2] and sodium glycolate yielded the title compound, [Pt(C2H2O3)(NH3)2]. The PtII atom, coordinated by two N atoms of ammine and two O atoms of the carboxylate and oxido groups of the glycolate ligand, is in a square-planar environment. In the crystal structure, molecules are connected by intermolecular N—H⋯O hydrogen bonds, forming a three-dimensional network.