Miracle-dz/UniFAR-FTUs huggingface dataset:
Compressed Domain Speech Enhancement Based on Gaussian Mixture Model

A Gaussian Mixture Model(GMM) based speech enhancement method in compressed domain used for ITU-T G.722. 2 wideband speech codec is proposed to take full advantage of the prior knowledge of the Immittance Spectral Frequencies(ISFs) for the clean speech.Firstly,GMM is adopted to model the joint probability density of feature vectors which are composed by the ISFs of noisy speech and clean speech with the corresponding gain scaling factor.Secondly,an optimal Bayesian estimation of feature parameters derived from clean speech is obtained under the minimum mean square error(MMSE) criterion.To be compatible with the DTX(Discontinuous Transmission) mode,the logarithmic energy is attenuated and the ISFs remain when a SID(Silence Insertion Descriptor) frame is received.Furthermore,if ao erased frame is received,the bit stream is unchanged and the proposed method is performed on the recovered parameters for the memory update.The evaluation is conducted under the ITU-T G.160. The results indicate that,comparing with the reference method,the proposed method can produce larger amount of noise level reduction with better objective speech quality,while the SNR improvement remains acceptable.
A systems genomics approach to uncover patient-specific pathogenic pathways and proteins in a complex disease

We describe a novel precision medicine workflow, the integrated single nucleotide polymorphism network platform (iSNP), designed to identify the exact mechanisms of how SNPs affect cellular regulatory networks, and how SNP co-occurrences contribute to disease pathogenesis in ulcerative colitis (UC). Using SNP profiles of 377 UC patients, we mapped the regulatory effects of the SNPs to a human signalling network containing protein-protein, miRNA-mRNA and transcription factor binding interactions. Unsupervised clustering algorithms grouped these patient-specific networks into four distinct clusters based on two large disease hubs, NFKB1 and PKCB. Pathway analysis identified the epigenetic modification as common and the T-cell specific responses as differing signalling pathways in the clusters. By integrating individual transcriptomes in active and quiescent disease setting to the patient networks, we validated the impact of non-coding SNPs. The iSNP approach identified regulatory effects of disease-associated non-coding SNPs, and identified how pathogenesis pathways are activated via different genetic modifications.
Data pretreatment methods before missile error separating

To obtain high-precision error separation result for missile flight test,the engineering methods were proposed to improve the quality of data pretreatment. Time difference method was applied to identify the lost data,and spline fit method was applied to eliminate the odd items of data. Then the Lagrange algorithm was used to interpolate suitable data in abnormal spots,so the quality of original measured data was improved greatly. Recurrence formula of navigation equation was derived to calculate the displacement and velocity in inertial coordinate system,and coordinate transformation relation was established from launching coordinate system to inertial coordinate system. The method of correlation analysis was introduced to analyze the coherence of telemetry data and tracking data. Furthermore,the data zero alignment factor was estimated. These methods were applied to the telemetry-tracking deviation of a certain missile with satisfactory results.
A Multidimensional Approach to Understand Chemotaxis and Motility in Azospirillum brasilense

The genomes of most motile bacteria encode two or more chemotaxis (Che) systems but their functions have been characterized in a handful of model systems. Azospirillum brasilense are motile soil alphaproteobacteria able to colonize the rhizosphere of cereals. In response to an attractant, motile A. brasilense cells transiently increase swimming speed and suppress reversals in the swimming direction. The Che1 chemotaxis pathway was previously shown to regulate changes in the swimming speed but it has a minor role in chemotaxis and root surface colonization. Here, we show that a second chemotaxis system, named Che4, regulates the probability of reversals in the swimming direction and is the major signaling pathway for chemotaxis and wheat root surface colonization. Experimental evidence indicates that Che1 and Che4 are functionally linked to coordinate changes in the swimming motility pattern in response to attractants. The effect of Che1 on swimming speed is shown to enhance the chemotactic response of A. brasilense in oxygen gradients, likely providing the cells with a competitive advantage in the rhizosphere. Together, the results illustrate a novel mechanism by which motile bacteria utilize two chemotaxis
History sets the stage: Macroevolutionary influence on biotic interactions

Evolutionary history has profound influences on ecological systems. Such influence is generally observed as phylogenetic signal, in which trait similarity is a function of evolutionary relationships, or phylogenetic niche conservatism, in which clades of species exhibit a single trait value. These patterns are observed so often in ecological research that the lack of phylogenetic influence on a system should be viewed as an exception to the rule. This special feature showcases research at the cutting edge of phylogenetic analysis of biotic interactions. Eight papers address three dominant questions: (a) What determines which species associate with each other? (b) How does evolutionary history constrain adaptation in response to interactions? (c) How does evolutionary history influence community, ecosystem, and global ecological processes and patterns? The interactions studied include symbioses such the mycorrhiza and the lichen, plant–soil interactions and herbivory. Synthesis: Phylogenetics presents important perspectives and tools to understand fundamental ecological processes. Among the most in need of research are geographic patterns in interaction strength and commonness, such as the latitudinal gradient in herbivory; the relationship between rapid evolution and evolutionary history, and the interaction of the two onto community and ecosystem processes and patterns; and the influence of evolutionary history on outcome in conservation problems and management.
An Online Tool for Enhancing NLP of a Biomedical Corpus

This work presents an online interface that allows the user to search words and medical terms in the MultiMedica corpus, which gathers 51,476 texts in Spanish, Japanese and Arabic. In order to develop the tool, several natural language processing (NLP) techniques were applied: firstly, a number of corpora were processed and Part-of-Speech-tagged using morphological analysers for each language; then, the tagged texts were indexed to enhance online queries; thirdly, lists of medical terms were collected for each language. The online tool features word query system, a term query system, and a medical term extractor. The word query system makes it possible to look up items according to word form, lemma, category or string. The medical term query system features an autocomplete function to enhance the input of the query, which is based on the 5000 more frequent terms in the corpus. Finally, the term extractor detects candidate medical terms in an input text, and highlights them according to their level of reliability (medium and high). The list of detected terms is downloadable, and those items that are found in the BabelNet dictionary contain a hyperlink to this resource. The interface is freely available and may be useful for linguists, terminologists, translators and other professionals who work in this domain.
Association study between hypothalamic functional connectivity, early nutrition, and glucose levels in healthy children aged 6 years: The COGNIS study follow-up

Breastfeeding (BF) is the gold standard in infant nutrition; knowing how it influences brain connectivity would help understand the mechanisms involved, which would help close the nutritional gap between infant formulas and breast milk. We analyzed potential long-term differences depending on the diet with an experimental infant formula (EF), compared to a standard infant formula (SF) or breastfeeding (BF) during the first 18 months of life on children's hypothalamic functional connectivity (FC) assessed at 6 years old. A total of 62 children participating in the COGNIS randomized clinical trial (Clinical Trial Registration: www.ClinicalTrials.gov, identifier: NCT02094547) were included in this study. They were randomized to receive an SF (n = 22) or a bioactive nutrient-enriched EF (n = 20). BF children were also included as a control study group (BF: n = 20). Brain function was evaluated using functional magnetic resonance imaging (fMRI) and mean glucose levels were collected through a 24-h continuous glucose monitoring (CGM) device at 6 years old. Furthermore, nutrient intake was also analyzed during the first 18 months of life and at 6 years old through 3-day dietary intake records. Groups fed with EF and BF showed lower FC between the medial hypothalamus (MH) and the anterior cingulate cortex (ACC) in comparison with SF-fed children. Moreover, the BF children group showed lower FC between the MH and the left putamen extending to the middle insula, and higher FC between the MH and the inferior frontal gyrus (IFG) compared to the EF-fed children group. These areas are key regions within the salience network, which is involved in processing salience stimuli, eating motivation, and hedonic-driven desire to consume food. Indeed, current higher connectivity found on the MH-IFG network in the BF group was associated with lower simple sugars acceptable macronutrient distribution ranges (AMDRs) at 6 months of age. Regarding linoleic acid intake at 12 months old, a negative association with this network (MH-IFG) only in the BF group was found. In addition, BF children showed lower mean glucose levels compared to SF-fed children at 6 years old. Our results may point out a possible relationship between diet during the first 18 months of life and inclined proclivity for hedonic eating later in life. Clinical trial registration https://www.clinicaltrials. gov/, identifier NCT02094547.
Parasitism by Cuscuta australis affects the rhizhospheric soil bacterial communities of Trifolium repens L.

ABSTRACT The effect of parasitism on belowground microbial communities is not well understood. 16S rRNA gene amplicon sequencing was used to test the effect of Cuscuta australis parasitism on the composition and diversity of bacterial community in the rhizospheric soil of the host plant Trifolium repens. 94569 sequences were obtained from the amplicons of non-parasitised, and 97172 sequences were obtained from the parasitised rhizospheric soil bacterial community. Parasitism of C. australis significantly decreased the relative abundance of the bacterial phylum Nitrospirae, while it significantly increased that of Verrucomicrobia. Parasitism of C. australis significantly decreased the relative abundance of 10 bacterial genera, while it significantly increased those of nine genera. The Chao 1 indexes of the rhizospheric soil bacterial community of parasitised T. repens were significantly lower than those of non-parasitised T. repens. Principal coordinate analysis (based on the genus) and principal component analysis (based on the predicted gene function of bacterial communities) showed that rhizospheric bacterial communities from parasitised and non-parasitised T. repens differed and can be divided into two groups. These results suggest that infection of the holoparasitic plant could indirectly change the composition, diversity, and function of rhizospheric soil bacteria of the host plant.
Chapter XII Predicting Protein Functions from Protein Interaction Networks

Functional characterization of genes and their protein products is essential to biological and clinical research. Yet, there is still no reliable way of assigning functional annotations to proteins in a high-throughput manner. In this chapter, the authors provide an introduction to the task of automated protein function prediction. They discuss about the motivation for automated protein function prediction, the challenges faced in this task, as well as some approaches that are currently available. In particular, they take a closer look at methods that use protein-protein interaction for protein function prediction, elaborating on their underlying techniques and assumptions, as well as their strengths and limitations.
KERAGAMAN VEGETASI TEBING KARST YANG MENJADI HABITAT TARSIUS MAKASSAR (Tarsius fuscus Fischer, 1804) DI TAMAN NASIONAL BANTIMURUNG BULUSARAUNG

Tarsius fuscus merupakan salah satu satwa endemik sebaran terbatas, yang dapat dijumpai di Obyek Wisata Alam (OWA) Pattunuang Assue, Taman Nasional Bantimurung Bulusaraung. Di areal OWA ini, Tarsius fuscus memanfaatkan tebing karst sebagai habitatnya. Penelitian ini bertujuan untuk mengetahui keragaman vegetasi di tebing karst yang menjadi habitat Tarsius fuscus . Areal habitat pada tebing karst ditentukan dengan terlebih dahulu menentukan lokasi sarang Tarsius fuscus . Lokasi sarang ditentukan dengan menggunakan metode pengamatan duet vokalisasi, pengamatan suara yang dikeluarkan saat malam, serta informasi masyarakat. Pengamatan vegetasi dilakukan dengan menggunakan metode garis berpetak yang diletakkan secara vertikal di tebing karst. Analisis data dilakukan untuk mengetahui nilai kerapatan vegetasi, indeks nilai penting, indeks keragaman hayati Shannon-Weiner, indeks dominansi Simpson, indeks kemerataan Pielou, indeks kekayaan jenis Margalef dan indeks kesamaan komunitas Sorensen. Hasil penelitian memperlihatkan bahwa tebing karst tersebut memiliki nilai indeks keragaman jenis yang tergolong sedang, meskipun terdapat spesies yang mendominasi namun indeks dominansi pada areal tersebut tergolong rendah. Selain itu, vegetasi habitat menunjukkan indeks kemerataan jenis yang tergolong sedang dan indeks kekayaan jenis yang tergolong sedang hingga tinggi. Beragamnya kondisi yang dijumpai di tebing karst OWA Pattunuang Assue, masih tetap sesuai bagi Tarsius fuscus dan menunjukkan bahwa vegetasi yang terdapat di tebing karst tersebut dapat menjadi habitat yang baik bagi Tarsius fuscus . Kata kunci : Tarsius fuscus , vegetasi penyusun habitat, tebing karst, Taman Nasional
Critical-path aware processor architectures

Modern processors remove many artificial constraints on instruction ordering, permitting multiple instructions to be executed in parallel. As a result, only a fraction of all the instructions in a program trace determine the execution time of the program. Any effort to improve program performance is wasted when not applied to these critical instructions. Likewise, the remaining non-critical instructions may be delayed, to a point, without affecting performance. Depending on the program and microarchitecture, typically between a few percent and half of all dynamic instructions are critical. We propose and evaluate several hardware techniques to classify whether an instruction is critical or non-critical, and discuss related efforts at the same. We show that the criticality of dynamic instructions is correlated to the corresponding static instruction. We exploit this correlation to predict an instruction's criticality, in hardware, before it executes. We call this critical-path prediction. These predictions can be used anywhere that the processor must arbitrate between instructions for a limited resource. We demonstrate the utility of these predictions in several such applications, which we call critical-path aware optimizations: a processor with a limited-rate value-predictor, a clustered microarchitecture with inter-cluster communication delays, and a reduced-power microarchitecture with heterogeneous functional units and queues. We perform an offline analysis of the critical paths of programs to validate our findings and to quantify the degree of criticality of different instructions. Our findings lead us to propose a new multithreading architecture. Under our proposal, threads execute in parallel in a manner sensitive to the hardware implications of supporting multiple contexts, and also sensitive to the critical path issues. We use execution-driven simulation to evaluate the performance of all the processor designs which we propose.
GROWTH IMPROVEMENT OF TOMATO WITH THE APPLICATION OF BACTERIAL ISOLATES PRODUCING INDOLE ACETIC ACID (IAA) AND PHOSPHATE SOLUBILIZER

Soil bacteria have important roles in biogeochemical cycle for soil fertility and have been manipulated for ecologically-friendly crop production. The search for beneficial association between microbes and plants for promoting growth and health should be studied for tomato growth improvement. The study aimed to evaluate 19 microbial isolates which produced indole acetic acid (IAA) affecting growth and development of tomato (Palupi variety), and molecularly identify the most effective isolates in improving tomato growth based on 16s rDNA sequences. The experiment was conducted in pots using a complete randomized design with three replications. The parameters observed included plant height, plant dry weight, root length, root dry weight, and fruit fresh weight. The isolates that significantly improved tomato growth were molecularly identified using 16s rRNA sequence. The phenotypic properties such as IAA content and phosphate solubilizing index (PI) of the superior isolates were determined. Results showed that the application of bacterial isolates on tomato significantly increased plant dry weight and fruit yield. From 19 isolates tested, Aj 3.7. 1.14 significantly increased plant dry weight, root length, and fruit yield. This isolate produced IAA of about 14.77 ppm and PI of 1.86. Molecular analysis on Aj 3.7. 1.14 demonstrated that the isolate had 89% similarity to Pseudomonas fragi. The identified P. fragi was found to be the most effective isolate for improving tomato growth and fruit yield. Another isolate, Bacillus amyloliquefaciens was found to promote root length, root dry weight, and fruit yield. These isolates are potential to be further investigated for field trials
A Novel Visual Saliency Detection Method Using Motion Segmentation

In this paper, we propose a novel visual saliency detection method using motion segmentation. We group the corner point trajectories using a two stage clustering algorithm. The most stable trajectories are pre-clustered using mean shift in the first stage. Then, we propose an unsupervised clustering method to cluster the trajectories and detect the number of motions automatic. At last, the motion saliency map is generated with the segmented spare feature points. Experimental results show that our proposed method is capable of achieving both good accurate and the stable performance.
A n Efficient Super-resolution Algorithm for IR Thermal Images Based On Sparse Representation

In this paper, an efficient learning strategy to super-resolve the down-sampled IR thermal image is presented. Though the resolution offered by state-of-the-art non-coolant based Focal Path Array (FPA) IR thermal imaging device is significantly high, the images captured by these devices has to be down-scaled for storing and transmitting it over a network. IR thermal images captured by non-coolant based FPA thermal imaging device is down-scaled by a scale factor and is represented as LR image. It is up-scaled by a simple interpolator such as bilinear interpolator to the desired magnification size to form the pseudo-HR image. Image patches are extracted from same location�(,) , from both LR and pseudo-HR image to form the self-example patch-pairs. Image patches which carry HF details are efficiently selected based on a threshold on sample maximum mean square error (SMMSE). Two effective dictionaries (LR and HR) constructed from patch-pairs are trained with state-of-the-art K-SVD algorithm. It is used within the sparse representation framework to reconstruct the up-scaled IR thermal Image. Quantitative and qualitative results claim that the proposed method super-resolve the existing LR images without introducing false HF details.
Speeding and Speed Modification of Older Drivers: Does Vehicle Type Make a Difference?

ABSTRACT The purpose of this study was to examine whether vehicle type based on size (car vs. other = truck/van/SUV) had an impact on the speeding, acceleration, and braking patterns of older male and female drivers (70 years and older) from a Canadian longitudinal study. The primary hypothesis was that older adults driving larger vehicles (e.g., trucks, SUVs, or vans) would be more likely to speed than those driving cars. Participants (n = 493) had a device installed in their vehicles that recorded their everyday driving. The findings suggest that the type of vehicle driven had little or no impact on per cent of time speeding or on the braking and accelerating patterns of older drivers. Given that the propensity for exceeding the speed limit was high among these older drivers, regardless of vehicle type, future research should examine what effect this behaviour has on older-driver road safety.
intrusion of maxillary incisors by mini-implants

page 1-2 INTRODUCTION. page 3-5 SELECTION CRITERIA OF THE STUDIES. SEARCH METHODS AND STRATEGY . Page 6-8 SYSTEMIZATION AND ANALYSIS OF DATA. page 9-11 RESULTS. page 12-19 DISCUSSION. page 20-24 CONCLUSION. page 25 PRACTICAL RECOMMENDATIONS. page 26 REFERENCES. page 27-29 ANNEXES.page 30
Identificação molecular de cepas clínicas e ambientais de Burkholderia pseudomallei, oriundas do estado do Ceará : análise baseada nas regiões 16S e 16S-23S do DNA ribossômico nuclear

A melioidose e uma doenca potencialmente fatal causada pela bacteria Burkholderia pseudomallei, sendo considerada emergente no Brasil desde que os primeiros casos foram reportados em 2003, no Estado do Ceara. Este estudo pretendeu realizar a identificacao molecular de 31 isolados de B. pseudomallei (cinco clinicos e 26 ambientais) mantidos na colecao de culturas do CEMM (Centro Especializado em Micologia Medica), com base nas sequencias 16S e 16S-23S DNAr. O DNA destas amostras foi extraido com o kit Wizard® Genomic DNA Purification (Promega), quantificado por espectrofotometria e armazenado a 4oC. A amplificacao de um fragmento de 302 pb da regiao espacadora 16S-23S DNAr especifico para B. pseudomallei foi realizada por meio de reacao de PCR com os primers Bp1 e Bp4. O sequenciamento das regioes 16S e 16S-23S DNAr foi realizado pelo metodo da terminacao da cadeia pelo didesoxinucleotideo, usando-se o kit DYEnamicTM ET terminators cycle sequencing (GE Healthcare). A arvore filogenetica da regiao 16S DNAr e as matrizes sequencia identidade e contagem de diferencas baseadas na regiao 16S-23S DNAr foram geradas pelo programa MEGA4, versao 4.1. Os resultados confirmaram a identificacao de 15 cepas de B. pseudomallei (cinco clinicas e dez ambientais), o que corresponde a 48.4% dos isolados em estudo. A arvore filogenetica baseada na regiao 16S DNAr demonstra que os isolados clinicos e ambientais de B. pseudomallei do Estado do Ceara sao evolutivamente agrupados com as cepas B. pseudomallei MSHR346 (Australia), B. pseudomallei 1106a (Tailândia), B. pseudomallei K96243 (Tailândia), B. pseudomallei 1710b (Tailândia) e B. pseudomallei 668 (Australia). Com a utilizacao do mesmo kit de extracao tambem foi possivel extrair DNA de B. pseudomallei diretamente de especime clinico (lavado bronquico), confirmando um novo caso de melioidose no Municipio de Ubajara/CE. Em nosso estudo, o uso da PCR para a amplificacao de um fragmento de 302 pb da regiao 16S-23S DNAr identificou corretamente B. pseudomallei, sendo que para confirmar a discriminacao entre B. pseudomallei e B. mallei, o sequenciamento das regioes 16S e 16S-23S DNAr foi realizado. A tecnica de PCR aliada ao sequenciamento das regioes 16S e 16S-23S do DNA ribossomico nuclear resultaram em uma elevada sensibilidade e especificidade de deteccao de B. pseudomallei neste estudo.