Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative Power Of The Independent t, Permutation t, and WilcoxonTests

The nonparametric Wilcoxon Rank Sum (also known as the Mann-Whitney U) and the permutation t-tests are robust with respect to Type I error for departures from population normality, and both are powerful alternatives to the independent samples Student's t-test for detecting shift in location. The question remains regarding their comparative statistical power for small samples, particularly for non-normal distributions. Monte Carlo simulations indicated the rank-based Wilcoxon test was found to be more powerful than both the t and the permutation t-tests.
Intracellular acetylcholine receptors in skeletal muscles of the adult rat

We have examined the localization and numbers of acetylcholine receptors (AChRs) within adult mammalian skeletal muscle using 125I- alpha-bungarotoxin (125I-alpha-BuTx). Intracellular AChRs were exposed to 125I-alpha-BuTx by permeabilizing the muscle membrane with the detergent saponin. Our results show that, in muscles of young adult rats, internal AChRs occur in a number and pattern of distribution similar to that for surface membrane AChRs. Internal AChRs are found only in perijunctional regions of normally innervated muscles, but they appear all along the length of muscle fibers after denervation. A minority of internal AChRs may be newly synthesized AChRs en route to insertion in the surface membrane; however, most internal AChRs appear to be antigentically different from and to behave independently of surface membrane AChRs. With increasing age, internal AChRs decline in number, while surface AChRs remain relatively constant. In older animals, internal AChRs may reappear in muscles that have undergone degeneration and regeneration. We conclude that a significant proportion of AChRs in skeletal muscle may be intracellular. Internal AChRs are a useful marker for young muscle cells. Their distribution may provide information about the intracellular pathways of AChR metabolism.
Creating a sense of 'closure': Providing confidence intervals on some recent estimates of Indigenous populations

The error of closure is the population growth that cannot be accounted for by either natural increase or quantifiable non-demographic factors, and is an issue that is particularly pronounced for indigenous peoples. This paper estimates Australia’s indigenous population using the dual system estimation method, and compares these to those produced using the standard undercount method. The main conclusion is that dual system estimates of the indigenous population appear to be reasonably accurate at the national level, which provide an appreciation of the reliability of existing estimates. Notwithstanding, policy makers need to take into account that population statistics are merely estimates.
An architecture for privacy-enabled user profile portability on the web of data

Providing relevant recommendations requires access to user profile data. Current social networking ecosystems allow third party services to request user authorisation for accessing profile data, thus enabling cross-domain recommendation. However these ecosystems create user lock-in and social networking data silos, as the profile data is neither portable nor interoperable. We argue that innovations in reconciling heterogeneous data sources must be also be matched by innovations in architecture design and recommender methodology. We present and qualitatively evaluate an architecture for privacy-enabled user profile portability, which is based on technologies from the emerging Web of Data (FOAF, WebIDs and the Web Access Control vocabulary). The proposed architecture enables the creation of a universal "private by default" ecosystem with interoperability of user profile data. The privacy of the user is protected by allowing multiple data providers to host their part of the user profile. This provides an incentive for more users to make profile data from different domains available for recommendations.
Identification of Prototheca species from bovine milk samples by PCR-single strand conformation polymorphism

We report the development of a PCR-single strand conformation polymorphism (SSCP) method to identify Prototheca spp. responsible for bovine mastitis: P. zopfii and P. blaschkeae. The method was set up using reference strains belonging to P. zopfii genotype 1, P. zopfii genotype 2, and P. blaschkeae as target species and P. stagnora, and P. ulmea as negative controls. The assay was applied on 50 isolates of Prototheca spp. isolated from bovine mastitic milk or bulk-tank milk samples, and all isolates were identified as P. zopfii genotype 2. We conclude that the described PCR-SSCP approach is accurate, inexpensive, and highly suitable for the identification of P. zopfii genotype 2 on field isolates but also directly on milk, if preceded by a specific DNA extraction method.
Extract with Order for Coherent Multi-Document Summarization

In this work, we aim at developing an extractive summarizer in the multi-document setting. We implement a rank based sentence selection using continuous vector representations along with key-phrases. Furthermore, we propose a model to tackle summary coherence for increasing readability. We conduct experiments on the Document Understanding Conference (DUC) 2004 datasets using ROUGE toolkit. Our experiments demonstrate that the methods bring significant improvements over the state of the art methods in terms of informativity and coherence.
2′,3′‐CYCLIC NADP AS A SUBSTRATE FOR 2′,3′‐CYCLIC NUCLEOTIDE 3′‐PHOSPHOHYDROLASE

Abstract– 2′,3′‐Cyclic NADP has been prepared by cyclization of NADP at pH 6 in the presence of l‐ethyl‐(3‐dimethylaminopropyl)‐carbodiimide. The NADP derivative is readily hydrolyzed to NADP by the enzyme in brain and nerve that hydrolyzes 2′,3′‐cyclic nucleotides to 2′‐phospho esters. The Km for this substrate is the same as that for 2′,3′‐cyclic AMP (0.22 mm) at pH 6 and 25°C. The two substrates are hydrolyzed by the phosphohydrolase at similar maximum velocities. The nicotinamide moiety in cyclic NADP thus has little effect on the enzyme‐substrate interaction. This synthetic substrate can be used in a rapid (2 min) and sensitive (10 ng of 31‐fold purified enzyme) spectrophotometric coupled enzyme assay for 2′,3′‐cyclic nucleotide 3′‐phosphohydrolase; in this assay the hydrolysis proceeds in the presence of glucose‐6‐phosphate dehydrogenase and its substrate and the NADPH formed is measured by the increase in absorbance at 340 nm. The assay is applicable to tissue extracts as well as to purified preparations of the enzyme. There is no interference from nucleases of the pancreatic RNase A type.
Contour following control of two-axis servomechanism using CMAC and ILC

In addition to positioning control, contour following control is also an important application of two-axis servomechanisms such as X-Y tables. Therefore, the reduction of contour following error so as to improve contour following accuracy is one of the important research topics for two-axis servomechanisms. Generally, the assessment of contour following accuracy is based on two error indices - tracking error and contour error. Although the reduction of tracking error can lead to the improvement of contour following accuracy, many previous studies suggest that contour error is a more crucial indicator than tracking error in contour following applications. As a result, this paper aims at developing a control scheme for contour error reduction so as to improve contour following accuracy. The proposed control scheme consists of a PI type feedback controller, a Cerebellar Model Articulation Control (CMAC) algorithm and an Iterative learning Control (ILC) scheme. In particular, the CMAC is combined with the ILC to compensate for the adverse effects due to external disturbance and nonlinear phenomenon. Experimental results verify the effectiveness of the proposed contour following control scheme.
Proteomics-based Identification of Novel Factor Inhibiting Hypoxia-inducible Factor (FIH) Substrates Indicates Widespread Asparaginyl Hydroxylation of Ankyrin Repeat Domain-containing Proteins*S⃞

Post-translational hydroxylation has been considered an unusual modification on intracellular proteins. However, following the recognition that oxygen-sensitive prolyl and asparaginyl hydroxylation are central to the regulation of the transcription factor hypoxia-inducible factor (HIF), interest has centered on the possibility that these enzymes may have other substrates in the proteome. In support of this certain ankyrin repeat domain (ARD)-containing proteins, including members of the IκB and Notch families, have been identified as alternative substrates of the HIF asparaginyl hydroxylase factor inhibiting HIF (FIH). Although these findings imply a potentially broad range of substrates for FIH, the precise extent of this range has been difficult to determine because of the difficulty of capturing transient enzyme-substrate interactions. Here we describe the use of pharmacological “substrate trapping” together with stable isotope labeling by amino acids in cell culture (SILAC) technology to stabilize and identify potential FIH-substrate interactions by mass spectrometry. To pursue these potential FIH substrates we used conventional data-directed tandem MS together with alternating low/high collision energy tandem MS to assign and quantitate hydroxylation at target asparaginyl residues. Overall the work has defined 13 new FIH-dependent hydroxylation sites with a degenerate consensus corresponding to that of the ankyrin repeat and a range of ARD-containing proteins as actual and potential substrates for FIH. Several ARD-containing proteins were multiply hydroxylated, and detailed studies of one, Tankyrase-2, revealed eight sites that were differentially sensitive to FIH-catalyzed hydroxylation. These findings indicate that asparaginyl hydroxylation is likely to be widespread among the ∼300 ARD-containing species in the human proteome.
Linking Biological Literature , Ontologies and Databases : Mining Biological Semantics

A pervasive problem facing many biomedical text mining applications is that of correctly associating mentions of entities in the literature with corresponding concepts in a database or ontology. Attempts to build systems for automating this process have shown promise as demonstrated by the recent BioCreAtIvE Task 1B evaluation. A significant obstacle to improved performance for this task, however, is a lack of high quality training data. In this work, we explore methods for improving the quality of (noisy) Task 1B training data using variants of weakly supervised learning methods. We present positive results demonstrating that these methods result in an improvement in training data quality as measured by improved system performance over the same system using the originally labeled data.
Pharmacist–physician collaborative care model for patients with uncontrolled type 2 diabetes in Brazil: results from a randomized controlled trial

RATIONALE, AIMS AND OBJECTIVES This study aimed to evaluate the effect of a pharmacist-physician collaborative care model on clinical outcomes in patients with uncontrolled type 2 diabetes and determine characteristics that influence this effect. METHODS A randomized controlled trial was conducted in a secondary care clinic for 80 patients with type 2 diabetes, aged 40-79 years and glycosylated haemoglobin (A1C) level ≥ 7.0%. The intervention group received individual, face-to-face pharmaceutical consultations and remote telephone support after a routine visit. The main measures were clinical outcomes (A1C, blood pressure, LDL cholesterol) and process indicators (medication adherence, medication regimen complexity, use of medicines). Multiple regression models were used to determine the variables that could explain the reduction and individualized control of A1C. RESULTS From the initial sample of 80 patients, 73 completed this study. Compared with usual care, patients in the intervention group showed greater reduction in A1C (-0.79 vs. -0.16; P = 0.010); and an increase in the percentage of patients achieving the individualized goal of A1C (25.0% vs. 5.4%; P = 0.020). In addition, there was an increase in the percentage of adherent patients and in the average scores of medication adherence. Participation in the intervention group, higher baseline A1C levels and greater change in medication adherence were all significant predictors of improvement in A1C levels. CONCLUSIONS The results suggest that the collaborative care model proposed is feasible and more effective than the usual care in the reduction and individualized control of A1C levels in patients with uncontrolled type 2 diabetes.
A WARE MAC P ROTOCOLS FOR WSN

In Wireless Sensor Network (WSN), QoS (Quality of Service) in sensor application plays a very important role. QoS based routing is required to ensure the best use of nodes in WSN. In this paper, a comparative study of QoS based routing in Media Access Control (MAC) protocols are presented based on the traits to solve problems like prioritization, timeliness, reliability etc. The study mainly focuses on some priority based QoS protocols used in WSN and a comparison among them. The study reveals that among the five mentioned protocols; QMAC, PRIMA, DB-MAC, RAP, GTS; PRIMA shows the best performance in the category of Packet Prioritization, Scheduling Scheme, Queue Type, Energy Awareness and QoS.
Design and performance analysis of Substrate Integrated Waveguide based cavity backed slot antenna for MIMO configuration

Substrate Integrated Waveguide (SIW) technology is a potential candidate for implementation of microwave circuits. SIW is used for transmission of electromagnetic waves. It facilitates the realization of non-planar (waveguide based) circuits into planar form for easy synthesis with other planar circuits. In this paper, an SIW cavity backed slot antenna for 2×2 MIMO applications is proposed. This structure offers a compact, low profile, light weight and high gain antenna which is suitable for satellite communication and mobile applications. Our experiments at 2.2 GHz show a return loss below -25 dB for this antenna and a gain greater than 8 dB.
The Onset of CD8+-T-Cell Contraction Is Influenced by the Peak of Listeria monocytogenes Infection and Antigen Display

ABSTRACT The CD8+-T-cell response to infection with Listeria monocytogenes consists of expansion, contraction, and memory phases. The transition between expansion and contraction is reported to occur on different days postinfection with virulent (8 to 9 days) and attenuated (ΔactA) (7 days) L. monocytogenes strains. We hypothesized that differences in the infectious courses, and therefore antigen (Ag) display, determine the precise time of the expansion/contraction transition in response to these infections. To test this, we infected BALB/c mice with 0.1 50% lethal dose of ΔactA or virulent L. monocytogenes and measured bacterial numbers, Ag display, and Ag-specific CD8+-T-cell responses on various days after infection. We found that bacterial numbers and Ag display peaked between 12 and 36 h and between 36 and 60 h after infection with ΔactA and virulent L. monocytogenes strains, respectively. Infection with ΔactA L. monocytogenes resulted in a sharp peak in the Ag-specific CD8+-T-cell response on day 7, while infection with virulent L. monocytogenes yielded a prolonged peak with equivalent numbers of Ag-specific CD8+ T cells on days 6, 7, and 8 after infection. Truncating virulent infection with antibiotics on day 1 or 2 after infection resulted in a shift in the expansion/contraction transition from day 8 to day 7 after infection. However, antibiotic treatment beginning on day 3, after the peak of virulent L. monocytogenes infection and Ag display, had no effect upon the magnitude or timing of the CD8+-T-cell response. These results demonstrate a direct relationship between the course of infection and Ag display and that the timing of these events is important in shaping the T-cell response to infection.
Improved Lexical Acquisition through DPP-based Verb Clustering

Subcategorization frames (SCFs), selectional preferences (SPs) and verb classes capture related aspects of the predicateargument structure. We present the first unified framework for unsupervised learning of these three types of information. We show how to utilize Determinantal Point Processes (DPPs), elegant probabilistic models that are defined over the possible subsets of a given dataset and give higher probability mass to high quality and diverse subsets, for clustering. Our novel clustering algorithm constructs a joint SCF-DPP DPP kernel matrix and utilizes the efficient sampling algorithms of DPPs to cluster together verbs with similar SCFs and SPs. We evaluate the induced clusters in the context of the three tasks and show results that are superior to strong baselines for each 1 .
A new verification-based fast-match for large vocabulary continuous speech recognition

Acoustic fast-match is a popular way to accelerate the search in large-vocabulary continuous-speech recognition, where an efficient method is used to identify poorly scoring phonemes and discard them from detailed evaluation. In this paper we view acoustic fast-match as a verification problem, and hence develop an efficient likelihood ratio test, similar to other verification scenarios, to perform the fast match. Various aspects of the test like the design of alternate hypothesis models and the setting of phoneme look-ahead durations and decision thresholds are studied, resulting in an efficient implementation. The proposed fast-match is tested in a large vocabulary speech recognition task and it is demonstrated that depending on the decision threshold, it leads to 20-30% improvement in speed without any loss in recognition accuracy. In addition, it significantly outperforms a similar test based on using likelihoods only, which fails, in our setting, to bring any improvement in speed-accuracy trade-off. In a larger set of experiments with varying acoustic and task conditions, similar improvements are observed for the fast-match with the same model and setting. This indicates the robustness of the proposed technique. The gains due to the proposed method are obtained within a highly efficient 2-pass search strategy and similar or even higher gains are expected in other alternative search architectures.
Extracellular Electron Transfer Is a Bottleneck in the Microbiologically Influenced Corrosion of C1018 Carbon Steel by the Biofilm of Sulfate-Reducing Bacterium Desulfovibrio vulgaris

Carbon steels are widely used in the oil and gas industry from downhole tubing to transport trunk lines. Microbes form biofilms, some of which cause the so-called microbiologically influenced corrosion (MIC) of carbon steels. MIC by sulfate reducing bacteria (SRB) is often a leading cause in MIC failures. Electrogenic SRB sessile cells harvest extracellular electrons from elemental iron oxidation for energy production in their metabolism. A previous study suggested that electron mediators riboflavin and flavin adenine dinucleotide (FAD) both accelerated the MIC of 304 stainless steel by the Desulfovibrio vulgaris biofilm that is a corrosive SRB biofilm. Compared with stainless steels, carbon steels are usually far more prone to SRB attacks because SRB biofilms form much denser biofilms on carbon steel surfaces with a sessile cell density that is two orders of magnitude higher. In this work, C1018 carbon steel coupons were used in tests of MIC by D. vulgaris with and without an electron mediator. Experimental weight loss and pit depth data conclusively confirmed that both riboflavin and FAD were able to accelerate D. vulgaris attack against the carbon steel considerably. It has important implications in MIC failure analysis and MIC mitigation in the oil and gas industry.
Advances in dialectal Arabic speech recognition: a study using Twitter to improve Egyptian ASR

This paper reports results in building an Egyptian Arabic speech recognition system as an example for under-resourced languages. We investigated different approaches to build the system using 10 hours for training the acoustic model, and results for both grapheme system and phoneme system using MADA. The phoneme-based system shows better results than the grapheme-based system. In this paper, we explore the use of tweets written in dialectal Arabic. Using 880K Egyptian tweets reduced the Out Of Vocabulary (OOV) rate from 15.1% to 3.2% and the WER from 59.6% to 44.7%, a relative gain 25% in WER.
Hashtag Recommendation Using Dirichlet Process Mixture Models Incorporating Types of Hashtags

In recent years, the task of recommending hashtags for microblogs has been given increasing attention. Various methods have been proposed to study the problem from different aspects. However, most of the recent studies have not considered the differences in the types or uses of hashtags. In this paper, we introduce a novel nonparametric Bayesian method for this task. Based on the Dirichlet Process Mixture Models (DPMM), we incorporate the type of hashtag as a hidden variable. The results of experiments on the data collected from a real world microblogging service demonstrate that the proposed method outperforms stateof-the-art methods that do not consider these aspects. By taking these aspects into consideration, the relative improvement of the proposed method over the state-of-theart methods is around 12.2% in F1- score.
A semi-automatic approach to home video editing

Hitchcock is a system that allows users to easily create custom videos from raw video shot with a standard video camera. In contrast to other video editing systems, Hitchcock uses automatic analysis to determine the suitability of portions of the raw video. Unsuitable video typically has fast or erratic camera motion. Hitchcock first analyzes video to identify the type and amount of camera motion: fast pan, slow zoom, etc. Based on this analysis, a numerical “unsuit-ability” score is computed for each frame of the video. Combined with standard editing rules, this score is used to identify clips for inclusion in the final video and to select their start and end points. To create a custom video, the user drags keyframes corresponding to the desired clips into a storyboard. Users can lengthen or shorten the clip without specifying the start and end frames explicitly. Clip lengths are balanced automatically using a spring-based algorithm.
Rigid Joints Transferring Forces outside Box Columns with Deviation of Column's Location Axis-Finite Element Method Simulation

location axis, joints, force-transforming plates, carrying capacityAbstract: Steel structure has been widely used all over the world. In actual construction process, steel structure inevitably has initial defects, which may have bad influences on its performance. Three groups of specimens were designed in this paper to compare the performance of rigid joints transferring forces outside box columns to that of perfect traditional joints and that of traditional joints with uniaxial and biaxial deviation of column's location axis by finite element method program ANSYS. From the analysis of stiffness, yielding capacity, and ultimate carrying capacity, the impact of force-transforming plates can be evaluated. The adding force-transforming plates were helpful to reduce the influence from column imperfect.