Miracle-dz/UniFAR-FTUs huggingface dataset:
Intake and digestion of low-quality meadow hay by steers and performance of cows on native range when fed protein supplements containing various levels of corn.

Two trials were conducted to evaluate the effects of corn in protein supplements fed to cattle receiving low-quality forages. In Trial 1, four ruminally cannulated steers (avg BW 500 kg) and four intact steers (avg BW 270 kg) were used in a replicated latin square to determine intake and digestibility fo a low-quality meadow hay (4.3% CP) when fed no supplement (NS), 1.12 g CP/kg BW (PS), 1.12 g CP/kg BW with corn supplying 1.98 g starch/kg BW (PLC) or 1.12 g CP/kg BW with corn supplying 3.96 g starch/kg BW (PHC). Hay DMI decreased (P = .001) and total diet DMI increased (P = .001) quadratically as supplemental corn increased. Diet DM digestibility increased (P = .004) and forage DM and hemicellulose digestibility decreased (P less than or equal to .018) quadratically as level of corn in the diet increased. In Trial 2, 135 cows received either ear corn (1.16 kg TDN and 127 g CP.hd(-1). d(-1), ear corn plus protein (1.16 kg TDN) and 290 g CP g CP.hd(-1). d(-1) or protein (.72 kg TDN and 290 g CP.hd(-1.d(-1) while grazing native Sandhills winter range for 112 d and while receiving hay (10% CP) during the following 60-d calving period. Cows that received ear corn lost (P less than .001) more weight than cows fed ear corn plus protein supplement, which lost more weight than cows fed only protein supplement (-54, -18 and 6 kg, respectively) during the 112-d winter grazing period. Cows that received ear corn and ear corn plus protein gained more (P less than .001) weight during calving and summer grazing (after supplement wa withdrawn) than protein-supplemented cows. Reproductive performance was not affected (P greater than .705) by treatments.
A hybrid parametric-waveform approach to bit stream scalable audio coding

In this paper we present a wideband (44.1 kHz sampling rate) audio and speech coder that combines two different strategies, namely, parametric and waveform coding. It is shown how this approach can be used to design a layered bit stream scalable coder offering a wide variety of decoding bit rates with little scalability loss. Moreover, the bit rates associated with the different layers are competitive, in terms of quality, to those of standardized coders (MP3, AAC) tuned at a particular bit rate.
Silencing of Rotavirus NSP4 or VP7 Expression Reduces Alterations in Ca2+ Homeostasis Induced by Infection of Cultured Cells

ABSTRACT Rotavirus infection of cells in culture induces major changes in Ca2+ homeostasis. These changes include increases in plasma membrane Ca2+ permeability, cytosolic Ca2+ concentration, and total cell Ca2+ content and a reduction in the amount of Ca2+ released from intracellular pools sensitive to agonists. Various lines of evidence suggest that the nonstructural glycoprotein NSP4 and possibly the major outer capsid glycoprotein VP7 are responsible for these effects. In order to evaluate the functional roles of NSP4 and other rotavirus proteins in the changes in Ca2+ homeostasis observed in infected cells, the expressions of NSP4, VP7, and VP4 were silenced using the short interfering RNA (siRNA) technique. The transfection of specific siRNAs resulted in a strong and specific reduction of the expression of NSP4, VP7, and VP4 and decreased the yield of new viral progeny by more than 90%. Using fura-2 loaded cells, we observed that knocking down the expression of NSP4 totally prevented the increase in Ca2+ permeability of the plasma membrane and cytosolic Ca2+ concentration measured in infected cells. A reduction in the levels of VP7 expression partially reduced the effect of infection on plasma membrane Ca2+ permeability and Ca2+ pools released by agonist (ATP). In addition, the increase of total Ca2+ content (as measured by 45Ca2+ uptake) observed in infected cells was reduced to the levels in mock-infected cells when NSP4 and VP7 were silenced. Finally, when the expression of VP4 was silenced, none of the disturbances of Ca2+ homeostasis caused by rotaviruses in infected cells were affected. These data altogether indicate that NSP4 is the main protein responsible for the changes in Ca2+ homeostasis observed in rotavirus-infected cultured cells. Nevertheless, VP7 may contribute to these effects.
Moderate relationships between NAA and cognitive ability in healthy adults: implications for cognitive spectroscopy

Background: Proton Magnetic Resonance Spectroscopy (1H-MRS) is a non-invasive imaging technique that enables quantification of neurochemistry in vivo and thereby facilitates investigation of the biochemical underpinnings of human cognitive variability. Studies in the field of cognitive spectroscopy have commonly focused on relationships between measures of N-acetyl aspartate (NAA), a surrogate marker of neuronal health and function, and broad measures of cognitive performance, such as IQ. Methodology/Principal Findings: In this study, we used 1H-MRS to interrogate single-voxels in occipitoparietal and frontal cortex, in parallel with assessments of psychometric intelligence, in a sample of 40 healthy adult participants. We found correlations between NAA and IQ that were within the range reported in previous studies. However, the magnitude of these effects was significantly modulated by the stringency of data screening and the extent to which outlying values contributed to statistical analyses. Conclusions/Significance: 1H-MRS offers a sensitive tool for assessing neurochemistry non-invasively, yet the relationships between brain metabolites and broad aspects of human behavior such as IQ are subtle. We highlight the need to develop an increasingly rigorous analytical and interpretive framework for collecting and reporting data obtained from cognitive spectroscopy studies of this kind.
Asymptotic behavior of solutions to dissipative Korteweg-de Vries equations

We study the large time behavior of solutions to the dissipative Korteweg-de Vries equations ut + uxxx + |D|αu + uux = 0 with 0 < α < 2. We find asymptotic expansions of the solution as t→∞ in various Sobolev norms.
Strategy Blindness as Disciplined IT-Use Practice: Looking Past the 'Unintended and Unexpected' through the Practice Lens

Strategy blindness is commonly understood as an unexpected outcome of IS strategy implementation that results as users make sense of new IT resources in unintended ways. What could be learned by instead treating strategy blindness expected? To this end, this paper unpacks some common assumptions of strategic failure and presents an alternative assumption ground. To explain how masculinites form sources of strategy failure, I reanalyze IT use at a Swedish paper-mill as negotiated among rough and respectable men: blue-collar workers and white-collar managers are shown to maintain distinct hierarchies yet enact the same fixed IT use reality, in each case, intimate relations to the paper machine dictated their ways. Power plays of optimization and mastery illustrate each identity. I then critique current ideas in strategic management and received notions of how IT matters in strategy practice.
Coupling potentials in CA1 neurons during calcium-free-induced field burst activity

Small amplitude depolarizations (fast prepotentials, spikelets) recorded in mammalian neurons are thought to represent either dendritic action potentials or presynaptic action potentials attenuated by gap junctions. We have used whole-cell recordings in an in vitro calcium- free model of epilepsy to record spikelets from CA1 neurons of the rat hippocampus. It was found that spikelet appearance was closely correlated with the occurrence of dye coupling between pyramidal neurons, indicating that both phenomena share a common substrate. Spikelets were characterized according to waveform (amplitude and shape) and temporal occurrence. Spikelet amplitudes were found to be invariant with neuronal membrane potential, and their pattern of occurrence was indistinguishable from patterns of action potential firing in these cells. Voltage and current recordings revealed a spikelet waveform that was usually biphasic, comprised of a rapid depolarization followed by a slower hyperpolarization. Numerical differentiation of spike bursts resulted in waveforms similar to recorded spikelet sequences, while numerical integration of spikelets yielded waveforms that were indistinguishable from action potentials. Modification of spikelet waveforms by the potassium channel blocker tetraethylammonium chloride suggests that spikelets may arise from both resistive and capacitive transmission of presynaptic action potentials. Intracellular alkalinization and acidification brought about by perfusion with NH4Cl caused changes in spikelet frequency, consistent with reported alterations of field burst activity in this model of epilepsy. These results suggest that spikelets result from gap junctional communication, and may be important determinants of neuronal activity during seizure-like activity.
Effect of adding oral calcium dobesilate to laser photocoagulation on the macular thickness in patients with diabetic macular edema: a randomized clinical trial.

PURPOSE To evaluate the effect of oral calcium dobesilate (Doxium) on macular thickness in clinically significant macular edema (CSME). METHODS Overall, 71 eyes of 40 patients with non-proliferative diabetic retinopathy and clinically significant macular edema were included. All patients were received laser treatment for macular edema. Coherence optical tomography was used to determine the retinal thickness. Patients were randomized into two groups: group A received three Doxium capsule daily and group B received three placebo capsule daily for six months. RESULTS The mean macular thickness before and after treatment in the group A was 340 and 257 micrometers respectively (24.5% reduced), and in the group B was 336 micrometers and 263 micrometers respectively (21.5% reduced). Macular thickness significantly decreased after treatment in both groups and the reduction in group A is higher but the difference of reduction between the two groups was not statistically significant (P>0.05). CONCLUSION In respect to the effect of adding oral Doxium to Laser Photocoagulation on the macular thickness in patients with diabetic macular edema, this study showed no statistically significant difference between Doxium and placebo.
FALCON: Rapid statistical fault coverage estimation for complex designs

FALCON (FAst fauLt COverage estimatioN) is a scalable method for fault grading which uses local fault simulations to estimate the fault coverage of a large system. The generality of this method makes it applicable for any modular design. Our analysis shows that the run time of our algorithm is related to the number of gates and the number of IOs in a module, while fault simulation run time is related to the total number of gates in the system. We have measured fault coverage for OR1200 and IVM processors and compared the results with fault simulation performed by a commercial tool. We have also compared our results with fault sampling. Our results show that for large designs FALCON is an order of magnitude faster compared with fault simulation. It also has a smaller error rate compared with fault sampling when the size of design under test grows.
Characterization of LINE-1 Ribonucleoprotein Particles

The average human genome contains a small cohort of active L1 retrotransposons that encode two proteins (ORF1p and ORF2p) required for their mobility (i.e., retrotransposition). Prior studies demonstrated that human ORF1p, L1 RNA, and an ORF2p-encoded reverse transcriptase activity are present in ribonucleoprotein (RNP) complexes. However, the inability to physically detect ORF2p from engineered human L1 constructs has remained a technical challenge in the field. Here, we have employed an epitope/RNA tagging strategy with engineered human L1 retrotransposons to identify ORF1p, ORF2p, and L1 RNA in a RNP complex. We next used this system to assess how mutations in ORF1p and/or ORF2p impact RNP formation. Importantly, we demonstrate that mutations in the coiled-coil domain and RNA recognition motif of ORF1p, as well as the cysteine-rich domain of ORF2p, reduce the levels of ORF1p and/or ORF2p in L1 RNPs. Finally, we used this tagging strategy to localize the L1–encoded proteins and L1 RNA to cytoplasmic foci that often were associated with stress granules. Thus, we conclude that a precise interplay among ORF1p, ORF2p, and L1 RNA is critical for L1 RNP assembly, function, and L1 retrotransposition.
UniTN End-to-End Discourse Parser for CoNLL 2016 Shared Task

Penn Discourse Treebank style discourse parsing is a composite task of detecting explicit and non-explicit discourse relations, their connective and argument spans, and assigning a sense to these relations. Due to the composite nature of the task, the end-to-end performance is greatly affected by the error propagation. This paper describes the end-to-end discourse parser for English submitted to the CoNLL 2016 Shared Task on Shallow Discourse Parsing with the main focus of the parser being on argument spans and the reduction of global error through model selection. In the end-to-end closed-track evaluation the parser achieves F-measure of 0.2510 out-performing the best system of the previous year.
Spatio-Temporal Convolutional Sparse Auto-Encoder for Sequence Classification

We present in this paper a novel learning-based approach for video sequence classiﬁcation. Contrary to the dominant methodology, which relies on hand-crafted features that are manually engineered to be optimal for a speciﬁc task, our neural model automatically learns a sparse shift-invariant representation of the local 2D+t salient information, without any use of prior knowledge. To that aim, a spatio-temporal convolutional sparse auto-encoder is trained to project a given input in a feature space, and to reconstruct it from its projection coordinates. Learning is performed in an unsupervised manner by minimizing a global parametrized objective function. The sparsity is ensured by adding a sparsifying logistic between the encoder and the decoder, while the shift-invariance is handled by including an additional hidden variable to the objective function. The temporal evolution of the obtained sparse features is learned by a long short-term memory recurrent neural network trained to classify each sequence. We show that, since the feature learning process is problem-independent, the model achieves outstanding performances when applied to two different problems, namely human action and facial expression recognition. Obtained results are superior to the state of the art on the GEMEP-FERA dataset and among the very best on the KTH dataset.
Dynamic Link Adaptation and Routing Protocols in Wireless Sensor Networks based on Energy Harvesting of MAC Protocols

design of energy harvesting device is main part of MAC design. Recently the efficient method for energy harvesting (EH) device design for MAC protocols of WSN is studied. Practically this method proven it's efficient in terms of delivery ratio as well as energy consumption. This approach is focused on system-level considerations for networks operating with EH devices, by addressing the analysis and design of medium access control (MAC) protocols for single-hop wireless sensor networks, where a fusion center (FC) collect the data from sensors in its surrounding. Specifically, we investigate how performance and design of MAC protocols routinely used in WSNs, such as TDMA, framed-ALOHA (FA) and dynamic-FA (DFA). The energy efficiency is improved by using this MAC protocol with energy harvesting. However we can still further improve this method of energy harvesting with MAC protocol by introducing the use of energy efficient routing protocols along with link adaptation technique. Efficient routing algorithm can save a significant amount of energy in a network where routing occurs frequently. In WSN, routing protocols also plays important part for efficient energy utilization. In this paper we are further extending this energy efficient design of EH device for MAC protocols by adding dynamic link adaptation technique and the energy efficient routing protocol to it.
Student-t Based Robust Spatio-temporal Prediction

This paper describes an efficient and effective design of Robust Spatio-Temporal Prediction based on Student's t distribution, namely, St-RSTP, to provide estimations based on observations over spatio-temporal neighbors. The proposed St-RSTP is more resilient to outliers or other small departures from model assumptions than its ancestor, the Spatio-Temporal Random Effects (STRE) model. STRE is a state-of-the-art statistical model with linear order complexity for large scale processing. However, it assumes Gaussian observations, which has the well-known limitation of non-robustness. In our StRSTP design, the measurement error follows Student's t distribution, instead of a traditional Gaussian distribution. This design reduces the influence of outliers, improves prediction quality, and keeps the problem analytically intractable. We propose a novel approximate inference approach, which approximates the model into the form that separates the high dimensional latent variables into groups, and then estimates the posterior distributions of different groups of variables separately in the framework of Expectation Propagation. As a good property, our approximate approach degeneralizes to the standard STRE based prediction, when the degree of freedom of the Student's t distribution is set to infinite. Extensive experimental evaluations based on both simulation and real-life data sets demonstrated the robustness and the efficiency of our Student-t prediction model. The proposed approach provides critical functionality for stochastic processes on spatio-temporal data.
Journal of Graph Algorithms and Applications Approximations of Weighted Independent Set and Hereditary Subset Problems

The focus of this study is to clarify the approximability of weighted versions of the maximum independent set problem. In particular, we report improved performance ratios in bounded-degree graphs, inductive graphs, and general graphs, as well as for the unweighted problem in sparse graphs. Where possible, the techniques are applied to related hereditary subgraph and subset problem, obtaining ratios better than previously reported for e.g.
Send Orders of Reprints at Reprints@benthamscience.net Is There Still a Place for Continuous Closed Irrigation in the Management of Periprosthetic Total Knee Infection?

In recent decades, many technical improvements have been achieved in the use of prosthetic joints, and the risk of infection has been greatly reduced, to current rates of 0.4-2.0% following primary knee replacement. However, the increasing rate of joint replacements being performed means that the absolute number of such infections remains significant and poses substantial costs to healthcare systems worldwide. Accordingly, further strategies to treat and prevent total joint infections should be investigated. Infections following knee replacements can compromise the function and durability of arthroplasty. When these infections occur during the immediate postoperative period, irrigation and debridement with component retention can be attempted to salvage the implant. This is an attractive, cheap, low-morbidity treatment for periprosthetic knee infection. However, the results published regarding this procedure are uneven; some studies report the eradication of prosthetic joint infection by debridement alone in 70-90% of cases but conversely, others have reported a high failure rate for this procedure, averaging 68% (61-82%). The difference could be attributed in part to the multiplicity of variables that may influence the success of the procedure. One such is that of treatment with a continuous irrigation system, which has the theoretical advantage of enabling the administration of antimicrobial agents, as well as the drainage of debris and blood clots. The objective of this study is to elucidate the overall efficacy of irrigation and debridement with prosthesis retention in infected total knee arthroplasty and to determine whether the addition of a continuous irrigation system influences this efficacy.
Neutral Oxygen Beam Treated ZnO-Based Resistive Switching Memory Device

The room-temperature oxidation process allows irradiation with neutral oxygen particles onto the resistive layer that leads to the absorption of oxygen by the surface of the ZnO layer. The irradiation is effective in controlling the defect concentrations; thus, the ON and OFF resistances of devices can be significantly increased. These characteristics promote the occurrence of resistive switching at much lower current compliance as well as induce switching behavior in very thin ZnO films with thicknesses of 14–42 nm. The thickness dependence of the transformation from filamentary to homogeneous switching was also studied using the neutral beam technique, and the underlying mechanism is discussed.
Correctly Modeling the Diagonal Capacity in Escape Routing

Escape routing for packages and printed circuit boards (PCBs) has been studied extensively in the past. Network flow is pervasively used to model this problem. However, none of the previous works correctly models the diagonal capacity, which is essential for 45° routing in most packages and PCBs. As a result, existing algorithms may either produce routing solutions that violate the diagonal capacity or fail to output a legal routing even though there exists one. In this paper, we propose a new network flow model that guarantees the correctness when diagonal capacity is taken into consideration. This model leads to the first optimal algorithm for escape routing. We also extend our model to handle missing pins.
Fat-specific Protein 27 Undergoes Ubiquitin-dependent Degradation Regulated by Triacylglycerol Synthesis and Lipid Droplet Formation*

The fat-specific protein 27 (Fsp27), a protein localized to lipid droplets (LDs), plays an important role in controlling lipid storage and mitochondrial activity in adipocytes. Fsp27-null mice display increased energy expenditure and are resistant to high fat diet-induced obesity and diabetes. However, little is known about how the Fsp27 protein is regulated. Here, we show that Fsp27 stability is controlled by the ubiquitin-dependent proteasomal degradation pathway in adipocytes. The ubiquitination of Fsp27 is regulated by three lysine residues located in the C-terminal region. Substitution of these lysine residues with alanines greatly increased Fsp27 stability and enhanced lipid storage in adipocytes. Furthermore, Fsp27 was stabilized and rapidly accumulated following treatment with β-agonists that induce lipolysis and fatty acid re-esterification in adipocytes. More importantly, Fsp27 stabilization was dependent on triacylglycerol synthesis and LD formation, because knockdown of diacylglycerol acyltransferase in adipocytes significantly reduced Fsp27 accumulation in adipocytes. Finally, we observed that increased Fsp27 during β-agonist treatment preferentially associated with LDs. Taken together, our data revealed that Fsp27 can be stabilized by free fatty acid availability, triacylglycerol synthesis, and LD formation. The stabilization of Fsp27 when free fatty acids are abundant further enhances lipid storage, providing positive feedback to regulate lipid storage in adipocytes.