Miracle-dz/UniFAR-FTUs huggingface dataset:
EVALUATION OF PROTEIN AND FIBER FROM DISTILLERS GRAINS PLUS SOLUBLES IN FINISHING BEEF CATTLE DIETS

Crossbred yearling steers (n = 448; initial BW 368 kg; SD=13) were utilized in a generalized randomized block design to determine the effect of altering distillers grains plus solubles (DGS) composition on performance and carcass characteristics. Treatments were: 1) negative control (CON) with 50% dry-rolled corn; 2) positive control (DDGS) dried DGS replaced corn at 50% of diet; 3) pelleted corn stover (PEL-STV) treated with calcium oxide, containing 18.75% solubles (CDS), 12.5% treated corn stover, and 18.75% high-protein dried distillers grains plus solubles (HPDG), pelleted; 4) nonpelleted corn stover (STV), treated with calcium oxide, containing treated corn stover, CDS, and HPDG at same DM inclusion as PEL-STV; 5) component DGS(COMP) including 18.75% CDS, 12.5% corn bran, isolated from the dry-milling ethanol process, and 18.75% HPDG; 6) component medium protein (COMP-MED) contained 24.4% CDS, 16.2% corn bran, and 9.4% HPDG; and 7) component low protein (COMP-LOW) had 30% CDS and 20% corn bran (DM basis). Performance and carcass characteristics were analyzed using the MIXED procedures of SAS with pen as the experimental unit. Block was a fixed effect and contrasts were developed to determine effects of exchanging components in DGS. Dry matter intake and ADG were greater for DDGS compared to CON (P < 0.01). Combining corn bran, CDS, and HPDG together in similar proportions to DDGS reduced G:F by 9.0% (P < 0.01) compared to DDGS. There was a quadratic increase in DMI as protein was removed between COMP, COMP-MED, and COMPLOW (P < 0.04). Steers fed DDGS had heavier HCW (P < 0.01) and increased 12 rib fat thickness (P < 0.02) compared to COMP. As protein decreased between COMP, COMP-MED, and COMP-LOW fat thickness decreased linearly (P = 0.02). Replacing
Study of Nano-Fe3O4 Addition on Magnetic and Mechanical Properties of HMDI-Based Polyurethane

Polyurethane has a wide range of chemical structures available led to the design of materials that easily can meet requirements to shape memory polyurethane (SMPU) due to its ability to retain its shape after deformation through giving a certain disturbance like magnetic field. Based on the previous study, polyurethanes synthesized by reacting 4,4’-methylenebis (cyclohexyl isocyanate) to poly(ethylene glycol) Mw: 6000 as polyurethane chain with 1,1,1-trimethylol propane as chain extender, is a potential candidate for shape memory polyurethane (SMPU). Furthermore this study was performed by adding Fe3O4 nanoparticles as a filler to provide magnetic behavior. In this study, The magnetic and mechanical properties of the SMPU after adding Fe3O4 nanoparticles were evaluated by observing compatibility between the filler and matrix, morphology, ability in retaining shape, and mechanical properties through measuring FTIR, FESEM, Vibrating Magnetometer and UTM, respectively. This study reported a good compatibility between Fe3O4 and the polyurethane, and lack agglomeration of Fe3O4 nanoparticles indicated FTIR and FESEM-EDAX, the fastest ability on retaining its shape obtained from materials with lowest Fe3O4 (3 wt%). Meanwhile the best mechanical and magnetic was resulted from adding 11 wt% of Fe3O4
Multi-lingual Dependency Parsing at NAIST

In this paper, we present a framework for multi-lingual dependency parsing. Our bottom-up deterministic parser adopts Nivre's algorithm (Nivre, 2004) with a preprocessor. Support Vector Machines (SVMs) are utilized to determine the word dependency attachments. Then, a maximum entropy method (MaxEnt) is used for determining the label of the dependency relation. To improve the performance of the parser, we construct a tagger based on SVMs to find neighboring attachment as a preprocessor. Experimental evaluation shows that the proposed extension improves the parsing accuracy of our base parser in 9 languages. (Hajic et al., 2004; Simov et al., 2005; Simov and Osenova, 2003; Chen et al., 2003; Bohmova et al., 2003; Kromann, 2003; van der Beek et al., 2002; Brants et al., 2002; Kawata and Bartels, 2000; Afonso et al., 2002; Dzeroski et al., 2006; Civit and Marti, 2002; Nilsson et al., 2005; Oflazer et al., 2003; Atalay et al., 2003).
Avaliação físico-química de bolo de chocolate com coberturas comestíveis à base de gelatina, ácido esteárico, amido modificado ou cera de carnaúba Physical and chemical evaluation of chocolate cake covered with gelatin, stearic acid, modified starch or "carnaúba" wax edible icing

Abstract Biodegradable edible icing or frosting is an alternative to synthetic packaging that causes environmental concerns. This work evaluated the effect of different types of frosting on the physical-chemical properties of chocolate cake during storage in comparison to cakes without icing or frosting (C) and cakes without frosting packed in polypropylene (CP). The following frostings were applied to the cakes: 10% gelatin (GE), 10% gelatin with 10% stearic acid (GE+SA), 18% “ carnauba ” wax (CW), 10% modified starch (MS), and fondant (FO). The cakes were analyzed during 10 days of storage. FO and CP presented the lowest mass loss while all other treatments presented higher values than C. GE, GE+SA, and CP presented the lowest reduction of water activity while CW and C presented the highest reduction. The surfaces of the frosted cakes were harder than C and CP. The highest values for hardness and chewiness were found for CW and C and the lowest for CP, GE, and GE+SA. With respect to color, GE+SA was different from the remaining cakes due to the presence of the stearic acid. The results indicate that the mass loss of the cakes could also be attributed to the loss of water from the frostings.
Malabsorption of Oral Antibiotics in Pregnancy after Gastric Bypass Surgery

Gastric bypass surgery, by definition, changes the absorption capabilities of the stomach and small intestine. The use of oral medications in patients post gastric bypass may need to be adjusted by medical providers to account for this absorption change. The following case exemplifies this dilemma in a pregnant patient status post gastric bypass surgery with a complicated urinary tract infection.
Fecal Short-Chain Fatty Acid Variations by Breastfeeding Status in Infants at 4 Months: Differences in Relative versus Absolute Concentrations

Our gut microbiota provide a number of important functions, one of which is the metabolism of dietary fiber and other macronutrients that are undigested by the host. The main products of this fermentation process are short-chain fatty acids (SCFAs) and other intermediate metabolites including lactate and succinate. Production of these metabolites is dependent on diet and gut microbiota composition. There is increasing evidence for the role of SCFAs in host physiology and metabolic processes as well as chronic inflammatory conditions such as allergic disease and obesity. We aimed to investigate differences in fecal SCFAs and intermediate metabolites in 163 infants at 3–5 months of age according to breastfeeding status. Compared to no exposure to human milk at time of fecal sample collection, exclusive breastfeeding was associated with lower absolute concentrations of total SCFAs, acetate, butyrate, propionate, valerate, isobutyrate, and isovalerate, yet higher concentrations of lactate. Further, the relative proportion of acetate was higher with exclusive breastfeeding. Compared to non-breastfed infants, those exclusively breastfed were four times more likely (aOR 4.50, 95% CI 1.58–12.82) to have a higher proportion of acetate relative to other SCFAs in their gut. This association was independent of birth mode, intrapartum antibiotics, infant sex, age, recruitment site, and maternal BMI or socioeconomic status. Our study confirms that breastfeeding strongly influences the composition of fecal microbial metabolites in infancy.
Opportunities and Challenges of Solar-Energy-Driven Carbon Dioxide to Fuel Conversion with Plasmonic Catalysts

The ability of plasmonic nanoparticles to harness visible light can be being combined with their catalytic activity to drive photocatalytic transformations. This Review introduces the promise of this new class of photocatalysts for fulfilling the quest for sunlight-driven recycling of CO2 into transportable liquid fuels. We discuss the prospects and challenges of such an approach. Despite considerable advances, a selective, stable, and efficient CO2 reduction reaction (CO2RR) catalyst has been elusive. These open challenges may be addressable by the strategic utilization of plasmonic light excitation. Plasmonic catalysts have exhibited the ability to drive a rich milieu of CO2RR processes under visible light excitation. At this stage, improved mechanistic understanding and reaction control are needed. To motivate rational design of photocatalytic materials and processes by a future generation of researchers, we suggest potential pathways by which plasmonic-assisted CO2RR can take place. We describe unique.
Voltage unbalance emission limits for installations - general guidelines and system specific considerations

Guidelines for developing voltage unbalance emission limits for installations connected to EHV, HV, and MV power systems have recently been published as a technical report by the International Electrotechnical Commission (IEC). These guidelines, based on the work of Joint Working Group CIGRE/CIRED C4.103, are intended to provide a common basis for the development of similar guidelines or standards in specific countries. This paper reviews these international guidelines and the background to the development of specific recommendations made in the technical report. It also considers elements of these guidelines that may relate to specific network considerations, and therefore may be of interest to countries wishing to develop local guidelines or standards. Additional information relating to the evaluation of such specific considerations is referenced.
Chalmers Publication Library Lyapunov Function for Periodic Economic Optimizing Model Predictive Control

Model Predictive Control (MPC) schemes are commonly using reference-tracking cost functions, which have attractive properties in terms of stability and numerical implementation. However, many control applications have clear economic objectives that can be used directly as the NMPC cost function. Such NMPC schemes are labelled Economic NMPC. Unfortunately, Economic NMPC schemes suffer from some drawbacks. In particular, stability results for economic NMPC are still very sparse. A Lyapunov function for Economic NMPC was first proposed in [1] for problems having a steady-state optimum. The present paper develops a further generalization and clarification of these results for periodic systems.
Soft Tissue Modeling using Nonlinear Mass Spring and Simplified Medial Representation

In this paper, we present a novel approach for real-time simulation of deformable soft tissue. When using Mass-Spring or Finite Element Method to simulate the global deformation of soft tissue dynamically, we'll meet the difficulty that the size of the 3D problem (the number of elements in the Mass-Spring or FEM mesh) is much larger than the 2D issue. So we put forward a hybrid model to solve the problems. This model consists of a deformable centerline and surface reconstruction mechanism based on simplified medial-representation algorithm and nonlinear mass-spring model, and we also proposed the local deformation method so that the accuracy is achieved and real-time requirement is also satisfied. We use a segmented left kidney and blood vessel as the examples in our case study.
Performance Optimizations for a Parallel , Two Stage Stochastic Linear Program A Case Study of the Military Aircraft Allocation Problem

The US air fleet is tasked with the worldwide movement of cargo and personnel. Due to a unique mixture of operating circumstances, it faces a large scale and dynamic set of cargo movement demands with sudden changes almost being the norm. Airfleet management involves periodically allocating aircraft to its myriad operations, while judiciously accounting for this uncertainty to minimize operating costs. We have formulated this allocation problem as the optimization of a stochastic two-stage integer program. Our work aims to enable rapid decisions via a scalable parallel implementation. We present the design of our parallel solution that applied a well-known masterworker approach to solving the undecomposed linear programs underlying the formulation. This paper presents a narrative of the issues encountered and solutions that we developed to combat these. We believe these techniques may be generally applicable in other contexts where a parallel solution of stochastic optimization is of interest.
A Study on Multiple user-classes Dynamic traffic assignment

This paper studies the multiclass dynamic traffic assignment problem. A multiple user-classes dynamic user optimal traffic assignment model is proposed. The phenomenon of overtaking existing in traffic network is considered. The distinction between user-classes is typically based on vehicle travel speed. According to it, vehicles are classified into different classes. Asymmetric interactions between the user-classes sharing the same road infrastructure are taken into account. A set of multiple user-classes link travel time functions are proposed. For the same class user, the first-in-first-out principle holds. A case study illustrates the model.
A Polylogarithmic Approximation Algorithm for Edge-Disjoint Paths with Congestion 2

In the Edge-Disjoint Paths with Congestion problem (EDPwC), we are given an undirected n-vertex graph G, a collection M = {(s1, t1),. , (sk, tk)} of demand pairs and an integer c. The goal is to connect the maximum possible number of the demand pairs by paths, so that the maximum edge congestion - the number of paths sharing any edge - is bounded by c. When the maximum allowed congestion is c = 1, this is the classical Edge-Disjoint Paths problem (EDP). The best current approximation algorithm for EDP achieves an O(√n)-approximation, by rounding the standard multicommodity How relaxation of the problem. This matches the Ω(√n) lower bound on the integrality gap of this relaxation. We show an O(poly log k)-approximation algorithm for EDPwC with congestion c = 2, by rounding the same multi-commodity How relaxation. This gives the best possible congestion for a sub-polynomial approximation of EDPwC via this relaxation. Our results are also close to optimal in terms of the number of pairs routed, since EDPwC is known to be hard to approximate to within a factor of Ω̅(log n)1/(c+1)) for any constant congestion c. Prior to our work, the best approximation factor for EDPwC with congestion 2 was O̅(n3/7), and the best algorithm achieving a polylogarithmic approximation required congestion 14.
An architectural support for self-adaptive software for treating faults

Considering the current trend of building systems from existing components that allow neither code inspection nor change, the solution for enabling dynamic adaptation of software systems should not be intrusive in the way that components should be designed. The architectural approach for treating faults described in this paper, instead of providing mechanisms and techniques at the component level, it relies on the interactions between components for obtaining flexible software structures that are nevertheless robust to the occurrence of undesirable events.
MicroRNA Signatures of Drought Signaling in Rice Root

Background Drought stress is one of the most important abiotic stresses and the main constraint to rice agriculture. MicroRNA-mediated post-transcriptional gene regulation is one of the ways to establish drought stress tolerance in plants. MiRNAs are 20–24-nt regulatory RNAs that play an important role in regulating plant gene expression upon exposure to biotic and abiotic stresses. Methodology/Principal Findings In this study, we applied a partial root drying system as well as a complete root drying system to identify miRNAs involved in conditions of drought stress, drought signaling and wet signaling using high-throughput sequencing. To this end, we produced four small RNA libraries: (1) fully-watered (WW), (2) fully-droughted (WD), and split-root systems where (3) one-half was well watered (SpWW) and (4) the other half was water-deprived (SpWD). Our analysis revealed 10,671 and 783 unique known and novel miRNA reads in all libraries, respectively. We identified, 65 (52 known + 13 novel), 72 (61 known + 11 novel) and 51 (38 known + 13 novel) miRNAs that showed differential expression under conditions of drought stress, drought signaling and wet signaling, respectively. The results of quantitative real-time PCR showed expression patterns similar to the high-throughput sequencing results. Furthermore, our target prediction led to the identification of 244, 341 and 239 unique target genes for drought-stress-, drought-signaling- and wet-signaling-responsive miRNAs, respectively. Conclusions/Significance Our results suggest that miRNAs that are responsive under different conditions could play different roles in the regulation of abscisic acid signaling, calcium signaling, detoxification and lateral root formation.
Psychiatric diagnosis: the indispensability of ambivalence

The author analyses how debate over the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders has tended to privilege certain conceptions of psychiatric diagnosis over others, as well as to polarise positions regarding psychiatric diagnosis. The article aims to muddy the black and white tenor of many discussions regarding psychiatric diagnosis by moving away from the preoccupation with diagnosis as classification and refocusing attention on diagnosis as a temporally and spatially complex, as well as highly mediated process. The article draws on historical, sociological and first-person perspectives regarding psychiatric diagnosis in order to emphasise the conceptual—and potentially ethical—benefits of ambivalence vis-à-vis the achievements and problems of psychiatric diagnosis.
Delay spread properties in a measured massive MIMO system at 2.6 GHz

Massive multiple-input multiple-output (MIMO) systems, where the base station (BS) is equipped with a large number of antennas and the mobile devices have a single antenna, can significantly enhance the system performance. In many wireless systems inter symbol interference (ISI) due to delay dispersion of the channel can dramatically affect the demodulation process of the received signals. Precoding in massive MIMO can reduce or eliminate ISI, while still exploiting the spatial diversity. In this paper, we investigate how much standard linear precoders help the ISI mitigation by shortening the rms delay spread. In order to evaluate the system performance, we measured a massive MIMO channel with 128 antennas at the base station and 36 users, including 26 line-of-sight and 10 non line-of-sight, each equipped with a single antenna. We also compare the results from the measurements with an independent identically distributed Gaussian channel with an exponentially decaying average power delay profile.
GaN Takes the Lead

Gallium nitride (GaN) technology is transforming RF monolithic microwave integrated circuits (MMICs) for power amplifiers (PAs), switches, low noise amplifiers, and more. Vendors are now producing GaN MMICs in volume and achieving outstanding performance. GaNs characteristics enable PA MMICs with 35 times the output power of GaAs alternatives or much smaller die sizes from L-band through Ka-band. High-power switches with low insertion loss up through 18 GHz have been developed. Low-noise amplifiers have been demonstrated with noise figures equivalent to gallium arsenide (GaAs) but with much higher input power survivability. The market for GaN RF MMICs spans commercial and military applications, including base station, cable television infrastructure, communications, radar and electronic warfare (EW), among others.
A New Rapid and Sensitive LC-MS Assay for the Determination of Sorafenib in Plasma: Application to a Patient Undergoing Hemodialysis

A simple liquid chromatography–mass spectrometry method was developed and validated for quantification of sorafenib (Nexavar) in human plasma. After a solid-phase extraction procedure, the separation was performed within 2 minutes using an isocratic flow of a mobile phase consisting of formic acid/acetonitrile applied on a C18 analytical column. The analyte was detected by mass spectrometry in the single-ion monitoring mode. The method was validated according to the recommendations of the US Food and Drug Administration. The method was linear (r2 > 0.99) between 10 and 10,000 ng/mL. The lower limits of detection and quantification were 5 and 10 ng/mL, respectively. Within-day and between-day imprecisions were less than 10.4%, and inaccuracy did not exceed 8.7%. The mean extraction recovery was 92.2%. The method also provided satisfactory results in terms of time stability and dilution integrity. Sorafenib plasma concentrations of the studied patient ranged between 1831 and 3459 ng/mL. This new technique is rapid, sensitive, and was applied to the determination of sorafenib plasma concentrations in a patient undergoing hemodialysis. Our results indicate that sorafenib is not cleared from plasma by hemodialysis, although analysis should be delayed after dialysis to avoid erratic fluctuations.
Effect of repeated treatment with tianeptine and fluoxetine on central dopamine D2/D3 receptors

Tianeptine (TIA) is an antidepressant drug that has been shown to decrease extracellular serotonin level and reveals no affinity for neurotransmitter receptors. The present study was aimed at determining whether repeated TIA treatment induced any adaptive changes in the central dopamine D2/D3 system (behavioural and biochemical) similar to those reported earlier for tricyclic antidepressants. Experiments were carried out on male Wistar rats. TIA was administered at a dose of 5 and 10 mg/kg once or repeatedly (twice daily for 14 days). Fluoxetine (FLU), used as a reference compound, was also administered at a dose of 10 mg/kg. The results obtained showed that TIA or FLU administered repeatedly increased the hyperlocomotion induced by D-amphetamine and 7-hydroxy-dipropylaminotetralin (7-OH-DPAT). Biochemical study revealed a decrease in the [3H]7-OH-DPAT binding sites after acute and repeated treatment with TIA or FLU in the islands of Calleja minor, as well as in the shell part of nucleus accumbens septi. On the other hand, both TIA and FLU administered repeatedly increased the binding of [3H]quinpirole (a D2/D3 receptor agonist) in the nucleus caudatus as well as in the core part of the nucleus accumbens septi. Similar effects have been observed when dopamine D2/D3 receptors were visualized with the use of [3H]raclopride, a dopamine D2/D3 receptor antagonist. However, TIA and FLU induced a decrease in the level of mRNA encoding for dopamine D2 receptors, not only after repeated but also after acute treatment. These results indicate that repeated TIA and FLU administration induces adaptive changes in the dopaminergic D2/D3 system and especially enhances the functional responsiveness of dopamine D2 and D3 receptors. However, the question of whether this increased responsiveness is important for clinical antidepressant efficacy remains open.