Effects of free methionine and lysine on in vitro fermentation and in vivo performance and ruminal fermentation of late lactation holstein cows

Two experiments were conducted to investigate the effects of free Met and Lys supplementation on ruminal fermentation in vitro and in vivo. In the in vitro study, supplementation of Met and Lys had effects on concentrations of total VFA and NH4+, proportions of acetate, propionate, butyrate, isovalerate, valerate, and the ratio of acetate to propionate. Percentages of microbial N synthesis in effluent pellets were not affected by supplementing Lys and Met. The combination of 0.52% Met and 1.03% (90% DM) Lys resulted in the highest concentration of total VFA, second highest concentration of NH4+, and lowest ratio of acetate to propionate with no decrease in the microbial CP production. In the in vivo study, supplementing 0.29% Met and 2.27% Lys (100% DM) had no impact on mean DMI, OMI, milk yield, milk component production or percentage, SCCS, 4% FCM and ECM production efficiencies, or body weight gain. Although DMI for the treatment group was numerically lower than the control group, milk yield, % milk fat, and % milk protein for the treatment group were numerically higher than the control group and resulted in numerically higher 4% FCM and ECM efficiencies for cows received AA supplementation. There was a statistical interaction of treatment and day observed on DMI, OMI, and 4% FCM and ECM production efficiencies indicating that the treatment group maintained a better production efficiency than the control group throughout the experiment. The concentration of ruminal NH4+ and the proportion of butyrate were increased, but proportions of acetate and valerate were decreased while the pH, total VFA, proportions of propionate, isobutyrate and isovalerate, and the ratio of acetate to propionate were not affected by supplementing AA

Development of a Small Intelligent Weather Station for Agricultural Applications

It is known that climate change causes a decrease in the profit gained from agricultural production. This work designs and establishes weather boxes equipped with functions of rainfall prediction, frosting forecast, and lightning detection. With the wireless connection and the build-in decision mode, weather boxes can deliver early-warning by sending texting messages to the users and actuating the corresponding action to response the extreme climate. To implement rainfall and frosting prognostication, two different datasets are analyzed by the technology of data mining. One of the datasets is acquired from the Central Weather Bureau, and the other is from the proposed weather box monitoring the agricultural environment. From the experimental results, the prediction model constructed from the data which is collected by the proposed weather box exhibits a higher accuracy in rainfall forecasting than those based on the Central Weather Bureau

Extending Bilingual WordNet via Hierarchical Word Translation Classification

PACLIC 23 / City University of Hong Kong / 3-5 December 200

A novel method to identify cooperative functional modules: study of module coordination in the Saccharomyces cerevisiae cell cycle

<p>Abstract</p> <p>Background</p> <p>Identifying key components in biological processes and their associations is critical for deciphering cellular functions. Recently, numerous gene expression and molecular interaction experiments have been reported in <it>Saccharomyces cerevisiae</it>, and these have enabled systematic studies. Although a number of approaches have been used to predict gene functions and interactions, tools that analyze the essential coordination of functional components in cellular processes still need to be developed.</p> <p>Results</p> <p>In this work, we present a new approach to study the cooperation of functional modules (sets of functionally related genes) in a specific cellular process. A cooperative module pair is defined as two modules that significantly cooperate with certain functional genes in a cellular process. This method identifies cooperative module pairs that significantly influence a cellular process and the correlated genes and interactions that are essential to that process. Using the yeast cell cycle as an example, we identified 101 cooperative module associations among 82 modules, and importantly, we established a cell cycle-specific cooperative module network. Most of the identified module pairs cover cooperative pathways and components essential to the cell cycle. We found that 14, 36, 18, 15, and 20 cooperative module pairs significantly cooperate with genes regulated in early G1, late G1, S, G2, and M phase, respectively. Fifty-nine module pairs that correlate with Cdc28 and other essential regulators were also identified. These results are consistent with previous studies and demonstrate that our methodology is effective for studying cooperative mechanisms in the cell cycle.</p> <p>Conclusions</p> <p>In this work, we propose a new approach to identifying condition-related cooperative interactions, and importantly, we establish a cell cycle-specific cooperation module network. These results provide a global view of the cell cycle and the method can be used to discover the dynamic coordination properties of functional components in other cellular processes.</p

THE EFFECT OF INSULIN AND CARBOHYDRATE SUPPLEMENTATION ON GLYCOGEN REPLENISHMENT AMONG DIFFERENT HINDLIMB MUSCLES IN RATS FOLLOWING PROLONGED SWIMMING

In the present study we investigated the interactive effects of insulin and carbohydrate on glycogen replenishment in different rat hindlimb muscles. Forty male Sprague Dawley rats were assigned to 5 groups, including 1) sedentary control with carbohydrate supplement (2 g glucose · kg body wt-1), 2) sedentary rats with 16 hours recovery, carbohydrate and insulin (0.5 U · kg body wt-1), 3) swimming without recovery, 4) swimming with 16 hours recovery and carbohydrate supplement, and 5) swimming with 16 hours recovery, carbohydrate and insulin. The swimming protocol consisted of two 3 h swimming sections, which were separated by a 45 min rest. The insulin and carbohydrate were administered to the rats immediately after exercise. At the end of the experiment, the soleus (S), plantaris (P), quadriceps (Q) and gastrocnemius (G) were surgically excised to evaluate glycogen utilization and replenishment. We observed that glycogen utilization was significantly lower in G and Q than S and P during swimming (p <0.05), and S showed the greatest capacity of glycogen resynthesis after post-exercise recovery (p <0.05). In the sedentary state, the glycogen synthesis did not differ among hindlimb muscles during insulin and carbohydrate treatments. Interestingly, with insulin and carbohydrate, the glycogen resynthesis in S and P were significantly greater than in Q and G following post-exercise recovery (p <0.05). We therefore concluded that the soleus and plantaris are the primary working muscles during swimming, and the greatest glycogen replenishment capacity of the soleus during post-exercise recovery is likely due to its highest insulin sensitivity

Using DMA to Simultaneously Acquire Young's Relaxation Modulus and Time-dependent Poisson's Ratio of a Viscoelastic Material

AbstractA method to obtain the Young's relaxation modulus and time-dependent Poisson's ratio simultaneously by using DMA is developed with the assumption of constant bulk modulus instead of constant Poisson's ratio. The constant bulk modulus is then calculated by either instantaneous response or the equilibrium response of the time-dependent Poisson's ratio. The modulating Young's moduli and characteristic times that measured by DMA are corrected analytically by using the developed formulas. The time-dependent Poisson's ratio is then obtained from the corrected modulating Young's moduli and the constant bulk modulus. As an application example, the method is applied to the DMA measurement of an epoxy molding compound (EMC). Although the correction to Young's relaxation modulus is very small, the viscoelastic Poisson's ratio varies significantly over time from 0.4 to 0.496, and can’t be assumed as a constant

Differential expression of centrosomal proteins at different stages of human glioma

BACKGROUND: High-grade gliomas have poor prognosis, requiring aggressive treatment. The aim of this study is to explore mitotic and centrosomal dysregulation in gliomas, which may provide novel targets for treatment. METHODS: A case-control study was performed using 34 resected gliomas, which were separated into low- and high-grade groups. Normal human brain tissue was used as a control. Using immunohistochemical analysis, immunofluorescent microscopy, and RT-PCR, detection of centrins 1 and 2, γ-tubulin, hNinein, Aurora A, and Aurora B, expression was performed. Analysis of the GBM8401 glioma cell line was also undertaken to complement the in vivo studies. RESULTS: In high-grade gliomas, the cells had greater than two very brightly staining centrioles within large, atypical nuclei, and moderate-to-strong Aurora A staining. Comparing with normal human brain tissue, most of the mRNAs expression in gliomas for centrosomal structural proteins, including centrin 3, γ-tubulin, and hNinein isoforms 1, 2, 5 and 6, Aurora A and Aurora B were elevated. The significant different expression was observed between high- and low-grade glioma in both γ-tubulin and Aurora A mRNA s. In the high-grade glioma group, 78.6% of the samples had higher than normal expression of γ-tubulin mRNA, which was significantly higher than in the low-grade glioma group (18.2%, p < 0.05). CONCLUSIONS: Markers for mitotic dysregulation, such as supernumerary centrosomes and altered expression of centrosome-related mRNA and proteins were more frequently detected in higher grade gliomas. Therefore, these results are clinically useful for glioma staging as well as the development of novel treatments strategies

Algorithmic Views of Vectorized Polynomial Multipliers -- NTRU

The lattice-based post-quantum cryptosystem NTRU is used by Google for protecting Google’s internal communication. In NTRU, polynomial multiplication is one of bottleneck. In this paper, we explore the interactions between polynomial multiplication, Toeplitz matrix–vector product, and vectorization with architectural insights. For a unital commutative ring $R$, a positive integer $n$, and an element $\zeta \in R$, we reveal the benefit of vector-by-scalar multiplication instructions while multiplying in $R[x] / \langle x^n - \zeta \rangle$. We aim at designing an algorithm exploiting no algebraic and number–theoretic properties of $n$ and $\zeta$. An obvious way is to multiply in $R[x]$ and reduce modulo $x^n - \zeta$. Since the product in $R[x]$ is a polynomial of degree at most $2n − 2$, one usually chooses a polynomial modulus $g$ such that (i) $deg(g) \geq 2n − 1$, and (ii) there exists a well-studied fast polynomial multiplication algorithm f for multiplying in $R[x] / \langle g \rangle$. We deviate from common approaches and point out a novel insight with dual modules and vector-by-scalar multiplications. Conceptually, we relate the module-theoretic dual of $R[x] / \langle x^n - \zeta \rangle$ and $R[x] / \langle g \rangle$ with Toeplitz matrix-vector products, and demonstrate the benefit of Toeplitz matrix-vector products with vector-by-scalar multiplication instructions. It greatly reduces the register pressure, and allows us to multiply with essentially no permutation instructions that are commonly used in vectorized implementation. We implement the ideas for the NTRU parameter sets ntruhps2048677 and ntruhrss701 on a Cortex-A72 implementing the Armv8.0-A architecture with the single-instruction-multiple-data (SIMD) technology Neon. For polynomial multiplications, our implementation is 2.18× and 2.23× for ntruhps2048677 and ntruhrsss701 than the state-of-the-art optimized implementation. We also vectorize the polynomial inversions and sorting network by employing existing techniques and translating AVX2-optimized implementations into Neon. Compared to the state-of-the-art optimized implementation, our key generation, encapsulation, and decapsulation for ntruhps2048677 are 7.67×, 2.48×, and 1.77× faster, respectively. For ntruhrss701, our key generation, encapsulation, and decapsulation are 7.99×, 1.47×, and 1.56× faster, respectively