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ABSTRACTTechnologies are essential for reducing environmental impact and increasing agricultural productivity. Previous adoption studies indicate several socioeconomic, technological, and institutional variables influencing the adoption of agricultural technologies. With less than a decade to the United Nation's sustainable development agenda for 2030, there are yet reports on farmers' resistance to sustainable agricultural technologies. Using a survey and multistage sampling procedure in selecting the respondents of 405 smallholder Chinese farmers, the study models farmers' adoption intensity of sustainable agricultural technologies and their impact on productivity. A 5-point Likert scale was used to analyse farmers' SAT perception levels. The PSM was used to eliminate a major proportion of bias when estimating a more precise treatment effect or impact of SAT adoption on productivity. The findings showed that farmers have mixed perceptions (positive and negative) about SAT adoption, which is reflected in their adoption decisions. The study found that family members as extension officers positively impacted farmers' adoption behaviour. On the contrary, regular visits by agricultural extension services had no impact on farmers' adoption behaviour, but positive on productivity. The results clearly showed elements of constraints in farmers' decision-making. The ATT results showed a significant and positive impact of SATs' adoption on productivity.

Leaf spreading is a key processing step that affects the aroma formation of green tea. The effects of a single-light wavelength on the aroma and taste of tea have been extensively studied. Less attention has been paid to the effect of different complex light intensities on the formation of green tea’s volatile aroma during leaf spreading. The current study was designed to evaluate how leaf spreading under different complex light intensities relates to the quality of green tea. Using headspace solid-phase micro-extraction and gas chromatography-mass spectrometry (HS-SPME/GC-MS), volatile flavor compounds in green tea were analyzed during leaf spreading in five different light conditions. Multivariate statistical analysis and odor activity values (OAVs) were used to classify these samples and identify key odors. Eight distinct groups, including ninety volatile compounds, were detected. The most prevalent volatile compounds found in green tea samples were hydrocarbons and alcohols, which accounted for 29% and 22% of the total volatile compounds, respectively. Fourteen volatile compounds (OAV > 1) were identified as key active differential odorants. The chestnut-like aroma in green tea was mostly derived from 3-methyl-butanal and linalool, which were significantly accumulated in medium-intensity light (ML).

Accumulating evidence indicates that the microbes colonizing human bodies have crucial effects on human health and the discovery of disease-related microbes will promote the discovery of biomarkers and drugs for the prevention, diagnosis, treatment, and prognosis of diseases. However clinical experiments of disease-microbe associations are time-consuming, laborious and expensive, and there are few methods for predicting potential microbe-disease association. Therefore, developing effective computational models utilizing the accumulated public data of clinically validated microbe-disease associations to identify novel disease-microbe associations is of practical importance. We propose a novel method based on the KATZ model and Bipartite Network Recommendation Algorithm (KATZBNRA) to discover potential associations between microbes and diseases. We calculate the Gaussian interaction profile kernel similarity of diseases and microbes based on validated disease-microbe associations. Then, we construct a bipartite graph and execute a bipartite network recommendation algorithm. Finally, we integrate the disease similarity, microbe similarity and bipartite network recommendation score to obtain the final score, which is used to infer whether there are some novel disease-microbe interactions. To evaluate the predictive power of KATZBNRA, we tested it with the walk length 2 using global leave-one-out cross validation (LOOV), two-fold and five-fold cross validations, with AUCs of 0.9098, 0.8463 and 0.8969, respectively. The test results also show that KATZBNRA is more accurate than two recent similar methods KATZHMDA and BNPMDA.

Technologies are essential for reducing environmental impact and increasing agricultural productivity. Previous adoption studies indicate several socioeconomic, technological, and institutional variables influencing the adoption of agricultural technologies. With less than a decade to the United Nation's sustainable development agenda for 2030, there are yet reports on farmers' resistance to sustainable agricultural technologies. Using a survey and multistage sampling procedure in selecting the respondents of 405 smallholder Chinese farmers, the study models farmers' adoption intensity of sustainable agricultural technologies and their impact on productivity. A 5-point Likert scale was used to analyse farmers' SAT perception levels. The PSM was used to eliminate a major proportion of bias when estimating a more precise treatment effect or impact of SAT adoption on productivity. The findings showed that farmers have mixed perceptions (positive and negative) about SAT adoption, which is reflected in their adoption decisions. The study found that family members as extension officers positively impacted farmers' adoption behaviour. On the contrary, regular visits by agricultural extension services had no impact on farmers' adoption behaviour, but positive on productivity. The results clearly showed elements of constraints in farmers' decision-making. The ATT results showed a significant and positive impact of SATs' adoption on productivity. [ABSTRACT FROM AUTHOR]

In order to investigate the effect of benzothiadiazole (BTH) and β-aminobutyric acid (BABA) on the resistance of tea plants (Camellia sinensis) to tea geometrid (Ectropis obliqua), three levels each of benzothiadiazole (BTH) and β-aminobutyric acid (BABA) were sprayed on 10-year-old tea plants. Generally PPO and PAL activities increased with low concentrations of BTH and BABA treatments. Quantitative RT-PCR revealed a 1.43 and 2.72-fold increase in PPO gene expression, and 3.26 and 3.99-fold increase in PAL gene expression with 75 mg/L BTH and 400 mg/L BABA respectively. Analysis of hydrolysis of synthetic substrates also revealed that chymotrypsin-like enzyme activity present in larval midgut extracts was not significantly inhibited by BTH and BABA. However, proteinase activity was found to be inversely proportional to the age of tea geometrid. Larvae pupation rate decreased by 8.10, 10.81 and 21.62% when tea geometrid were fed with leaves treated with 25, 50 and 75 mg/L BTH solutions, while 100, 200 and 400 mg/L BABA solutions decreased same by 8.10, 16.21 and 13.51% respectively. Also, larvae development period delayed to 23.33 and 26.33 days with 75 mg/L BTH and 400 mg/L BABA treatments respectively. The results in this study; therefore, suggest that benzothiadiazole (BTH) and β-aminobutyric acid (BABA) play a role in inducing resistance in tea plants to tea geometrid, with the optimal effect achieved at BTH-3 (75 mg/L) and BABA-3 (400 mg/L), respectively.

Nogo-66 receptor (NgR), a common receptor for the three known myelin-associated inhibitors, i.e., Nogo-A, myelin-associated glycoprotein (MAG), and oligodendrocyte myelin glycoprotein (OMgp), plays a key role in the failure of axonal regeneration in the adult mammalian central nervous system (CNS). Here we report a novel vaccine approach that stimulates the production of anti-NgR antibody to overcome NgR-mediated growth inhibition after spinal cord injury (SCI). We showed that adult rats immunized with recombinant NgR produced high titers of the anti-NgR antibody and that antisera obtained from the immunized rats promoted neurite outgrowth of rat cerebellar neurons on the inhibitory MAG substrate in vitro. In a spinal cord dorsal hemisection model, NgR immunization promoted regeneration of lesioned corticospinal tract (CST) axons, anterogradely labeled with biotin dextran amine (BDA), beyond the lesion site. In a contusive SCI model, NgR immunization markedly reduced the total lesion volume and improved Basso, Beattie, and Bresnahan (BBB) locomotor rating scale and grid walking performance. Thus, the NgR vaccine approach may represent a promising repair strategy to promote structural and functional recovery following SCI.

Background: Visceral pain is common symptom involved in many gastrointestinal disorders such as inflammatory bowel disease. The underlying molecular mechanisms remain elusive. We investigated the molecular mechanisms and the role for voltage gated calcium channel (VGCC) in the pathogenesis in a rat model of 2,4,6-trinitrobenzenesulfonic acid (TNBS) induced visceral inflammatory hypersensitivity. Results: Using Agilent cDNA arrays, we found 172 genes changed significantly in dorsal root ganglia (DRG) of TNBS treated rats. Among these changed genes, Cav1.2 and Cav2.3 were significantly up-regulated. Then the RT-PCR and Western blot further confirmed the up-regulation of Cav1.2 and Cav2.3. The whole cell patch clamp recording of acutely dissociated colonic specific DRG neurons showed that the peak /Ba density was significantly increased in colonic neurons of TNBS treated rats compared with control rats (-127.82 ± 20.82 pA/pF Vs -91.67 ± 19.02 pA/pF, n = 9, "P < 0.05). To distinguish the different type of calcium currents with the corresponding selective channel blockers, we found that L-type (-38.56 ± 3.97 pA/pF Vs -25.75 ± 3.35 pA/pF, n = 9, " P < 0.05) and R-type (-13.31 ± 1.36 pA/pF Vs -8.60 ± 1.25 pA/pF, n = 9, " P < 0.05) calcium current density were significantly increased in colonic DRG neurons of TNBS treated rats compared with control rats. In addition, pharmacological blockade with L-type antagonist (nimodipine) and R-type antagonist (SNX-482) with intrathecal injection attenuates visceral pain in TNBS induced inflammatory visceral hypersensitivity. Conclusion: Cav1.2 and Cav2.3 in colonic primary sensory neurons play an important role in visceral inflammatory hyperalgesia, which maybe the potential therapeutic targets. [ABSTRACT FROM AUTHOR]

Folding, assembly, and trafficking of ion channels are tightly controlled processes and are important for biological functions relevant to health and disease. Here, we report that functional expression of the Eag channel is temperature-sensitive by a mechanism that is independent of trafficking or surface targeting of the channel protein. Eag channels in cells grown at 37 °C exhibit voltage-evoked gating charge movements but fail to conduct K+ ions. By mutagenesis and chimeric channel studies, we show that the N- and C-terminal regions are involved in controlling a step after movement of the voltage sensor, as well as in regulating biophysical properties of the Eag channel. Synthesis and assembly of Eag at high temperature disrupt the ability of these domains to carry out their function. These results suggest an important role of the intracellular regions in the generation of Eag currents. [ABSTRACT FROM AUTHOR]

Researches on embeddings of graphs on the projective plane have significance to determine the total genus distributions of graphs. Based on the embedding model of joint tree, this paper calculated the embedding number of the circular graph C(2n + 1, 2)(n ⩾ 2) on the projective plane. Therefore, embeddings of K5 on the projective plane is solved. [ABSTRACT FROM AUTHOR]