Successful treatment of severe pityriasis rubra pilaris with secukinumab in a 3-year-old boy.

Pityriasis rubra pilaris (PRP) is a rare, scaly, keratotic inflammatory skin disease characterized by red scaly patches, keratosis papules, palmoplantar keratoderma and scaling of the scalp. In severe cases, ectropion of the eyelid may occur, and erythroderma may further develop. Recently, it has been reported that secukinumab, a monoclonal anti-interleukin-17A antibody, has certain efficacy in the treatment of PRP. Herein, we report a 3-year-old Chinese boy with severe Type III (classic juvenile) PRP who was successfully treated with secukinumab alone.

[Recent research advances of 1-deoxynojirimycin and its derivatives].

The 1-DNJ named 1-deoxynojirimycinis (2R,3R,4R,5S)-2-(hydroxymethyl) piperidine-3,4,5-triol, which is the nature active components existingin mulberryresources including leaves, stems, roots and silkworm larva, silkworm chrysalis, etc.The 1-deoxynojirimycin is a polyhydroxylated piperidine alkaloid, which was first found in Streptomyces as an antibiotic. Then the Japanese researchers isolated it from the mulberry root. 1-DNJ can inhibit postprandial hyperglycemia by suppressing intestinal alpha glucosidase. Therefore, 1-DNJ is often used to treat treating diabetes and complicating disease and to prevent obesity and weight-related disorders. With the development of the researches, 1-deoxynojirimycin and its derivtiv was discovered to possess anti-hyperglycemic, anti-virus, anti-tumor functions and so on. Therefore,based on our current studythe existing knowledge on source, technique preparation process, pharmacokinetics, bioactivties,and in silico target fishing of 1-DNJ were summarized, so that the researchers may use it to explore future perspective of research on 1-DNJ.

[The effects of sesame/peanut intercropping on photosynthetic fluorescence characteristics in functional leaf of sesame.] / èŠéº»ä¸ŽèŠ±ç”Ÿé—´ä½œå¯¹èŠéº»åŠŸèƒ½å¶å ‰åˆè§å ‰ç‰¹æ€§çš„å½±å“.

To unravel functional leaf photosynthetic mechanisms underlying enhanced yield of sesame in sesame/peanut intercropping, a field experiment was carried out in 2017 and 2018 with four treatments including (1) three-row sesame intercropped with six-row peanut (IC 3:6), (2) two-row sesame intercropped with four-row peanut (IC 2:4), (3) sole cropped sesame (SS), and (4) sole cropped peanut (SP). We measured the parameters of gas exchange, characteristics of photosynthetic response curve to light and CO2, and characteristics of chlorophyll rapid fluorescence induction kinetic curves of the functional leaves of sesame. The results showed that the partial land equivalent ratio of intercropped sesame was greater than 1/3. The light saturation point (Isat), maxi-mum net photosynthetic rate (Pn max), maximum electron transport rate (Jmax), triose phosphate utilization rate (TPU), maximum carboxylation rate of Rubisco (Vc max) were increased significantly under intercropping. Further, absorption energy flux per CS (ABS/CSo), trapping energy flux per CS (TRo/CSo), number of active reaction centers per CS (RC/CSm), and electron transport flux per CS (ETo/CSo) in intercropped treatments were enhanced compared to that under sesame monoculture. However, the ratio between variable fluorescence Fk to amplitude Fj-Fo (Wk) and ratio between variable fluorescence Fj to amplitude Fp-Fo (Vj) in functional leaves of intercropped sesame were significantly decreased. The efficiency of converting light energy into electricity of PS2 reaction center (Ψo), electron transfer efficiency from PS2 to end acceptor of PS1 (ΨRo), electron transfer efficiency of the electron transport chain (δR), PS1 photochemical activity, and the coordination between PS2 and PS1 in functional leaves of intercropped sesame were increased. The net photosynthetic rate (Pn), stomatal conductance (gs), transpiration rate (Tr), Pn max, Jmax, Vc max, TPU, Ψo, ΨRo and δR were significantly higher in IC 3:6 than those in IC 2:4. We conclude that intercropping improves net photosynthetic rate and yield of sesame by increasing light absorption, electronic transmission, activity of PS2 donator/receptor sides, and CO2 fixation, with stronger effects in IC 3:6 than IC 2:4.

Fault detection, isolation, and diagnosis of status self-validating gas sensor arrays.

The traditional gas sensor array has been viewed as a simple apparatus for information acquisition in chemosensory systems. Gas sensor arrays frequently undergo impairments in the form of sensor failures that cause significant deterioration of the performance of previously trained pattern recognition models. Reliability monitoring of gas sensor arrays is a challenging and critical issue in the chemosensory system. Because of its importance, we design and implement a status self-validating gas sensor array prototype to enhance the reliability of its measurements. A novel fault detection, isolation, and diagnosis (FDID) strategy is presented in this paper. The principal component analysis-based multivariate statistical process monitoring model can effectively perform fault detection by using the squared prediction error statistic and can locate the faulty sensor in the gas sensor array by using the variables contribution plot. The signal features of gas sensor arrays for different fault modes are extracted by using ensemble empirical mode decomposition (EEMD) coupled with sample entropy (SampEn). The EEMD is applied to adaptively decompose the original gas sensor signals into a finite number of intrinsic mode functions (IMFs) and a residual. The SampEn values of each IMF and the residual are calculated to reveal the multi-scale intrinsic characteristics of the faulty sensor signals. Sparse representation-based classification is introduced to identify the sensor fault type for the purpose of diagnosing deterioration in the gas sensor array. The performance of the proposed strategy is compared with other different diagnostic approaches, and it is fully evaluated in a real status self-validating gas sensor array experimental system. The experimental results demonstrate that the proposed strategy provides an excellent solution to the FDID of status self-validating gas sensor arrays.