Clinical characteristics and therapeutic procedure for a critical case of novel coronavirus pneumonia treated with glucocorticoids and non-invasive ventilator treatment

The novel coronavirus pneumonia (NCP) outbreak occurred in Wuhan, China at the end of 2019. Here, we report the clinical characteristics and therapeutic procedure for a case of severe NCP. The patient was started on glucocorticoids and non-invasive ventilator treatment. After treatment, the patient’s symptoms improved, and the status was confirmed as NCP negative. Our results may provide clues for the treatment of NCP

Effects of Different Inducers on Higher Alcohol Dehydrogenase from Galactomyces geotrichum

The inducers of the chemical or physical factors could affect the gene expression and transcription of strain directly or indirectly. In order to explore the inductive effect of higher alcohol on Galactomyces geotrichum, the G. geotrichum S12, derived from the soil, was induced by five higher alcohols, including n-propanol, n-butanol, isobutanol, n-hexanol and isoamyl alcohol. The effects of induction dose and induction time for degradation activity of different higher alcohols by strain S12 and its transforming enzyme were studied. The results showed that the enzyme activity formed by strain S12 was higher when the inducers were chosen as n-hexanol and isobutanol. The optimum induction time was 6 h when n-propanol, n-butanol, isobutanol and n-hexanol were used as inducers. While the optimum induction time of strain S12 and enzyme induced by isoamyl alcohol was 12 h. When n-propanol and n-hexanol were used as inducers, the optimal concentration was 1.5 g/L. While the optimal concentrations of strain S12 and enzyme induced by n-butanol, isobutanol and isoamyl alcohol were 1.0, 0.5 and 2.5 g/L, respectively. The results of native polyacryplamide gel electrophoresis (Native-PAGE) indicated that dehydrogenase formation, molecular weight about 223 kDa, was induced by five higher alcohols. In particular, the strain, induced by hexanol, had much higher capability in degrading five higher alcohols at the same time. The products of the above five higher alcohols after catalyzing by G. geotrichum S12 induced by hexanol were their corresponding acids and esters

Real-time power system dispatch scheme using grid expert strategy-based imitation learning

With large-scale grid integration of renewable energy sources (RES), power grid operations gradually exhibit the new characteristics of high-order uncertainty, leading to significant challenges for system operational security. Traditional model-driven generation dispatch methods require large computational resources, whereas the widely concerned Reinforcement Learning (RL)-based methods lead to issues such as slow training speed due to the high complexity and dimension of processed grid state information. For this reason, this paper proposes a novel Grid Expert Strategy Imitation Learning (GESIL)-based real-time (5 min intervals in this paper) dispatch method. Firstly, a grid model is established based on the graph theory. Secondly, a pure rule-based grid expert strategy (GES) considering detailed power grid operations is proposed. Then, the GES is combined with the established model to obtain a GESIL agent using imitation learning by offline–online training, which can produce specific grid dispatch decisions for real-time. By designing a graph theory-based grid model, a model-driven purely rule-based GES, and embedding a penalty factor-based loss function into IL offline–online training, GESIL ultimately achieves high training speed, high solution speed, and strong generalization capability. A modified IEEE 118-node system is employed to compare the proposed GESIL to traditional dispatch method and RL method. Results show that GESIL has significantly improved computational efficiency by approximately 17 times and training speed by 14.5 times. GESIL can more stably and efficiently compute real-time dispatch decisions of grid operations, enhancing the optimization effect in terms of transmission overloading mitigation, transmission loading optimization, and power balancing control

Buchnera breaks the specialization of the cotton-specialized aphid (Aphis gossypii) by providing nutrition through zucchini

The cotton aphid, Aphis gossypii Glover, is a species of polyphagous aphid with many biotypes, and its host transfer has always been the focus of research on the control of cotton aphid. An important factor affecting aphid specialization is the nutritional association with microbial symbionts that provide the host with nutrients lacking in the diet. We analyzed the microbial composition and biodiversity of reared on zucchini for 10 generations (T1–T10) and cotton as a control (CK), by high-throughput Illumina sequencing of 16S ribosomal RNA genes. The findings showed that the change in plant hosts decreased the richness and variety of microbial species. Regardless of whether the plant host is altered or not, Proteobacteria and Firmicutes are the predominate phyla in cotton-specialized aphid. Additionally, cotton-specialized aphids that live in zucchini had considerably lower relative abundances of non-dominant phyla (Bacteroidetes) than cotton hosts. At the genus level the dominant communities were Buchnera, Acinetobacter, and Arsenophonus. The relative abundance of Buchnera was significantly higher in aphids reared on zucchini than those on cotton, whereas the opposite was observed for Acinetobacter, as well as for some non-dominant communities (Stenotrophomonas, Pseudomons, Flavobacterium, Novosphingobium). Collectively, this study clarifies the dynamic changes of symbiotic bacteria in cotton-specialized aphids reared on zucchini for multiple generations. Among them, Buchnera is crucial for the cotton-specialized aphid to get nutrients during the transfer of the host and has a favorable impact on the colonization of cotton-specialized aphid populations on zucchini hosts. It not only enriches our understanding of the relationship between the bacterial microbiota of aphids and their adaptability to new hosts, zucchini, but also expands the current body of research on the mechanisms underlying the host shifting ability of cotton-specialized aphids

Sublethal and intergenerational effects of fipronil on Binodoxys communis larvae based on transcriptome sequencing

Fipronil is widely used in the agricultural world as an efficient phenylpyrazole insecticide to control pests. Binodoxys communis is a key parasitic natural enemy of major homopteran pests and can successfully control the population of pests such as cotton aphids. It has not yet been studied what effects would sublethal doses of fipronil have on Binodoxys communis larvae. Here, this study evaluated the effect of fipronil on Binodoxys communis larvae and analyze the transcriptome results. The results showed that LC10 (1.19 mg/L) and LC25 (1.73 mg/L) had significant negative effects on the survival rate and parasitism rate of F0 generation. Moreover, exposure to high concentrations (LC25) of fipronil still had obvious passive effect on the F1 generation of Binodoxys communis. These results indicated that sublethal doses of fipronil have malignant effects on the biological functions of parasitoids and their offspring. The results of transcriptome analysis showed that differentially expressed genes (DEGs) of Binodoxys communis after LC10 treatment are mainly related to immunity and detoxification. LC25 treatment instead resulted in changes in the expression of genes related to nutrition, energy and metabolism reactions. Seven of the identified DEGs were selected for real-time fluorescence quantitative PCR analysis. To the best of our knowledge, this is the first report to evaluate the sublethal, intergenerational, and transcriptomic side effects of fipronil on larvae of parasitic natural pest enemies. Our findings provide data to accurately assess the risk of fipronil usage on Binodoxys communis larvae, and provide important theoretical support for the comprehensive prevention and control of natural enemies and pesticides

A New Coupled Awareness-Epidemic Spreading Model with Neighbor Behavior on Multiplex Networks

In this paper, we propose a nonlinear coupled model to study the two interacting processes of awareness diffusion and epidemic spreading on the same individual who is affected by different neighbor behavior status on multiplex networks. We achieve this topology scenario by two kinds of factors, one is the perception factor that can change interplay between different layers of networks and the other is the neighbors’ behavior status that can change the infection rate in each layer. According to the microscopic Markov chain approach (MMCA), we analyze the dynamical evolution of the system and derive the theoretical epidemic threshold on uncorrelated heterogeneous networks, and then, we validate the analysis by numerical simulation and discuss the final size of awareness diffusion and epidemic spreading on a scale-free network. With the outbreak of COVID-19, the spread of epidemic in China prompted drastic measures for transmission containment. We examine the effects of these interventions based on modeling of the awareness-epidemic and the COVID-19 epidemic case. The results further demonstrate that the epidemic spreading can be affected by the effective transmission rate of the awareness and neighbors’ behavior status

Does varicocele grade predict the postoperative changes of semen parameters following left inguinal micro-varicocelectomy?

Objective: To evaluate the relationship between preoperative grade and postoperative changes of semen parameters following left inguinal varicocelectomy. Methods: This study included 44 patients undergoing left microsurgical inguinal varicocelectomy. Internal spermatic veins were classified as large (4 mm or more in diameter), medium (2–4 mm), or small (2 mm or less). Changes in sperm activity, morphology and count were estimated perioperatively. The introperative findings and semen parameters were compared between varicocele groups of grades 2 and 3. Results: Both sperm motility and count improved significantly postoperatively (from (31.9 ± 16.3)% to (47.3  ± 15.5)%, from (28.1 ± 28.1) × 106/mL to (52.1 ± 74.2) × 106/mL). In varicoceles with grade 2 and 3, significant differences were found in the number of large veins (0.4 ± 0.6 vs. 1.2 ± 0.7, p < 0.001) and ultrasonographic maximum diameters of spermatic vein in supine and standing positions (2.3 ± 0.4 cm vs. 2.8 ± 0.6 cm, 3.1 ± 0.7 cm vs. 3.9 ± 0.7 cm, p = 0.001 and 0.001 respectively). However no difference of changes in sperm motility and count was detected ((16.3  ±  13.5)% vs. (14.4  ±  12.6)%, (30.5 ± 84.4) × 106/mL vs. (12.9 ± 20.6) × 106/mL respectively, p = 0.65 and 0.40 respectively). Conclusion: Preoperative varicocele grade might not predict postoperative semen changes regardless of possible existence of anatomic and ultrasonographic associations

Impact of Mega Constellations on Geospace Safety

The extent of the impact of mega constellations on the low-orbiting geospace environment, which has not yet been assessed in more concrete quantitative terms, is an extremely important issue to consider as mega constellations are built. Satellite safety and lifetime can clearly represent the situation of space targets, and thus can reflect the impact of mega constellations on geospace security. Three target satellites with different characteristics were selected and the Accepted Collision Probability Level (ACPL) was calculated to obtain the impact of Starlink on satellite mission lifetime. Upon considering Starlink without early avoidance control, the lifetimes of the three target satellites were shortened by 56.21%, 99.09%, and 99.82%, respectively. After 10 revolutions of early avoidance control, two were shortened to 92.166% and 91.99%, while the lifetime of JILIN-01 was extended by 155.44%. After joining Starlink, the total risk became larger; even if the target satellite avoided control far more frequently than before joining Starlink, it will face a worse geospace environment. Adopting the most aggressive orbit avoidance control cannot avoid the deterioration of the geospace environment from the perspective of satellite lifetime, which is an irreversible and deteriorating process