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Dexamethasone is the first and an important therapy that significantly reduces the risk of death in patients with severe COVID-19 disease. Nevertheless, a lot of studies have revealed that it has adverse impacts on multiple systems of the body especially the reproductive system, and dexamethasone exposure during the human foetal period may be associated with various diseases. In this paper, we reviewed the literature regarding the adverse effects of COVID-19 and dexamethasone administration on the reproductive system as well as related disease pathogenesis, in an attempt to clarify the potential harms of dexamethasone treatment in COVID-19 patients. Overall, we strongly support the application of dexamethasone as a pharmaceutical therapy in critical COVID-19 patients before a better therapy is developed, but the adverse side effects that may arise cannot be ignored. Our review will help medical professionals in the prognosis and follow-up of patients treated with dexamethasone. In addition, given that a considerable amount of uncertainty, confusion and even controversy that still remains, further studies and more clinical trials are urgently needed to improve the understanding of the parameters and the effects of dexamethasone on reproductive function of patients with severe acute respiratory syndrome coronavirus 2 infection.

Quasi-zero-stiffness (QZS) vibration isolator is widely used in low-frequency vibration isolation due to its high-static-low-dynamic-stiffness (HSLDS) characteristics. The complex nonlinear force of the QZS vibration isolator increases the difficulty of solving it while realizing the HSLDS characteristics. The typical analysis method is to use Taylor expansion to simplify the nonlinear force and make it approximate to polynomial form, which leads to inaccurate analysis results in the case of large excitation and small damping. Therefore, the modified incremental harmonic balance (IHB) method is used to directly analyze the dynamic characteristics of the QZS vibration isolator without simplification in this paper. The classical three-spring QZS vibration isolation model is used as the calculation example. The results are different from the previous approximate equation analysis results in three aspects: (1) There is no unbounded response of the system under displacement excitation; (2) Even harmonics and constant terms also exist in the response of the system and can lead to multiple solution intervals; (3) In the case of small damping and large excitation, both displacement excitation and force excitation have subharmonic resonance, reducing the vibration isolation performance of the system. In addition, the accuracy of the solution obtained by the IHB method is verified by the Runge-Kutta method. The accurate analysis method in this paper provides favorable theoretical support for the design and optimization of vibration isolators.

This study describes a successful case of preimplantation genetic testing for the monogenic disease (PGT-M) of methylmalonic acidemia (MMA). To avoid the transmission of pathogenic mutations and unnecessary pregnancy termination we applied next-generation sequencing (NGS)-based haplotyping on a couple with a previously deceased MMA offspring. After embryo preparation, all samples were amplified successfully by whole genome amplification. We performed preimplantation genetic testing for aneuploidy (PGT-A) to determine the copy number of embryos' chromosomes. PGT-A results showed five blastocysts (2, 11, 14, 15 and 16) with balanced chromosomes (46, XN). Two techniques were used for PGT-M. Sanger sequencing was used to detect the mutations of

Study on gas–liquid flow in stirred tank with two combinations of dual-impeller (six-bent-bladed turbine (6BT)+six-inclined-blade down-pumping turbine (6ITD), the six-bent-bladed turbine (6BT)+six-inclined-blade up-pumping turbine (6ITU)) was conducted using computational fluid dynamics (CFD) and population balance model (PBM) (CFD-PBM) coupled model. The local bubble size was captured by particle image velocimetry (PIV) measurement. The gas holdup, bubble size distribution and gas–liquid interfacial area were explored at different conditions through numerical simulation. The results showed that the 4 mm bubbles accounted for the largest proportion of 33% at the gas flow rates Q = 0.76 m3⋅h−1 and 22% at Q = 1.52 m3⋅h−1 for combined impeller of 6BT + 6ITU, while the bubbles of 4.7 mm and 5.5 mm were the largest proportion for 6BT + 6ITD combination, i.e. 25% at Q = 0.76 m3⋅h−1 and 22% at Q = 1.52 m3⋅h−1, respectively, which indicated that 6BT + 6ITU could reduce bubble size effectively and promote gas dispersion. In addition, the gas holdup around impellers was increased obviously with the speed compared with gas flow rate. So it was concluded that 6ITU impeller could be more conductive to the bubble dispersion with more uniform bubble size, which embodied the advantages of 6BT + 6ITU combination in gas–liquid mixing.

ImportanceThere is a lack of information regarding the need to postpone conception after COVID-19 vaccination.ObjectiveTo investigate the time interval between the first dose of inactivated COVID-19 vaccine and in vitro fertilization (IVF) treatment as well as the rate of pregnancy after a fresh embryo transfer.Design, Setting, and ParticipantsThis cohort study was conducted at a single public IVF center in China. Female patients aged 20 to 47 years and undergoing IVF treatment were consecutively registered from May 1 to December 22, 2021, with follow-up until March 31, 2022. Patients with SARS-CoV-2 infection before or during IVF treatment and those who underwent 2 or more IVF treatments, received the noninactivated or unknown COVID-19 vaccine, or did not have a fresh embryo transfer were excluded from this study.ExposuresThe vaccinated group (subdivided into 4 subgroups of time interval from first vaccination to fertilization treatment: ≤30 days, 31-60 days, 61-90 days, and ≥91 days) and nonvaccinated group.Main Outcomes and MeasuresRisk ratios (RRs) for the association between the time interval and ongoing pregnancy (pregnancy continued at least 12 weeks).ResultsA total of 3052 female patients (mean [SD] age, 31.45 [3.96] years) undergoing IVF treatment were analyzed in this study. There were 667 vaccinated patients receiving IVF (35 were vaccinated ≤30 days, 58 were vaccinated 31-60 days, 105 were vaccinated 61-90 days, and 469 were vaccinated ≥91 days before fertilization treatment), and 2385 unvaccinated patients receiving treatment. The ovarian stimulation and laboratory parameters were similar among all groups. Ongoing pregnancy was significantly lower in the 30 days or less subgroup (34.3% [12 of 35]; adjusted RR [aRR], 0.61; 95% CI, 0.33-0.91) and the 31 to 60 days’ subgroup (36.2% [21 of 58]; aRR, 0.63; 95% CI, 0.42-0.85). A slightly but not statistically lower rate was found in the 61 to 90 days’ subgroup, and no reduced risk for ongoing pregnancy in the 91 days or more subgroup was observed (56.3% [264 of 469]; aRR, 0.96; 95% CI, 0.88-1.04) compared with the unvaccinated group (60.3% [1439 of 2385], as reference).Conclusions and RelevanceFindings of this study suggest that receipt of the first inactivated COVID-19 vaccine dose 60 days or less before fertilization treatment is associated with a reduced rate of pregnancy. In patients undergoing IVF treatment with a fresh embryo transfer, the procedure may need to be delayed until at least 61 days after COVID-19 vaccination.

In the context of the coronavirus disease 2019 (COVID-19) pandemic, the global healthcare community has raced to find effective therapeutic agents against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). To date, dexamethasone is the first and an important therapeutic to significantly reduce the risk of death in COVID-19 patients with severe disease. Due to powerful anti-inflammatory and immunosuppressive effects, dexamethasone could attenuate SARS-CoV-2-induced uncontrolled cytokine storm, severe acute respiratory distress syndrome and lung injury. Nevertheless, dexamethasone treatment is a double-edged sword, as numerous studies have revealed that it has significant adverse impacts later in life. In this article, we reviewed the literature regarding the adverse effects of dexamethasone administration on different organ systems as well as related disease pathogenesis in an attempt to clarify the potential harms that may arise in COVID-19 patients receiving dexamethasone treatment. Overall, taking the threat of COVID­19 pandemic into account, we think it is necessary to apply dexamethasone as a pharmaceutical therapy in critical patients. However, its adverse side effects cannot be ignored. Our review will help medical professionals in the prognosis and follow-up of patients treated with dexamethasone. In addition, given that a considerable amount of uncertainty, confusion and even controversy still exist, further studies and more clinical trials are urgently needed to improve our understanding of the parameters and the effects of dexamethasone on patients with SARS-CoV-2 infection.

To identify whether the transfer of blastocysts that have been vitrified, thawed, biopsied, revitrified, and subsequently rethawed affects clinical outcome and neonatal outcome.A retrospective study was conducted in a single assisted reproduction technology center from September 2016 to March 2021. Women undergoing single frozen euploid blastocysts transfer were stratified into two groups based on number of vitrification-thawing cycles: single vitrification coupled with single biopsy (group A, n = 177) and double vitrification coupled with single biopsy (group B, n = 30). Pregnancy and perinatal outcomes of the two groups were compared.Clinical pregnancy rates were similar between the two groups. Group B was associated with an increased likelihood of live birth when compared with group A by different multivariable analysis models (model 1: odds ratio, 0.42 [95% confidence interval, 0.18-0.97], P = 0.041; model 2: odds ratio, 0.38 [95% confidence interval, 0.16-0.92], P = 0.033). No major obstetrical complication was reported in the two groups and only one malformation live birth was reported in group A.The procedure of double vitrification-warming cycles, coupled with single biopsy, increases pregnancy loss and ultimately diminishes live birth but does not affect perinatal outcome. Future studies with a larger sample size would help to validate the results.

Background: Luteinization hormone (LH) is critical in follicle growth and oocyte maturation. However, the value of recombinant-LH (r-LH) supplementation to recombinant-follicle stimulation hormone (r-FSH) during controlled ovarian stimulation in Gonadotrophin releasing hormone (GnRH) antagonist regimen is controversial. Methods: The multicenter retrospective cohort study recruited 899 GnRH antagonist cycles stimulated with r-LH and r-FSH in 3 reproductive centers, and matched to 2652 r-FSH stimulating cycles using propensity score matching (PSM) for potential confounders in a 1:3 ratio. The primary outcome was the cumulative live birth rate (CLBR) per complete cycle.Results: The baseline characteristics were comparable in the r-FSH/r-LH and r-FSH groups after PSM. The r-FSH/r-LH group achieved higher CLBR than the r-FSH group (66.95% VS 61.16%, p=0.006). R-LH supplementation also resulted in higher 2-pronuclear embryo rate, usable embryo rate, live birth rate in both fresh embryo transfer cycles and frozen-thawed embryo transfer (FET) cycles. No significant differences were found in the moderate and severe ovarian hyperstimulation syndrome (OHSS) rate, and cycle cancel rate in prevention of OHSS.Conclusions: R-LH supplementation to r-FSH in GnRH antagonist protocol was significantly associated with higher CLBR, live birth rate in fresh and FET cycles, and improved embryo quality without increasing OHSS rate and cycle cancel rate.

Nonlinear optical phenomena (NLOPs) in two-dimensional (2D) materials can be envisioned for neuromorphic functions at the device and related system level. But it has been attended rarely that transition among multi-energy states as one origin of NLOPs directly used for neuromorphic functions, which is assisted to understand nature of device-level nonlinear optical neuromorphic performance. Here we introduced a pump-probe-control technology to reveal multi-energy-state transition in multilayer molybdenum disulfide, enhancing nonlinear signals by transitions from two-photon absorption to synergistic excited states absorption and enabling an in-situ computing concept within an array of pure 2D flakes. Optical weighted average calculation and artificial neural network were realized without the fabrication of complex extrinsic structures, while preserving the femtosecond speed and femto-Joule power consumption, revealing the feasibility of pump-probe-control technology for nonlinear neuromorphic functions.

To examine the effect of pre-pregnancy maternal body mass index (BMI) on neonatal weight outcomes of twin infants who were conceived by assisted reproductive technology (ART). A 10-year (2006–2015) Chinese sample of 3431 mothers and their twin infants conceived by ART from a retrospective cohort were included. The effects of pre-pregnancy maternal BMI on gestational age and birth weight were assessed by generalized linear model and generalized estimating equation model. Compared with a normal weight group, pre-pregnancy maternal underweight was associated with lower birth weight and increased risk of small for gestational age (SGA) in twins conceived by ART (birth weight: difference −59.22 g, 95% CI −93.16 to −25.27 g; SGA: RR 1.25, 95% CI 1.09 to 1.43). Pre-pregnancy maternal obesity was associated with higher birth weight and increased risk of preterm birth (birth weight: difference 65.82 g, 95% CI 10.66 to 120.99 g; preterm birth: RR 1.19, 95% CI 1.03–1.37). A nonlinear relationship between pre-pregnancy maternal BMI and SGA was observed. The risk of SGA decreased with the pre-pregnancy maternal BMI up to the turning point (BMI = 21) (RR 0.90, 95% CI 0.86–0.95). Among mothers undergoing ART, pre-pregnancy maternal obesity is associated with higher birth weight and higher risk of preterm birth for twin pregnancy, and pre-pregnancy maternal underweight is associated with lower birth weight and higher risk of SGA. Women preparing for ART should maintain a normal BMI to lower the chances of adverse neonatal outcomes.

Objective: This study aimed to investigate the relationship between maternal blood glucose levels during pregnancy and neonatal birth outcomes in Northwest China. Methods: This population-based cohort study included 10,010 first-trimester pregnant women who joined the birth cohort of the Northwest Women’s and Children’s Hospital from July 2018 to July 2020. Basic demographic characteristics, lifestyle and behavior patterns were collected. Oral glucose tolerance test (OGTT) results during the second trimester and pregnancy outcomes after childbirth were also collected. A generalized linear model was constructed to analyze the effects of blood glucose levels on neonatal birth outcomes. Results: We found that every 1 mmol/L increase in fasting plasma glucose (FPG) was associated with an increase in birth weight (β = 100.22 g, 95% confidence interval (95%CI): 81.91, 118.52), birth weight Z score (β = 0.23, 95%CI: 0.19, 0.27) and birth weight Z centile (β = 6.72%, 95%CI: 5.51, 7.94). Moreover, the risk of macrosomia, premature birth and being born large for gestational age (LGA) increased by 2.01 (95%CI: 1.67, 2.43), 1.35 (95%CI: 1.09, 1.66) and 1.80 (95%CI: 1.57, 2.07) times, respectively. Additionally, for every 1 mmol/L increase in FPG associated with a decrease in gestational age (β = −0.12 weeks, 95%CI: −0.19, −0.06), the risk of SGA decreased by 0.70 (OR = 0.70, 95%CI: 0.55, 0.89) times. Every 1 mmol/L increase in 1/2-h PG had similar outcomes as FPG, besides premature birth and SGA. Conclusions: Higher blood glucose in pregnant women may increase neonatal birth weight, decrease gestational age and lead to a higher risk of macrosomia, premature birth and LGA. Mothers should actively prevent and control hyperglycemia to promote maternal and infant health.

PURPOSE: To investigate the relationship between different duration of estrogen administration and live birth rate (LBR) after autologous single frozen blastocyst transfer with hormone replacement therapy. METHODS: A total of 2026 frozen blastocyst transfer cycles in the assisted reproductive center of northwest women and children’s hospital from January, 2017, to August, 2020, were retrospectively analyzed. All the cycles were allocated into 3 groups according to the duration of estrogen administration: group A, 11–14 days (n = 346); group B, 15–18 days (n = 1191), and group C, ≥ 19 days (n = 489). Baseline data, clinical, and perinatal outcomes of the three groups were compared. A multivariate regression model was constructed to analyze the association between duration of estradiol administration and clinical outcomes. RESULTS: We did not observe a significant association between duration of estrogen supplementation and LBR in group B (adjusted odds ratio [aOR] 1.14; 95% confidence interval [CI], 0.89–1.45) or group C (aOR 1.16; 95% CI, 0.86–1.56) patients with group A as the reference group, through logistic regression analysis. No statistical differences were observed in perinatal outcomes among the three groups. CONCLUSION: The duration of estrogen administration was not associated with the likelihood of live birth in women undergoing frozen-thawed autologous single-blastocyst transfer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10815-022-02481-5.

Although interlayer binding energy (IBE) is a key parameter relevant to the electronic properties and device performances of hexagonal MoS2, a promising two-dimensional (2D) semiconductor, it has n...

Two-dimensional (2D) hexagonal boron nitride (h-BN) plays a significant role in nanoscale electrical and optical devices because of its superior properties. However, the difficulties in the controllable growth of high-quality films hinder its applications. One of the crucial factors that influence the quality of the films obtained via epitaxy is the substrate property. Here, we report a study of 2D h-BN growth on carburized Ni substrates using molecular beam epitaxy. It was found that the carburization of Ni substrates with different surface orientations leads to different kinetics of h-BN growth. While the carburization of Ni(100) enhances the h-BN growth, the speed of the h-BN growth on carburized Ni(111) reduces. As-grown continuous single-layer h-BN films are used to fabricate Ni/h-BN/Ni metal-insulator-metal (MIM) devices, which demonstrate a high breakdown electric field of 12.9 MV/cm.

Climate change poses a serious threat to biodiversity. Predicting the effects of climate change on the distribution of a species' habitat can help humans address the potential threats which may change the scope and distribution of species. Pterocarya stenoptera is a common fast‐growing tree species often used in the ecological restoration of riverbanks and alpine forests in central and eastern China. Until now, the characteristics of the distribution of this species' habitat are poorly known as are the environmental factors that influence its preferred habitat. In the present study, the Maximum Entropy Modeling (Maxent) algorithm and the Genetic Algorithm for Ruleset Production (GARP) were used to establish the models for the potential distribution of this species by selecting 236 sites with known occurrences and 14 environmental variables. The results indicate that both models have good predictive power. Minimum temperature of coldest month (Bio6), mean temperature of warmest quarter (Bio10), annual precipitation (Bio12), and precipitation of driest month (Bio14) were important environmental variables influencing the prediction of the Maxent model. According to the models, the temperate and subtropical regions of eastern China had high environmental suitability for this species, where the species had been recorded. Under each climate change scenario, climatic suitability of the existing range of this species increased, and its climatic niche expanded geographically to the north and higher elevation. GARP predicted a more conservative expansion. The projected spatial and temporal patterns of P. stenoptera can provide reference for the development of forest management and protection strategies., Minimum temperature of coldest month (Bio6), mean temperature of warmest quarter (Bio10), annual precipitation (Bio12), and precipitation of driest month (Bio14) were important environmental variables influencing the prediction of the Maxent model. Under each climate change scenario, climatic suitability of the existing range of this species increased, and its climatic niche expanded geographically toward farther north and higher elevation. The GARP predicted a more conservative expansion.

Direct tunneling and dielectric breakdown in molecular beam epitaxial hexagonal boron nitride (h-BN) monolayers were studied based on Ni/h-BN/Ni metal-insulator-metal (MIM) device structures. Effec...

Summary The diffuse-type gastric cancer (DGC) constitutes a subgroup of gastric cancer with poor prognosis and no effective molecular therapies. Here, we report a phosphoproteomic landscape of DGC derived from 83 tumors together with their nearby tissues. Based on phosphorylation, DGC could be classified into three molecular subtypes with distinct overall survival (OS) and chemosensitivity. We identified 16 kinases whose activities were associated with poor OS. These activated kinases covered several cancer hallmark pathways, with the MTOR signaling network being the most frequently activated. We proposed a patient-specific strategy based on the hierarchy of clinically actionable kinases for prioritization of kinases for further clinical evaluation. Our global data analysis indicates that in addition to finding activated kinase pathways in DGC, large-scale phosphoproteomics could be used to classify DGCs into subtypes that are associated with distinct clinical outcomes as well as nomination of kinase targets that may be inhibited for cancer treatments., Graphical Abstract, Highlights • A phosphoproteomic landscape of diffuse-type gastric cancer (DGC) was depicted • DGC could be classified into three subtypes based on phosphorylation data • A bioinformatics workflow was used to identify 16 kinases as potential drug targets • A patient-specific strategy for nomination of kinases was proposed, Biological Sciences; Cancer Systems Biology; Proteomics; Systems Biology

Photonic approach to generating linearly chirped waveforms with large time–bandwidth product (TBWP) is proposed and demonstrated. In the approach, a dual-output dual-parallel Mach–Zehnder modulator (DPMZM) is employed to generate dual-tone wavelengths in the two output ports. The polarization modulator (PolM) is employed to conduct complementary phase modulation of the dual-tone wavelengths. After driving PolM with parabolic signal, frequency-doubled chirped microwave waveform will be obtained from photodetector (PD). To enlarge the TBWP, parabolic waveform is split into time domain and convolved with binary sequences to increase the bandwidth and temporal duration of the generated signal simultaneously. Simulation results show that linearly chirped microwave waveforms with carrier frequency of 40 GHz, bandwidth of 12.5 GHz, time duration of 819.2 ns are generated. After splitting and code-convolving with binary sequence, TBWP of the generated signal is enlarged to 10,240. Pulse compression performances of the generated signal are analyzed, and structure stability is also investigated.

To compare the clinical outcome of fresh embryo transfer with frozen-thawed embryo transfer in subsequent cycle of GnRH antagonist protocol. Totally, 1430 women were enrolled from the cases of our Assisted Reproduction Center from January 2015 to January 2019 for this retrospective cohort study. The inclusion criteria of the subjects included women with ages under 40 years, 3–10 oocytes retrieved, good embryo quality according to gardener score, GnRH antagonist protocol, underwent first cycle of fresh embryo transfer or freeze-all strategy and transferred in subsequent cycle. However, the patients with endometriosis, PGD/PGS cycles, history of recurrent pregnancy loss and uterine pathology were excluded. 495 women of group I underwent fresh embryo transfer in first cycle and 935 patients of group II received frozen-thawed transfer in subsequent cycle. The primary outcome was clinical pregnancy rate. A logistic regression analysis was performed to determine the variables that could be independently associated with clinical pregnancy rate. Models were adjusted for covariates including patients’ age, fertilization type, infertility type, infertility duration, the number of oocytes retrieved, the number of embryos transferred and type of embryo transferred. Clinical pregnancy rate was significantly higher in frozen-thawed embryo transfer than in fresh embryo transfer (63.70% vs. 54.50%, p

Research question Is pre-pregnancy maternal underweight associated with perinatal outcomes of singletons who were conceived through assisted reproductive technology (ART)? Design A 10-year (2006–2015) Chinese sample of 6538 women and their singleton infants who were conceived through ART was used to examine the association between pre-pregnancy maternal underweight and perinatal outcomes. Propensity scores for underweight were calculated for each participant using multivariable logistic regression, which was used to match 740 (91.36% of 810) underweight women with 740 normal weight women; the effects of underweight on birth weight and gestational age were then assessed by generalized estimating equation model. Results After propensity score matching, the birth weight was lower (difference –136.83 g, 95% CI –184.11 to –89.55 g) in the underweight group than in the normal weight group. The risks of low birth weight (LBW) and small for gestational age (SGA) were increased in the underweight group compared with those in the normal weight group (LBW: RR 1.64, 95% CI 1.01 to 2.67; SGA: RR 1.46, 95% CI 1.06 to 2.02). The risks of fetal macrosomia and being large for gestational age (LGA) were decreased in the underweight group compared with those in the normal weight group (macrosomia: RR 0.39, 95% CI 0.26 to 0.61; LGA: RR 0.36, 95% CI 0.24 to 0.53). The associations between underweight, gestational age and preterm birth were not statistically significant. Conclusions Among women undergoing ART, pre-pregnancy maternal underweight was associated with lower birth weight, increased LBW and SGA risks, and decreased fetal macrosomia and LGA risks in singleton infants.

Spermatozoon represents a very special cell type in human body, and glycosylation plays essential roles in its whole life including spermatogenesis, maturation, capacitation, sperm-egg recognition, and fertilization. In this study, by mapping the most comprehensive N-glycoproteome of human spermatozoa using our recently developed site-specific glycoproteomic approaches, we show that spermatozoa contain a number of distinctive glycoproteins, which are mainly involved in spermatogenesis, acrosome reaction and sperm:oocyte membrane binding, and fertilization. Heavy fucosylation is observed on 14 glycoproteins mostly located at extracellular and cell surface regions in spermatozoa but not in other tissues. Sialylation and Lewis epitopes are enriched in the biological process of immune response in spermatozoa, while bisected core structures and LacdiNAc structures are highly expressed in acrosome. These data deepen our knowledge about glycosylation in spermatozoa and lay the foundation for functional study of glycosylation and glycan structures in male infertility.

The boundary layer structure is crucial to the formation and intensification of typhoons, but there is still a lack of high-precision turbulence observations in the typhoon boundary layer due to limitations of the observing instruments under typhoon conditions. Using joint observations from multiple ground-based Doppler wind lidars (DWL) collected by the Shanghai Typhoon Institute of China Meteorological Administration (CMA) during the transit of Typhoon Lekima (8–11 August 2019), the characteristics of the wind field and physical quantities (including turbulent kinetic energy (TKE) and typhoon boundary layer height (TBLH)) of the boundary layer of typhoon Lekima were analyzed. The magnitude of TKE was shown to be related not only to the horizontal wind speed but also to the presence of a strong downdraft, which leads to a rapid increase of TKE. The magnitudes of TKE in different quadrants of Typhoon Lekima were also found to differ. The TKE in the front right quadrant of the typhoon was 2.5–6.0 times that in the rear left quadrant and ~1.7 times that in the rear right quadrant. The TKE over the island was larger than that over the urban area. Before Typhoon Lekima made landfall, the TKE increased with decreasing distance to the typhoon center. After typhoon landfall, the TKE changes were different on the left and right sides of the typhoon center, with the TKE on the left decreasing rapidly, while that on the right changed little. The typhoon boundary layer height calculated by five methods was compared and was found to decrease gradually before typhoon landfall and increased gradually afterward. The trends of the TBLH calculated using helicity and TKE were consistent, and both determine the TBLH well, while the maximum tangential wind speed height (humax) was larger than the height calculated by other methods. This study confirms that DWL has a strong detecting capability for the finescale structure of the typhoon boundary layer and provides a powerful tool for the validation of numerical simulations of typhoon structure.

BackgroundRecent studies have demonstrated that both blastocoel fluid (BF) and spent cell culture media (SCM) have potential as materials for non-invasive or less-invasive pre-implantation genetic analysis. BF may allow more opportunity to obtain cell-free DNA from the inner cell mass (ICM), and it has a lower risk of containing contaminant DNA from cumulus cells, sperm and culture media. There are no data regarding the ICM as a gold standard to evaluate the chromosome constitution of BF or SCM for embryo liquid biopsy.MethodsTwo hundred eighteen donated human blastocysts were warmed and cultured in blastocyst culture media for 18–24 h. The corresponding SCM was collected, and only clear ICM was biopsied in blastocysts; otherwise, the whole blastocyst (WB) was biopsied. Quantitative PCR was performed to determine the DNA levels in the SCM and BF before and after amplification. ChromInst was used to amplify BF/SCM and blastocyst DNA before sequencing. Chromosomal copy number variation (CNV) was investigated to evaluate the chromosome constitution.ResultsIn total, 212 blastocysts were available for SCM and BF collection. The technical success rates (next-generation sequencing data) were 100 and 69.8% (148/212) for SCM and BF, respectively. Among the 148 blastocysts with both SCM and BF data, 101 were euploid and 47 were aneuploid based on ICM (n = 89) or WB (n = 59) analysis as the gold standard. Among all blastocysts, SCM was comparable to BF [specificity: 80.2 versus 61.4% (P = 0.005, χ2 test); sensitivity: 91.5 versus 87.2% (P = 0.738, χ2 test); negative predictive value (NPV): 95.3 versus 91.2% (P = 0.487, χ2 test); positive predictive value (PPV): 68.3% versus 51.3% (P = 0.042, χ2 test)]. The SCM and BF samples were 83.8% (124/148) and 69.6% (103/148) concordant with the corresponding ICM/WB samples when only two categories, euploid or aneuploid/mosaic, were grouped to calculate the concordance.ConclusionsCompared with BF, SCM has superior diagnostic performance, and it is non-invasive for embryos.Clinical Trial Registration[http://www.chictr.org.cn], identifier [ChiCTR-BPD-17014087].

Purpose A small number of risk prediction model have been previously reported to predict the infertility treatment success. While the studies of the risk prediction model for the patients with low prognosis are limited. This study aimed to construct and validate a nomogram for the prediction of cumulative live birth rate (CLBR) in patients with low prognosis from a single center database in Chinese population. Methods Clinical data of 4,395 patients with low prognosis, who received in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) therapy between 2014 and 2018, were retrieved and randomly divided into training (70%) and the external validation (30%) sets. Multivariate analysis with logistic regression model was conducted. Results Multivariate analyses showed that maternal age, body mass index (BMI), basal serum follicle-stimulating hormone (FSH) level, type of infertility, male factors, uterine factors, and usable embryos number at day 3 were risk factors for CLBR in patients with low prognosis. The area under the receiver operating characteristic curve (AUC) of the prediction model was 0.769 (95% confident interval (CI): 0.751, 0.787) in training set. The validation set presented good performance with an AUC of 0.749 (95% CI: 0.720, 0.778). In addition, Hosmer-Lemeshow chi-square value was 10.194 (P = 0.252). Conclusion We constructed and validated a nomogram for the prediction of CLBR in low prognosis patients with a single center database in Chinese population. The validated nomogram for the prediction of CLBR could be potentially applied in clinic for IVF counselling in patients with low prognosis.

Pulsed dye laser (PDL) is the first line treatment for port wine stain (PWS). However, only a small portion of the lesions could be completely cleared by PDL treatment, which might be related to the regeneration and revascularization of the vascular structures after laser irradiation. Recently, it is believed that the suppression of regeneration and revascularization of photocoagulated blood vessels can achieve a better therapeutic outcome. We use rabbit ear and SD rat as the animal models to investigate whether PDL-induced angiogenesis can be suppressed by topical metformin. Our results showed that topical application of metformin can effectively suppress the PDL-induced early stage of angiogenesis via inhibition of the AKT/mTOR/P70S6K pathway in animal models.

Dexamethasone has been widely used in clinical practice to promote fetal lung maturity and reduce neonatal respiratory distress syndrome and perinatal mortality. Nevertheless, its administration is a double-edged sword, as a large number of studies have shown that there are obvious disadvantages in pregnant women and fetal development. In this review, we comprehensively retrospect the latest literature on the toxicological effects and mechanisms of dexamethasone on fetal development, in an attempt to provide a valuable basis for further studies and clinical trials in the future. Overall, prenatal dexamethasone exposure could lead to some adverse consequences on fetal organ systems through intrauterine programming based on the results of current animal and human researches. Potential sequelae include osteoarthritis, hypertension, fatty liver, glomerulosclerosis, depression, diabetes and infertility, some of which can pass on to the next generation. It must be noted that the evidence in humans is preliminary and limited by the small sample size. More studies in large-scale populations are needed to confirm if it raises the risk of sequelae in humans. In addition, we strongly support the application of dexamethasone as a pharmaceutical therapy in pregnant women with coronavirus disease 2019 before a better therapy is developed. However, the adverse side effects that may arise also cannot be ignored.

Macrophages are involved in tissue homeostasis and are critical for innate immune responses, yet distinct macrophage populations in different tissues exhibit diverse gene expression patterns and biological processes. While tissue-specific macrophage epigenomic and transcriptomic profiles have been reported, proteomes of different macrophage populations remain poorly characterized. Here we use mass spectrometry and bulk RNA sequencing to assess the proteomic and transcriptomic patterns, respectively, of 10 primary macrophage populations from seven mouse tissues, bone marrow-derived macrophages and the cell line RAW264.7. The results show distinct proteomic landscape and protein copy numbers between tissue-resident and recruited macrophages. Construction of a hierarchical regulatory network finds cell-type-specific transcription factors of macrophages serving as hubs for denoting tissue and functional identity of individual macrophage subsets. Finally, Il18 is validated to be essential in distinguishing molecular signatures and cellular function features between tissue-resident and recruited macrophages in the lung and liver. In summary, these deposited datasets and our open proteome server (http://macrophage.mouseprotein.cn) integrating all information will provide a valuable resource for future functional and mechanistic studies of mouse macrophages.

Pathogens that cause respiratory diseases in poultry are highly diversified, and co-infections with multiple pathogens are prevalent. The H9N2 strain of avian influenza virus (AIV) and Escherichia coli (E. coli) are common poultry pathogens that limit the development of the poultry industry. This study aimed to clarify the interaction between these two pathogens and their pathogenic mechanism using a mouse model. Co-infection with H9N2 AIV and E. coli significantly increased the mortality rate of mice compared to single viral or bacterial infections. It also led to the development of more severe lung lesions compared to single viral or bacterial infections. Co-infection further causes a storm of cytokines, which aggravates the host’s disease by dysregulating the JAK/STAT/SOCS and ERK1/2 pathways. Moreover, co-infection mutually benefited the virus and the bacteria by increasing their pathogen loads. Importantly, nitric oxide synthase 2 (NOS2) expression was also significantly enhanced by the co-infection. It played a key role in the rapid proliferation of E. coli in the presence of the co-infecting H9N2 virus. Therefore, our study underscores the role of NOS2 as a determinant for bacteria growth and illustrates its importance as an additional mechanism that enhances influenza virus-bacteria synergy. It further provides a scientific basis for investigating the synergistic infection mechanism between viruses and bacteria.

Are there greater risks of adverse perinatal outcomes, in particular of congenital malformations, after blastocyst transfer compared with cleavage-stage embryo transfer in IVF?This was a retrospective cohort analysis from a centre for assisted reproduction at a public hospital in China over the period 2006-2015. The analysis covered all women who conceived (15,254) and newborns (16,213) from IVF/intracytoplasmic sperm injection (ICSI) cycles with cleavage-stage embryo transfer or blastocyst transfer. The principal outcome measures were congenital malformations, preterm birth (PTB), low birthweight (LBW), small for gestational age (SGA) and large for gestational age (LGA).Logistic regression analysis showed that the sex ratio was imbalanced towards male neonates after blastocyst transfer (P=0.001; adjusted OR 1.17, 95%CI 1.07-1.30) but there were no differences in rates of miscarriage, ectopic pregnancy, stillbirth, very preterm birth (32 weeks), PTB (37 weeks), LBW, SGA or LGA between blastocyst transfer and cleavage-stage embryo transfer. A total of 176 congenital malformations (123 cleavage-stage embryos versus 53 blastocysts) were identified both in newborns and aborted fetuses, but the difference between groups was not statistically significant.There was no difference in the risks of adverse perinatal outcomes, and in particular of congenital malformation, after blastocyst transfer compared with cleavage-stage transfer, although there was a sex ratio imbalance towards male neonates after blastocyst transfer.

Background Metabolic reprogramming is one of the hallmarks of cancer cells. The pentose phosphate pathway (PPP), a branch of glycolysis, is an important metabolic pathway for the survival and biosynthesis of cancer cells. Transketolase (TKT) is a key enzyme in the non-oxidative phase of PPP. The mechanistic details of TKT in hepatocellular carcinoma (HCC) development remain unclear. Methods TKT level and subcellular location were examined in HCC cell lines and tissue samples. We established the TKT overexpression and knocking-down stable cells in HCC cell lines. Proliferation, migration, viability and enzyme activity assays in vitro, tumor growth and metastasis assays in vivo were employed to test the effects of TKT on HCC development. GFP-tagged TKT truncations and mutants were used to locate the nuclear localization sequence (NLSs) of TKT. Cross-linking co-IP/MS was applied to identify the interaction proteins of nuclear TKT. Results We showed that TKT increased the proliferation and migration of HCC cells, as well as the viability under oxidative stress in vitro and accelerated the growth and metastasis of HCC cells in vivo. We found as a key enzyme of PPP, TKT could promote the proliferation, cell cycle, migration and viability by regulating the metabolic flux. Moreover, it was firstly reported that unlike other key enzymes in PPP, TKT showed a strong nuclear localization in HCC cells. We found not only high TKT expression, but also its nuclear localization was a prediction for poor prognosis of HCC patients. We further identified the nuclear localization sequences (NLS) for TKT and demonstrated the NLS mutations decreased the pro-tumor function of TKT independent of the enzyme activity. Cross-linking Co-IP/MS showed that nuclear TKT interacted with kinases and transcriptional coregulators such as EGFR and MAPK3, which are associated with cell activation or stress response processes. EGF treatment significantly increased the viability and proliferation of HCC cells in the enzyme-inactivating mutation TKT-D155A overexpression cells but not in the NLS-D155A double mutant group, which could be blocked by EGFR inhibitor erlotinib treatment. Conclusions Our research suggests that in addition to the metabolic manner, TKT can promote the development of HCC in a non-metabolic manner via its nuclear localization and EGFR pathway. Electronic supplementary material The online version of this article (10.1186/s13046-019-1131-1) contains supplementary material, which is available to authorized users.

Flexoelectricity, the coupling effect of the strain gradient and charge polarization, is an important route to tune electronic properties of low-dimensional materials. Here our extensive first-principles calculations reveal that structural wrinkling and corrugation will cause significant flexoelectricity in transition metal dichalcogenide (TMD) monolayers. The flexoelectricity is induced by the strain gradients created along the finite thickness of the wrinkled TMD monolayers and becomes more dominant in determining out-of-plane polarizations with decreasing wavelengths of the TMD wrinkles. According to the first-principles calculations and whole structural symmetry, a theoretical model is developed to describe the total out-of-plane polarizations and flexoelectric effect of the wrinkled TMD monolayers. The unveiled flexoelectricity in monolayer TMDs highlights a potential for their application in energy conversion devices.

Background An increased incidence of monozygotic twinning after a blastocyst transfer has been previously reported in assisted reproductive technology treatment. It is uncertain whether this phenomenon is due to the extended culture time, culture medium, or inherent blastocyst parameters. Objective This study aimed to investigate the association between blastocyst parameters (in vitro culture time, blastocyst stage, and inner cell mass and trophectoderm grading) and the incidence of monozygotic twinning after assisted reproductive technology. Study Design This was a retrospective cohort study employing data from a multicenter, large, electronic database from 4 academic hospitals. All clinical pregnancies after a single blastocyst transfer between January 2014 and February 2020 were included. Blastocyst morphology was evaluated based on the Gardner grading system, considering the blastocyst stage, and inner cell mass and trophectoderm grading (grades A, B, and C). Monozygotic twinning was defined as ≥2 fetal heartbeats in a single gestational sac or 2 gestational sacs with sex concordance at birth. The multivariable predicted marginal proportions from logistic regression models were used to compute adjusted relative risks for the association between blastocyst parameters and the incidence of monozygotic twinning. Results The overall monozygotic twinning rate was 1.53% (402 of 26,254 cases). The monozygotic twinning was not associated with the culture time in vitro (day 5 vs day 6) or blastocyst stage (early, blastocyst, expanded, hatching, and hatched). Alternatively, monozygotic twinning was associated with lower inner cell mass grading (B vs A: adjusted relative risk, 1.67 [95 % confidence interval, 1.28–2.25]; C vs A: adjusted relative risk, 1.98 [95% confidence interval, 1.18–3.11]) and higher trophectoderm grading (B vs C: adjusted relative risk, 1.38 [95% confidence interval, 1.03–1.92]; A vs C: adjusted relative risk, 2.14 [95% confidence interval, 1.45–3.20]). The incidence of monozygotic twinning was the lowest in blastocysts with grade A inner cell mass and grade B or C trophectoderm (0.82%, as the reference) and the highest in blastocysts with grade B or C inner cell mass and grade A trophectoderm (2.40%; adjusted relative risk, 2.62; 95% confidence interval, 1.60–4.43). The incidence of monozygotic twinning in blastocysts with consistent inner cell mass or trophectoderm grading was somewhere in between (both A: 1.58%; adjusted relative risk, 1.86 [95% confidence interval, 1.23–3.04]; both B or C: 1.59%; adjusted relative risk, 1.84 [95% confidence interval, 1.29–2.90]). Conclusion Higher risk of monozygotic twinning was associated with blastocyst morphology specific to those blastocysts with loosely arranged inner cell mass cells combined with tightly packed trophectoderm cells.

Hexagonal boron nitride (h-BN) has long been recognized as an ideal substrate for electronic devices due to its dangling-bond-free surface, insulating nature and thermal/chemical stability. Therefore, to analyse the lattice structure and orientation of h-BN crystals becomes important. Here, the stacking order and wrinkles of h-BN are investigated by transmission electron microscopy (TEM). It is experimentally confirmed that the layers in the h-BN flakes are arranged in the AA' stacking. The wrinkles in a form of threefold network throughout the h-BN crystal are oriented along the armchair direction, and their formation mechanism was further explored by molecular dynamics simulations. Our findings provide a deep insight about the microstructure of h-BN and shed light on the structural design/electronic modulations of two-dimensional crystals., 7 pages, 5 figures

MicroRNAs (miRNAs) and long non-coding RNAs (lncRNAs) are both non-coding RNAs (ncRNAs) and their interactions play important roles in biological processes. Computational methods, such as machine learning and various bioinformatics tools, can predict potential miRNA-lncRNA interactions, which is significant for studying their mechanisms and biological functions. A growing number of RNA interaction predictors for animal have been reported, but they are unreliable for plant due to the differences of ncRNAs in animal and plant. It is urgent to build a reliable plant predictor, especially for cross-species. This paper proposes an ensemble deep learning model based on multi-level information enhancement and greedy fuzzy decision (PmliPEMG) for plant miRNA-lncRNA interaction prediction. The fusion complex features, multi-scale convolutional long short-term memory networks, and attention mechanism are adopted to enhance the sample information at the feature, scale, and model levels, respectively. An ensemble deep learning model is built based on a novel method (greedy fuzzy decision) which greatly improves the efficiency. The multi-level information enhancement and greedy fuzzy decision are verified to have the positive effects on prediction performance. PmliPEMG can be applied to the cross-species prediction. It shows better performance and stronger generalization ability than state-of-the-art predictors and may provide valuable references for related research.

Big data is built on the foundation of today’s horse racing technology. The rise and development of big data has become one of the most typical features of the industry’s Internetization in the new IT era. The data stored in the world has overflowed every database, and industry big data has become the focus of attention of all walks of life. Governments at all levels and all enterprises and institutions hope to dig out high-quality, high-value-added data from big data. Information, and use it to improve their profit and service model, and enhance their status in the public and industry. In the era of big data, for libraries that provide teaching and scientific research services to the teachers and students of the school, they can use efficient and fast information technology, such as big data analysis, to conduct in-depth analysis and analysis of various data in university libraries. Digging, effectively understanding the reading situation of the whole school, and analyzing their reading hobbies and reading habits, the library can effectively use this information to improve the types of books purchased by the library, which can more effectively increase resource utilization.

Influenza virus is a highly contagious zoonotic respiratory disease that causes seasonal outbreaks each year and unpredictable pandemics occasionally with high morbidity and mortality rates, posing a great threat to public health worldwide. Besides the limited effect of vaccines, the problem is exacerbated by the lack of drugs with strong antiviral activity against all flu strains. Currently, there are two classes of antiviral drugs available that are chemosynthetic and approved against influenza A virus for prophylactic and therapeutic treatment, but the appearance of drug-resistant virus strains is a serious issue that strikes at the core of influenza control. There is therefore an urgent need to develop new antiviral drugs. Many reports have shown that the development of novel bioactive plant extracts and microbial extracts has significant advantages in influenza treatment. This paper comprehensively reviews the development and effects of chemosynthetic drugs, plant extracts, and microbial extracts with influenza antiviral activity, hoping to provide some references for novel antiviral drug design and promising alternative candidates for further anti-influenza drug development.

Objective: To investigate the mental health of women undergoing assisted reproductive technology (ART) treatment during the novel coronavirus pneumonia (COVID-19) pandemic outbreak in Xi'an, China.Methods: A repeated cross-sectional study was administered to women undergoing ART treatment during the outbreak period (599 women in February 2020) and the control period (892 women in May 2020) at the Northwest Women's and Children's Hospital, Xi'an, China.Results: Both the ART-treated women surveyed during the outbreak period and those surveyed during the control period had high scores on the fear dimension (0.88, 0.51). The total scores for mental health among the participants during the control period were lower than those during the outbreak period (difference = −0.22; 95% CI = −0.25, −0.18). Lower scores were also seen during the control period, compared to those in the outbreak period, for depression (difference = −0.18; 95% CI = −0.23, −0.13), neurasthenia (difference = −0.31; 95% CI = −0.36, −0.25), fear (difference = −0.37; 95% CI = −0.43, −0.31), compulsion anxiety (difference = −0.13; 95% CI = −0.16, −0.09), and hypochondriasis (difference = −0.09; 95% CI = −0.12, −0.06).Conclusions: During the COVID-19 global pandemic, the mental health of women undergoing ART treatment in Xi'an, China, was primarily manifested as fear. As the pandemic was brought under control, the mental health of ART-treated women improved. As evidenced by these results, the COVID-19 pandemic influences the mental health of women undergoing ART treatment, and clinicians should be aware of this for similar future situations.

Accurate Lidar ratios (LR) and better understanding of their variation characteristics can not only improve the retrieval accuracy of parameters from elastic lidar, but also play an important role in assessing the impacts of aerosols on the climate. Using the observational data of Raman lidar in Shanghai from 2017 to 2019, the LR at 355 nm were retrieved and their variations and influencing factors were analyzed. Within the height range of 0.5 km–5 km, about 90 % of the LR were distributed in 10 sr–80 sr with an average value of 41.0 ± 22.5 sr, and the LR decreased with the increase of height. The volume depolarization ratios (δ) were positively correlated with LR, and they also decreased with the increase of height, indicating that the vertical distribution of particle shape was one of the influencing factors of the variations of LR with height. LR had a strong dependence on the original source of the air masses. Affected by the aerosol transported from northwest of Shanghai, the average LR was the largest, 44.2 ± 24.7 sr, accompanied by the most irregular particle shape. The vertical distributions of LR were affected by the atmospheric turbidity, with the greater gradient of LR under the clean conditions. The LR above 1 km could be more than 80 sr, when Shanghai was affected by the biomass burning aerosols.

Myth is a kind of story from ancient times. Both Chinese and western cultures have myths. And they are quite different in the shaping of the Gods. Although there are also many similarities between them, but we can find out the reason why two different cultures can develop on the same land, and the key is the differences. The western myths have two big parts called Greek mythology and Nordic mythology, these two myths have some differences, too. So, I want to explore the cultural differences reflected in different myths.

Filaggrin, encoded by the FLG gene, plays a crucial role in the barrier function of epidermis, but the association between FLG loss-of-function mutations and infectious skin diseases has not been systematically studied. FLG coding sequences from 945 patients with leprosy and 916 healthy controls were captured and enriched using an array-based high-throughput system, and subjected to next-generation sequencing. The loss-of-function mutations found were further validated by Sanger sequencing. A total of 21 loss-of-function mutations were found in 945 patients with leprosy, with a carrier rate of 17.53%, while the prevalence of these mutations in 916 healthy controls was 14.77%, which was significantly lower than in patients. Two individual FLG loss-of-function mutations (K4022X and Q1790X) were found to be significantly associated with leprosy. These results suggest a possible role for filaggrin in defending against leprosy pathogens.