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After a failed in vitro fertilization (IVF) procedure in which no transferable embryo was obtained, the possibility of a subsequent pregnancy for the patient is unknown. We conducted a cohort retrospective study evaluating the live birth rate in the subsequent cycles of the patients with no embryo for transfer in their first IVF attempt between 2017and 2020. The first cycle variables of patients who conceived in subsequent cycles were compared to those who did not. Additionally, for patients who conceived at last, variables related to ovarian stimulation were compared between the first cycle and the conceiving cycle. In accordance with the inclusion criteria, 529 were enrolled during the study period, of which 230 had successful pregnancies and 192 gave birth to a live infant. Cumulative live birth rates (CLBR) per cycle and patient were 26% and 36% respectively. Moreover, 99% of the live births were obtained within the first three attempts, beyond six cycles, there was no pregnancy. Stimulating variables in the first cycle were not effective in predicting the likelihood of a patient's subsequent pregnancy. Overall, patients who did not have embryos available for transfer in the first cycle had a 36% chance of getting a live birth in subsequent attempts, and the cause of failure should be considered.

In this work, non-isocyanate poly(hydroxyl)urethane (NIPHU) was prepared. The chemical structures of the cyclic carbonated polypropylene glycol diglycidyl ether and NIPHU were confirmed. The thermoresponsive behavior of NIPHU was researched by Rayleigh light scattering, dynamic light scattering, and scanning electron microscopy upon heating and cooling. A reversible thermoresponsive behavior from micelles to aggregated structures was discovered above the critical micelle concentration (CMC). Thermoresponsive behavior processes, including a micelle stage, aggregation upon heating, disaggregation, a fusion stage, further disaggregate stage, and an additional micelle stage upon cooling, were revealed when the concentration was equal to or below the CMC. Furthermore, the hemocompatibility and biocompatibility of NIPHU were good, as confirmed by a low toxicity by hemolysis, a low cytotoxicity toward L929 cells, and the observed confocal laser scanning microscopy images of the live/dead-stained cells. The potential application of NIPHU should therefore be explored as the component of biomedical composite materials. Reversible thermoresponsive behavior of non-isocyanate poly(hydroxyl)urethane were investigated

Turnover prediction has an important impact on alleviating the brain drain, which can help organizations reduce costs and enhance competitiveness. Existing studies on turnover are mainly based on analyzing the turnover correlation, using different models to predict various employee turnover scenarios, and only predicting turnover category, while the class imbalance and turnover possibility have been ignored. To this end, in this paper, we propose a novel fine-grained adaptation-based turnover prediction neural network (FATPNN) model. Specifically, we first employ a GRU to learn profile-aware features representations of the personnel samples. Then, to evaluate the contribution of various turnover factors, we further exploit an attention mechanism to model the profile information. Finally, we creatively design a weighted-based probability loss function suitable for our turnover prediction tasks. Experimental results show the effectiveness and universality of the FATPNN model in terms of turnover prediction.

Herein, a novel series of dual histone deacetylase (HDAC) and vascular endothelial growth factor receptor (VEGFR) inhibitors were designed, synthesized and biologically evaluated based on previously reported pazopanib-based HDAC and VEGFR dual inhibitors. Most target compounds showed significant HDAC1, HDAC6 and VEGFR2 inhibition, which contributed to their potent antiproliferative activities against multiple cancer cell lines and significant antiangiogenic potencies in both human umbilical vein endothelial cell (HUVEC) tube formation assays and rat thoracic aorta ring assays. Further HDAC selectivity evaluations indicated that hydroxamic acids 5 and 9e possessed HDAC isoform selectivity profiles similar to that of the approved HDAC inhibitor suberoylanilide hydroxamic acid(SAHA), while hydrazide12 presented an HDAC isoform selectivity profilesimilar to that of the clinical HDAC inhibitor MS-275. The VEGFR inhibition profiles of 5, 9e and 12 were similar to that of the approved VEGFR inhibitor pazopanib. The intracellular target engagements of Compounds 5 and 12 were confirmed by western blot analysis. The metabolic stabilities of 5, 9e and 12 in mouse liver microsomes were inferior to that of pazopanib. These dual HDAC and VEGFR inhibitors provide lead compounds for further structural optimization to obtainpolypharmacological anticancer agents.

A novel coordination polymer containing Mn(II) ions as nodes was prepared by the hydrothermal method, and its chemical formula is {[Mn2(L)(hfpd)(H2O)]·1.75H2O}n (1) (L = 4,4′-bis(imidazol-1-yl)-biphenyl and H4hfpd = 4,4′-(hexafluoroisopropylidene)diphthalic acid). It was then used for evaluation the relationship with the Endometriosis (EMs). The activation for the estrogen receptor relative expression on the surface of endometrial cell was detected through the real time RT-PCR, and the results showed that complex 1 could obviously decreased the estrogen receptor over expression on the endometrial cell surface dose dependently. The immune function of the macrophages under the endometrial cells were determined by Western blot, the data indicated that complex 1 exerts the excellent treatment activity via activating the autophagy in macrophages. Molecular docking simulations reveal that the origin of the biological activity is from the carboxyl functional groups on the complex.

The automatic recognition of personality traits from texts has attracted significant attention. Existing studies typically combine linguistic feature engineering with traditional models, use five various neural networks to predict personality traits with multiple labels, and fail to achieve the best performance on each label. To this end, in this paper, we propose a novel semantic-enhanced personality recognition neural network (SEPRNN) model, which has a goal of avoiding dependence on feature engineering, allowing the same model to adapt to detecting five various personality traits with no modification to the model itself, and employing deep learning based methods and atomic features of texts to build vectorial word-level representation for personality trait recognition. Specifically, to precisely recognize multi-labeled personality traits, we first propose a word-level semantic representation for texts based on context learning. Then, a fully connected layer is used to obtain higher-level semantics of texts. Finally, the experimental results demonstrate that the proposed approach achieves significant performance improvement for multi-labeled personality traits compared with several baselines.

Personnel performance is a key factor to maintain core competitive advantages. Thus, predicting personnel future performance is a significant research domain in human resource management (HRM). In this paper, to improve the performance, we propose a novel method for personnel performance prediction which helps decision-makers select high-potential talents. Specifically, for modeling the personnel performance, we first devise a GRU model to learn sequential information from personnel performance data without any expertise. Then, to better cluster the features, we exploit capsule network. Finally, to precisely make predictions, we further design one strategy, i.e., an improved loss function, and embed it into the capsule network. In addition, by introducing this strategy, our proposed model can well deal with the imbalanced data problem. Extensive experiments on real-world data clearly demonstrate the effectiveness of the proposed approach.

Background Hypothyroidism is frequent and has various forms of muscle involvement. We report the diagnosis and treatment of a case of rhabdomyolysis, bilateral osteofascial compartment syndrome (OCS) of the lower extremities, and peroneal nerve injury causing bilateral foot drop in a diabetic patient with hypothyroidism. Case presentation A 66-year-old man with diabetes for 22 years was admitted because of drowsiness, tiredness, facial swelling, and limb twitching for 2 months, and red and swollen lower limb skin for 3 days. Serum creatinine kinase (CK), CK-MB, myoglobin (Mb), blood glucose, and HbA1c were elevated. TSH, thyroid peroxidase antibodies, and antithyroglobulin antibodies were elevated. FT3 and FT4 were low. Urine was dark brown. He was diagnosed with hypothyroidism, rhabdomyolysis, and OCS. CK, CK-MB, and Mb returned to normal after treatment with thyroid hormone, insulin, albumin infusion, ceftriaxone, ulinastatin, and hemofiltration, and the redness and swelling of the lower limbs were relieved, but the patient developed dropping feet. The patient recovered well but had to undergo rehabilitation. Conclusion Hypothyroidism may induce rhabdomyolysis, OCS, and other complications. This case reminds us of the importance of screening for hypothyroidism and strengthens the clinicians’ understanding of the disease.

NASICON-type structured NaTi2(PO4)3 has been regarded as a promising anode material for non-aqueous and aqueous Na-ion batteries, whereas its sodium storage performance was greatly restricted by its inherent inferior electronic conductivity. In the present work, a two-step carbon modification method using prefabricated carbon spheres as support and phenolic resin as carbon source was proposed to prepare advanced NaTi2(PO4)3/C. The as-prepared composite with carbon spheres displayed a much higher reversible capacity (126.7 mA·h/g vs 106.7 mA·h/g at 0.5C) than the control sample without carbon spheres. Superior rate capability with discharge capacities of 115.1, 95.5, 80.8 mAh/g at 1C, 10C, 20C, respectively and long-term cycling stability with capacity retention of 92.4% after 1000 cycles at 5C were also observed. Owing to the designing of two-step carbon modification, although the as-prepared sample shows much smaller surface area, it possesses much better conductive network and more uniform particle distribution, resulting in higher electronic conductivity and faster ionic conductivity, thereby superior sodium storage ability at high rate.

SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) is a novel coronavirus causing the COVID-19 pandemic in 2020. High adaptive plasticity on the spike protein of SASR-CoV-2 enables it to transmit across different host species. In the present study, we collected 2092 high-quality genome sequences of SARS-CoV-2 from 160 regions in over 50 countries and reconstructed their phylogeny. We also analyzed the polymorphic interaction between spike protein and human ACE2 (hACE2). Phylogenetic analysis of SARS-CoV-2 suggests that SARS-CoV-2 is probably originated from a recombination event on the spike protein between a bat coronavirus and a pangolin coronavirus that endows it humans infectivity. Compared with other regions in the S gene of SARS-CoV-2, the direct-binding sites of the receptor-binding domain (RBD) is more conserved. We focused on 3,860 amino acid mutations in spike protein RBD (T333-C525) of SARS-CoV-2 and simulated their differential stability and binding affinity to hACE2 (S19-D615). The results indicate no preference for SARS-CoV-2 infectivity on people of different ethnic groups. The variants in the spike protein of SARS-CoV-2 may also be a good indicator demonstrating the transmission route of SARS-CoV-2 from its natural reservoir to human hosts.