Neu5Gc regulates decidual macrophages leading to abnormal embryo implantation.

Repeated implantation failure (RIF) is one of the most prominent problems in the field of assisted reproduction. Neu5Gc on the surface of decidual macrophages (dMΦ) leads to different activation patterns of dMΦ, which affects embryo implantation and development. Cmah-/- (Neu5Gc-deficient) mice induced to produce anti-Neu5Gc antibodies in vivo were given a special diet rich in Neu5Gc and their fertility was monitored. The long-term diet rich in Neu5Gc induced the decrease of endometrial receptivity of female mice. The pregnancy rate of female mice fed the normal diet was 63.6% (n = 11) and the average number of embryos was 9.571 ± 1.272, while the pregnancy rate of female mice fed the diet rich in Neu5Gc was 36.4% (n = 11) and the average number of embryos in pregnant mice was 5.750 ± 3.304. The intake of Neu5Gc and the production of anti-Neu5Gc antibody led to M1 polarization of endometrial dMΦ and abnormal embryo implantation.

Giant pandas are losing their edge: Population trend and distribution dynamic drivers of the giant panda.

Comprehending the population trend and understanding the distribution range dynamics of species are necessary for global species protection. Recognizing what causes dynamic distribution change is crucial for identifying species' environmental preferences and formulating protection policies. Here, we studied the rear-edge population of the flagship species, giant pandas (Ailuropoda melanoleuca), to (1) assess their population trend using their distribution patterns, (2) evaluate their distribution dynamics change from the second (1988) to the third (2001) survey (2-3 Interval) and third to the fourth (2013) survey (3-4 Interval) using a machine learning algorithm (eXtremely Gradient Boosting), and (3) decode model results to identify driver factors in the first known use of SHapley Additive exPlanations. Our results showed that the population trends in Liangshan Mountains were worst in the second survey (k = 1.050), improved by the third survey (k = 0.97), but deteriorated by the fourth survey (k = 0.996), which indicates a worrying population future. We found that precipitation had the most significant influence on distribution dynamics among several potential environmental factors, showing a negative correlation between precipitation and giant panda expansion. We recommend that further research is needed to understand the microenvironment and animal distribution dynamics. We provide a fresh perspective on the dynamics of giant panda distribution, highlighting novel focal points for ecological research on this species. Our study offers theoretical underpinnings that could inform the formulation of more effective conservation policies. Also, we emphasize the uniqueness and importance of the Liangshan Mountains giant pandas as the rear-edge population, which is at a high risk of population extinction.

Energy Saving Benefit Analysis of the Compressor Short-Stop Adjustment Method Based on TGNET.

Aiming at the problem of gas emissions caused by the high-pressure operation of a large industrial gas (O2, N2, and Ar) pipeline network, this study establishes a mathematical model of the oxygen transmission and distribution system (OTDS) based on TGNET software. In addition, the study conducts transient simulation, comprehensively considering theoretical constraints and actual operation requirements, and adopts a large air separation company for the OTDS as a case study. After comparing two traditional adjustment methods, a compressor short stop adjustment strategy is proposed to reduce the peak pressure of the pipe network system. This study determines the energy-saving benefits and the difference in the scope of application of compressor short-stop adjustment. Compared with the medium-pressure release and inlet guide vane opening adjustment (IGVOA) strategies, the compressor short-stop adjustment strategy reduced oxygen emission by 3850.9 Nm3 and increased by 927.1 Nm3. Furthermore, the compressor operating energy consumption was reduced by 3349 and 2919 kW h. Compared with the IGVOA strategy, the compressor short-stop adjustment strategy has increased the application range of compressor inlet pressure and medium-pressure pipeline pressure by more than 70%. This strategy is effective for reducing the emission of pipeline gases caused by fluctuations in user demand.

Research Progress on the Relationship between Obesity-Inflammation-Aromatase Axis and Male Infertility.

Aromatase is a key enzyme in the transformation of androgen into estrogen. Its high expression will destroy the hormonal balance in the male body, and the excessive transformation of androgen into estrogen in the body will further damage the spermatogenic function of the testis, affect the normal development of the sperm, and cause spermatogenic disturbance. Adipose tissue has a high expression of aromatase and shows high enzymatic activity and ability to convert estrogen. Adipose tissue is the most estrogen-producing nongonadal tissue in the body because of its large size, accounting for about 20% of the body mass in healthy adults. PPARγ is recognized as the key adipose differentiation in the transcriptional regulation of the transcription factor. In the process of adipocyte differentiation, PPARγ regulate the expression of aromatase. The increase of aromatase is associated with the inflammatory response in adipose tissue caused by obesity. After obesity, the increase of proinflammatory factors in adipocytes will lead to enhanced transcription of the CYP19 gene encoding aromatase in adipocytes, which in turn will lead to increased expression of aromatase in adipocytes. This article reviews the regulation of male sterility from the angle of the "obesity-inflammation-aromatase" axis.

Combining application of wavelet analysis and genetic algorithm in wind tunnel simulation of unidirectional natural wind field near a sand ground surface.

This study proposes a method for the approximate simulation of field gust in an atmospheric boundary layer wind tunnel driven by an axial fan. Wavelet analysis and genetic algorithm have been adopted to convert actual field gust data into a series of simplified and smooth control signals. One frequency converter is used to receive the signals via a programmable logic controller and change the fan speed correspondingly. Results show that the low-frequency energetic part of field gust on top of a saltation layer has been almost reproduced in the wind tunnel with energy fluctuations ±3.26% from the mean compared with the field data in terms of energy. The appropriate filter frequency for field gust velocity history is 1/32 Hz. A unidirectional natural wind field near a sand bed surface can be approximately simulated in the tunnel by adjusting carefully the roughness element arrangement. The time-averaged velocity profile of the simulated wind, which satisfies the logarithmic law, is nearly equivalent to the steady flow with the same average velocity.