Investigation and protection of fishery resources in the middle of Bohai Sea

In May and October 2017, 12 stations were set up in the Central Bohai Sea for fishery resources investigation. The results show that there are many dominant species in this area, and the inshore fishery resources are higher than those in the open sea because of the abundant nutrients from land, the high density of zooplankton and the food of swimming animals. In order to effectively protect the fishery resources in the Central Bohai Sea, this paper puts forward some suggestions, such as strengthening the protection propaganda, scientific and reasonable fishing, and strengthening the management of marine environment

On weakly bounded well-filtered spaces

In [16], using Rudin sets, Miao, Li and Zhao introduced a new concept of weakly well-filtered spaces—$k$-bounded well-filtered spaces. Now, also using Rudin sets, we introduce another type of $T_0$ spaces—weakly bounded well-filtered spaces, which are strictly stronger than $k$-bounded well-filtered spaces. Some basic properties of $k$-bounded well-filtered spaces and weakly bounded well-filtered spaces are investigated and the relationships among some kinds of weakly sober spaces and weakly well-filtered spaces are posed. It is proved that the category ${\bf KBWF}$ is not reflective in the category ${\bf Top}_{0}$

Preliminary study of pelvic floor structural changes in early and middle pregnant women with cervical incompetence

Objective·To explore the changes of pelvic floor structure in the early and middle pregnant women with the history of cervical incompetence (CIC) by ultrasound.Methods·The pregnant women during early and middle trimesters were collected from Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine from August 2022 to January 2023. All the pregnant women had only one history of premature delivery, abortion or induced labor in the middle trimester, and were divided into CIC group and control group according to whether having the history of CIC in the previous pregnancy. Age, body mass index (BMI), gestational age, the prevalence of funneling of internal urethral orifice and the prevalence of urinary incontinence were compared between the two groups. Two-dimensional, three-dimensional, and four-dimensional pelvic floor ultrasound was used to measure the pelvic floor structures of the women in the states of resting, pelvic floor muscle contraction (PFMC) and Valsalva maneuver (VM). The parameters of pelvic floor structure included bladder neck position, urethral inclination angle, urethral rotation angle, posterior angle of bladder, bladder neck mobility, cervix position, position of ampulla of rectum, area of urogenital hiatus (HA), hiatal transverse diameter, and hiatal anteroposterior diameter. General linear regression model was used to correct the influence of confounders and to analyze the association between the history of CIC and the different indexes of pelvic floor structure.Results·A total of 76 pregnant women in early and middle trimesters were collected, including 39 women in the CIC group and 37 women in the control group. There was no significant difference in the age between the two groups, while BMI and gestational age in the CIC group were significantly greater than those of the control group, and the differences were significant (both P 0.05); at the state of VM, HA (P=0.016) and hiatal anteroposterior diameter (P=0.014) increased in the CIC group, while other parameters did not change significantly. It was found that the CIC history was associated with HA (P=0.038) and hiatal anteroposterior diameter (P=0.049) at VM after adjusting gestational age and BMI by the general linear regression model. The incidence rates of funneling of internal urethral orific in the CIC group and the control group were 10.25% and 0, respectively; the incidence rates of stress incontinence were 23.07% and 13.51%, respectively. Neither of the differences were significant (both P>0.05).Conclusion·In the pregnant women with the history of CIC, HA and hiatal anteroposterior diameter at VM increase, and the morphological change of the levator ani hiatus is more obvious with the increase of the vertical axis

Two ultraviolet radiation datasets that cover China

Ultraviolet (UV) radiation has significant effects on ecosystems, environments, and human health, as well as atmospheric processes and climate change. Two ultraviolet radiation datasets are described in this paper. One contains hourly observations of UV radiation measured at 40 Chinese Ecosystem Research Network stations from 2005 to 2015. CUV3 broadband radiometers were used to observe the UV radiation, with an accuracy of 5%, which meets the World Meteorology Organization's measurement standards. The extremum method was used to control the quality of the measured datasets. The other dataset contains daily cumulative UV radiation estimates that were calculated using an all-sky estimation model combined with a hybrid model. The reconstructed daily UV radiation data span from 1961 to 2014. The mean absolute bias error and root-mean-square error are smaller than 30% at most stations, and most of the mean bias error values are negative, which indicates underestimation of the UV radiation intensity. These datasets can improve our basic knowledge of the spatial and temporal variations in UV radiation. Additionally, these datasets can be used in studies of potential ozone formation and atmospheric oxidation, as well as simulations of ecological processes

A novel MDPSO-SVR hybrid model for feature selection in electricity consumption forecasting

Electricity consumption forecasting has vital importance for the energy planning of a country. Of the enabling machine learning models, support vector regression (SVR) has been widely used to set up forecasting models due to its superior generalization for unseen data. However, one key procedure for the predictive modeling is feature selection, which might hurt the prediction accuracy if improper features were selected. In this regard, a modified discrete particle swarm optimization (MDPSO) was employed for feature selection in this study, and then MDPSO-SVR hybrid mode was built to predict future electricity consumption. Compared with other well-established counterparts, MDPSO-SVR model consistently performs best in two real-world electricity consumption datasets, which indicates that MDPSO for feature selection can improve the prediction accuracy and the SVR equipped with the MDPSO can be a promised alternative for electricity consumption forecasting