OBJECTIVE: To explore the effect of gestational anxiety and/or depression on the infant birthweight and to investigate whether the relationship is affected by the gestational week and newborn gender\nMETHODS: A total of 480 pregnant women who underwent antenatal care at 32-36 weeks were enrolled in the study using the Hamilton Anxiety and Depression Scale for emotional evaluation. After childbirth, information on the gestational weeks of delivery, weight of the newborn, and gender were obtained during community follow-up.\nRESULTS: After controlling potential confounding factors, there was no significant difference in the weight of the newborns in the full-term maternal, anxiety, depression, anxiety and depression groups and the normal mood group; but in the premature women, regardless of which mood disorder, the birth weight of newborns was significantly lower than that of the normal mood group. In the case of women with no emotional disorders as a control group, there was no significant increase in the risk of male-born gestational age (SGA) in pregnant women with emotional disorders. The risk of SGA in female infants was significantly increased in woman with an emotional disorder. \nConclusion: Pregnant women with anxiety or depression or both at 32-36 weeks of pregnancy may significantly reduce the weight of premature infants, especially affecting female infants.

Objective: to explore the clinical and imaging characteristics of patients with confirmed infection of COVID-19 at home and abroad, and to compare and analyze the differences between the two groups so as to improve the clinical understanding of this disease. \n\nMethods: from January 25, 2020 to March 29, 2020, 33 patients with COVID-19 infection diagnosed in fever clinic of Shanghai Pudong New Area People\'s Hospital were selected as the subjects, 12 patients in China and 21 patients abroad. The epidemiological, incubation period, general condition, clinical data, basic diseases, blood test and CT imaging were collected and analyzed retrospectively. \n\nResults: There were significant differences in age distribution and basic diseases between 12 domestic and 21 overseas patients. For symptoms, fever, general muscle pain and body temperature increased were more prevalent in domestic patients. The percentage of eosinophils in domestic patients was significantly lower than that in overseas patients. There were more abnormal lung lesions in domestic patients than in foreign patients, and lesions involving both lungs were more common. \n\nConclusion: National patients are relatively elder and have more basic diseases, and the systemic symptoms and signs of covid-19 infection are more obvious. Eosinophil decline is a fairly specific laboratory finding related to more fever and chest abnormality, and the chest CT of domestic patients is more serious than that of overseas patients, which can provide evidence for clinical diagnosis and treatment.

Urbanization across the world is increasing at an ever-increasing pace, and most of these experiences are in the global south. Within the global south, the most affected are the most impoverished places in third world countries. An increase in urbanization has increased urban slums housing migrated settlements in search of affordable housing. In this scenario, India is no exception. India\'s slum redevelopment history identifies itself with slum resettlement, mostly in urban fringes. The slum resettlement colonies in India mostly display a sordid state of affairs where residents live in a state of great compromise juxtaposed with low social acceptance. This paper attempts to review various kinds of literature concerning affordable housing, slum redevelopment, and social acceptance of affordable housing in slum resettlement colonies in India. It tries to identify a methodology for measuring social acceptance in resettlement colonies and establish them through numerical analysis.

Kinetic Monte Carlo modelling was employed as a powerful tool to kinetically investigation of ‎antibiotics removal by photo-Fenton process (iron(III) citrate/ hydrogen proxide in the presence ‎of UV irradiation). Sulfamethazine, ciprofloxacin, sulfathiazole and amoxicillin are the antibiotics ‎which were studied in this investigation. The kinetic mechanism of the photo-Fenton degradation ‎were found by Monte Carlo simulation for all studied antibiotics including sulfamethazine, ‎ciprofloxacin, sulfathiazole and amoxicillin. Also the rate constants values of each step in the ‎suggested mechanism were acquired for these antibiotics through the simulation. Optimized ‎values of Fe(III) citrate and hydrogen proxide were attained through obtaining the effect of their ‎initial amounts on the rate of antibiotics elimination by means of kinetic Monte Carlo simulation. ‎The perfect agreement is observed between the simulation results and the experimental photo-‎Fenton data for the abovementioned antibiotics.‎

The straight walk algorithm is used in searching for a mesh cell containing a query point in a large scale mesh of a bounded domain. It could be applied to computational geometry and several other fields, including finite element solutions of partial differential equations. In this paper, an improved straight walk algorithm is presented to make it work for degenerate (or singular) cases in a tetrahedral mesh.

Nowadays, the efficient use of the resources of the enterprises is very important to provide a competitive advantage. An efficient facility layout which is achieved by optimum placement of production factors plays an important role in increasing the profitability by minimizing the total operating cost. Plant layouts may need to be changed over time due to reasons such as technological innovations, product design and variability in product demand. Although it may seem expensive to rebuild a facility, it is much more cost-effective than the probability that customers cannot meet their demands. The facility layout problems that address the demand variability at certain time periods are called the dynamic facility layout problem (DFLP). The DFLP provides a balance between material transportation costs and relocation costs. The DFLP is a complex and NP-Hard optimization problem. Therefore, analytical solution methods may often not be enough to solve the DFLP. Also, a solution should also be obtained at reasonable times. In this study, a new hybrid approach based on simulated annealing (SA) and adaptive bacterial foraging algorithm (ABFA) is developed for budget constrained DFLP. The proposed approach is tested on the test problems in the literature. The solution results of many problems are better than the results of other algorithms in the literature.