It is well known that aging in males leads to male infertility; therefore, the current study determines the impact of ginseng on blood lipid profile, testosterone level, and epididymal sperm quality in aged balb/c mice. Aged male mice (n=24) were assigned to three groups (n=8 in each) i.e., control (CON), high dose ginseng (HDG) and low dose ginseng (LDG). Mice were treated as CON (normal saline), HDG (500mg/kg/day) and LDG (250mg/kg/day) for 5 weeks. Daily feed intake, weekly weight, blood lipid profile, testosterone level, epididymal sperm quality, and testicular tissue were evaluated during and 5 weeks after the end of treatment. Results revealed that weight gain and feed intake decreased (P< 0.05) in mice treated with HDG and LDG than CON during and 5 weeks after the treatment. During the treatment, levels of testosterone, cholesterol, and low-density lipoproteins increased (P< 0.05) in mice treated with HDG and LDG than CON; however, cholesterol, triglyceride, and LDL-C were increased in CON than HDG and LDG treated mice after 5 weeks of treatment. Motility and viability (%) of spermatozoa increased (P< 0.05) in HDG and LDG treated mice than those of CON mice whereas sperm concentration was more (P< 0.05) in LDG than HDG and CON treated mice during the treatment. Five weeks after the treatment, motility and viability of spermatozoa were greater (P< 0.05) in HDG and LDG than CON treated mice. In conclusion, Ginseng treatment in aged BALB/c mice enhances the epididymal sperm quality, lipid profile and blood testosterone level during and even five weeks after the end of treatment period.

In this research finding, a solution procedure of possibilistic linear programming problem is formulated taking only the right hand side parameters of the constraints as multi-choice in nature and the cost coefficients of the objective function are considered as triangular possibility distribution. In the present model, possibility is characterized by triangular possibility distribution whereas multi-choiceness is wielded by linear combination of binary variables technique. In order to figure out the proposed model, a crisp equivalent deterministic multi-objective mixed-integer linear programming problem is demonstrated. Then it is solved by using fuzzy programming approach. An exemplifying numerical model is presented to verify the developed methodology and solution procedure.

Purpose: Ulcerative colitis is a chronic, idiopathic, and inflammatory disease of the rectal and colonic mucosa, the behavior of which is of heterogeneity in individuals. Here, we explored the multifactor-mediated functional modules associated with ulcerative colitis classification in the whole genome.\nMethods: Datasets downloaded from the GEO database were used to identify differentially expressed genes between ulcerative colitis patients and healthy individuals initially, followed by acquisition of the remaining ulcerative colitis -related genes from the OMIM and STRING databases. \nResults: The results identified 914 ulcerative colitis-related genes, of which 60 were differentially expressed genes obtained from GEO datasets. Through weighted co-expression network analysis of ulcerative colitis-related genes, four modules were obtained, three of which were related to ulcerative colitis. Following interactions between microRNA, long noncoding RNA, transcription factors, and module hub genes were predicted and used to construct ulcerative colitis multifactor networks. Additionally, we performed consensus clustering of the ulcerative colitis samples. The results revealed that ulcerative colitis could be divided into four subtypes, with six hub genes identified as potential biomarkers for classification. \nConclusion: These findings offer novel insights into ulcerative colitis and a basis for disease classification of ulcerative colitis.

Due to the vigorous development of the tourism market, the statistics of the Tourism Bureau of the Ministry of Transport of the Republic of China (2020) have shown that the number of foreign tourists travelling to Taiwan has climbed from 5.5 million in 2010 to 11.84 million in 2019, an increase of 2.15 times. The number of Taiwanese tourists travelling overseas has increased from 9.4 million in 2010 to 14.5 million in 2017, an increase of 1.5 times. In 2018 and 2019, the number of tourists traveling abroad was 1,255,773 and 11,91519, which decreased slightly. As for the domestic sector, the number of Taiwanese travelling within the country has rose from 191,302,749 in 2010 to 332,968,307 in 2019, an increase of 1.74 times. As the number of tourists continues to climb, many businesses are eager to enter this industry. How to obtain sustainable in the market is mandatory to be considered by various travel industry players. In order to meet market demands to create competitive advantages, this study aimed to understand a Taiwanese travel agency’s organization performance as mentioned in the study of Kohli and Jaworski (1990). Also market oriented factors were used as an indicator to explore the degree of market orientation and its impact on organization performance. According to the regression analysis between factors after factor analysis, it shows that the information gathering (0.641), information transfer (0.372), information response (0.486) of the market-oriented three facets have a significant positive effect on the financial indicator, as well as information gathering (0.463), information Transfer (0.394) and information response (0.345) have a significant positive effect on the operational performance indicator, and finally show that information gathering (0.730), information transfer (0.628) and information response (0.611) have a significant positive effect on organizational effectiveness. The results have shown that there is a significant positive impact on a travel agency’s organization performance and its market orientation factors.

Renewable energy sources such as solar photovoltaic, wind, hydro, biomass, geothermal are types of resources that are known for their freely available and considered as clean energy for electricity generation. Since solar photovoltaic and wind energy are gaining popularity due to their characteristics which are able to complement each other during the restriction of the other source. Thus, due to these characteristics solar photovoltaic and wind energy are introduced as a hybridization system to develop a complementary based power system for continuous electricity generation. One of the main criteria of solar photovoltaic and wind energy hybridization system is to control the operation and manage the complementary of solar photovoltaic and wind energy system as continuous electricity generator. Therefore, this research paper proposes and explains about the hierarchical self-intervention sequential approach as a technique to hybridize of solar photovoltaic and wind energy as a complementary power system as well as its system control the operation and management for continuous electricity generation. The proposed hierarchical self-intervention sequential approach is adopted to complementary solar photovoltaic and wind energy and the proposed system is modelled using the MATLAB Simulink/Stateflow and the presented results are validated via the simulation analysis using the MATLAB Simulink/Stateflow software.

Mouse is regarded as model animal for biomedical research and superovulation is reproductive biotechnology widely used for obtaining maximum number of oocytes from a female. However, inconsistent superovulatory response in mice is a great challenge from last few decades and may be related to the day of initiation of gonadotropin treatment. The rationale of current study was to evaluate the superovulatory response with respect to stage of estrous in BALB/c mice, treated with FSH or eCG. A total of 34 mice were selected after confirming the stage of cycle through vaginal cytology. About five to fourteen mice per stage were treated with FSH (n=47; 2.5 IU per does; SC, in four equal doses at every 12 h) or eCG (n=32; 5 IU; IP). All mice received a constant dose of hCG (5 IU, I.P) 48h after eCG or 12 h after last injection of FSH. Effect of stage of estrous cycle on number of oocyte/cleaved embryos (36 hours post hCG) and number of somite (9.5 dpc) was compared between the FSH or eCG treated mice. The results revealed that the total number of recovered oocytes and cleaved embryos did not differ on the basis of stage of estrous cycle in FSH-treated mice. However, in eCG-treated group higher (p< 0.05) number of oocytes and embryos were recovered at proestrus and estrus while numbers of cleaved embryos were higher (P< 0.05) at proestrus. Furthermore, no significant difference was observed in embryo quality regarding number of somite between two groups. In conclusion, superovulation by eCG yielded higher number of oocytes and cleaved embryos at proestrus while FSH response was independent of stage of estrous cycle.