Mathematical Modeling of Enhanced Whale Optimization Based Power Quality Enhancement Using Unified Power Quality Conditioner for Implantable Biomedical Devices

Implantable biomedical systems that enable the majority of the functions of wireless implantable devices have made significant progress in recent years. Nonetheless, due to limited miniaturization, power distribution limits, and the unavailability of a stable link between implants and external devices, such systems are primarily limited to investigation. Generating electricity from natural sources and human body movement for implantable biomedical devices has emerged as a viable option. Nowadays, energy sources become the emerging use of electricity grid which has formed new challenges for the effectiveness of power quality, efficient energy utilization and voltage stabilization for biomedical applications. Power quality in the implementation of the smart grid in biomedical devices is regarded to be the most problematic. APFs (Active Power Filter) are preferred to reward the related problems, mainly because they can quickly filter out of the PQ and are a dynamic compensation. The UPQC with a PI control unit with DC source to be converted to a three stage inverter based on Enhanced Whale Optimization Algorithm (EWOA) was precisely implemented in the article in order to eliminate voltage and current harmonics inadequate. Similarly, UPQC also used the Enhanced Whale Optimization Algorithm (EWOA). In this approach, UPQC along with EWOA (Enhanced whale optimization) has been introduced for voltage and current harmonics elimination defect specifically. Similarly, EWOA was too implemented with UPQC. UPQC & EWOA conducted a performance estimate by estimating a simulation, results on comparing the parameters of THD levels, load current and voltage. The performance estimate is also used and the results achieved are shown. In order to analyze THD values and validate the system performance, performance estimates are built and compared with THD values, load voltage and current parameters.

GROWTH EVALUATION OF CROSSBRED HOLSTEIN×GYR CALVES AND HEIFERS RAISED IN TROPICAL CONDITIONS

The objective of this study was to evaluate growth and body development of crossbred Holstein×Gyr calves and heifers raised in tropical conditions. Thirty-two crossbred heifers (Holstein×Gyr) aged between 1 and 1314 days were used. For assessing the animals’ body weight, the heifers were weighed once a week with a chest tape for weighing cattle, using the specification for medium breeds recorded on the tape itself. The experiment was conducted in a completely randomized design. Body weight data were analyzed using linear regression as a function of age, using the R software. We could observe that animals less than 200 days old had a performance estimate of approximately 0.517 kg day-1, while after at 200 days of life, the estimated weight gain was 0.237 kg day-1. Heifers had a higher growth rate before 200 days of age than after this age, which can affect the age at the first calving of the herd. Thus, as the age for the first breeding is linked to the weight of the live animals, the delay in the growth of the calves becomes detrimental to the breeding.

Tutorial: Assessing metagenomics software with the CAMI benchmarking toolkit

Computational methods are key in microbiome research, and obtaining a quantitative and unbiased performance estimate is important for method developers and applied researchers. For meaningful comparisons between methods, to identify best practices, common use cases, and to reduce overhead in benchmarking, it is necessary to have standardized data sets, procedures, and metrics for evaluation. In this tutorial, we describe emerging standards in computational metaomics benchmarking derived and agreed upon by a larger community of researchers. Specifically, we outline recent efforts by the Critical Assessment of Metagenome Interpretation (CAMI) initiative, which supplies method developers and applied researchers with exhaustive quantitative data about software performance in realistic scenarios and organizes community-driven benchmarking challenges. We explain the most relevant evaluation metrics to assess metagenome assembly, binning, and profiling results, and provide step-by-step instructions on how to generate them. The instructions use simulated mouse gut metagenome data released in preparation for the second round of CAMI challenges and showcase the use of a repository of tool results for CAMI data sets. This tutorial will serve as a reference to the community and facilitate informative and reproducible benchmarking in microbiome research.

DYNAMIC, BIDIRECTIONAL LONGITUDINAL RELATIONSHIP BETWEEN LEISURE ACTIVITY ENGAGEMENT AND COGNITIVE PERFORMANCE

Engagement in leisure activities, i.e., intellectual, social, and physical activities, may reduce the risk of incident dementia, yet little is known about the longitudinal, dynamic relationship between overall leisure activity engagement and cognition in older adulthood. Using data from a survey measure of 13 leisure activities, e.g., doing unpaid volunteer work and playing cards, games, or bingo, and a neuropsychological battery collected concurrently over 14 years from 2,259 multi-ethnic participants (mean age of 76.0 years) in the Washington Heights-Inwood Columbia Aging Project, we used a parallel process latent growth curve model of trajectories of both leisure activity engagement and cognitive z-scores (global cognitive performance, language, memory, and visuospatial ability). Estimates were adjusted for baseline age, years of education, sex, race/ethnicity, recruitment year, occupation (unskilled, skilled, and housewife), and baseline income. More baseline activity engagement (range, 0-13, higher indicating more engagement) was associated with higher baseline cognitive performance, i.e., global cognitive performance (estimate=0.129, standard error, SE=0.017, p<0.001), language (estimate=0.146, SE=0.020, p<0.001), memory (estimate=0.141, SE=0.025, p<0.001), and visuospatial ability (estimate=0.111, SE=0.020, p<0.001). Decline in leisure activity engagement were associated with decline in global cognitive performance (estimate=0.002, SE=0.000, p<0.001), language (estimate=0.002, SE=0.000, p<0.001), memory (estimate=0.002, SE=0.001, p<0.001), and visuospatial ability (estimate=0.001, SE=0.000, p=0.001). While both level and change in overall leisure activity engagement and cognitive performance were correlated, level of one did not predict change in the other. Similar relationships were found when examining leisure activity categories. This suggests a dynamic, bidirectional relationship between leisure activity engagement and cognitive performance among older adults.

The Impact of Corporate Social Responsibility on Organizational Performance in Telecommunication Sector in Jordan

The study has aimed to investigate the impact of corporate social responsibility on organizational performance. The data from three telecommunication companies were collected through questionnaires, based on the Likert scale. The data has been collected from 500 employees of telecommunication companies. Statistical tools were used to analyze the data. The results showed that internal CSR positively affects both non-financial and financial performance. In addition, external CSR proved to positively affect non-financial performance. The effect of external CSR on financial performance was negative, but not significant. The current study provides insights into the value of corporate social responsibility key on organizational performance in telecommunication companies. Additionally, most of the respondents considered CSR as a key factor influencing the Organizational Performance of companies. This approach is expected to support telecommunication company’s managers in the developing world to evaluate their current performance, estimate the desired state based on the results.