The Research of Small Wave Basis ANN Algorithm and 5-Class Decision Factor AI

The accuracy and reliability of continuous space curve estimation is the key to global exploration. An improved artificial intelligence algorithm is proposed for the analysis of continuous space. First, small wave basis ANN algorithm is proposed to solve discretization strategy in continuous space: The hidden layer node transfer function in BP neural network is substituted with wavelet basis function, while the replaced BP neural network is composed of wavelet neural network. Secondly, improved wolf algorithm is set up. The core wolf system ensures the precision of whole exploration. Finally, the main and auxiliary double cores and five-class decision factor is used to establish a population classification model to solve the convergence of the algorithm.

Personalizing Evidence for Shoulder Fracture Patients Using an Extended Instrumental Variable Causal Forest Algorithm

Objective: To assess the ability of an extended Instrumental Variable Causal Forest Algorithm (IV-CFA) to provide personalized evidence of early surgery effects on benefits and detriments for elderly shoulder fracture patients. Data Sources/Study Setting: Population of 72,751 fee-for-service Medicare beneficiaries with proximal humerus fractures (PHFs) in 2011 who survived a 60-day treatment window after an index PHF and were continuously Medicare fee-for-service eligible over the period 12 months prior to index to the minimum of 12 months after index or death. Study Design: IV-CFA estimated early surgery effects on both beneficial and detrimental outcomes for each patient in the study population. Classification and regression trees (CART) were applied to these estimates to create patient reference classes. Two-stage least squares (2SLS) estimators were applied to patients in each reference class to scrutinize the estimates relative to the known 2SLS properties. Principal Findings: This approach uncovered distinct reference classes of elderly PHF patients with respect to early surgery effects on benefit and detriment. Older, frailer patients with more comorbidities, and lower utilizers of healthcare were less likely to gain benefit and more likely to have detriment from early surgery. Reference classes were characterized by the appropriateness of early surgery rates with respect to benefit and detriment. Conclusions: Extended IV-CFA provides an illuminating method to uncover reference classes of patients based on treatment effects using observational data with a strong instrumental variable. This study isolated reference classes of new PHF patients in which changes in early surgery rates would improve patient outcomes. The inability to measure fracture complexity in Medicare claims means providers will need to discuss the appropriateness of these estimates to patients within a reference class in context of this missing information.

Personalizing Evidence for Shoulder Fracture Patients Using an Extended Instrumental Variable Causal Forest Algorithm

Objective: To assess the ability of an extended Instrumental Variable Causal Forest Algorithm (IV-CFA) to provide personalized evidence of early surgery effects on benefits and detriments for elderly shoulder fracture patients. Data Sources/Study Setting: Population of 72,751 fee-for-service Medicare beneficiaries with proximal humerus fractures (PHFs) in 2011 who survived a 60-day treatment window after an index PHF and were continuously Medicare fee-for-service eligible over the period 12 months prior to index to the minimum of 12 months after index or death. Study Design: IV-CFA estimated early surgery effects on both beneficial and detrimental outcomes for each patient in the study population. Classification and regression trees (CART) were applied to these estimates to create patient reference classes. Two-stage least squares (2SLS) estimators were applied to patients in each reference class to scrutinize the estimates relative to the known 2SLS properties. Principal Findings: This approach uncovered distinct reference classes of elderly PHF patients with respect to early surgery effects on benefit and detriment. Older, frailer patients with more comorbidities, and lower utilizers of healthcare were less likely to gain benefit and more likely to have detriment from early surgery. Reference classes were characterized by the appropriateness of early surgery rates with respect to benefit and detriment. Conclusions: Extended IV-CFA provides an illuminating method to uncover reference classes of patients based on treatment effects using observational data with a strong instrumental variable. This study isolated reference classes of new PHF patients in which changes in early surgery rates would improve patient outcomes. The inability to measure fracture complexity in Medicare claims means providers will need to discuss the appropriateness of these estimates to patients within a reference class in context of this missing information.

SEVERAL DIMENSIONS, ANTHROPOMETRIC INDICES AND NUTRITIONAL CONDITION OF FRESHMEN IN HANOI MEDICAL UNIVERSITY, YEAR 2019-2020

Our aim is to describe the morphology, physical and nutritional status of Vietnamese medical students in the late years of second decade of the 21th Centery. A research about physical form included 861 freshmen (335 male, 526 female) from Hanoi Medical University (2019 - 2020): Male students’ physical form measurement and figures are much better than female students’ and these indices is largely better than the previous studies of other authors. Physical form seems to increase by the time, after 45 years: male was 9.5 cm higher and 15.9 kg heavier, female was 7.0 cm higher and 5.8 kg heavier. In comparison with students in 2007, male students were8.5 kgs heavier and female students were 3.9 kgs heavier. In comparison with a research ten years ago, the height of male and female increased 4.2 cm and 3.3 cm, respectively. According to an Asian - Pacific population classification, students from Hanoi Medical University had medium weight.

Copy Number Variations of Glycoside Hydrolase 45 Genes in Bursaphelenchus xylophilus and Their Impact on the Pathogenesis of Pine Wilt Disease

The pine wood nematode Bursaphelenchus xylophilus parasitizes millions of pine trees worldwide each year, causing severe wilt and the death of host trees. Glycoside hydrolase 45 genes of B. xylophilus are reported to have been acquired by horizontal gene transfer from fungi and are responsible for cell wall degradation during nematode infection. Previous studies ignored the possibility of copy number variations of such genes. In this study, we determined that two of the glycoside hydrolase 45 genes evolved to maintain multiple copies with distinct expression levels, enabling the nematode to infect a variety of pine hosts. Additionally, tandem repeat variations within coding regions were also detected between different copies of glycoside hydrolase 45 genes that could result in changes in protein sequences and serve as an effective biological marker to detect copy number variations among different B. xylophilus populations. Consequently, we were able to further identify the copy number variations of glycoside hydrolase 45 genes among B. xylophilus strains with different virulence. Our results provide new insights into the pathogenicity of B. xylophilus, provide a practical marker to genotype copy number variations and may aid in population classification.

Analysis of regional differentiation in the labor market

Russian regions have significant differences in the context of the labor market. Homogeneity is observed in terms of the main indicators of the labor market: unemployment rate, average monthly salary, number of economically active population. Classification of regions by individual indicators and assessment of the level of heterogeneity will make it possible to assess the imbalance. The result of the grouping and formation of a group of leaders and outsiders according to the indicators of the labor market development can become the mechanisms of formation of a stable labor market in the region.

Disaster Planning for Homeless Populations: Analysis and Recommendations for Communities

Homelessness is a growing problem, with perhaps greater than a 150 million homeless people globally. The global community has prioritized the problem, as eradicating homelessness is one of the United Nation’s sustainability goals of 2030. Homelessness is a variable entity with individual, population, cultural, and regional characteristics complicating emergency preparedness. Overall, there are many factors that make homeless individuals and populations more vulnerable to disasters. These include, but are not limited to: shelter concerns, transportation, acute and chronic financial and material resource constraints, mental and physical health concerns, violence, and substance abuse. As such, homeless population classification as a special or vulnerable population with regard to disaster planning is well-accepted. Much work has been done regarding best practices of accounting for and accommodating special populations in all aspects of disaster management. Utilizing what is understood of homeless populations and emergency management for special populations, a review of disaster planning with recommendations for communities was conducted. Much of the literature on this subject generates from urban homeless in the United States, but it is assumed that some lessons learned and guidance will be translatable to other communities and settings.

Managing ‘dangerous populations’: How colonial emergency laws shape citizenship

This article traces the historical foundations of current security legislation as the matrix of citizenship. Examining Israel’s new Counter-Terrorism Law against the backdrop of security legislation in India, its main proposition is that these laws and their effects are rooted in colonial emergency regulations and the bureaucratic mechanisms for population control developed therein, rather than in the ‘global war on terror’. The article offers an organizational vantage point from which to understand the development of population-classification practices in terms of an ‘axis of suspicion’ that conflates ‘political risk’ with ‘security risk’. Through an account of the formalization of emergency laws, it explains the effects of colonial bureaucracies of security upon independent regimes seeking legitimacy as new democracies by tracing decisions regarding the use of an inherited arsenal of colonial and settler-colonial practices of security laws for population management, particularly mobility restrictions, surveillance and political control. One of the most important of these effects is the shaping of the citizenship of targeted populations by security laws.

PEKERJA SEKTOR INFORMAL DI KOTA AMBON

This study aims to find out informal sector workers in Ambon city through case study. Determination of stratified random samples by first making the population classification according to certain characteristics and after that determined the number of samples with randomly selected system of 211 people, consisting of: people, seller drinks 109 people, fruit vendors 41, meatball seller 45 people. The data were analyzed quantitatively, in order to find out the utilization rate of labor force in the informal sector under study, the approach of the "Labor Utilization Approach" theory was used. The informal sector, whether viewed from the perspective of income, working hours, or education, is in a state of "adequate utilization". The informal sector workers in carrying out their business have earned some of the income they use to support their families and continue their business. The informal sector in maintaining its existence faces various problems. A particularly prominent problem is the lack of capital, the place of business, and the marketing of results.