Exploring the Impact of Factors Affecting the Lifespan of HIVs/AIDS Patient’s Survival: An Investigation Using Advanced Statistical Techniques

This study investigates the impact of various factors on the lifespan and diagnostic time of HIV/AIDS patients using advanced statistical techniques. The Power Chris-Jerry (PCJ) distribution is applied to model CD4 counts of patients, and the goodness-of-fit test confirms a strong fit with a p-value of 0.6196. The PCJ distribution is found to be the best fit based on information criteria (AIC and BIC) with the smallest negative log-likelihood, AIC, and BIC values. The study uses datasets from St. Luke hospital Uyo, Nigeria, containing HIV/AIDS diagnosis date, age, CD4 count, gender, and opportunistic infection dates. Multiple linear regression is employed to analyze the relationship between these variables and HIV/AIDS diagnostic time. The results indicate that age, CD4 count, and opportunistic infection significantly impact the diagnostic time, while gender shows a nonsignificant relationship. The F-test confirms the model's overall significance, indicating the factors are good predictors of HIV/AIDS diagnostic time. The R-squared value of approximately 72% suggests that administering antiretroviral therapy (ART) can improve diagnostic time by suppressing the virus and protecting the immune system. Cox proportional hazard modeling is used to examine the effects of predictor variables on patient survival time. Age and CD4 count are not significant factors in the hazard of HIV/AIDS diagnostic time, while opportunistic infection is a significant predictor with a decreasing effect on the hazard rate. Gender shows a strong but nonsignificant relationship with decreased risk of death. To address the violation of the assumption of proportional hazard, the study employs an assumption-free alternative, Aalen’s model. In the Aalen model, all predictor variables except age and gender are statistically significant in relation to HIV/AIDS diagnostic time. The findings provide valuable insights into the factors influencing diagnostic time and survival of HIV/AIDS patients, which can inform interventions aimed at reducing transmission and improving early diagnosis and treatment. The Power Chris-Jerry distribution proves to be a suitable fit for modeling CD4 counts, while multiple linear regression and survival analysis techniques provide insights into the relationships between predictor variables and diagnostic time. These results contribute to the understanding of HIV/AIDS patient outcomes and can guide public health interventions to enhance early detection, treatment, and care.

Exploring the Impact of Factors Affecting the Lifespan of HIVs/AIDS Patient’s Survival: An Investigation Using Advanced Statistical Techniques

This study investigates the impact of various factors on the lifespan and diagnostic time of HIV/AIDS patients using advanced statistical techniques. The Power Chris-Jerry (PCJ) distribution is applied to model CD4 counts of patients, and the goodness-of-fit test confirms a strong fit with a p-value of 0.6196. The PCJ distribution is found to be the best fit based on information criteria (AIC and BIC) with the smallest negative log-likelihood, AIC, and BIC values. The study uses datasets from St. Luke hospital Uyo, Nigeria, containing HIV/AIDS diagnosis date, age, CD4 count, gender, and opportunistic infection dates. Multiple linear regression is employed to analyze the relationship between these variables and HIV/AIDS diagnostic time. The results indicate that age, CD4 count, and opportunistic infection significantly impact the diagnostic time, while gender shows a nonsignificant relationship. The F-test confirms the model's overall significance, indicating the factors are good predictors of HIV/AIDS diagnostic time. The R-squared value of approximately 72% suggests that administering antiretroviral therapy (ART) can improve diagnostic time by suppressing the virus and protecting the immune system. Cox proportional hazard modeling is used to examine the effects of predictor variables on patient survival time. Age and CD4 count are not significant factors in the hazard of HIV/AIDS diagnostic time, while opportunistic infection is a significant predictor with a decreasing effect on the hazard rate. Gender shows a strong but nonsignificant relationship with decreased risk of death. To address the violation of the assumption of proportional hazard, the study employs an assumption-free alternative, Aalen’s model. In the Aalen model, all predictor variables except age and gender are statistically significant in relation to HIV/AIDS diagnostic time. The findings provide valuable insights into the factors influencing diagnostic time and survival of HIV/AIDS patients, which can inform interventions aimed at reducing transmission and improving early diagnosis and treatment. The Power Chris-Jerry distribution proves to be a suitable fit for modeling CD4 counts, while multiple linear regression and survival analysis techniques provide insights into the relationships between predictor variables and diagnostic time. These results contribute to the understanding of HIV/AIDS patient outcomes and can guide public health interventions to enhance early detection, treatment, and care.

Available Contents of Trace Nutrient Element and Factors Affecting Their Availability in Western Jilin

Based on the assay of the total content and available content of the trace nutrient elements and the soil pH and organic matter of the soil samples,the characteristic of the available content of the trace nutrient elements and their affecting factors are studied. The results show that the available B in western Jilin is in a middle level,the content in Nong'an is higher than that in the others; the available Mn is extremely abundant; the available Cu in Nong'an is obviously higher than other areas,and the content in Da'an differs greatly; the available Zn is in a middle level; the severe shortage of available Mo differs between different areas; and the available Fe is extremely abundant. The available Mn,Cu and Fe have significantly positive correlation with their total content; the available B has significantly positive correlation with pH,and Zn has obviously negative correlation with pH; the available Mn and Fe had significantly positive correlation with soil organic matter.

Affective Factors in English Teaching

Affective factors and cognitive factors are two important parts of English learning, However, English teaching in recent years have taken into special consideration the necessity of knowledge and intelligence and comparatively ignored the development of affection. It may greatly reduce students＇ English learning capacity and limit the whole development of students. This paper will discuss the definition and the importance of affection and some main affective factors, and illustrate some implications of how to implement practical affective activities.

Adjustment to affective factors in English learning by using Internet English Curriculum Resource

The new curriculum standard points out that affection is one of the most important goals of fundamental education. The non-target language environment is easier to cause the affective change of middle school students who are changeable in their affective state. Based on the affective filter hypothesis, this paper deals with the adjustment to affective factors in English learning by using Internet English Curriculum Resource, such as attitude and motivation, anxiety and inhibition, self-esteem and self-confidence. At last, some suggestions are offered to judge Internet English Curriculum Resource.

On Factors Affecting Listening Comprehension

In English teaching and learning,listening ability is an important part of communicative competence,is a very practical integrated skill.It has been a difficult skill in second language acquisition for many students.Many Chinese students are skilled in reading,but often they tend to neglect the listening.However,owing to the higher requirements of many English tests and the great importance in communication,students begin to pay attention to develop their English listening skills.But there are many factors affecting listening,the paper mainly focuses on linguistic factors and non-linguistic factors that affect listening,to provide a theoretical basis to help exploring ways of improving listening and comprehension skills.

Affective Factors in Vocational College Students'English Learning

This paper focuses on the vocational college students' experiences in English learning, classroom activities, attitudes to their English learning and achievements. It aims to find out how to make use of their positive personal factors to improve their English achievement so that both vocational college teachers and students may gain some enlightenment from the study.

Affective Factors——Key Factors Influencing College Learners'Classroom

Foreign language teaching has shifted from teacher-centered teaching method to student-centered in recent years.Affective factors should be paid enough attention in teacher-learner interaction in.This paper aims to make an exploration into the effects of affective factors in college learners'classroom.

The Application of Affective Factors in College English Listening Teaching

The paper mainly discusses the importance of affective factors in college English listening teaching and gives some sug gestions on how to cultivate students'positive affective factors.

Affecting Factors and Improving Measures for Converter Gas Recovery

To change the undesirable present situation of recovering and using converter gas in steel plants in China, the basic approaches to improving the converter gas recovery rate were analyzed theoretically along with the change curves of the converter gas component content, based on the converter gas recovery system of Baosteel No. 2 steel- making plant. The effects of converter device, raw material, air imbibed quantity, recovery restricted condition, and intensity of oxygen blowing on the converter gas recovery rate were studied. Among these, the effects of the air im bibed quantity, recovery restricted condition, and intensity of oxygen blowing are remarkable. Comprehensive measures were put forward for improving the converter gas recovery from the point of devices, etc. , and good results were achieved.

Systematic Analysis on Factors Affecting the Development of Rural Tourism: A Case Study of Chengdu

Based on field survey, the thesis analyzes the key factors affecting development of rural tourism systematically, taking Chengdu as an example. These factors include regional e-conomic development level & leisure tradition, tourist market & traffic, tourist resource, spatial agglomeration and competition of rural tourism, and decision-making behavior. Among them, regional economic development level & leisure tradition and tourist market & traffic are prerequisites for the development of rural tourism which have an impact on tourist' s consumption level, consumption custom, operator's investment ability, tourist destination distribution and scale; Tourist resource, spatial agglomeration and competition of rural tourism are restrictive conditions affecting character and distribution of rural tourism; Government's decision-making behavior is of importance for expansion of scale and popularity of regional rural tourism, meanwhile, operators' decision-making behavior includes investment scale and operational strategies, and for operators from the outside, location selection is included additionally. All these decision-making behaviors are subjective conditions for the development of rural tourism.

Preparation of Chinese fir wood/MMT nanocomposites and the factors affecting it

The nano intercalation compounding of wood and MMT has important implications for the modification of wood and for the development of new materials. With water-soluble phenol formaldehyde resin as an intermediary, the nanocomposites of Chinese fir （Cunningharnia lanceolata） wood and montmorillonite （MMT） were prepared via three impregnation methods, i.e. normal pressure, once and twice vacuum methods. Based on the weight percent gain （WPG） of impregnated wood, the effects of compounding wood and MMT in terms of concentration, impregnating temperature and time, wood moisture content and wood extraction treatments, on sapwood and heartwood are discussed. Results show that： 1） the optimum MMT concentration in the impregnation solution is 3% for sapwood and 5% for heartwood; 2） room temperature is suitable in practice; 3） treatment pressure should be set at a high enough value in order to ensure sufficient permeation; 4） the effects of different impregnation methods on sapwood and heartwood are different, the heartwood extractives affect WPG significantly; cell wall permeability of sapwood is better than that of heartwood; 5） the cold water, hot water and benzene-ethanol solution extractions can all greatly improve the permeability of heartwood, hot water can dissolve some hemicellulose of low aggregation and hot water extraction improves wood cell wall permeability; 6） with an increase in wood moisture content, the permeable space in wood is reduced, but with a certain amount of water, instantaneous spaces are created and the permeation dynamic increases. This effect is especially apparent for difficult impregnating situations in heartwood and impregnation under normal pressure.

Numerical analysis of factors affecting the range of heat transfer in earth surrounding three subways

In order to examine the factors which affect the range of heat transfer in earth surrounding subways, FLAC3D was adopted in this study to analyze these factors, under different conditions, in a systematic manner. When we compare these numerical tests, the results show that the main factors, affecting the heat transfer range are the thermal properties of the surrounding earth, the initial ground temperature and the temperature in the tunnel. The heat transfer coefficient between air and linings has little effect on the temperature distribution around the tunnel. The current results can provide a reference for improving the thermal environment in subways and optimizing the design of subwav ventilation and air conditioning.

Factors Affecting Patient Satisfaction with Community Health Service under the Gatekeeper System:A Cross-sectional Study in Nanjing,China

The gatekeeper policy has been implemented for approximately ten years on a pilot population in China. It is necessary to assess the satisfaction of patients utilizing community health service（CHS） under the gatekeeper system. Our study showed that the cognition of gatekeeper policy was associated with four dimensions including doctor‐patient relationships, information and support, organization of care, and accessibility（P 〈 0.001）. One or more factors such as gender and self‐perceived health scores also affected their satisfaction. General practitioners must be prepared to focus on these aspects of information and support, organization of care, and accessibility as indicators of potential opportunities for improvement. Additionally, policymakers can improve patients＇ satisfaction with CHS by strengthening their awareness of the gatekeeper policy.

Factors Affecting Transformation Temperatures in Fe-Mn-Si-Cr-Ni Shape Memory Alloy

The effects of prestrain and annealing temperature on phase transformation temperatures in Fel4Mn5Si8Cr4Ni shape memory alloy have been studied. The results showed that when the annealing temperature was 673 K, both the At and the Ms temperatures increased appreciably as the prestrain increased, the As temperature increased slightly with increasing prestrain; the resistivity difference at 303 K between the heating and cooling curve also increased with increasing prestrain, which agreed with the recovery strain. The shape memory effect in Fe-Mn-Si-Cr-Ni shape memory alloy is caused by the stress-induced γ→ε martensite transformation and its reverse transformation. When the prestrain was 10%, the Ms temperature decreased remarkably as the annealing temperature increased.

Evaluation of factors affecting psychological morbidity in emergency medicine practitioners

BACKGROUND: Assessing and evaluating mental health status can provide educational planners valuable information to predict the quality of physicians' performance at work. These data can help physicians to practice in the most desired way. The study aimed to evaluate factors affecting psychological morbidity in Iranian emergency medicine practitioners at educational hospitals of Tehran.METHODS: In this cross sectional study 204 participants(emergency medicine residents and specialists) from educational hospitals of Tehran were recruited and their psychological morbidity was assessed by using a 28-question Goldberg General Health Questionnaire(GHQ-28). Somatization, anxiety and sleep disorders, social dysfunction and depression were evaluated among practitioners and compared to demographic and job related variables.RESULTS: Two hundreds and four participants consisting of 146(71.6%) males and 58(28.4%) females were evaluated. Of all participants, 55(27%) were single and 149(73%) were married. Most of our participants(40.2%) were between 30–35 years old. By using GHQ-28, 129(63.2%) were recognized as normal and 75(36.8%) suffered some mental health disorders. There was a signifi cant gender difference between normal practitioners and practitioners with disorder(P=0.02) while marital status had no significant difference(P=0.2). Only 19(9.3%) declared having some major mental health issue in the previous month.CONCLUSION: Females encountered more mental health disorders than male(P=0.02) and the most common disorder observed was somatization(P=0.006).

Analysis and Research of Factors Affecting Coal Mining with Plough

Coal mining with ploughs is an ideal coal mining technology for thin and thinner coal seams. The existence conditions of coal seams are different for each other, which affects coal mining with ploughs to different degrees, and the application results are also different. The authors analyze the affecting factors by means of mathematical methods. The research is useful to the wide application of ploughs.

Evaluation of the Distribution and Factors Affecting Blood Pressure Using Medical Checkup Data in Japan

In this paper, we first evaluated the distribution of blood pressure (BP) using a dataset containing 113,979 measurements in 48,022 individuals with the cooperation of one health insurance society in Japan from April, 2013 to March, 2016. The means of the systolic BP (SBP) and diastolic BP (DBP) were 125.4 and 77.6 mmHg with standard deviations of 16.5 and 11.7 mmHg, respectively. Under the 140/90 criterion, 21.6% of the measurements showed hypertension. According to the World Health Organization/International Society of Hypertension criterion, 16.4%, 4.2% and 0.96% were classified as grades 1, 2 and 3, respectively. The factors affecting BP were evaluated by a regression analysis and were found to include age, gender, some eating habits, daily activities, smoking, drinking alcohol, sleeping and wages. Age was a very important factor, and the age cohorts from the previous study might be revised based on these findings. Among factors that individuals can control, the influence of drinking alcohol is very large. Comparing to an individual who does not drink, SBP and DBP of a heavy drinker are more than 5.0 mmHg higher on the average.

An Analysis of the Medical Costs of and Factors Affecting Diabetes Using the Medical Checkup and Payment Dataset in Japan: Can We Reduce the Prevalence of Diabetes?

Background: The cost and economic burden of diabetes are a serious worldwide issue. In this study, we evaluated medical payments for persons diagnosed with diabetes and the factors that led to a person having diabetes to reduce its prevalence. Methods: A dataset containing 113,979 medical checkups and 3,671,783 monthly medical, dental, care-giving and pharmacy payment records of one health insurance society was used. The dataset contains information of normal and healthy persons. The sample period ran from April, 2013 to March, 2016. The medical payments for persons diagnosed with diabetes were calculated. The regression analysis was used to remove the effects of age and gender. The probit analysis was used to analyze the factors that led to a person having diabetes. Results: In 2.9% of cases, the person undergoing the checkup was diagnosed with diabetes, and the medical payments for these patients were 2.7 times as much as the average medical payment per person. This result did not change significantly even if age and gender were considered. The results of the probit analysis suggested that body mass index, high systolic blood pressure, low diastolic blood pressure, eating habits, physical activities, smoking, drinking alcohol and sleeping were important factors for diabetes. Conclusion: The diabetes might be a costlier disease than previously thought in Japan. By the estimation, 8% of all medical payments were made for these persons with diabetes, which is much higher than the result shown by national survey data. However, overall prevalence could be recused by efforts such as prevention of overweight and obesity.

A Study of SLA Affective Factors and Implications on Learning Strategies

Second language acquisition is a complex psychological process which comprises acquirement of phonetics,vocabulary,grammar and many unacquainted points.Facing a new linguistic system that represents a different culture and a novel way of thinking,the learners have to work hard to cross the boundary of language for mastering it.This needs not only a simple literal course,but also a psychological one that mainly refers to sensations,attitudes and mood which are called the affective factors.This essay aims at discussing the related affective factors in second language acquisition that may have a positive or negative impact on the effect of mastering a second language for learners because the positive emotions can play an effective role in language learning practice of quickening the language acquisition while the negative emotions are a hindrance of mental perception,comprehension,and memory function.Thus,applying those positive affective factors during the process is a vital way to help learners study English effectively.