Insights into "wheat aroma": Analysis of volatile components in wheat grains cultivated in saline-alkali soil.

The wheat grains that are cultivated in saline-alkali soil exhibit a richer "wheat aroma" compared to their counterparts. This study characterized the composition and content of volatiles in five wheat kernel varieties, harvested from two fields with varying pH levels and total salt content in the soil. The wheat grown in soil with high pH and total salt content had significantly lower levels (p < 0.05) of ethyl 3-methylbutanoate and 1-octen-3-one and significantly higher levels (p < 0.05) of 1-butanol and 1-octen-3-ol. Among all factors, plant site contributed the highest F-value contribution rate (more than 77 %) for these four volatile compounds. Six e-nose sensors responsive to these four compounds exhibited consistent trends. Therefore, the lower of ethyl 3-methylbutanoate and 1-octen-3-one, the higher of 1-butanol and 1-octen-3-ol in wheat, grown on saline-alkali soil, served as characteristic markers for "wheat aroma".

Muti-factor analysis of sport activity level after high tibial osteotomy.

BACKGROUND: Although many studies have shown that high tibial osteotomy is appropriate for active patients, there are limited multifactorial studies on patients' sport activity level after HTO in general population. METHODS: 158 patients who underwent HTO for knee osteoarthritis between January 2016 and December 2019 are included, with a 36-month follow-up. Information was collected from X-rays and questionnaire. The independent variables were age, sex, breadwinner (provide more than 50% income), sport activity level when the knee was pain-free before and after surgery, concomitant meniscal treatment history, Lysholm knee score, desire level for returning to sports. The 158 cases are divided into three groups according to their sports participation before and after operation, Chi-square tests and ANOVA analysis were adopted to identify the effect of these variables on sport activity level after HTO, and factors with statistical differences and clinical relevancies, or provided by previous research were assessed with the ordinal logistic regression analysis. RESULTS: According to sport activity level analysis, 28(17.7%) patients were categorized into the sport level-reduced group, 97(61.4%) patients into the sport level-unchanged group, and 33(20.9%) patients into the sport level-improved group. Upon ordinal logistic regression analysis, postoperative MA%, age, BMI, and preoperative Lysholm knee score were statistically significant. CONCLUSIONS: Higher postoperative MA%, younger age, lower BMI, and lower Lysholm score are associate with improvement on activity level after HTO. This finding provides valuable references in operation option and rehabilitation planning.

Whole blood donation related adverse reactions and predisposing factors: a study of blood donors interviewed within 2 weeks after donation / 中国输血杂志

【Objective】 To study the adverse reactions(ADRs) in blood donors after whole-blood donation in terms of frequency and types, so as to explore the predisposing factors of adverse reactions. 【Methods】 A questionnaire was designed to investigate ADRs within 2 weeks after whole blood donation. A total of 812 whole blood donors were randomly selected from September to October 2021. They were interviewed by trained medical staff before leaving the site after blood donation, then followed up by telephone 24 hours and 2 weeks after blood donation. The frequency and type of ADRs were surveyed, and the physical examination data such as gender, age, blood pressure, mean arterial pressure (MAP) and weight were collected to, analyze the predisposing factors that correlated with ADRs. 【Results】 Finally, 734 people [90.39% (734/812)], with valid demographic and physical examination information, were included in this study after on-site interviews and two follow-ups within two weeks after blood donation. The incidence of ADRs was 13.22% (97/734), of which the incidence of on-site vasovagal reactions during blood donation was 10.49% (77/734) (with the constituent ratio as 79.38%, 77/97)and the incidence of ADRs ≤ 2 weeks after leaving the blood collection site was 2.73% (20/734, including 12 donors had (1.63%, 12/734) local symptoms)(with the constituent ratio as 20.62%, 20/97). Multivariate logistic regression analysis showed that the factors influencing the occurrence of ADRs were as follows: 400mL-blood donation (OR 6.312, 95% CI 3.336-11.944), 45~60kg weight (OR 3.744, 95% CI 2.017-6.949), MAP ≤ 90 mmHg (OR 3.101, 95% CI 1.416-6.788), novel blood donor (OR 2.237, 95% CI 1.199-4.174), age of 18~30 years (OR 2.197, 95% CI1.107-4.361), female (OR 1.871, 95% CI 1.026-3.413); blood pressure, occupation, education background, body mass index (BMI) and Hb of blood donors were not the influencing factors and risk predictors of ADRs. 【Conclusion】 The application of on-site interview and two follow-ups after donation can effectively obtain the true information of blood donors′ ADRs, which can timely grasp and predict the relevant factors affecting the occurrence of ADRs, so as to take targeted preventive measures to ensure the safety of blood donors.

Multi-factor analysis of algal blooms in gate-controlled urban water bodies by data mining.

Intense human disturbance has made algal bloom a prominent environmental problem in gate-controlled urban water bodies. Urban water bodies present the characteristics of natural rivers and lakes simultaneously, whose algal blooms may manifest multi-factor interactions. Hence, effective regulation strategies require a multi-factor analysis to understand local blooming mechanisms. This study designed a holistic multi-factor analysis framework by integrating five data mining techniques. First, the Kolmogorov-Smirnov test was conducted to screen out the possible explanatory variables. Then, correlation analyses and principal component analyses were performed to identify variable collinearity and mutual causality, respectively. After collinearity and mutual causality were treated prudently by using orthogonalization and instrumental variables, multilinear regression can be properly conducted to quantify factor contributions to algae growth. Lastly, a decision tree was used innovatively to depict the limiting threshold curves of each driving factor that restricts algae growth under different circumstances. The driving factors, their contributions, and the limiting threshold curves compose the complete blooming mechanisms, thus providing a clear direction for the targeted regulation task. A typical case study was performed in Suzhou, a Chinese city with an intricate gate-controlled river network. Results confirmed that climatic factors (i.e., water temperature and solar radiation), hydrodynamic factors (i.e., flow velocity), nutrients (i.e., phosphorus and nitrogen), and external loadings contributed 49.3%, 21.7%, 21.3%, and 7.7%, respectively, to algae growth. These results indicate that a joint regulation strategy is urgently required. Future studies can focus on coupling the revealed mechanisms with an ecological model to provide a comprehensive toolkit for the optimization of an adaptive joint regulation plan under the background of global warming.

[Influential factors related to the long-term effect of periodontal-orthodontic treatment in patients with aggressive periodontitis and malocclusion].

Objective: To investigate the influential factors related to the long-term effect of periodontal-orthodontic treatment in patients with aggressive periodontitis (AgP). Methods: A retrospective analysis was conducted in 25 AgP patients, who have received periodontal-orthodontic treatment in Peking University School and Hospital of Stomatology. Changes in the ratio of the residual alveolar bone height (RBH) was measured at three time points: baseline (T0), post orthodontic treatment (T1), and the last re-visit 3 years after orthodontic treatment (T2). Root abnormity was evaluated by observing periapical radiographs, and its relationship with alveolar bone loss after orthodontic treatment was analyzed. A multi-level analysis on factors related to the clinical outcome (alveolar bone height change) was performed. Results: Totally 693 teeth of 25 patients at T0 and T1 and 368 teeth of 14 patients at T2 were investigated. During the periodontal-orthodontic treatment, the RBH was mainly influenced by root abnormity (estimation value -2.392), tooth position (estimation value for upper teeth vs. lower teeth 3.139, and anterior teeth vs. posterior teeth -3.469) and the baseline RBH at T0 (estimation value -0.391) (P<0.05). Teeth with root abnormity, teeth in mandibular and anterior area, and teeth with higher RBH showed less change in T1-T0 RBH values. In the long-term follow-up, RBH was mainly influenced by tooth position (estimation value for upper teeth vs. lower teeth 3.735, and anterior teeth vs. posterior teeth -5.318), the baseline RBH and probing depth (PD) at T0. Teeth in mandibular and anterior area, teeth with higher RBH (estimation value -0.498) and PD (estimation value -1.594) (P<0.05) showed less change in T0-T2 RBH values. Conclusions: During orthodontic treatment, teeth with abnormal root, lower teeth, anterior teeth, and teeth with high RBH were unfavorable factors for bone gain. In the long-term observation, lower teeth, anterior teeth, teeth with high RBH and PD at first visit were unfavorable factors for bone gain.

Influential factors related to the long-term effect of periodontal-orthodontic treatment in patients with aggressive periodontitis and malocclusion / 中华口腔医学杂志

Objective@#To investigate the influential factors related to the long-term effect of periodontal-orthodontic treatment in patients with aggressive periodontitis (AgP).@*Methods@#A retrospective analysis was conducted in 25 AgP patients, who have received periodontal-orthodontic treatment in Peking University School and Hospital of Stomatology. Changes in the ratio of the residual alveolar bone height (RBH) was measured at three time points: baseline (T0), post orthodontic treatment (T1), and the last re-visit 3 years after orthodontic treatment (T2). Root abnormity was evaluated by observing periapical radiographs, and its relationship with alveolar bone loss after orthodontic treatment was analyzed. A multi-level analysis on factors related to the clinical outcome (alveolar bone height change) was performed.@*Results@#Totally 693 teeth of 25 patients at T0 and T1 and 368 teeth of 14 patients at T2 were investigated. During the periodontal-orthodontic treatment, the RBH was mainly influenced by root abnormity (estimation value −2.392), tooth position (estimation value for upper teeth vs. lower teeth 3.139, and anterior teeth vs. posterior teeth −3.469) and the baseline RBH at T0 (estimation value −0.391) (P<0.05). Teeth with root abnormity, teeth in mandibular and anterior area, and teeth with higher RBH showed less change in T1-T0 RBH values. In the long-term follow-up, RBH was mainly influenced by tooth position (estimation value for upper teeth vs. lower teeth 3.735, and anterior teeth vs. posterior teeth −5.318), the baseline RBH and probing depth (PD) at T0. Teeth in mandibular and anterior area, teeth with higher RBH (estimation value -0.498) and PD (estimation value -1.594) (P<0.05) showed less change in T0-T2 RBH values.@*Conclusions@#During orthodontic treatment, teeth with abnormal root, lower teeth, anterior teeth, and teeth with high RBH were unfavorable factors for bone gain. In the long-term observation, lower teeth, anterior teeth, teeth with high RBH and PD at first visit were unfavorable factors for bone gain.

MultiDCoX: Multi-factor analysis of differential co-expression.

BACKGROUND: Differential co-expression (DCX) signifies change in degree of co-expression of a set of genes among different biological conditions. It has been used to identify differential co-expression networks or interactomes. Many algorithms have been developed for single-factor differential co-expression analysis and applied in a variety of studies. However, in many studies, the samples are characterized by multiple factors such as genetic markers, clinical variables and treatments. No algorithm or methodology is available for multi-factor analysis of differential co-expression. RESULTS: We developed a novel formulation and a computationally efficient greedy search algorithm called MultiDCoX to perform multi-factor differential co-expression analysis. Simulated data analysis demonstrates that the algorithm can effectively elicit differentially co-expressed (DCX) gene sets and quantify the influence of each factor on co-expression. MultiDCoX analysis of a breast cancer dataset identified interesting biologically meaningful differentially co-expressed (DCX) gene sets along with genetic and clinical factors that influenced the respective differential co-expression. CONCLUSIONS: MultiDCoX is a space and time efficient procedure to identify differentially co-expressed gene sets and successfully identify influence of individual factors on differential co-expression.

Analysis of Correlated Factors Affecting Tumor Volume Doubling Time of Breast Cancer / 实用医学杂志

Objective To measure volume of breast cancer , calculate tumor volume doubling time (TVDT), and analyze the correlated factors affecting TVDT using three-dimensional ultrasound (3D-US). Methods We applied 3D-US to measure the volume of breast cancer of BI-RADS-US 4A classified by conventional ultrasound. The breast cancer case scanned by 3D-US at least twice (the interval is 3 months at least) without any medical intervention were included in the study. We calculated TVDT according to the formula, and analyzed the affecting factors of TVDT using multiple linear regression. Results Sixty-nine cases were enrolled in the study. The TVDT of breast cancer were from 66 to 521 days , in an average of 185 ± 126 days and the median time of 164 days. We found that: ① there were no statistics significances in TVDT between different breast cancer pattern , smoothing border lines , speculated sign , hyperechoic halo , microcalcification and different rear echo (P > 0.05). ② TVDT of different age groups, lymph node metastasis, pathological grade and NPI score were significantly different (P 0.05). ③ TVDT of patients with different expression of ER, PR and Ki-67, molecular typing showed statistically difference (P 0.05). ④ multi-factor analysis showed that the NPI score, lymph node metastasis, Ki-67 and molecular typing of breast cancer were relative factors in TVDT (P < 0.05). Conclusions The NPI score , lymph node metastasis , Ki-67 and molecular typing significantly correlate with TVDT of breast cancer. Triple-negative breast cancer in molecular typing has the fastest growth rate.

Key factor analysts for excessive fast rise of medical expenses / 中华医院管理杂志

Excessive and fast rise of medical expenses in China recent years has worsened the financial burden of both the government and individuals alike,making it a hotspot issue countrywide.To alleviate the difficulties of "accessibility to medical services" and "poverty or repoverty resulting from sickness" faced by the Chinese people at large,we built a multi-factor analysis model to identify key factors contributing to such a fast rise of medical expenses based on an analysis of the medical expenses in Shandong Province.In addition,we discussed the causes for GDP and headcount of medical staff in relation to the rise of medical expenses,and the strategies to curb expenses.

Analysis of expenditure in the medical insurant inpatients / 医学研究生学报

Objectives: To investigate the affecting factors on expenditure in Medical insurant inpatients. Methods: 593 medical insurant inpatients, who were from Feb 1, 2001 to Feb 31, 2002 in Nanjing Jinling hospital, were enrolled in this study. The inpatient expenditure was analyzed from the aspect of operation or not, age, and payment mode, used the descriptive analysis and multi factor analysis on affecting factors of the total expense, self bearing expense, and self affording expense. Results: The hospitalized days, operation or not, severity of disease were important affecting factors. The self bearing expense of medical insurant inpatients was associated with hospitalized days, operation or not, and total expense. While the self affording expense of them was associated with expense of drug, hospital bunk, radiation and others. Conclusions: We can control these associated affected factors to lighten the economic weight of patients, and to reduce the ratio of individual payment.

ANALYSIS OF PSYCHOLOGIC HEALTH STATE AND INFLUENCING FACTORS IN COLLEGE AND SECONDARY SCHOOL STUDENTS IN SHAANXI PROVINCE / 药物分析学报

ObjectiveThe psychologic health level of college and secondaryschool students and the relevant fac- tors were investigated to scientific basis and guidance for school mental health work. MethodsStandard 1251 cases were drawn from 1% of students in colleges and middle schools of Shaanxi province. Taking 14 psychic health level indexes in SCL-90 as dependent variable and 109 indexes of psychic health back ground as in-dependent variable, multi-factor analyses have been made. Results22.6 % of students had relatively serious psychological problems. The score of SCL-90 in females was a little bit higher than that in males. The scores of students at both universities and se- nior middle schools were higher than that in junior middle schools students. The score of SCL-90 of students who came from the countryside was higher than that of city students. The score of the whole students was higher than that of the normal. The students with psychic problems showed obsession, interpersonal sensitivity, depression, anxiety, paranoia and hostility. Factor-analysis showed that influencing factors included history of positive individual risking behavior, physical conditions,grade,address, family influences, menses and sexual prombles, bad relation with others, poor self-assessment. ConclusionThe psychologic health level of the students investigated is lower than that of the whole society. The factors, which hamper psychic health of students, are biological ,psychological and social in nature.

Use of hospitalization services by residents of Dongying and its influencing factors / 中华医院管理杂志

Objective To assess the use of hospitalization services by urban and rural residents of Dongying City and its influencing factors. Methods A survey on health services in the whole city was conducted in 2002 and on the basis of a descriptive analysis of the data, an analysis of the influencing factors of hospitalization probability was made by means of logistic regression. Results The hospitalization ratio of urban and rural residents of Dongying averaged 57‰ whereas the ratio of nonhospitalization averaged 42‰, both being higher than the average national levels. The hospitalization ratio of urban residents was 76‰ whereas that of rural residents was 46‰, the former being significantly higher than the latter. Factors influencing hospitalization probability chiefly included sex, age, income, and medical insurance system. Conclusion It is suggested that the process of regional health planning be accelerated and systems of medical security and medical aid be adopted.

Neuroses in Medical Students / 中国心理卫生杂志

Objective:To screen neuroses in medical students and explore related factors.Method:Totally 1677 college students were screened by Neuroses Screener,who was positive(scored 2 or more)was investigated with Questionnaire on History of Neuroses and interviewed by psychiatrist.Psychiatric diagnosis was made if necessary according to CCMD-2-R.EPQ,EMBU and Quality of Life Scale were applied to all subjects.Multi-factor analysis was made.Results:Negative life events,unhealthy parentai education and neuroticism in EPQ were main factors influencing the incidence of neurosis.EPQ-E and warmth from parents had protective effect on occurrence of neurosis.Conclusion:Neuroticism is the basis of neurosis,unhealthy parental education and negative life events precipitate the occurrence of neurosis.Exorcism and warmth of parents have protective effect.

A study on prognostic factors of severe SARS: a clinical analysis of 165 cases / 解放军医学杂志

Objective To analyze the single factor affecting prognosis of SARS, and to establish a model of regression analysis for multiple factors affecting the prognosis of the disease. Methods SPSS 11.0 and SDAS software packages were used to retrospectively analyze the clinical features of SARS in 165 clinically confirmed severe cases. Meanwhile, single-factor and logistic multivariate regression analyses were conducted for SARS prognosis to establish a regression model for SARS prognosis analysis. Results (1) In patients with SARS, the age was significantly correlated to prognosis (r=0.506, P0, then P y=1 was over 0.5, it denoted death of the patient. In condition of S