Clarifying the relationship and analyzing the influential factors of bronchial asthma in children with attention-deficit hyperactivity disorder

BACKGROUND Bronchial asthma is closely related to the occurrence of attention-deficit hyperactivity disorder(ADHD)in children,which can easily have adverse effects on children’s learning and social interactions.Studies have shown that childhood asthma can increase the risk of ADHD and the core symptoms of ADHD.Compared with children with ADHD alone,children with asthma and ADHD are more likely to show high levels of hyperactivity,hyperactive-impulsive and other externalizing behaviors and anxiety in clinical practice and have more symptoms of somatization and emotional internalization.AIM To explore the relationship between ADHD in children and bronchial asthma and to analyze its influencing factors.METHODS This retrospective cohort study was conducted at Dongying People's Hospital from September 2018 to August 2023.Children diagnosed with ADHD at this hospital were selected as the ADHD group,while healthy children without ADHD who underwent physical examinations during the same period served as the control group.Clinical and parental data were collected for all participating children,and multivariate logistic regression analysis was employed to identify risk factors for comorbid asthma in children with ADHD.RESULTSSignificant differences were detected between the ADHD group and the control group in terms of family history ofasthma and allergic diseases, maternal complications during pregnancy, maternal use of asthma and allergymedications during pregnancy, maternal anxiety and depression during pregnancy, and parental relationshipstatus (P < 0.05). Out of the 183 children in the ADHD group, 25 had comorbid asthma, resulting in a comorbidityrate of 13.66% (25/183), compared to the comorbidity rate of 2.91% (16/549) among the 549 children in the controlgroup. The difference in the asthma comorbidity rate between the two groups was statistically significant (P <0.05). The results of the multivariate logistic regression analysis indicated that family history of asthma and allergicdiseases, maternal complications during pregnancy, maternal use of asthma and allergy medications duringpregnancy, maternal anxiety and depression during pregnancy, and parental relationship status are independentrisk factors increasing the risk of comorbid asthma in children with ADHD (P < 0.05).CONCLUSIONChildren with ADHD were more likely to have comorbid asthma than healthy control children were. A familyhistory of asthma, adverse maternal factors during pregnancy, and parental relationship status were identified asrisk factors influencing the comorbidity of asthma in children with ADHD. Clinically, targeted interventions basedon these factors can be implemented to reduce the risk of comorbid asthma. This information is relevant for resultssections of abstracts in scientific articles.

Exploring the Forest Cover Changes and Influential Factors of Dongsithouane National Production Forest Area, Savannakhet Province, Lao PDR

The Dongsithouane National Production Forest (DNPF) is one of the largest natural forest areas in Savannakhet, Lao PDR, which has been a vital support for the local community’s livelihood, Recently, significant changes in land use and land cover (LULC) have been observed in this area, leading to a reduction of natural forests. There were two separate methods of this study: firstly, to identify LULC changes across three different periods, spectral imagery from the Landsat 5 Thematic Mapper (TM) for the years 2001 and 2011, and the Landsat 8 Operational Land Imager (OLI) for 2021 were used as the primary data sources. The satellite images were preprocessed for various forest classes, including pretreatment of the top of atmosphere reflectance by using QGIS software’s semi-automatic classification plug-in (SCP), and ArcGIS was used for post-classification. A supervised classification approach was applied to the satellite images from 2001, 2011, and 2021 to generate diverse maps of LULC. Secondly, a household survey dataset was used to investigate influential factors. Approximately 220 households were interviewed in order to collect socio-economic information (including data on population growth, increased business activities, location of the area, agriculture land expansion, and need for settlement land). Household survey data was analyzed by using SPSS. Descriptive statistics, including frequency distributions and percentages, were applied to observe characteristics. Additionally, a binary logistic regression model was used to analyze the socioeconomic factors related to LULC change in DNPF. Key findings indicated a decline in natural forest areas within the study site. Specifically, both dry dipterocarp forest (−11.35%) and mixed deciduous forest (−0.18%) decreased from 2001 to 2021. The overall accuracy of the LULC maps was 94%, 86%, and 89% for the years 2001, 2011, and 2021 respectively. In contrast, agricultural land increased significantly by 155.70%, while built-up land, and water bodies increased by 65.54% and 35.33%, respectively. The results also highlighted a significant increase in construction land, up to 65.54%. Furthermore, the study found a correlation between agricultural expansion and a reduction of forest areas, along with an increase in built-up land along the forest areas’ boundaries. Timber exploitation and charcoal production also contributed to the decline in forest cover. The logistic regression model identified significant determinants of LULC change, including the area’s location, agricultural land expansion, increased business activity, and the need for settlement land. These factors have influenced the management of DNPF. Urgent sustainable management practices and actions, including forest ecosystem protection, village agricultural zoning, water source and watershed protection and public awareness, are required to preserve the forest areas of DNPF.

Analysis of the Current Situation, Influential Factors, and Countermeasures of Rural E-commerce Development

The development of rural e-commerce is becoming an important driver for the transformation of China’s rural economy,and with the rapid development of information technology and the upgrading of the agricultural industry,rural e-commerce is showing a vigorous momentum of development.Traditionally,agricultural products are mainly sold through traditional farmers’markets,which are subjected to geography and channel limitations,resulting in inefficient circulation of agricultural products.This paper analyzes the definition,the status quo,as well as the influencing factors of rural e-commerce development.On this basis,countermeasures for the advancement of rural e-commerce development are put forward.

Influential Factors on Economic Benefit of Rice Farmers

[Objective] This study was to provide references for the improvement of agricultural economic benefit by analyzing the main factors on influencing the economic benefit of rice farmer. [Method] Field survey was carried out on 300 rice farmers in Suizhou, Wuxue and Xiaogan of Hubei Province. Through the descriptive statistics to the production input and output data of the sample farmers, the econometric model was established to conduct empirical test on the economic benefit of rice farmer and the influential factors. The optimal production scale for rice farmer was also estimated, and through the theoretical and empirical analysis of the optimal production scale, countermeasures were put forward with the aim to promote economic benefit of rice farmer. [Result] The application of fertilizer affected the economic benefit most, followed by the planting area; food policy, farming population and average economic income per capita had significant effects on the economic benefit of rice production; economic benefit was beneficial for cost control. [Conclusion] This study had great practical and instructive significance for stabilizing national food production, ensuring regional and national food safety.

Influential Factors of House-purchasing Intention in Work construction Sites among Migrant Workers with a Case of Investigations on 203 Migrant Workers from Jiangxi Province

The research selected 13 factors from individual and family characters, construction site characters and work characters and analyzed the influences on the willingness of purchasing houses on construction sites with Logistic regression mod- el. The results showed that gender, age differences, personality, willingness on fami- ly land conversion, management of enterprises on construction sites, relatives and friends on construction lands, and Job satisfaction were approved by significant testing, but marital status, annual household income, the rate of migrant worker in a household, transportation in work city, and corporate reputation were not approved by significant testing.

Influential Factors of Water Productivity of Maize in Oasis of Arid Areas——A Case Study of Linze County

[Objective] The aim was to research influential factors of water productivity of maize in oasis in arid areas. [Method] In middle reach of Heihe River in Linze County of Zhangye City, maize, a major crop in irrigated area in the oasis, was studied and nine influential factors were chosen through grey relation analysis. [Result] According to grey relation analysis, top five factors influencing water produc- tivity of maize during 1995-2009 were as follows： applied quantity of chemical fertil- izers〉labour input〉seeds〉mulch amount〉pesticide amount, which indicated that controllable factors, instead of uncontrollable ones, dominate in influence of water productivity of maize in oasis in arid areas. [Conclusion] With water resource limited, investment of controllable factors in high-efficient agricultural production should be the major strategy to improve water productivity of maize in oasis of arid areas.

Comprehensive Analysis of the Influential Factors of Karst Cave Tourism Development

There are many karst caves in China and each karst cave is a special part of natural landscape resources.How to exploit karst cave resources to develop tourism relates to the the effective exploitation of karst caves resources.The author comprehensively analyzed the main influential factors of karst cave tourism development and concluded that the influential factors were the feature of karst caves resources,transportation condition,construction condition,regional economic development level,source market,regional combination of scenic spots,spatial competition,investors' decision-making behavior,local residents' attitudes and so on.The integrated action of these factors codetermines whether karst cave tourism development successes or not.Only by thoroughly realizing the status and role of every influential factor karst cave tourism development could be reasonably conducted,exploiting strong points and avoiding shortcomings.

Analysis on Influential Factors of Peasants' Willingness to Exit Homestead in Regions with Different Economy Development Levels——Taihe Village,Chaohu County-Level City,and Ancang Village,Taihu County as Examples

The research concluded peasants＇ willingness on homestead exiting and influential factors by questionnaire survey and interviewing in two villages with varied levels of economic development in Anhui Province.Comparisons were performed on subjective factors and objective factors were explored by Logistic regression.The results showed that both of education background and homestead use have positive correlation with peasants＇ willingness on homestead exit;the number of family members has negative effects on peasants in advanced village but the number of migrant workers or members living in cities has positive effects;the area of homestead has positive effects on peasants in underdeveloped village.Therefore,the emphasis should be varied on homestead exit upon village economy and it is necessary to reinforce homestead exit promotion at improving immigrants＇ reception work,social security,employment,and education.

Directly searching method for slip plane and its influential factors based on critical state of slope

In order to determine the slip plane of slope directly by the calculation results of strength reduction method, and analyze the influential factors of slope stability, a numerical model was established in plane strain mode by FLAC3D for homogeneous soil slope, whose parameters were reduced until the slope reached the critical state. Then FISH program was used to get the location data of slip plane from displacement contour lines. Furthermore, the method to determine multiple slip planes was also proposed by setting different heights of elastic areas. The influential factors for the stability were analyzed, including cohesion, internal friction angle, and tensile strength. The calculation results show that with the increase of cohesion, failure mode of slope changes from shallow slipping to the deep slipping, while inclination of slip plane becomes slower and slipping volume becomes larger; with the increase of friction angle, failure mode of slope changes from deep slipping to shallow slipping, while slip plane becomes steeper and upper border of slip plane comes closer to the vertex of slope; the safety factor increases little and slip plane goes far away from vertex of slope with the increase of tensile strength.

Tempo-spatial characteristics and influential factors of rockburst:a case study of transportation and drainage tunnels in Jinping Ⅱ hydropower station

Jinping Ⅱ hydropower station is located in a high in-situ stress region in Southwest China. During the excavations of the transportation and drainage tunnels, more than 460 rockburst events were recorded in the transportation tunnel and 110 in the drainage tunnel, which has a serious and negative influence on the tunnels’ construction and the safety of staff and equipment. In the paper, the characters of rockburst patterns are analyzed for the transportation and drainage tunnels. The results are illustrated as follow: (1) Most of intensive rockbursts occur in the layer T2b, and continuous occurrences of rockbursts are more frequently observed than those in other layers. (2) The critical overburden depth of rockburst in the transportation tunnel is 600 m, and the length of the continuous occurrence section of rockburst is smaller than 25 m. The damaged depth of the rockburst has the tendency to increase with the increasing overburden depth, and the maximum damaged depth is over 3.5 m. (3) From east to west (west to east) in Jinping Ⅱ hydropower station, the rockburst usually takes place in the right (left) side of tunnel working face, and then the left (right) or roof of the tunnel. The total length of the continuous occurrence section of rockburst is 57.4%–62.2% of the overall rockburst length, followed by the rockbursts of flake-splitting type and other types. (4) Compared with the transportation tunnel, the intensity of rockburst in the drainage tunnel is higher while the length of the continuous occurrence section of rockburst is smaller. The rockburst section with length less than 10 m and depth of 1 m mainly occurs in the layer at a depth of 1 800–2 000 m. The influences of opening geometry and excavation method on the characteristics of the adjacent zone are great, but the influence of the stress among the tunnel group induced by excavation is relatively low.

Influential factors on the exchange rate of dissolved inorganic nutrients at the sediment-water interface in Jiaozhou Bay, China

Incubation experiments are carried out to study the exchange rates of dissolved inorganic nutrients including silicate, phosphate, ammonium, nitrite, and nitrate (vSiO3-Si, vPO4-P, vNH4-N, vNO2-N and vNO3-N) at the sediment-water interface in the Jiaozhou Bay. Major factors influencing the exchange rates are discussed in detail, which include the dissolved inorganic nutrient concentrations in porewater (Cpw), water and clay contents, and grain size of the sediments (CH2O, Cclay and GSsed). The results may provide insight into the dynamics of nutrient transport and the environmental capacity of nutrients in Jiaozhou Bay, and should be beneficial to solving the problems caused by excessive nutrient input this area.

Influential factors and control of water inrush in a coal seam as the main aquifer

In this paper, a combination of field measurement, theoretical analysis and numerical simulation were used to study the main control factors of coal mine water inrush in a main aquifer coal seam and its control scheme. On the basis of revealing and analyzing the coal seam as the main aquifer in western coal mine of Xiao Jihan coal mine, the simulation software of PHASE-2D was applied to analyze the water inflow under different influencing factors. The results showed that water inflow increases logarithmically with the coal seam thickness, increases as a power function with the permeability coefficient of the coal seam, and increases linearly with the coal seam burial depth and the head pressure; The evaluation model for the factors of coal seam water inrush was gained by using nonlinear regression analysis with SPSS. The mine water inrush risk evaluation partition within the scope of the mining field was obtained,through the engineering application in Xiao Jihan coal mine. To ensure the safe and efficient production of the mine, we studied the coal mine water disaster prevention and control measures of a main aquifer coal seam in aspects of roadway driving and coal seam mining.

Influential Factors of Bucket Foundation for Offshore Wind Turbine

In this paper, the influential design thctors of wide-shallow composite bucket foundation for 3 MW off- shore wind turbine are systematically studied by numerical simulation. The results show that the bucket diameter is larger than 27 m in generak and the range of 7--12 m is appropriate for cylinder height. In particular the bucket foun- dation with diameter of 30 m and cylinder height of 10 m is suitable for most soils. Under ultimate loads, the bucket diameter and elasticity modulus of soil have major effects on the deibrmability of bucket foundation, while the influ- ence of friction coefficient between the bucket and soil is relatively slight.

Simulation analysis on influential factors of stick-slip

In this paper a new physical model for studying stick-slip is established. Based on the dynamics system of the model,the state equation of the system is presented. And simulation analysis on the influential factors of stick-slip is carried out. The relationship between stiffness ( horizontal and normal) ,dampness,mass, difference of static and kinetic coefficients of friction,driving velocity,and amplitude in normal direction is analyzed and parameters of stick-slip are evaluated. Results show that stick-slip can be reduced by improving horizontal stiffness,decreasing dampness,reducing mass,cutting down the difference of static and kinetic coefficients of friction,properly choosing the vertical stiffness and properly inducting the normal oscillation.

Vertical Coordination Development Mode and Influential Factors of Agricultural Products

In China,the vertical coordination development mode of agricultural products can be divided into traditional market-oriented transaction mode with fluctuation according to market conditions,made-to-order on the basis of farmer organization,company leading cooperative mode,share or shareholding cooperative mode,and vertical integration mode. There are differences in coordination characteristics,advantages and disadvantages,and adaptability between different modes. Traditional vertical coordination mode is transforming and upgrading to close and high-efficient mode. In this process,it is influenced by factors such as cost-benefit balance between farmers and agricultural product processing enterprises,special use of agricultural product processing,structure of agricultural product industry chain,and action of local government.

Influential Factors on Deicing Performance of Electrically Conductive Concrete Pavement

The deicing experiment of carbon fiber reinforced electrically conductive concrete （CFRC） slab was conducted in laboratory at first, then the deicing process of CFRC parement was analyzed by means of finite element method （FEM）. At last, based on the energy conservation law and the computing restdts of finite element method, the influential factors including the setting of electric heating layer, environmental temperature, the thickness of ice, material parameters, and deicing power on deicing performance and energy consumption were discussed.

INFLUENTIAL FACTORS COMBINATION AND COMPETITIVE ADVANTAGES IN STAGES OF URBAN COMPETITIVENESS——Case Study of Suzhou in China

The urban competitive advantages rely on the combination and interaction of influential factors. As a dynamic progressive process, the city at different time has different competition influential factors combination. Because of this, the urban competitive advantages take on time-series characteristics. Stages of urban competition can be summed up into three ones, the basic factor-driven, the investment-driven and the innovation-driven. The finding of the study on the stages of urban competitive advantages in Suzhou is that in the current stage of Suzhou its competitive advantage is the investment-driven. The investment, especially FDI, plays remarkable functions for Suzhou competition with other cities.

Occurrence and influential factors of depression in patients with Alzheimer disease

BACKGROUND: The differential diagnosis between depressive pseudodementia and Alzheimer disease (AD) is a clinical problem, and it is more difficult to diagnose depression in AD. OBJECTIVE: To analyze the incidence and characters of depression in AD patients, and investigate the correlative factors. DESIGN: A randomized controlled study. SETTING: Beijing Geriatrics Hospital. PARTICIPANTS: From October 2005 to July 2006, 34 patients with probable AD were selected from the Department of Dementia, Beijing Geriatrics Hospital according to National Institute of Neurological and Communicative Diseases and Stroke/Alzheimer Disease and Related Disorders Association (NINCDS-ADRDA) criteria for AD. There were 16 males and 18 females, aged 63-85 years. Meanwhile, 30 patients with other chronic neurological disorders (CND) were selected from our hospital as the CND control group, there were 16 males and 14 females, aged 55-85 years, including 18 cases of cerebrovascular sequela, 9 of Parkinson disease and 3 of migraineurs. Another 30 patients with chronic physical diseases (CPD) were enrolled as the CPD control group, there were 15 males and 15 females, aged 57-83 years, including 15 cases of chronic bronchitis, 8 of hypertension and 7 of diabetes mellitus. Besides, 30 physical examinees were enrolled as the healthy control group, including 15 males and 15 females, aged 55-80 years. All the subjects were informed and agreed with the detection. METHODS: ① All the subjects underwent the Hamilton rating scale for depression (HAMD) (24 items) assessment, and the total score < 8 points was regarded as no depression, 8-20 as mild depression, 20-35 as moderate depression, ≥ 35 as severe depression. ② All the AD patients were assessed with Cornell scale for depression in dementia (CSDD) (19 items), and the total score < 8 points was regarded as no depression, and ≥ 8 as depression. CSDD consisted of five subscales, including mood-related signs, behavioral disturbance, cyclic functions, ideational disturbance and physical signs, which were scored as 0-2 points respectively, and the abnormal rate of each factor was observed, the abnormal rate was the percentage of number of patients suffering from the symptoms in the subscales to the total number of patients. ③ The cognitive function of the AD patients was assessed with Mini-mental status examination (MMSE) (the total score ranged 0-30 points; ≤17 in illiterate, ≤ 20 in primary school and ≤ 24 in middle school and higher was regarded as cognitive deficit) and the daily living ability of the AD patients was assessed with ADL. MAIN OUTCOME MEASURES: ① HAMD scores in all the groups; ② CDSS scores and abnormal rate of factors in AD patients; ③ MMSE score and activity of daily life (ADL) score in AD patients; ④ Correlation between depression and correlative factors in AD patients. RESULTS: All the 124 subjects were involved in the analysis of results. ① The HAMD average score of the AD group was significantly higher than those of the CND, CPD and healthy control groups [(12.7±3.2), (5.5±2.5), (3.4±1.3), (2.6±1.7) points, P < 0.01]. ② In the AD group, the CDSS average score was (5.8±4.3) points, 41.2% (14/34) met the criteria for depression. The abnormal rates in order were 44% (15/34) for mood-related signs, 32% (11/34) for behavioral disturbance, 24% (8/34) for cyclic function, 12% (4/34) for ideational disturbance and 12% (4/34) for physical signs. ③ The factors of age, course, MMSE score and ADL score were finally excluded after a multiple regression (P > 0.05). There was a negative correlation between CSDD score and onset age (P < 0.05), sex was also obviously correlated with CSDD score (P < 0.05). CONCLUSION: The incidence of depression in AD is much higher with various manifestations. Female patients are the susc and earlier onset age is the risk factor for the presence of depression in AD.

Influential factors of healthcare provider resilience in disasters:A thematic analysis

Objective:To identify the influential factors of healthcare staff resilience in disasters.Methods:In this qualitative study,the influential factors of healthcare staff resilience in disasters were investigated through interviewing 20 experts.The interviews were conducted face-to-face,and MAXQDA software version 10 was used to organize the data and thematic analysis.Results:The participants included 5 medical emergency technicians,5 physicians,2 Red Crescent technicians,and 8 nurses.The main influential factors of healthcare providers’resilience were limited relief infrastructure,supportive empowerment,organizational capitals,and contradictory consequences.Other important factors were resource limitation,confusion and uncertainty,empowerment training,comprehensive support,human and value capital,social capital,physical capital,suffering,disability,calm,and excellence.Conclusion:Improving healthcare providers’resilience can be achieved by reducing uncertainty,providing the physical,economic,and human resources,strengthening motivation and comprehensive supports.It is suggested that disaster managers consider all identified dimensions to improve the resilience of healthcare providers to serve better in disasters.Moreover,researchers should study each dimension to provide profound knowledge regarding resilience in disasters.

The spatial distribution of commuting CO_2 emissions and the influential factors:A case study in Xi'an,China

As the transport sector is a major source of greenhouse gas emissions, the effect of urbanization on transport CO2 emissions in developing cities has become a key issue under global climate change. Examining the case of Xi＇an, this paper aims to explore the spatial distribution of commuting CO2 emissions and influencing factors in the new, urban industry zones and city centers considering Xi＇an＇s transition from a monocentric to a polycentric city in the process of urbanization. Based on household survey data from 1501 respondents, there are obvious differences in commuting CO2 emissions between new industry zones and city centers： City centers feature lower household emissions of 2.86 kg CO2 per week, whereas new industry zones generally have higher household emissions of 3.20 kg CO2 per week. Contrary to previous research results, not all new industry zones have high levels of CO2 emissions; with the rapid development of various types of industries, even a minimum level of household emissions of 2.53 kg CO2 per week is possible. The uneven distribution of commuting CO2 emissions is not uniformly affected by spatial parameters such as job-housing balance, residential density, employment density, and land use diversity. Optimum combination of the spatial parameters and travel pattern along with corresponding transport infrastructure construction may be an appropriate path to reduction and control of emissions from commuting.