Subjects: Digital Publishing >> New Media submitted time 2023-10-08 Cooperative journals: 《中国传媒科技》
Abstract：新媒体时代的来临,电视节目的制作技术也得到了进一步的发展,极大地提升了节目的视觉效果。而视觉元素的构成要素多而复杂,对电视节目的制作质量具有极其重要的影响。如何合理运用视觉元素,塑造出色的视觉效果,已成为当前电视节目制作的首要任务。基于此,本文以视觉元素为研究主题,简要介绍了视觉元素的相关内容,分析了电视节目中视觉元素运用的原则,并对此提出了相应的改进建议,希望能促进电视节目质量的提升。
Subjects: Nursing >> Nursing submitted time 2023-04-24
Abstract： Objective To investigate the status and influencing factors of falls among the elderly in a community in Beijing, and provide reference for the prevention of falls in community. Methods Convenience sampling method was used to investigate 509 elderly residents over 60 years old in a community in Beijing, and logistic regression was used to analyze the risk factors of falls. Results The fall rate of the elderly in the community of Beijing was 26.72%(136/509). Logistic regression results showed that age(OR=1.93), abnormal gait(OR=6.44), abnormal balance(OR=11.20), urinary/stool incontinence(OR=4.57), dizziness and vertigo(OR-2.27), visual impairment(OR=1.97), history of stroke(OR=3.02) and arrhythmia(OR=2.77) were the risk factors for falling of the elderly in the community. Conclusion The fall rate of the elderly in this community in Beijing is high, so the elderly with advanced age, abnormal gait, abnormal balance, urinary/fecal incontinence, dizziness, dizziness, visual impairment, stroke history, arrhythmia should be strengthened to reduce the fall rate of the elderly and the adverse consequences of falling, improve the quality of life of the elderly.
Peer Review Status:
Awaiting Review
Subjects: Nursing >> Nursing submitted time 2023-04-24
Abstract： Objective To explore the establishment of a comprehensive risk assessment model for falls in the elderly people in China. Methods Meta-analysis reappraisal combined with structured expert consultation were used to screen out risk factors for falls and OR values into the model, and established a logistic regression comprehensive evaluation model. Results The model finally included 32 indicators: age, history of falls, exercise, use of walking aids, Abnormal gait, abnormal balance, sleep disturbance, cognitive impairment, frailty, urinary/fecal incontinence, dizziness/vertigo, visual impairment, hearing impairment, lower extremity arthritis, History of stroke, diabetes, orthostatic hypotension, Parkinson''s, dementia, anemia, arrhythmia, depression, foot diseases, antipsychotics, antidepressants, hypnotic sedatives, antiepileptics, opioids , loop diuretics, cardiac glycosides, hypoglycemic agents, laxatives. Conclusion Based on meta-analysis and experts'' opinions, this study established a risk assessment model for falls in elderly people in China, which effectively avoided the problem of small sample size. The model was based on evidence-based medicine, and provided a basis and guidance for the screening and intervention of high-risk groups.
Peer Review Status:Awaiting Review
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2022-04-07 Cooperative journals: 《计算机应用研究》
Abstract： Due to the overlap of time and space coverage between tasks in mobile crowd sensing, repeated data collection may happen and cause data redundancy problem. In view of this, this paper proposed a task allocation method to reduce data redundancy within and between tasks. Firstly, this method designed a trajectory sequence prediction model based on the long short-term memory (LSTM) neural network, to predict trajectory sequences of task participants within subdivided spatial-temporal units. Then based on the trajectory prediction results, the method proposed an optimization model to minimize data redundancy. Specifically, the optimization model constrained the data redundancy within a single task by minimizing the data redundancy metric in each spatial-temporal unit, and limited the data redundancy between multiple tasks by maximizing the reuse of the sensing data of each task participant in a spatial-temporal unit. Experimental results verify that the proposed task allocation method can effectively reduce the data redundancy within and between tasks.
Subjects: Geosciences >> Other Disciplines of Geosciences submitted time 2019-09-11 Cooperative journals: 《干旱区地理》
Abstract：通过2002—2015年的投入产出表以及投入产出延长表综合分析山西省产业发展状况，根据山西省的产业发展特征，将投入产出表中的42个行业进行了归并，运用投入产出指标对山西的产业发展状况进行了跟踪描述并采用扩散感应系数以及扩散能力系数跟踪经济发展中关键产业的变化规律，采用熵指数测算山西省的产业多元化程度，定量跟踪和评价山西产业多元化发展进程，同时运用社会网络研究方法，构建山西省投入产出关联图，直观地考察山西省的产业关联及产业发展集合。结果显示：山西省2002—2015年产业多元化进程受阻，2015年形成了两个重要的产业集合，一个是以煤炭资源业为中心，一个以建筑业为中心。
Subjects: Biology >> Botany >> Plant ecology, plant geography submitted time 2016-05-03
Abstract： Aims Shrub was an important vegetation type which maintained stability of ecosystem in arid and semiarid zones. This study investigated the typical shrub species of grassland in northern Xinjiang, and analyzed their carbon (C) and nitrogen (N) content features of the leaves, branches and stems, in order to accurately estimate the C and N pools of shrub steppe, and to provide basic data for C and N cycling study. Methods Leaves, branches and stems samples of 13 kinds of species were collected in northern Xinjiang. We determined C and N content of leaves, branches and stems. Important findings In northern Xinjiang, the typical shrub were Nitraria, Convolvulus tragacanthoides, Reaumuria songarica, Anabasis, Caragana, Ephedra, Calligonum mongolicum, Haloxylon, Spiraea hypericifolia, Krascheninnikovia, Nanophyton erinaceum, Kalidium and Salsola. These shrubs belong to the Rosaceae, Legumes, Ephedra, Tamaricaceae, Zygophyllaceae, Polygonaceae, Convolvulaceae and Chenopodiaceae . The size of the C content of different organs were stem (45.76 ± 3.43 )% > branch (44.27 ± 4.51)% > leaf (39.15 ± 5.91)% , the size of the N content of different organs were leaf (2.21 ± 0.59)% > branch (1.55 ± 0.44)% > stem (1.34 ± 0.35)% , the size of C: N of different organs were stem (36.74 ± 10.80) > branch (31.07 ± 10.43) > leaf (18.94 ± 5.82). The C、N content and C: N in the same organs of shrubs were significantly different among different families ( p < 0.05). C content of different organs of Rosaceae were significantly larger than the those of other subjects among different genus ( p < 0.05), N content of leaves and stems of Legume were significantly larger than those of other genus ( p < 0.05), N content of branches of Ephedra was significantly larger than other genus ( p < 0.05), the C: N of leaves and branches of Convolvulus tragacanthoides were significantly larger than those of the other genus ( p < 0.05), C: N of stems of Rosaceae were significantly larger than those of the other genus ( p < 0.05). The C content of aboveground was (43.77 ± 4.43)% , N content was (1.56 ± 0.45)% , C: N was (31.78 ± 10.12). The variation degree of C content was small, the average coefficient of variation was 10%, the average coefficient of variation of N content was 27% , the average coefficient of variation of C: N was 32%
Peer Review Status:Awaiting Review
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