Research and Design of a Routing Protocol in Large-Scale Wireless Sensor Networks

无线传感器网络，作为全球未来十大技术之一，集成了传感器技术、嵌入式计算技术、分布式信息处理和自组织网技术，可实时感知、采集、处理、传输网络分布区域内的各种信息数据，在军事国防、生物医疗、环境监测、抢险救灾、防恐反恐、危险区域远程控制等领域具有十分广阔的应用前景。 本文研究分析了无线传感器网络的已有路由协议，并针对大规模的无线传感器网络设计了一种树状路由协议，它根据节点地址信息来形成路由，从而简化了复杂繁冗的路由表查找和维护，节省了不必要的开销，提高了路由效率，实现了快速有效的数据传输。 为支持此路由协议本文提出了一种自适应动态地址分配算——ADAR（AdaptiveDynamicAddre...As one of the ten high technologies in the future, wireless sensor network, which is the integration of micro-sensors, embedded computing, modern network and Ad Hoc technologies, can apperceive, collect, process and transmit various information data within the region. It can be used in military defense, biomedical, environmental monitoring, disaster relief, counter-terrorism, remote control of haz...学位：工学硕士院系专业：信息科学与技术学院通信工程系_通信与信息系统学号：2332007115216

Pitfall of isolated superior mesenteric artery dissection with normal D‐dimer level

Abstract A 51‐year‐old man with untreated hypertension developed sudden‐onset epigastric pain. Despite a normal D‐dimer level, abdominal contrast‐enhanced computed tomography revealed superior mesenteric artery dissection. Abdominal contrast‐enhanced computed tomography is mandatory when examining patients with sudden‐onset abdominal pain, even those with a normal D‐dimer level

Visual Impairment, Partially Dependent ADL and Extremely Old Age Could be Predictors for Severe Fall Injuries in Acute Care Settings

Summary: Background: Severe fall injuries in inpatients extend hospital stay, increase medical costs, and shorten patients' healthy life expectancy. The objective of this study was to clarify the predictors for severe fall injuries requiring treatments of inpatients in acute care settings. Methods: We retrospectively analysed adult inpatients who suffered falls in an acute care hospital in Kyushu, Japan from April 2012 to January 2015. Using hospital record data, we compared patients who had required treatments after falls with those who had not by univariate and multivariate analyses. Results: Among 371 patients who suffered falls, the median age was 83 years (interquartile range: 78–87 years). Fall required treatments in 46 patients (12%). In those required treatments, univariate analysis revealed higher percentages of patients with visual impairment (OR: 4.1, 95%CI: 1.3–12.8, p = 0.023) and a bedriddenness rank of A (partial dependence with housebound status) (OR: 2.4, 95%CI: 1.3–4.5, p = 0.006) as well as patients aged ≥85 years (OR: 1.9, 95%CI: 1.0–3.6, p = 0.039). There were lower percentages of patients with a cognitive function score of 4 (requiring constant assistance with symptoms interfering with daily activities) (p = 0.008). In multivariate analysis, age of ≥85 years (OR: 2.2, 95%CI: 1.1–4.2, p = 0.021), visual impairment (OR: 4.2, 95%CI: 1.3–13.9, p = 0.019), and a bedriddenness rank of A (OR: 2.4, 95%CI: 1.3–4.7, p = 0.009) were associated with falls requiring treatment. Conclusion: Visual impairment, partial dependence in activities of daily living and 85 years of age or older could be useful predictors for severe fall injuries. Keywords: bedriddenness rank, cognitive function score, severe fall injuries, severity of incidents and accident

New predictive models for falls among inpatients using public ADL scale in Japan: A retrospective observational study of 7,858 patients in acute care setting.

AimMost predictive models for falls developed previously were awkward to use because of their complexity. We developed and validated a new easier-to-use predictive model for falls of adult inpatients using easily accessible information including the public ADL scale in Japan.MethodsWe retrospectively analyzed data from Japanese adult inpatients in an acute care hospital from 2012 to 2015. Two-thirds of cases were randomly extracted to the test set and one-third to the validation set. Data including age, sex, activity of daily living (ADL), public scales in Japan of ADL "bedriddenness rank," and cognitive function in daily living, hypnotic medications, previous falls, and emergency admission were derived from hospital records. Falls during hospitalization were identified from incident reports. Two predictive models were created by multivariate analysis, each of which was assessed by area under the curve (AUC) from the validation set.ResultsA total of 7,858 adult participants were available. The AUC of model 1, using 13 factors-age, sex (male), emergency admission, use of ambulance, referral letter, admission to Neurosurgery, admission to Internal Medicine, use of hypnotic medication, permanent damage by stroke, history of falls, visual impairment, independence of eating, and bedriddenness rank-with low mutual collinearity and showing significant relationship by multivariate logistic regression analysis, was 0.789 in the validation set. The AUC of parsimonious model 2, using age and seven factors-sex (male), emergency admission, admission to Neurosurgery, use of hypnotic medication, history of falls, independence of eating, and bedriddenness rank-showing statistical significance by multivariate analysis in model 1, was 0.787 in the validation set.ConclusionsWe proposed new predictive models for inpatients' fall using the public ADL scales in Japan, which had a higher degree of usability because of their use of simpler and fewer (8 or 13) predictors, especially parsimonious model 2

Criterion-related validity of Bedriddenness Rank with other established objective scales of ADLs, and Cognitive Function Score with those of cognitive impairment, both are easy-to-use official Japanese scales: A prospective observational study.

AimBedriddenness Rank (BR) and Cognitive Function Score (CFS), issued by the Ministry of Health, Labour and Welfare, Japan, are easy-to-use and widely used in the medical and long-term care insurance systems in Japan. This study aims to clarify the criterion-related validity of the CFS with the Mini-Mental State Examination (MMSE) and ABC Dementia Scale (ABC-DS), and to re-evaluate the criterion-related validity of BR with the Barthel Index (BI) or Katz Index (KI) in more appropriate settings and a larger population compared with the previous study.MethodsA single-center prospective observational study was conducted in an acute care hospital in a suburban city in Japan. All inpatients aged 20 years or older admitted from October 1, 2018 to September 30, 2019. The relationship between BR and the BI and KI, and the relationship between CFS and the MMSE and ABC-DS were analyzed using Spearman's correlation coefficients.ResultsWe enrolled 3,003 patients. Of these, 1,664 (56%) patients exhibited normal BR. The median (interquartile range) values of the BI and KI were 100 (65-100) and 6 (2-6), respectively. Spearman's rank correlation coefficients between BR and the BI and KI were -0.891 (p < 0.001) and -0.877 (p < 0.001), respectively. Of the patients, 1,967 (65.5%) showed normal CFS. The median (interquartile range) MMSE of 951 patients with abnormal CFS and ABC-DS of all patients were 15 (2-21) and 117 (102-117), respectively. Spearman's rank correlation coefficients between CFS and MMSE and ABC-DS were -0.546 (p < 0.001) and -0.862 (p < 0.001), respectively.ConclusionsBR and CFS showed significant criterion-related validity with well-established but complicated objective scales for assessing activities of daily living and cognitive functions, respectively. These two scales, which are easy to assess, are reliable and useful in busy clinical practice or large-scale screening settings