检索结果-南通市图书馆

Journal of Acute Disease 2024年第1期13卷 20-25页

作者： Mohammad-Rafi Bazrafshan Esmaeil kavi Negar Shahkarami Mohammad Nowrouzi Fereidoun Jahangir Hajar Haghshenas Department of Nursing School of NursingLarestan University of Medical SciencesLarestanIran Clinical Education Research Center Department of Medical EducationSchool of MedicineShiraz University of Medical SciencesShirazIran School of Allied Medical Sciences Fasa University of Medical SciencesFasaIran Division of Health Center Gerash University of Medical SciencesGerashIran Kerman University of Medical Sciences KermanIran Shiraz University of Medical Sciences ShirazIran Department of Nursing School of NursingGerash University of Medical SciencesGerashIran

Objective:To determine the temporal trend and epidemiology of animal bite cases in Gerash City,***:This retrospective cross-sectional study analyzed 630 cases of people with animal bites between 2011 and 2021 in Gerash *** collected data were analyzed using Chi-square ***:The mean age of victims was(30.9±17.5)years.80.54%Of victims were male,39.70%were self-employed,and 64.60%were adults(≥18 years).Most cases of bites occurred in 2019(91 cases),2020(74 cases)and 2021(87 cases),and most of the bites were related to the upper limbs(62.70%).Most of the wounds were superficial(78%),most of the biting animals were domestic animals(91.74%),and most of the victims had Iranian nationality(97.62%).Conclusions:Given the increasing trend of animal bites in Gerash City,health authorities should carry out basic measures such as education and awareness among the public,especially at-risk groups such as adult ***,since most cases of bites are due to dogs,it seems necessary to plan for vaccination of dogs,especially those with owners.

关键词： Animal bite Gerash Time trend Disease Epidemiology Rabies

An Intelligent Approach for Accurate Prediction of Chronic Diseases

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Computer Systems Science & Engineering 2023年第8期46卷 2571-2587页

作者： S.kavi Priya N.Saranya Mepco Schlenk Engineering College SivakasiTamilnaduIndia

Around the globe,chronic diseases pose a serious hazard to healthcare *** majority of the deaths are due to chronic diseases,and it causes burdens across the *** analyzing healthcare data and extracting patterns healthcare administrators,victims,and healthcare communities will get an advantage if the diseases are early *** majority of the existing works focused on increasing the accuracy of the techniques but didn’t concentrate on other performance ***,the proposed work improves the early detection of chronic disease and safeguards the lives of the patients by increasing the specificity and sensitivity of the classifiers along with the *** proposed work used a hybrid optimization algorithm called the Hybrid Gravitational Search algorithm and Particle Swarm Optimization algorithm(HGSAPSO)to upgrade the detection of chronic *** classifier parameters with their optimized parameters are compared and *** such as Artificial Neural Network(ANN),Support Vector Machines(SVM),K-Nearest Neighbor(Knn),and Decision tree(DT)are *** care data are obtained from the UCI machine learning repository to evaluate the proposed *** proposed work is assessed on 6 benchmark datasets and the performance metrics such as Accuracy,Specificity,Sensitivity,F-measure,Recall,and Precision are *** experimental results exhibit that the proposed work attains better accuracy on Artificial Neural Network-Hybrid Gravitational Search algorithm and Particle Swarm Optimization algorithm(ANN-HGSAPSO)classifier compared to other ***-HGSAPSO provides 93%accuracy for Chronic Kidney Disease(CKD),Cardio Vascular Disease(CVD)96%,Diabetes 82%,Hepatitis 94%,Wisconsin Breast Cancer(WBC)91%,and for Liver disease dataset 96%.

关键词： Chronic diseases optimization gravitational search algorithm particle swarm optimization machine learning algorithms

EliteVec: Feature Fusion for Depression Diagnosis Using Optimized Long Short-Term Memory Network

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Intelligent Automation & Soft Computing 2023年第5期36卷 1745-1766页

作者： S.kavi Priya K.Pon Karthika Mepco Schlenk Engineering College(Autonomous) Sivakasi626005TamilnaduIndia

Globally,depression is perceived as the most recurrent and risky disor-der among young people and adults under the age of *** has a strong inﬂuence on the usage of words which can be observed in the form of written texts or stories posted on social *** the help of Natural Language Proces-sing(NLP)and Machine Learning(ML)techniques,the depressive signs expressed by people can be identiﬁed at the earliest stage from their Social Media *** proposed work aims to introduce an efﬁcacious depression detection model unifying an exemplary feature extraction scheme and a hybrid Long Short-Term Memory network(LSTM)*** feature extraction process combines a novel feature selection method called Elite Term Score(ETS)and Word2Vec to extract the syntactic and semantic information ***,the ETS method leverages the document level,class level,and corpus level prob-abilities for computing the weightage/score of the ***,the ideal and per-tinent set of features with a high ETS score is selected,and the Word2vec model is trained to generate the intense feature vector representation for the set of selected ***,the resultant word vector obtained is called EliteVec,which is fed to the hybrid LSTM model based on Honey Badger optimizer with population reduction technique(PHB)which predicts whether the input textual content is depressive or *** PHB algorithm is integrated to explore and exploit the opti-mal hyperparameters for strengthening the performance of the LSTM *** comprehensive experiments are carried out with two different Twitter depres-sion corpus based on accuracy and Root Mean Square Error(RMSE)*** results demonstrated that the proposed EliteVec+LSTM+PHB model outperforms the state-of-art models with 98.1%accuracy and 0.0559 RMSE.

关键词： Depression detection dimensionality reduction feature extraction feature selection hybrid LSTM network population reduction honey badger optimization social media twitter

Strategies and outcomes in severe open tibial shaft fractures at a major trauma center: A large retrospective case-series

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World Journal of Orthopedics 2021年第7期12卷 495-504页

作者： kavi H Patel Karl Logan Matija Krkovic Department of Trauma&Orthopaedics Cambridge University Hospitals NHS TrustCambridge CB20QQUnited Kingdom

BACKGROUND Severe open tibia fractures are challenging to treat with a lack of published clear management *** aim was to provide an overview of the largest singlecenter experience in the literature,with minimum 1-year follow-up,of adult type 3 open tibial shaft fractures at Cambridge University Hospitals(a United Kingdom major trauma center).We sought to define patient characteristics and our main outcome measures were infection,union and *** To retrospectively define patient and injury characteristics,present our surgical methods and analyze our outcomes–namely infection,union and re-fracture *** Consecutive series of 74 patients with 75 open tibial fractures treated between 2014 and 2020(26 classified as Gustilo-Anderson 3A,47 were 3B and two were 3C).Nine patients underwent intramedullary nailing(IMN),61 underwent Taylor spatial frame(TSF)fixation and 5 were treated with Masquelet technique(IMN and subsequent bone grafting).RESULTS Mean follow-up was 16 mo(IMN)and 25 mo(TSF).We had an infection rate of 6.7%(5),non-union rate of 4%(3)and re-fracture rate of 2.7%(2).Average time to union was 22 wk for IMN and 38.6 wk for ***-three cases had a bone defect with a mean of 5.4 cm(2-11).Patient age,sex,diabetes,smoking status or injury severity did not have a significant effect on union time with either fixation *** limb salvage rate was 98.7%.CONCLUSION Grade 1 to 3A injuries can effectively be treated with reamed or unreamed *** 3B/C injuries are best treated by circular external fixators as they provide good,reproducible outcomes and allow large bone defects to be addressed via distraction osteogenesis.

关键词： Tibia Open fracture Taylor spatial frame Intramedullary nailing Bone defect

READA: Redundancy Elimination for Accurate Data Aggregation in Wireless Sensor Networks

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Wireless Sensor Network 2010年第4期2卷 300-308页

作者： kavi Khedo Rubeena Doomun Sonum Aucharuz 不详

In monitoring systems, multiple sensor nodes can detect a single target of interest simultaneously and the data collected are usually highly correlated and redundant. If each node sends data to the base station, energy will be wasted and thus the network energy will be depleted quickly. Data aggregation is an important paradigm for compressing data so that the energy of the network is spent efficiently. In this paper, a novel data aggregation algorithm called Redundancy Elimination for Accurate Data Aggregation (READA) has been proposed. By exploiting the range of spatial correlations of data in the network, READA applies a grouping and compression mechanism to remove duplicate data in the aggregated set of data to be sent to the base station without largely losing the accuracy of the final aggregated data. One peculiarity of READA is that it uses a prediction model derived from cached values to confirm whether any outlier is actually an event which has occurred. From the various simulations conducted, it was observed that in READA the accuracy of data has been highly preserved taking into consideration the energy dissipated for aggregating the

关键词： Sensor Networks Data Aggregation Data Compression Event Detection Redundancy Elimination

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海洛因依赖者共患心境障碍的相关因素

中华精神科杂志 2013年第6期46卷 350-355页

作者：杨梅廖艳辉王强王红 Vasish kavi 刘铁桥郝伟中南大学湘雅二医院精神卫生研究所长沙410011 四川大学华西医院精神科湖南省脑科医院

目的探讨影响海洛因依赖者共患心境障碍的相关因素.方法对湖南省3家戒毒机构的1002例海洛因依赖者进行横截面调查;采用自制调查表收集一般资料;采用《美国精神障碍诊断与统计手册（第4版）》（DSM-Ⅳ）-TR轴Ⅰ障碍定式临床检查病人版... 详细信息

目的探讨影响海洛因依赖者共患心境障碍的相关因素.方法对湖南省3家戒毒机构的1002例海洛因依赖者进行横截面调查;采用自制调查表收集一般资料;采用《美国精神障碍诊断与统计手册（第4版）》（DSM-Ⅳ）-TR轴Ⅰ障碍定式临床检查病人版（SCID-I/P）调查DSM-Ⅳ轴Ⅰ障碍的终身患病情况.根据是否终身患有心境障碍,将调查对象分为共患心境障碍组（191例）和不共患心境障碍组（811例）.采用单因素与多因素logistic回归方法分析影响共患心境障碍的相关因素.结果单因素分析显示,离异或丧偶[OR=1.65,95％可信区问（CI） 1.06 ～2.59]、童年负性经历（OR=1.58,95％ CI 1.11 ～2.25）、首次使用海洛因动机为缓解苦闷或烦恼（OR =2.41,95％ CI1.48～3.92）、首次使用海洛因体验为难受（OR=1.61,95％ CI1.16～2.24）、强制戒毒次数（3～5次,OR=2.33,95％ CI 1.02 ～5.28;≥6次,OR=3.17,95％ CI1.27～7.88）、患有慢性躯体疾病（OR=1.90,95％ CI 1.36～2.66）、DSM-Ⅳ轴Ⅰ精神障碍阳性家族史（OR=2.03,95％ CI1.17～3.55）、患有其他物质使用障碍（OR=2.19,95％ CI 1.55 ～ 3.09）、焦虑障碍（OR=2.48,95％ CI1.65 ～3.73）和躯体形式障碍（OR=2.10,95％ CI1.17 ～3.77）与海洛因依赖者共患心境障碍相关;多因素分析显示,首次使用海洛因动机为缓解苦闷或烦恼（OR=2.48,95％ CI1.47 ～ 4.20）、首次使用海洛因体验为难受（OR=1.61,95％ CI1.15 ～2.26）、患有慢性躯体疾病（OR=1.92,95％ CI 1.34～2.74）、其他物质使用障碍（OR =2.19,95％ CI1.55 ～3.09）、焦虑障碍（OR=2.48,95％ CI1.65～3.73）和躯体形式障碍（OR =4.48,95％ CI2.04～9.84）最终进入回归模型.结论负性情绪、躯体疾病、其他物质使用障碍和精神障碍可能是影响海洛因依赖者共患心境障碍的相关因素.

关键词：海洛因依赖情绪障碍共病相关因素

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你的饮食习惯环保吗（英文）

大学英语 2013年第10期 9-10页

作者： kavi Chongkittavorn 陆照鸿

I thought I was witnessing an important social phenomenon that would have a huge impact on the eating habits of Chinese in the decades to come.＂Clean Your Plate＂screamed the message1from the middle of a Ming-motif2 dinner plate in a half-page advertisement in China Daily’s July 1,2013 *** was part of the＂clean your plate movement＂,which in Chinese is called guangpan xingdong.

关键词：饮食习惯英文环保 impact would which the that

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西班牙阿尔蒙特剧院

现代装饰 2012年第3期 46-55页

作者： Juan Pedro Donaire Barbero Fernando AIda kavi Sanchez 代照 DONAIRE ARQUITECTOS

阿尔蒙特剧院位于阿尔蒙特镇的“文化城”内，前身为一座葡萄酒酿造厂。正门对面并排有一处公共图书馆和一座艺术学校，三者环绕出一座公共广场。设计中面临的挑战来自于新建建筑与遗留下来的文化景点建筑的融合，既要尊重原有建筑的不... 详细信息

阿尔蒙特剧院位于阿尔蒙特镇的“文化城”内，前身为一座葡萄酒酿造厂。正门对面并排有一处公共图书馆和一座艺术学校，三者环绕出一座公共广场。设计中面临的挑战来自于新建建筑与遗留下来的文化景点建筑的融合，既要尊重原有建筑的不同形态，又要展现出自身的强烈个性，让剧院能够自然的融合其中，成为文化综合体的一部分。建成之后将会成为阿尔蒙特镇的主要建筑和居民乐意前往的大型聚会场所。

关键词：剧院西班牙新建建筑公共图书馆艺术学校公共广场文化酿造厂

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阿斯塔纳国家大剧院

现代装饰 2012年第3期 40-45页

作者： Manfredi Nicoletti Luca F.Nicoletti Fernando Alda kavi Sanchez 代照 Studio Nicoletti Associati事务所

阿斯塔纳国家大剧院，又名哈萨克斯坦中央音乐厅，是世界上最大的剧院之一。意大利工作室Studio Nicoletti在一项国际性的竞赛中赢得了这个项目。在哈萨克斯坦共和国成立四年后，位于一片贫瘠草原的中心地带的阿斯塔纳市被设立为首都。... 详细信息

阿斯塔纳国家大剧院，又名哈萨克斯坦中央音乐厅，是世界上最大的剧院之一。意大利工作室Studio Nicoletti在一项国际性的竞赛中赢得了这个项目。在哈萨克斯坦共和国成立四年后，位于一片贫瘠草原的中心地带的阿斯塔纳市被设立为首都。项目地位于阿斯塔纳中心城区，周围的大型建筑有哈萨克斯坦总统府与参议院。这个区域很宽阔，给人留下了领土无边无际的印象。当建筑师乘飞机飞跃这片干燥的草原时，

关键词：国家大剧院哈萨克斯坦共和国塔中心地带中心城区大型建筑音乐厅工作室

READA: Redundancy Elimination for Accurate Data Aggregation in Wireless Sensor Networks

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