10 research outputs found

    南北接力养殖对皱纹盘鲍营养成分的影响

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    鲍的南北接力养殖是我国的一种常见养殖模式,旨在提高南方鲍鱼在夏季的存活率。鲍鱼通常在4月份从中国南方运至北方,11月返回南方。本实验探讨了这种模式对皱纹盘鲍营养成分的影响。测定方法主要依据GB 5009系列。研究样品于2017年12月采样,为相同饵料喂养(龙须菜)的商品鲍。两组鲍分别为全年于南方养殖(连江)的皱纹盘鲍和南北接力养殖的皱纹盘鲍。结果发现,两组鲍足肌中灰分、胶原蛋白、粗脂肪和糖原含量并没有显著差异,但南北接力组(水分:76.50%WW,蛋白质48.40%DW)相比于全年于南方养殖组(水分:73.70%WW,蛋白质:56.80%DW)有较高的水分含量和更低的蛋白质含量。矿物质含量方面,全年于南方养殖的皱纹盘鲍(0.07 mg/100g)足肌中硒的含量高于南北接力养殖组(0.05 mg/100 g)。呈味氨基酸方面,南北接力养殖方式下的皱纹盘鲍,其足肌谷氨酸、牛磺酸、精氨酸、赖氨酸和呈味氨基酸总量显著低于全年南方养殖组。脂肪酸方面,两组鲍有相似的脂肪酸组成,但南北接力养殖组的脂肪酸营养价值较高。研究表明,南北接力养殖模式对皱纹盘鲍的营养成分既有积极影响,又有消极影响,但总体上看差别并不显著。国家重点研发计划(2018YFD0901400)国家自然科学基金(U1605213)福建省科技重大专项科技重大专项(2016NZ0001)现代农业产业技术体系建设专项(CARS-49)福建省海洋生物资源开发利用协同创新中心产学研基金(FJMBIO1506)~

    南北接力养殖对皱纹盘鲍营养成分的影响研究

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    鲍的南北接力养殖是我国的一种常见养殖模式,旨在提高南方鲍鱼在夏季的存活率。鲍鱼通常在4月份从中国南方运至北方,11月返回南方。本研究旨在探讨这种模式对皱纹盘鲍营养成分的影响。测定方法主要依据GB 5009系列。研究样品于2017年12月采样,为相同饵料喂养(龙须菜)的商品鲍。两组鲍分别为全年于南方养殖(连江)的皱纹盘鲍和南北接力养殖的皱纹盘鲍。研究结果表明,两组鲍足肌中灰分、胶原蛋白、粗脂肪和糖原含量并没有显著差异,但南北接力组(水分:76.50%WW,蛋白质48.40%DW)相比于全年于南方养殖组(水分:73.70%WW,蛋白质:56.80%DW)有较高的水分含量和更低的蛋白质含量。矿物质含量方面,全年于南方养殖的皱纹盘鲍(0.07mg/100g)足肌中硒的含量高于 “南北接力”养殖组(0.05mg/100g)。呈味氨基酸方面,“南北接力”养殖方式下的皱纹盘鲍,其足肌谷氨酸、牛磺酸、精氨酸、赖氨酸和呈味氨基酸总量显著低于全年南方养殖组。脂肪酸方面,两组鲍有相似的脂肪酸组成,但南北接力养殖组的脂肪酸营养价值较高。综合分析认为,南北接力养殖模式对皱纹盘鲍的营养成分既有积极影响,又有消极影响,但总体上看差别并不显著

    Analysis of root canal system and the consistency between maxillary first and second molars in a Taiwanese population: a CBCT study

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    實驗目的 在許多牙齒和根管型態的研究中發現,許多牙齒根管的變異好發於某些特定族群。在亞洲人種當中:C型根管、上顎臼齒有額外近心根管、下顎臼齒有遠心舌側牙根的比率,似乎比其他人種來的高。在文獻回顧中上顎臼齒的根管治療臨床上失敗率很高,被歸因於其複雜的根管型態,本研究的目的是利用錐狀射束電腦斷層(CBCT)來分析台灣人口中,上顎第一大臼齒和第二大臼齒的根管系統的型態和彼此間的相似性、對稱性、和關聯性。 實驗方法 本研究蒐集了從2014年1月到2014年12月在台大醫院牙科部有照射CBCT影像的病人,符合條件的病人一共有519位。由兩位根管專科醫師和一位放射師來判讀這1741顆上顎大臼齒的影像,和分析兩顆上顎大臼齒彼此間的關聯性。 實驗結果 在台灣人口中,上顎第一大臼齒最常見的型態是三牙根四根管(3R4C),而上顎第二大臼齒最常見的型態則是三牙根三根管(3R3C)。在356位具有兩個上顎第一大臼齒的病人中,兩側的上顎第一大臼齒根管型態對稱的比率是87.36%;在392位具有兩個上顎大臼齒的病人中,兩側上顎第二大臼齒對稱的比率是79.85%。在相鄰兩顆上顎第一和第二大臼齒的組別中(右側375組,左側388組),右側上顎第一大臼齒和上顎第二大臼齒根管具有相似性的比率是53.07%,左側組別則是52.58%。兩側上顎第一大臼齒同時具有近心頰側第二根管(MB2canal)的比率是77.8%,在雙側上顎第二大臼齒則是35.97%。在110位雙側上顎第二大臼齒同時具有近心頰側第二根管的病人中,他們的雙側上顎第一大臼齒也同時具有近心頰側第二根管的比率幾乎是100%。 結論 上顎第一大臼齒比上顎第二大臼齒有更高的3牙根四根管(3R4C)的盛行率。在同一位病人中,上顎同質性的牙齒根管型態的對稱性高於相鄰兩顆上顎大臼齒。術前分析CBCT影像和了解根管可能的關聯性,可以有效率的提升根管治療的成功率。Objectives The aim of this study was to use cone-beam computed tomography (CBCT) to analyze the morphology and similarity / symmetry of root canal systems in the maxillary first and second molars in Taiwanese. Materials and methods A total of 519 patients in the dental department of NTUH from January 2014 to December 2014 were enrolled. Overall, CBCT images of 1741 maxillary molars were blindly examined by two endodontists to analyze the correlation of root canal systems between the first molars and second molars as well as the bilateral first or second molars. Results The most common type in Taiwanese maxillary first molars is 3R4C (3 roots/4 canals), whereas in maxillary second molars is 3R3C.The symmetry of root canal system in bilateral maxillary first and second molars were found in 87.36% and 79.85%,respectively. The similarities of root canal system in adjacent maxillary first and second molars were 53.07% in right side and 52.58% in left side. The concurrence of MB2 canal in bilateral maxillary first molars is 77.8%, whereas is 35.97% in maxillary second molars. In the 110 patients MB2 canal in bilateral maxillary second molars, the chances of bilateral MB2 canals in their maxillary first molar is almost 100%. Conclusions Maxillary first molars have higher prevalence of 3R4C root canal system than maxillary second molars. The symmetry and similarity were higher in bilateral maxillary homonym molars than in adjacent maxillary molars. These information and assessing CBCT images in advance provide a totally understandings of the whole root canal system, and improve the endodontic treatment outcome efficiently

    A Study of User Acceptance of Cloud Computing Technology

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    近年來,運算產業因為突起的雲端運算而產生劇烈的變革,除了資訊技術廠商皆積極尋求突破以外,許多IT顧問公司也持續關注著雲端運算應用的發展方向,尤其是這項運算產業的新風潮背後所隱藏的商機相當龐大,使得所有公司企業都期盼在這次的運算改革中,提升本身的競爭能力,獲得更多商業機會,開拓市場,而也因為雲端運算的重要性不容忽視,雲端技術的引進也可能會是未來企業重要的轉變,因此企業除了拓展商機,也要試圖讓企業內部接受新技術,使得新技術能確實發揮其功效與好處,因此為了能讓雲端運算的應用發揮效能,首先應突破的就是雲端運算使用者接受度問題。 過去已有相當多的研究在探討使用者科技接受議題,技術採用相關之理論更是逐漸完善,由於雲端運算含括許多獨特的運算特性,因而被視作一項新的IT技術,因此本研究進行雲端運算使用者接受度之探討,希望能了解影響雲端科技採用決策的因素,於是本研究使用科技接受模型為基礎,並加入創新擴散理論的重要因素,提出一個整合性的雲端運算使用者接受度模型,最後藉由實證研究證實此模型確實相當適宜且可用的。In recent years, due to the intense revolutions in the computing industry from surging development of cloud computing, not only information technology firms have tried hard to make a breakthrough, but also many IT consultant companies have kept focus on the development of cloud computing applications. Particularly, there will be massive business opportunities from this new trend in the computing industry. This fact makes every enterprise try to improve their competing capabilities during this revolution to gain more business opportunities and expand their markets. Since the importance of cloud computing cannot be ignored, the adoption of cloud technology in enterprise would be an important change. Therefore, in addition to expanding business opportunities, enterprises attempt to enhance the internal technology acceptance, and then the new technology would fulfill its functions and advantages. As a result, the first step to take is to solve the problems of user acceptance in order to take the advantages of cloud computing applications. There were many studies of user acceptance in the past, and the theories about technology adoption are getting perfect. Due to the unique characteristics, cloud computing is considered to be a new information technology. Therefore, this study focuses on exploring user acceptance of cloud computing in order to understand the decision factors of cloud technology adoption. We use Technology Acceptance Model as basic knowledge as well as Innovation Diffusion Theory to add important decision factors, and provide an integrated model of user acceptance of cloud computing. Through the empirical experiment we prove this model as a suitable and useful user acceptance model in cloud computing

    複製/父制的兩性關係-晚間綜藝節目內容分析

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    本研究以民國八十八年七月至同年十二月間,由國內自製,電視節目分級標識為「普遍級」,且於晚間七時至十二時,以提供娛樂為主,及以多樣形式或多樣組合內容方式播出的無線商業電視台綜藝節目為研究對象,並試圖以分析文本內容的方式,自「性別角色特質」及「性騷擾行為」的檢測中探究其間再現出的兩性關係與兩性互動。在研究設計上,本研究將其區分為二個階段。第一階段,先透過統計分析得出各單元與各節目之性別角色特質及性騷擾行為的數據分佈,而後於第二階段提出綜藝節目再現出的兩性關係型態與不同的綜藝節目類型。根據內容分析結果,研究發現有三:一、在單元及節目的各別分析結果部分,晚間綜藝節目中的男女呈現仍維持在傳統「男人要有男人的樣子,女人要有女人的樣子」階段,男性亦習於藉由不斷地性活動,尤其是性騷擾女性來證明自己是男子漢。二、綜藝節目再現出的兩性關係型態有:(1)俊男、醜男與美女;(2)呈現簡化與複雜的情感世界;(3)親密行為娛樂化;(4)「賺」「虧」的價值觀;與(5)「男強女弱」的性別意識。三、綜藝節目類型有四,包括「兩性平等型」節目、「刻板印象型」節目、「性騷擾型」節目與「父權意識型」節目,其中,在本研究期間以「兩性平等型」及「性騷擾型」節目較多。自上述研究發現可知,無線晚間綜藝節目再現出的內容不僅深化了性別間權力的不平等狀態,亦複製了父制的兩性關係。另外,延伸研究結果而來的問題則是綜藝節目如何在提供娛樂之餘,尚能兼顧媒介應有的責任與義務:傳遞性別平等意識的內容給閱聽人,這不僅是當前綜藝節目急需突破的瓶頸,亦為各方所應共同深思的課題

    不同心理状态企业员工血尿酸水平的比较

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    目的比较不同心理状态企事业员工血尿酸水平。方法 2019年1月至2021年8月在解放军总医院体检的企事业单位员工中选择200例在职员工作为本次研究对象, 依据心理压力、焦虑与抑郁程度量表分值, 3种心理状态由轻到重各分为4组, 经单因素方差分析与Speraman相关性分析, 研究对象基线资料、血尿酸水平、肌酐水平和尿素氮水平, 探讨不同心理状态与血尿酸水平变化的关系。结果依照心理压力、焦虑、抑郁程度分组比较, 心理压力较小、正常、偏高、较大, 血尿酸水平分别为(198.52&plusmn;30.24)&mu;mol/L、(256.52&plusmn;10.33)&mu;mol/L、(354.20&plusmn;15.54)&mu;mol/L、(399.20&plusmn;20.20)&mu;mol/L, 4组间有显著差异(F=694.662, P&lt;0.001);无焦虑、轻度焦虑、中度焦虑、重度焦虑, 血尿酸水平分别为(210.42&plusmn;30.20)&mu;mol/L、(256.50&plusmn;12.33)&mu;mol/L、(355.21&plusmn;15.16)&mu;mol/L、395.10&plusmn;16.20 &mu;mol/L 4组间有显著差异(F=338.096, P&lt;0.001);无抑郁、轻度抑郁、中度抑郁、重度抑郁, 血尿酸水平分别为(200.42&plusmn;30.45)&mu;mol/L、(258.50&plusmn;12.35)&mu;mol/L、(356.21&plusmn;15.14)&mu;mol/L、(395.20&plusmn;16.21)&mu;mol/L, 4组间有显著差异(F=411.244, P&lt;0.001)。不同心理状态的员工血尿酸水平均有统计学差异, 且随心理状态变化程度加重致血尿酸水平呈现由低向高逐渐升高的趋势。企事业员工不同心理状态分值与尿酸水平呈正相关关系(r=0.885、0.780、0.794, P&lt;0.05), 且血尿酸水平变化与肌酐、尿素氮水平无相关性(r=1.869、3.887、5.798, P&gt;0.05)。结论不同心理状态的企事业员工血尿酸水平不同, 且心理压力越大, 抑郁、焦虑程度越重, 生理指标血尿酸水平亦越高, 且血尿酸水平升高与肌酐、尿素氮无关。</p

    Electronic Product Returns Forecasting Based on Data-driven

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    电子产品型号类型多、更新速度快等特点导致了预测回收量的难度大,因此对第三方维修服务商而言,电子产品回收量预测的精度直接影响到企业的运营成本以及服; 务水平.通过企业真实数据的回归分析,发现产品的累计销售量与累计回收量之间存在显著的线性相关性,由此设计了回归预测方法与阻尼趋势预测方法相结合的组; 合预测方法,并进行数值实验.实验结果表明该组合预测方法在电子产品回收预测量中能达到比使用单个模型更好的效果,实现了预测精度的显著提升.Characteristics of electronic products such as multiplicity and rapid; renewal render returns more difficult to forecast.For third party; maintenance service providers,the accuracy of electronic products; returns forecasting plays a crucial role in terms of operation cost and; service level.This paper uses a company's real data to find that there; exits a linear relationship between its cumulative sales and cumulative; returns quantity by linear regression,and develops a new forecasting; method combining regression forecasting method with damped trend; exponential smoothing method.Results of the numerical experiment show; that this combination method performs better in practice than those; single models do,and the forecasting accuracy can be improved; significantly.国家自然科学基

    JUNO Sensitivity on Proton Decay pνˉK+p\to \bar\nu K^+ Searches

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    The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in pνˉK+p\to \bar\nu K^+ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via pνˉK+p\to \bar\nu K^+ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is 9.6×10339.6 \times 10^{33} years, competitive with the current best limits on the proton lifetime in this channel

    JUNO sensitivity on proton decay pνK+p → νK^{+} searches

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    JUNO sensitivity on proton decay p → ν K + searches*

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    The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the pνˉK+ p\to \bar{\nu} K^+ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via pνˉK+ p\to \bar{\nu} K^+ is 36.9% ± 4.9% with a background level of 0.2±0.05(syst)±0.2\pm 0.05({\rm syst})\pm 0.2(stat) 0.2({\rm stat}) events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is 9.6×1033 9.6 \times 10^{33} years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies
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