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您的检索式：作者名="Daniel Wulff"
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| 1 | 河流盆地的硅持留:对沿海及海洋环境生物地球化学和水生食物网的深远影响显示文摘河流的拦截调蓄和河流盆地的富营养化大大地降低了溶解态硅(DSi)向黑海和波罗的海的输入。尽管流域中的人为输入可以补偿湖泊和水库中去除的N和P,但却不能补偿DSi。看来河流径流中营养物组成(DSi:N:P比)的变化是黑海浮游植物种类构成戏剧性转变的原因。在波罗的海,DSi浓度和DSi:N比从60年代以来一直在下降,表现为春天旺发的硅藻比例下降,而鞭毛藻却增加了。这对黑海和波罗的海沿海生物地球化学循环和食物网结构的影响可能是深远的,因为它表明,随着以调蓄河水为目的的水坝建设的不断增加,河流输送的DSi的下降可能正在世界范围发生。 | Christoph Humborg Daniel J. Conley Lars Rahm Fredrick Wulff Adriana Cociasu Venugopalan Ittekkot 张国梁 | 2000 | AMBIO-人类环境杂志2000，29，1： | 9 |
| 2 | 内部生态系统反馈加重了固氮蓝藻细菌藻华并使波罗的海管理复杂化显示文摘波罗的海的富营养化可能已潜在地增加了蓝藻细菌藻华发生的频率和规模。富营养化导致有机沉积物的增加,底层缺氧状况的加剧以及随后的系统内磷负荷的加重。此外,低氧水体积呈现与无机氮库负相关的关系,提示随低氧程度的增加,总氮的消除也会增加。系统内磷负荷加重和溶解的无机氮消除的增加将导致较低的氮磷比,而低的氮磷比是促进固氮蓝藻细菌藻华发生的主要原因之一。因为波罗的海开阔水域的蓝藻细菌藻华似乎被其内部作用所强有力地调控,因此,外部营养物质消减的影响与尺度相关。在较长的时间尺度上,外部磷负荷的减少可能会降低蓝藻细菌藻华的发生;然而,在较短时间尺度上,内部磷负荷可能会抵消外部磷负荷的降低。这些可诱导内部负荷(增加)、氮清除以及固氮蓝藻细菌占优势的耦合的过程,可被定性地描述为一种具有潜在自驱式的'恶性循环'。为了有效抑制蓝藻细菌藻华以及所有的富营养化征象,削减氮和磷外部负荷似乎是至关重要的。 | Emil Vahtera Daniel J.Conley Bo G.Gustafsson Harri Kuosa Heikki Pitknen Oleg P.Savchuk Timo Tamminen Markku Viitasalo Maren Voss Norbert Wasmund Fredrik Wulff 陈欣然 | 2007 | AMBIO-人类环境杂志2007，36，2： | 2 |
| 3 | Algorithm-based arterial blood sampling recognition increasing safety in point-of-care diagnostics显示文摘AIM To detect blood withdrawal for patients with arterial blood pressure monitoring to increase patient safety and provide better sample dating.METHODS Blood pressure information obtained from a patient monitor was fed as a real-time data stream to an experimental medical framework. This framework was connected to an analytical application which observes changes in systolic, diastolic and mean pressure to determine anomalies in the continuous data stream. Detection was based on an increased mean blood pressure caused by the closing of the withdrawal three-way tap and an absence of systolic and diastolic measurements during this manipulation. For evaluation of the proposed algorithm, measured data from animal studies in healthy pigs were used.RESULTS Using this novel approach for processing real-time measurement data of arterial pressure monitoring, the exact time of blood withdrawal could be successfully detected retrospectively and in real-time. The algorithm was able to detect 422 of 434(97%) blood withdrawals for blood gas analysis in the retrospective analysis of 7 study trials. Additionally, 64 sampling events for other procedures like laboratory and activated clotting time analyses were detected. The proposed algorithm achieved a sensitivity of 0.97, a precision of 0.96 and an F1 score of 0.97.CONCLUSION Arterial blood pressure monitoring data can be used toperform an accurate identification of individual blood samplings in order to reduce sample mix-ups and thereby increase patient safety. | Jorg Peter Wilfried Klingert Kathrin Klingert Karolin Thiel Daniel Wulff Alfred Konigsrainer Wolfgang Rosenstiel Martin Schenk | 2017 | World Journal of Critical Care Medicine2017，6，3： | 0 |
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