Paper figure caption的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列包括價格和評價等資訊懶人包

藉由使用金屬-電解質-膜-矽結構中的鉑/氧化鎳感測膜來檢測多巴胺/肌氨酸前列腺癌症生物指標

為了解決Paper figure caption的問題，作者Anisha Roy 這樣論述：

Recently, the bio-medical sensing field is enriching day by day for diagnosing human diseases shortly. Now-a-days, point-of-care-testing is well-accepted medical diagnostic technique as samples can be tested near the patient care. It is obviously better than the conventional diagnosis methods as it

displays prompt diagnosis result without expensive laboratory setup. The point-of-care-testing is simple medical tests often known as rapid diagnostic tests. To achieve more simplicity and robust testing results, researches are going to find novel sensing membranes with promising structure on silic

on (Si) platform.Besides various causes of human death due to diseases, dopamine detection is a significant topic as it is responsible for Schizophrenia, Parkinson’s disease (PD) etc. Parkinson’s disease is long-term degenerative disorder of the central nervous system, which results into the symptom

s of thinking, walking, sleeping, emotional, anxiety, depression, and so on. As there is no cure of it at this time, only symptoms can be improved through treatment. Therefore, early-stage diagnosis is very important for better control of dopamine concentration in human body. It is well-known that d

opamine remains in human blood. Basically, dopamine is a catecholamine-based neurotransmitter which is synthesized in brain and kidneys. Normal range of dopamine is 26-40 nM. Dopamine concentration in blood beyond this value indicates abnormality. Dopamine detection using a simple as-deposited Pt/n-

Si structure is investigated for the first time, with a low concentration of 10 pM. The Pt thin film was deposited in RF sputtering system. Dopamine with long concentration range of 10 pM to 1 µM is measured. The detection mechanism is owing to Schottky barrier height modulation through reduction-ox

idation of Pt membrane in contact of dopamine.To achieve repeatable and stable dopamine detection, Pt membrane is annealed at elevated temperatures. Novel Pt/Ti/n-Si Schottky diode in metal-electrolyte-membrane-silicon (MEMS) structure detects dopamine with a low concentration of 1 pM for the first

time. The Pt membrane with thicknesses from 10 nm to 2 nm is optimized in elevated temperatures. N2/O2 gas ambient was used to optimize the membrane. The Pt membrane with N2 ambient annealing shows lowest concentration dopamine sensing with a small volume of 10 µL, acceptable stability and repeatabi

lity, and avoid interference effect. Scan rate dependent dopamine concentration sensing is also investigated. This study is useful for early diagnosis of Parkinson’s disease in near future.In addition, we have detected prostate cancer biomarker also. Among the life-threatening other cancers, prostat

e cancer has become the second largest death among males. A selective sarcosine prostate cancer biomarker detection is performed by using enzymatic reaction. Sarcosine as a prostate cancer biomarker is drawing much attention due to excess presence in urine and the level of sarcosine increases in pro

gression of prostate cancer. Sarcosine concentration from the normal level of 0.60 to higher than 2.67 μM is a clear indication of prostate cancer. However, early detection of sarcosine with the low concentration is a challenging task, which needs to be solved for further advancement of the diagnost

ic process. Sarcosine prostate cancer biomarker with the low concentration of 1 pM has been detected by controlling oxygen from 1 to 15 sccm in NiOx membrane on chemically etched vertical Si nanowires (SiNWs) in MEMS structure. The vertical Si nanowires with approximately 17 µm-long and polycrystall

ine NiOx membrane are observed by both field-emission scanning electron microscope and high-resolution transmission electron microscope images, respectively. The optimized NiOx membrane with oxygen content of 4 sccm on planar SiOx/Si substrate shows good pH sensitivity of approximately 50 mV/pH, low

hysteresis of 3.4 mV, and low drift rate of 2.4 mV/hr as compared to other oxygen content membranes of 1, 10 and 15 sccm. Further, uric acid with the concentration of 0.1 µM is detected directly by using optimized NiOx membrane. Repeatable H2O2 sensing with the low concentration of 10 pM as well as

prostate cancer biomarker is detected. The sensing mechanism is owing to Ni2+/Ni3+ oxidation states of the NiOx membrane, which is confirmed by X-ray photo-electron spectroscopy. The optimized NiOx membrane on vertical Si nanowire in metal-electrolyte-silicon structure shows good drift rate of 3.84

mV/hr. Sarcosine detection with improvement of approximately 1000 times as compared to the planar Si in electrolyte-insulator-semiconductor (EIS) structure. This sensor paves a way to detect early-stage diagnosis of prostate cancer rapidly in near future.

基於場景理解與互動剖析之多注意力未來路徑生成網路

為了解決Paper figure caption的問題，作者林皓翔 這樣論述：

路徑預測技術促進了各種應用，準確的結果將保證自動駕駛的安全導航。交通場景中混雜了多種用路物件的環境稱作異構環境，而這會頻繁的出現在我們日常的駕駛情境中，由於場景中復雜的社交互動與物理限制，在異構環境下預測令人信服的軌跡仍然是一個相當具有挑戰性的問題。在本文中，我們試圖解決這些問題通過引入兩個強化注意力模組，分別從社交互動和場景視覺上關注大環境中的重要信息，再進一步利用 Info-GAN 架構來預測具有多峰分布性質的軌跡。實驗結果表明，所提出的方法在異構和同構環境中均顯著優於當前最先進的方法。