A nanocomposite polymer, Al(OH)3-polyacrylamide (Al-PAM) hybrid, was tested as a flocculant. This novel hybrid polymer was found to induce pellet-like floccules, leading to a more effective solid-liquid separation than common polyacrylamide (PAM)-based flocculants. To understand the mechanism of Al-PAM-induced pelleting flocculation, the molecular structure of this hybrid polymer was studied using an atomic force microscope (AFM). The interactions between Al-PAM molecules and a silica surface were measured using single molecule force spectroscopy (SMFS). The Al-PAM molecules were found to have a star-like structure with Al(OH)3 colloidal particles as cores connecting PAM chains. The SMFS results showed a strong attachment of the Al(OH)3 cores to the silica surface with an adhesion force of approximately 1250 pN, in contrast to a weaker adhesion force of only approximately 250 pN for PAM chains on the silica surface. The Al-PAM-induced pelleting flocculation is attributed to its star-like structure.
arXiv:1810.04511v2 [cs.CV] 3 Jun 2019 frame 1 frame 2 frame n CNN CNN CNN Spatial Attention Spatial Attention Spatial Attention Temporal Attention Temporal Attention Temporal Attention Convolution LSTM Convolution LSTM Convolution LSTM AVG Playing Volleyball X1 < l a t e x i t s h a 1 _ b a s e 6 4 = " B G + 8 X 3 r Z G o V 3 v z 6 / F F z d q k I g 7 b M = " > A A A B 6 n i c b Z B N S 8 N A E I Y n 9 a v W r 6 p H L 4 t F 8 F Q S E f Q k B S 8 e K 9 o P a E P Z b D f t 0 s 0 m 7 E 6 E E v o T v H h Q x K u / y J v / x m 2 a g 7 a + s P D w z g w 7 8 w a J F A Z d 9 9 s p r a 1 v b G 6 V t y s 7 u 3 v 7 B 9 X D o 7 a J U 8 1 4 i 8 U y 1 t 2 A G i 6 F 4 i 0 U K H k 3 0 Z x G g e S d Y H I 7 r 3 e e u D Y i V o 8 4 T b g f 0 Z E S o W A U r f X Q H X i D a s 2 t u 7 n I K n g F 1 K B Q c 1 D 9 6 g 9 j l k Z c I Z P U m J 7 n J u h n V K N g k s 8 q / d T w h L I J H f G e R U U j b v w s X 3 V G z q w z J G G s 7 V N I c v f 3 R E Y j Y 6 Z R Y D s j i m O z X J u b / 9 V 6 K Y b X f i Z U k i J X b P F R m E q C M Z n f T Y Z C c 4 Z y a o E y L e y u h I 2 p p g x t O h U b g r d 8 8 i q 0 L + q e 5 f v L W u O m i K M M J 3 A K 5 + D B F T T g D p r Q A g Y j e I Z X e H O k 8 + K 8 O x + L 1 p J T z B z D H z m f P 9 m v j X w = < / l a t e x i t > < l a t e x i t s h a 1 _ b a s e 6 4 = " B G + 8 X 3 r Z G o V 3 v z 6 / F F z d q k I g 7 b M = " > A A A B 6 n i c b Z B N S 8 N A E I Y n 9 a v W r 6 p H L 4 t F 8 F Q S E f Q k B S 8 e K 9 o P a E P Z b D f t 0 s 0 m 7 E 6 E E v o T v H h Q x K u / y J v / x m 2 a g 7 a + s P D w z g w 7 8 w a J F A Z d 9 9 s p r a 1 v b G 6 V t y s 7 u 3 v 7 B 9 X D o 7 a J U 8 1 4 i 8 U y 1 t 2 A G i 6 F 4 i 0 U K H k 3 0 Z x G g e S d Y H I 7 r 3 e e u D Y i V o 8 4 T b g f 0 Z E S o W A U r f X Q H X i D a s 2 t u 7 n I K n g F 1 K B Q c 1 D 9 6 g 9 j l k Z c I Z P U m J 7 n J u h n V K N g k s 8 q / d T w hc 4 Z y a o E y L e y u h I 2 p p g x t O h U b g r d 8 8 i q 0 L + q e 5 f v L W u O m i K M M J 3 A K 5 + D B F T T g D p r Q A g Y j e I Z X e H O k 8 + K 8 O x + L 1 p J T z B z D H z m f P 9 m v j X w = < / l a t e x i t > < l a t e x i t s h a 1 _ b a s e 6 4 = " B G + 8 X 3 r Z G o V 3 v z 6 / F F z d q k I g 7 b M = " > A A A B 6 n i c b Z B N S 8 N A E I Y n 9 a v W r 6 p H L 4 t F 8 F Q S E f Q k B S 8 e K 9 o P a E P Z b D f t 0 s 0 m 7 E 6 E E v o T v H h Q x K u / y J v / x m 2 a g 7 a + s P D w z g w 7 8 w a J F A Z d 9 9 s p r a 1 v b G 6 V t y s 7 u 3 v 7 B 9 X D o 7 a J U 8 1 4 i 8 U y 1 t 2 A G i 6 F 4 i 0 U K H k 3 0 Z x G g e S d Y H I 7 r 3 e e u D Y i V o 8 4 T b g f 0 Z E S o W A U r f X Q H X i D a s 2 t u 7 n I K n g F 1 K B Q c 1 D 9 6 g 9 j l k Z c I Z P U m J 7 n J u h n V K N g k s 8 q / d T w h L I J H f G e R U U j b v w s X 3 V G z q w z J G G s 7 V N I c v f 3 R E Y j Y 6 Z R Y D s j i m O z X J u b / 9 V 6 K Y b X f i Z U k i J X b P F R m E q C M Z n f T Y Z C c 4 Z y a o E y L e y u h I 2 p p g x t O h U b g r d 8 8 i q 0 L + q e 5 f v L W u O m i K M M J 3 A K 5 + D B F T T g D p r Q A g Y j e I Z X e H O k 8 + K 8 O x + L 1 p J T z B...
Recently, there has been a surge in the popularity of voice-first devices, such as Amazon Echo, Google Home, etc. While these devices make our life more convenient, they are vulnerable to new attacks, such as voice replay. We develop an end-to-end system to detect replay attacks without requiring a user to wear any wearable device. Our system, called REVOLT, has several distinct features: (i) it intelligently exploits the inherent differences between the spectral characteristics of the original and replayed voice signals, (ii) it exploits both acoustic and WiFi channels in tandem, (iii) it utilizes unique breathing rate extracted from WiFi signal while speaking to test the liveness of human voice. After extensive evaluation, our voice component yields Equal Error Rate (EER) of 0.88% and 10.32% in our dataset and ASV2017 dataset, respectively; and WiFi based breathing detection achieves Breaths Per Minute (BPM) error of 1.8 up to 3m distance. We further combine WiFi and voice based detection and show the overall system offers low false positive and false negative when evaluated against a range of attacks.
Ionic-complementary peptides are promising new biomaterials with potential applications in bionanotechnology. In the present investigation, a typical ionic-complementary peptide, EFK16-II, was used to modify a highly ordered pyrolytic graphite (HOPG) electrode. Upon modification, peptide nanofibers, parallel or oriented 608 or 1208 to each other, were formed on the surface of HOPG electrode. Surface wettability of the electrode was improved as indicated by a significant decrease in the water contact angle. The electrochemical response of the EFK16-II nanofiber-modified HOPG electrode for the ferricyanide/ferrocyanide redox couple was characterized. Cyclic voltammograms indicated that the presence of peptide nanofibers on the HOPG electrode did not block electron transfer at slow scan rates ($2 mV/s), but did so at high scan rates ($ 100 mV/s). A model enzyme glucose oxidase (GOx) was covalently immobilized onto this nanofiber-modified electrode, and its potential as an enzyme-based biosensor for glucose was examined. At an applied potential of þ0.45 V (vs. Ag/AgCl), the current increased linearly with glucose concentration up to 7.5 mM and a relative high sensitivity was obtained at 11.3 AE 1.0 nA/(mM mm 2 ). The immobilized GOx showed high affinity for glucose, with a Michaelis-Menten constant K m of 6.8 AE 0.9 mM. It also exhibited relatively good storage and operational stabilities, and reflected in only a small decrease (13%) in the current response after 1 month storage and negligible changes upon 50 cyclic voltammetric scans.The results presented here demonstrate an excellent potential of the use of ionic-complementary peptides to modify electrode surfaces for biomolecular sensing and diagnostics.
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In this work, we present a novel data-driven method for robust 6DoF object pose estimation from a single RGBD image. Unlike previous methods that directly regressing pose parameters, we tackle this challenging task with a keypointbased approach. Specifically, we propose a deep Hough voting network to detect 3D keypoints of objects and then estimate the 6D pose parameters within a least-squares fitting manner. Our method is a natural extension of 2Dkeypoint approaches that successfully work on RGB based 6DoF estimation. It allows us to fully utilize the geometric constraint of rigid objects with the extra depth information and is easy for a network to learn and optimize. Extensive experiments were conducted to demonstrate the effectiveness of 3D-keypoint detection in the 6D pose estimation task. Experimental results also show our method outperforms the state-of-the-art methods by large margins on several benchmarks.
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