2018 IEEE International Symposium on Multimedia (ISM), 2018
Conventional practices for recording student attendance in a classroom, such as roll-call and sig... more Conventional practices for recording student attendance in a classroom, such as roll-call and sign-in-sheet, are proven to be inefficient in terms of time and staff-workload. In addition, they are also prone to human error and bogus attendance, which introduce inaccuracy in the recorded data. A number of studies have been conducted to improve the way we record class attendance. However, some of the proposed solutions are costly and impractical. Most solutions also fail to address bogus attendance. This paper presents a low cost solution in recording student attendance. Attendance is recorded on class photographs, students' faces are automatically located using a face detection technique, and students then registered their attendance by simply identifying their face on the records. Mobile applications were developed for both students and lecturers as the primary interfaces to interact with the system.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine - ISICDM 2019, 2019
Prostate cancer is the second highest incidence of cancer in men worldwide. Therefore, early dete... more Prostate cancer is the second highest incidence of cancer in men worldwide. Therefore, early detection of prostate cancer is of great clinical significance. In the past few decades, multi-parametric MRI has been increasingly used in the detection of prostate cancer. However, this requires the radiologists to have a higher degree of prostate MRI reading experiences, which may be greatly influenced by the subjective judgment. Our goal is to establish a prostate cancer tissue segmentation system based on multiparametric MRI to help doctors automatically define prostate cancer regions. We proposed a convolutional neural network architecture based on the U-net model for segmentation of prostate cancer tissue. The multiparametric MRI images of the pelvis are rescaled, merged together, and delivered into a convolutional neural network architecture for training. Test images of the pelvis were used to evaluate the capability of the trained CNN architecture. The results showed that the proposed algorithm can efficiently segment prostate cancer tissue with a high accuracy and can be applied to computer assisted prostate cancer diagnosis.
2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA), 2018
The rapid development in face detection study has been greatly supported by the availability of l... more The rapid development in face detection study has been greatly supported by the availability of large image datasets, which provide detailed annotations of faces on images. However, among a number of publicly accessible datasets, to our best knowledge, none of them are specifically created for academic applications. In this paper, we propose a systematic method in forming an image dataset tailored for classroom environment. We also made our dataset and its exploratory analyses publicly available. Studies in computer vision for academic application, such as an automated student attendance system, would benefit from our dataset.
2017 International Symposium on Big Data Visual Analytics (BDVA), 2017
Augmented Reality and Gamification are displaying beneficial effects to enhance user experience a... more Augmented Reality and Gamification are displaying beneficial effects to enhance user experience and performance in many domains. They are widespread across many areas like education, industrial training, marketing, and services. However, the idea of combining the two approaches for an innovative training instrument is fairly new, especially in assembly training. Moreover, learning about the effects of gamification on human, user engagement, in particular, is a complicated subject. There have been several efforts toward this direction, yet the overall situation is still nascent. In this work, we present a gamified augmented reality training for an industrial task and investigate user engagement effect while training with the gamified and the nongamified system. The result shows that people perform better and engage to a greater degree in the gamified design.
We present I-Flight, a virtual reality based visual analysis system for insect movement data. I-F... more We present I-Flight, a virtual reality based visual analysis system for insect movement data. I-Flight aids in understanding insect movements and collective flight behaviour in a simulated environment. Towards this end, I-Flight visualises insect flight paths in their natural, 3D geo-spatial context. In this paper, we demonstrate the use of I-Flight for honey bee flight data and related environmental variables. The system is designed to be extendible to other insect flight data by adopting the data attribute space and the respective mapping onto visual variables, such as colours. The value of the presented I-Flight system is not only in complementing existing scientific methods and tools for understanding honey bee behaviour, but also in raising broader awareness for honey bee preservation through an engaging, immersive environment.
Broadcast Encryption is a fundamental cryptographic primitive, that gives the ability to send a s... more Broadcast Encryption is a fundamental cryptographic primitive, that gives the ability to send a secure message to any chosen target set among registered users. In this work, we investigate broadcast encryption with anonymous revocation, in which ciphertexts do not reveal any information on which users have been revoked. We provide a scheme whose ciphertext size grows linearly with the number of revoked users. Moreover, our system also achieves traceability in the black-box confirmation model. Technically, our contribution is threefold. First, we develop a generic transformation of linear functional encryption toward trace-and-revoke systems for 1-bit message space. It is inspired from the transformation by Agrawal et al (CCS'17) with the novelty of achieving anonymity. Our second contribution is to instantiate the underlying linear functional encryptions from standard assumptions. We propose a DDH-based construction which does no longer require discrete logarithm evaluation during the decryption and thus significantly improves the performance compared to the DDH-based construction of Agrawal et al. In the LWE-based setting, we tried to instantiate our construction by relying on the scheme from Wang et al (PKC'19) only to find an attack on this scheme. Our third contribution is to extend the 1-bit encryption from the generic transformation to n-bit encryption. By introducing matrix multiplication functional encryption, which essentially performs a fixed number of parallel calls on functional encryptions with the same randomness, we can prove the security of the final scheme with a tight reduction that does not depend on n, in contrast to employing the hybrid argument.
Recent trends in Extended Reality technologies, including Virtual Reality and Mixed Reality, indi... more Recent trends in Extended Reality technologies, including Virtual Reality and Mixed Reality, indicate that the future infrastructure will be distributed and collaborative, where end-users as well as experts meet, communicate, learn, interact with each other, and coordinate their activities using a globally shared network and meditated environments. The integration of new display devices has largely changed how users interact with the system and how those activities, in turn, change their perception and experience. Although a considerable amount of research has already been done in the fields of computer-supported collaborative work, human-computer interaction, extended reality, cognitive psychology, perception, and social sciences, there is still no in-depth review to determine the current state of research on multiple-user-experience-centred design at the intersection of these domains. This paper aims to present an overview of research work on coexperience and analyses important aspects of human factors to be considered to enhance collaboration and user interaction in collaborative extended reality platforms, including: (i) presence-related factors, (ii) group dynamics and collaboration patterns, (iii) avatars and embodied agents, (iv) nonverbal communication, (v) group size, and (vi) awareness of physical and virtual world. Finally, this paper identifies research gaps and suggests key directions for future research considerations in this multidisciplinary research domain.
Objective: We analyzed the COVID-19 Open Research Dataset (CORD-19) to understand leading researc... more Objective: We analyzed the COVID-19 Open Research Dataset (CORD-19) to understand leading research institutions, collaborations among institutions, major publication venues, key research concepts, and topics covered by pandemic-related research.Methods: We conducted a descriptive analysis of authors’ institutions and relationships, automatic content extraction of key words and phrases from titles and abstracts, and topic modeling and evolution. Data visualization techniques were applied to present the results of the analysis.Results: We found that leading research institutions on COVID-19 included the Chinese Academy of Sciences, the US National Institutes of Health, and the University of California. Research studies mostly involved collaboration among different institutions at national and international levels. In addition to bioRxiv, major publication venues included journals such as The BMJ, PLOS One, Journal of Virology, and The Lancet. Key research concepts included the coronav...
2017 Ninth International Conference on Quality of Multimedia Experience (QoMEX), 2017
We performed a user study in which we investigated the user experience of HoloBee, a visual analy... more We performed a user study in which we investigated the user experience of HoloBee, a visual analytics system for the exploration of bee drift data. We compared two user interfaces, a head-mounted augmented reality (aR) interface and a desktop interface. We present here a correlation analysis of the user experience ratings that we collected in a questionnaire: intuitive, easy to use, comfortable, natural, and efficient. All criteria are strongly correlated with an interface preference rating. Efficient and comfortable are, respectively, found to be most and least strongly correlated with interface preference. Furthermore, while all rating criteria are highly correlated amongst themselves for the desktop interface, natural and intuitive are only marginally correlated for the AR interface indicating that natural user interfaces are not necessarily intuitive.
We analyze the acoustic-prosodic and lexical correlates of persuasiveness, taking into account sp... more We analyze the acoustic-prosodic and lexical correlates of persuasiveness, taking into account speaker, judge and debate characteristics in a novel data set of 674 audio profiles, transcripts, evaluation scores and demographic data from professional debate tournament speeches. By conducting 10-fold cross validation experiments with linear, LASSO and random forest regression, we predict how different feature combinations contribute toward speech scores (i.e. persuasiveness) between men and women. Overall, lexical features, i.e. word complexity, nouns, fillers and hedges, are the most predictive features of speech evaluation scores; in addition to the gender composition of judge panels and opponents. In a combined lexical and demographic feature model, we achieve an R 2 of 0.40. Different lexical features predict speech evaluation scores for male vs. female speakers, and further investigation is necessary to understand whether differential evaluation standards applied across genders. This work contributes a larger-scale debate data set in a democratically relevant, competitive format with high external relevance to persuasive speech education in other competitive settings.
BackgroundMyelin plasticity has emerged as a novel mechanism by which the nervous system can chan... more BackgroundMyelin plasticity has emerged as a novel mechanism by which the nervous system can change with experience, offering new potential for rehabilitation-induced recovery after neurotrauma. This first-in-human study investigated whether innovative, downhill locomotor rehabilitation promotes myelin plasticity in individuals with chronic, incomplete spinal cord injury (SCI).MethodsOf 20 individuals with SCI that enrolled, 4 passed the imaging screen and had myelin water imaging (MWI) before and after a 12-week (3 times/week) downhill locomotor treadmill training program (SCI+DH). One individual was excluded for imaging artifacts. Uninjured control participants (n=7) had two MWI sessions within the same day. Changes in myelin water fraction (MWF), a histopathologically-validated myelin biomarker, were analyzed in a priori motor learning and non-motor learning brain regions and the cervical spinal cord using statistical approaches appropriate for small sample sizes.ResultsWithin SC...
Let X ∈ Z n×m , with each entry independently and identically distributed from an integer Gaussia... more Let X ∈ Z n×m , with each entry independently and identically distributed from an integer Gaussian distribution. We consider the orthogonal lattice Λ ⊥ (X) of X, i.e., the set of vectors v ∈ Z m such that Xv = 0. In this work, we prove probabilistic upper bounds on the smoothing parameter and the (m − n)-th minimum of Λ ⊥ (X). These bounds improve and the techniques build upon prior works of Agrawal, Gentry, Halevi and Sahai [Asiacrypt'13], and of Aggarwal and Regev [Chicago J. Theoret. Comput. Sci.'16].
Journal of Industrial Information Integration, 2019
This is a PDF file of an unedited manuscript that has been accepted for publication. As a service... more This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Highlights • A comprehensive review on state-of-the-art information visualisation methods and techniques Information Visualisation Methods and Techniques: State-of-the-art and Future Directions
Bladder cancer (Amsterdam, Netherlands), Jan 27, 2017
It is a critical unmet need to predict chemosensitivity in muscle-invasive bladder cancer patient... more It is a critical unmet need to predict chemosensitivity in muscle-invasive bladder cancer patients who receive neoadjuvant chemotherapy (NAC). Quantification of tumor heterogeneity has been shown to be useful in the assessment of therapeutic response. Apparent diffusion coefficient (ADC) is derived from diffusion weighted MRI (DWI) to quantify the water diffusivity which characterizes micro-cellularity in tumor tissues. The aim of this study is to assess if a quantitative measurement of ADC heterogeneity in bladder tumors can be a predictor of therapeutic response to NAC. Twenty patients with pT2 bladder cancer have been included in this study. Patient MRI was performed on a 3T system with DWI prior to NAC. Regions of interest (ROIs) were placed over the whole tumor volume on ADC maps to acquire a data matrix of voxel-wise ADC values for each patient. We performed histogram analysis on each ADC data matrix to calculate uniformity (U) and entropy (E). These quantities were subsequent...
To quantify the heterogeneity of the tumour apparent diffusion coefficient (ADC) using voxel-base... more To quantify the heterogeneity of the tumour apparent diffusion coefficient (ADC) using voxel-based analysis to differentiate malignancy from benign wall thickening of the urinary bladder. Nineteen patients with histopathological findings of their cystectomy specimen were included. A data set of voxel-based ADC values was acquired for each patient's lesion. Histogram analysis was performed on each data set to calculate uniformity (U) and entropy (E). The k-means clustering of the voxel-wised ADC data set was implemented to measure mean intra-cluster distance (MICD) and largest inter-cluster distance (LICD). Subsequently, U, E, MICD, and LICD for malignant tumours were compared with those for benign lesions using a two-sample t-test. Eleven patients had pathological confirmation of malignancy and eight with benign wall thickening. Histogram analysis showed that malignant tumours had a significantly higher degree of ADC heterogeneity with lower U (P = 0.016) and higher E (P = 0.005...
Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, 2016
We present the design and current prototype implementation of MelissAR, an augmented reality syst... more We present the design and current prototype implementation of MelissAR, an augmented reality system for visual analytics of honey bee behaviour in the field. The system is intended to support bee keepers and other relevant users to monitor honey bee populations and to make effective decisions based on their status. The implementation of MelissAR is based on informed design choices with regard to usability in the field, effective communication of relevant information, and robustness to varying outdoor conditions.
We report syntheses of new superconducting metal-doped MoSe2 materials (MxMoSe2). The superconduc... more We report syntheses of new superconducting metal-doped MoSe2 materials (MxMoSe2). The superconducting MxMoSe2 samples were prepared using a liquid NH3 technique, and can be represented as '(NH3)yMxMoSe2'. The Tcs of these materials were approximately 5.0 K, independent of x and the specific metal atom. X-ray diffraction patterns of (NH3)yNaxMoSe2 were recorded using polycrystalline powders. An increase in lattice constant c showed that the Na atom was intercalated between MoSe2 layers. The x-independence of c was observed in (NH3)yNaxMoSe2, indicating the formation of a stoichiometric compound in the entire x range, which is consistent with the x-independence of Tc. A metallic edge of the Fermi level was observed in the photoemission spectrum at 30 K, demonstrating its metallic character in the normal state. Doping of MoSe2 with Li and K also yielded superconductivity. Thus, MoSe2 is a promising material for designing new superconductors, as are other transition metal dichal...
Journal of magnetic resonance imaging : JMRI, Jan 9, 2015
To evaluate whether parallel radiofrequency transmission (mTX) can improve the symmetry of the le... more To evaluate whether parallel radiofrequency transmission (mTX) can improve the symmetry of the left and right femoral arteries in dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) of prostate and bladder cancer. Eighteen prostate and 24 bladder cancer patients underwent 3.0 Tesla DCE-MRI scan with a single transmission channel coil. Subsequently, 21 prostate and 21 bladder cancer patients were scanned using the dual channel mTX upgrade. The precontrast signal ( S0) and the maximum enhancement ratio (MER) were measured in both the left and the right femoral arteries. Within the patient cohort, the ratio of S0 and MER in the left artery to that in the right artery ( S0_LR, MER_LR) was calculated with and without the use of mTX. Left to right asymmetry indices for S0 ( S0_LRasym) and MER ( MER_LRasym) were defined as the absolute values of the difference between S0_LR and 1, and the difference between MER_LR and 1, respectively. S0_LRasym, and MER_LRasym were 0.21 and 0...
The pressure dependence of the superconducting transition temperature (Tc) and unit cell metrics ... more The pressure dependence of the superconducting transition temperature (Tc) and unit cell metrics of tetragonal (NH3)yCs0.4FeSe were investigated in high pressures up to 41 GPa. The Tc decreases with increasing pressure up to 13 GPa, which can be clearly correlated with the pressure dependence of c (or FeSe layer spacing). The Tc vs. c plot is compared with those of various (NH3)yMxFeSe (M: metal atoms) materials exhibiting different Tc and c, showing that the Tc is universally related to c. This behaviour means that a decrease in two-dimensionality lowers the Tc. No superconductivity was observed down to 4.3 K in (NH3)yCs0.4FeSe at 11 and 13 GPa. Surprisingly, superconductivity re-appeared rapidly above 13 GPa, with the Tc reaching 49 K at 21 GPa. The appearance of a new superconducting phase is not accompanied by a structural transition, as evidenced by pressure-dependent XRD. Furthermore, Tc slowly decreased with increasing pressure above 21 GPa, and at 41 GPa superconductivity di...
2018 IEEE International Symposium on Multimedia (ISM), 2018
Conventional practices for recording student attendance in a classroom, such as roll-call and sig... more Conventional practices for recording student attendance in a classroom, such as roll-call and sign-in-sheet, are proven to be inefficient in terms of time and staff-workload. In addition, they are also prone to human error and bogus attendance, which introduce inaccuracy in the recorded data. A number of studies have been conducted to improve the way we record class attendance. However, some of the proposed solutions are costly and impractical. Most solutions also fail to address bogus attendance. This paper presents a low cost solution in recording student attendance. Attendance is recorded on class photographs, students' faces are automatically located using a face detection technique, and students then registered their attendance by simply identifying their face on the records. Mobile applications were developed for both students and lecturers as the primary interfaces to interact with the system.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine - ISICDM 2019, 2019
Prostate cancer is the second highest incidence of cancer in men worldwide. Therefore, early dete... more Prostate cancer is the second highest incidence of cancer in men worldwide. Therefore, early detection of prostate cancer is of great clinical significance. In the past few decades, multi-parametric MRI has been increasingly used in the detection of prostate cancer. However, this requires the radiologists to have a higher degree of prostate MRI reading experiences, which may be greatly influenced by the subjective judgment. Our goal is to establish a prostate cancer tissue segmentation system based on multiparametric MRI to help doctors automatically define prostate cancer regions. We proposed a convolutional neural network architecture based on the U-net model for segmentation of prostate cancer tissue. The multiparametric MRI images of the pelvis are rescaled, merged together, and delivered into a convolutional neural network architecture for training. Test images of the pelvis were used to evaluate the capability of the trained CNN architecture. The results showed that the proposed algorithm can efficiently segment prostate cancer tissue with a high accuracy and can be applied to computer assisted prostate cancer diagnosis.
2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA), 2018
The rapid development in face detection study has been greatly supported by the availability of l... more The rapid development in face detection study has been greatly supported by the availability of large image datasets, which provide detailed annotations of faces on images. However, among a number of publicly accessible datasets, to our best knowledge, none of them are specifically created for academic applications. In this paper, we propose a systematic method in forming an image dataset tailored for classroom environment. We also made our dataset and its exploratory analyses publicly available. Studies in computer vision for academic application, such as an automated student attendance system, would benefit from our dataset.
2017 International Symposium on Big Data Visual Analytics (BDVA), 2017
Augmented Reality and Gamification are displaying beneficial effects to enhance user experience a... more Augmented Reality and Gamification are displaying beneficial effects to enhance user experience and performance in many domains. They are widespread across many areas like education, industrial training, marketing, and services. However, the idea of combining the two approaches for an innovative training instrument is fairly new, especially in assembly training. Moreover, learning about the effects of gamification on human, user engagement, in particular, is a complicated subject. There have been several efforts toward this direction, yet the overall situation is still nascent. In this work, we present a gamified augmented reality training for an industrial task and investigate user engagement effect while training with the gamified and the nongamified system. The result shows that people perform better and engage to a greater degree in the gamified design.
We present I-Flight, a virtual reality based visual analysis system for insect movement data. I-F... more We present I-Flight, a virtual reality based visual analysis system for insect movement data. I-Flight aids in understanding insect movements and collective flight behaviour in a simulated environment. Towards this end, I-Flight visualises insect flight paths in their natural, 3D geo-spatial context. In this paper, we demonstrate the use of I-Flight for honey bee flight data and related environmental variables. The system is designed to be extendible to other insect flight data by adopting the data attribute space and the respective mapping onto visual variables, such as colours. The value of the presented I-Flight system is not only in complementing existing scientific methods and tools for understanding honey bee behaviour, but also in raising broader awareness for honey bee preservation through an engaging, immersive environment.
Broadcast Encryption is a fundamental cryptographic primitive, that gives the ability to send a s... more Broadcast Encryption is a fundamental cryptographic primitive, that gives the ability to send a secure message to any chosen target set among registered users. In this work, we investigate broadcast encryption with anonymous revocation, in which ciphertexts do not reveal any information on which users have been revoked. We provide a scheme whose ciphertext size grows linearly with the number of revoked users. Moreover, our system also achieves traceability in the black-box confirmation model. Technically, our contribution is threefold. First, we develop a generic transformation of linear functional encryption toward trace-and-revoke systems for 1-bit message space. It is inspired from the transformation by Agrawal et al (CCS'17) with the novelty of achieving anonymity. Our second contribution is to instantiate the underlying linear functional encryptions from standard assumptions. We propose a DDH-based construction which does no longer require discrete logarithm evaluation during the decryption and thus significantly improves the performance compared to the DDH-based construction of Agrawal et al. In the LWE-based setting, we tried to instantiate our construction by relying on the scheme from Wang et al (PKC'19) only to find an attack on this scheme. Our third contribution is to extend the 1-bit encryption from the generic transformation to n-bit encryption. By introducing matrix multiplication functional encryption, which essentially performs a fixed number of parallel calls on functional encryptions with the same randomness, we can prove the security of the final scheme with a tight reduction that does not depend on n, in contrast to employing the hybrid argument.
Recent trends in Extended Reality technologies, including Virtual Reality and Mixed Reality, indi... more Recent trends in Extended Reality technologies, including Virtual Reality and Mixed Reality, indicate that the future infrastructure will be distributed and collaborative, where end-users as well as experts meet, communicate, learn, interact with each other, and coordinate their activities using a globally shared network and meditated environments. The integration of new display devices has largely changed how users interact with the system and how those activities, in turn, change their perception and experience. Although a considerable amount of research has already been done in the fields of computer-supported collaborative work, human-computer interaction, extended reality, cognitive psychology, perception, and social sciences, there is still no in-depth review to determine the current state of research on multiple-user-experience-centred design at the intersection of these domains. This paper aims to present an overview of research work on coexperience and analyses important aspects of human factors to be considered to enhance collaboration and user interaction in collaborative extended reality platforms, including: (i) presence-related factors, (ii) group dynamics and collaboration patterns, (iii) avatars and embodied agents, (iv) nonverbal communication, (v) group size, and (vi) awareness of physical and virtual world. Finally, this paper identifies research gaps and suggests key directions for future research considerations in this multidisciplinary research domain.
Objective: We analyzed the COVID-19 Open Research Dataset (CORD-19) to understand leading researc... more Objective: We analyzed the COVID-19 Open Research Dataset (CORD-19) to understand leading research institutions, collaborations among institutions, major publication venues, key research concepts, and topics covered by pandemic-related research.Methods: We conducted a descriptive analysis of authors’ institutions and relationships, automatic content extraction of key words and phrases from titles and abstracts, and topic modeling and evolution. Data visualization techniques were applied to present the results of the analysis.Results: We found that leading research institutions on COVID-19 included the Chinese Academy of Sciences, the US National Institutes of Health, and the University of California. Research studies mostly involved collaboration among different institutions at national and international levels. In addition to bioRxiv, major publication venues included journals such as The BMJ, PLOS One, Journal of Virology, and The Lancet. Key research concepts included the coronav...
2017 Ninth International Conference on Quality of Multimedia Experience (QoMEX), 2017
We performed a user study in which we investigated the user experience of HoloBee, a visual analy... more We performed a user study in which we investigated the user experience of HoloBee, a visual analytics system for the exploration of bee drift data. We compared two user interfaces, a head-mounted augmented reality (aR) interface and a desktop interface. We present here a correlation analysis of the user experience ratings that we collected in a questionnaire: intuitive, easy to use, comfortable, natural, and efficient. All criteria are strongly correlated with an interface preference rating. Efficient and comfortable are, respectively, found to be most and least strongly correlated with interface preference. Furthermore, while all rating criteria are highly correlated amongst themselves for the desktop interface, natural and intuitive are only marginally correlated for the AR interface indicating that natural user interfaces are not necessarily intuitive.
We analyze the acoustic-prosodic and lexical correlates of persuasiveness, taking into account sp... more We analyze the acoustic-prosodic and lexical correlates of persuasiveness, taking into account speaker, judge and debate characteristics in a novel data set of 674 audio profiles, transcripts, evaluation scores and demographic data from professional debate tournament speeches. By conducting 10-fold cross validation experiments with linear, LASSO and random forest regression, we predict how different feature combinations contribute toward speech scores (i.e. persuasiveness) between men and women. Overall, lexical features, i.e. word complexity, nouns, fillers and hedges, are the most predictive features of speech evaluation scores; in addition to the gender composition of judge panels and opponents. In a combined lexical and demographic feature model, we achieve an R 2 of 0.40. Different lexical features predict speech evaluation scores for male vs. female speakers, and further investigation is necessary to understand whether differential evaluation standards applied across genders. This work contributes a larger-scale debate data set in a democratically relevant, competitive format with high external relevance to persuasive speech education in other competitive settings.
BackgroundMyelin plasticity has emerged as a novel mechanism by which the nervous system can chan... more BackgroundMyelin plasticity has emerged as a novel mechanism by which the nervous system can change with experience, offering new potential for rehabilitation-induced recovery after neurotrauma. This first-in-human study investigated whether innovative, downhill locomotor rehabilitation promotes myelin plasticity in individuals with chronic, incomplete spinal cord injury (SCI).MethodsOf 20 individuals with SCI that enrolled, 4 passed the imaging screen and had myelin water imaging (MWI) before and after a 12-week (3 times/week) downhill locomotor treadmill training program (SCI+DH). One individual was excluded for imaging artifacts. Uninjured control participants (n=7) had two MWI sessions within the same day. Changes in myelin water fraction (MWF), a histopathologically-validated myelin biomarker, were analyzed in a priori motor learning and non-motor learning brain regions and the cervical spinal cord using statistical approaches appropriate for small sample sizes.ResultsWithin SC...
Let X ∈ Z n×m , with each entry independently and identically distributed from an integer Gaussia... more Let X ∈ Z n×m , with each entry independently and identically distributed from an integer Gaussian distribution. We consider the orthogonal lattice Λ ⊥ (X) of X, i.e., the set of vectors v ∈ Z m such that Xv = 0. In this work, we prove probabilistic upper bounds on the smoothing parameter and the (m − n)-th minimum of Λ ⊥ (X). These bounds improve and the techniques build upon prior works of Agrawal, Gentry, Halevi and Sahai [Asiacrypt'13], and of Aggarwal and Regev [Chicago J. Theoret. Comput. Sci.'16].
Journal of Industrial Information Integration, 2019
This is a PDF file of an unedited manuscript that has been accepted for publication. As a service... more This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Highlights • A comprehensive review on state-of-the-art information visualisation methods and techniques Information Visualisation Methods and Techniques: State-of-the-art and Future Directions
Bladder cancer (Amsterdam, Netherlands), Jan 27, 2017
It is a critical unmet need to predict chemosensitivity in muscle-invasive bladder cancer patient... more It is a critical unmet need to predict chemosensitivity in muscle-invasive bladder cancer patients who receive neoadjuvant chemotherapy (NAC). Quantification of tumor heterogeneity has been shown to be useful in the assessment of therapeutic response. Apparent diffusion coefficient (ADC) is derived from diffusion weighted MRI (DWI) to quantify the water diffusivity which characterizes micro-cellularity in tumor tissues. The aim of this study is to assess if a quantitative measurement of ADC heterogeneity in bladder tumors can be a predictor of therapeutic response to NAC. Twenty patients with pT2 bladder cancer have been included in this study. Patient MRI was performed on a 3T system with DWI prior to NAC. Regions of interest (ROIs) were placed over the whole tumor volume on ADC maps to acquire a data matrix of voxel-wise ADC values for each patient. We performed histogram analysis on each ADC data matrix to calculate uniformity (U) and entropy (E). These quantities were subsequent...
To quantify the heterogeneity of the tumour apparent diffusion coefficient (ADC) using voxel-base... more To quantify the heterogeneity of the tumour apparent diffusion coefficient (ADC) using voxel-based analysis to differentiate malignancy from benign wall thickening of the urinary bladder. Nineteen patients with histopathological findings of their cystectomy specimen were included. A data set of voxel-based ADC values was acquired for each patient's lesion. Histogram analysis was performed on each data set to calculate uniformity (U) and entropy (E). The k-means clustering of the voxel-wised ADC data set was implemented to measure mean intra-cluster distance (MICD) and largest inter-cluster distance (LICD). Subsequently, U, E, MICD, and LICD for malignant tumours were compared with those for benign lesions using a two-sample t-test. Eleven patients had pathological confirmation of malignancy and eight with benign wall thickening. Histogram analysis showed that malignant tumours had a significantly higher degree of ADC heterogeneity with lower U (P = 0.016) and higher E (P = 0.005...
Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, 2016
We present the design and current prototype implementation of MelissAR, an augmented reality syst... more We present the design and current prototype implementation of MelissAR, an augmented reality system for visual analytics of honey bee behaviour in the field. The system is intended to support bee keepers and other relevant users to monitor honey bee populations and to make effective decisions based on their status. The implementation of MelissAR is based on informed design choices with regard to usability in the field, effective communication of relevant information, and robustness to varying outdoor conditions.
We report syntheses of new superconducting metal-doped MoSe2 materials (MxMoSe2). The superconduc... more We report syntheses of new superconducting metal-doped MoSe2 materials (MxMoSe2). The superconducting MxMoSe2 samples were prepared using a liquid NH3 technique, and can be represented as '(NH3)yMxMoSe2'. The Tcs of these materials were approximately 5.0 K, independent of x and the specific metal atom. X-ray diffraction patterns of (NH3)yNaxMoSe2 were recorded using polycrystalline powders. An increase in lattice constant c showed that the Na atom was intercalated between MoSe2 layers. The x-independence of c was observed in (NH3)yNaxMoSe2, indicating the formation of a stoichiometric compound in the entire x range, which is consistent with the x-independence of Tc. A metallic edge of the Fermi level was observed in the photoemission spectrum at 30 K, demonstrating its metallic character in the normal state. Doping of MoSe2 with Li and K also yielded superconductivity. Thus, MoSe2 is a promising material for designing new superconductors, as are other transition metal dichal...
Journal of magnetic resonance imaging : JMRI, Jan 9, 2015
To evaluate whether parallel radiofrequency transmission (mTX) can improve the symmetry of the le... more To evaluate whether parallel radiofrequency transmission (mTX) can improve the symmetry of the left and right femoral arteries in dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) of prostate and bladder cancer. Eighteen prostate and 24 bladder cancer patients underwent 3.0 Tesla DCE-MRI scan with a single transmission channel coil. Subsequently, 21 prostate and 21 bladder cancer patients were scanned using the dual channel mTX upgrade. The precontrast signal ( S0) and the maximum enhancement ratio (MER) were measured in both the left and the right femoral arteries. Within the patient cohort, the ratio of S0 and MER in the left artery to that in the right artery ( S0_LR, MER_LR) was calculated with and without the use of mTX. Left to right asymmetry indices for S0 ( S0_LRasym) and MER ( MER_LRasym) were defined as the absolute values of the difference between S0_LR and 1, and the difference between MER_LR and 1, respectively. S0_LRasym, and MER_LRasym were 0.21 and 0...
The pressure dependence of the superconducting transition temperature (Tc) and unit cell metrics ... more The pressure dependence of the superconducting transition temperature (Tc) and unit cell metrics of tetragonal (NH3)yCs0.4FeSe were investigated in high pressures up to 41 GPa. The Tc decreases with increasing pressure up to 13 GPa, which can be clearly correlated with the pressure dependence of c (or FeSe layer spacing). The Tc vs. c plot is compared with those of various (NH3)yMxFeSe (M: metal atoms) materials exhibiting different Tc and c, showing that the Tc is universally related to c. This behaviour means that a decrease in two-dimensionality lowers the Tc. No superconductivity was observed down to 4.3 K in (NH3)yCs0.4FeSe at 11 and 13 GPa. Surprisingly, superconductivity re-appeared rapidly above 13 GPa, with the Tc reaching 49 K at 21 GPa. The appearance of a new superconducting phase is not accompanied by a structural transition, as evidenced by pressure-dependent XRD. Furthermore, Tc slowly decreased with increasing pressure above 21 GPa, and at 41 GPa superconductivity di...
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