Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning

Adversarial examples derived from deliberately crafted perturbations on visual inputs can easily harm decision process of deep neural networks. To prevent potential threats, various adversarial training-based defense methods have grown rapidly and become a de facto standard approach for robustness. Despite recent competitive achievements, we observe that adversarial vulnerability varies across targets and certain vulnerabilities remain prevalent. Intriguingly, such peculiar phenomenon cannot be relieved even with deeper architectures and advanced defense methods. To address this issue, in this paper, we introduce a causal approach called Adversarial Double Machine Learning (ADML), which allows us to quantify the degree of adversarial vulnerability for network predictions and capture the effect of treatments on outcome of interests. ADML can directly estimate causal parameter of adversarial perturbations per se and mitigate negative effects that can potentially damage robustness, bridging a causal perspective into the adversarial vulnerability. Through extensive experiments on various CNN and Transformer architectures, we corroborate that ADML improves adversarial robustness with large margins and relieve the empirical observation.Comment: Accepted in ICCV 202

Night Eating Syndrome and Its Association with Sleep Quality and Body Mass Index Among University Students During the Covid-19

Night eating syndrome (NES) is a disordered eating behaviour characterized by hyperphagia at night and is often accompanied by a sleep disturbance. This study aims to determine the prevalence of NES and its association between sleep quality and body mass index (BMI) among the private university students during the Covid-19. A total of 166 students from a private university participated in this cross-sectional study. Online self-administered questionnaires were used to collect and determine socio-demographic data, BMI, NES, and sleep quality. NES was assessed using Night Eating Diagnostic Questionnaire (NEDQ) while sleep quality was assessed using Pittsburgh Sleep Quality Index Questionnaire (PSQI). The results showed that 38.6% of the participants were engaging with NES, 45.2% were having poor sleep quality and 25.9% were overweight or obese during the Covid-19. There were significant associations between NES with sleep quality and BMI, which students with NES were found to have poorer sleep quality (r=0.306, p<0.001) and higher BMI (r=0.024, p=0.763). In addition, poor sleep quality was found to be positively associated with BMI (r=0.161, p=0.038). Males (AOR=2.198, 95% CI=1.005-4.808) and poor sleepers (AOR=1.176, 95% CI=1.028-1.346) were the risk factors of NES. In conclusion, the prevalence of NES, poor sleep quality, and overweight and obesity were at an alarming rate. NES was found to be related to both poorer sleep quality and higher BMI among the students. Therefore, interventions such as behavioural and cognitive therapy should be implemented to promote healthy eating behaviour among university students

EFFECTS OF FOOT PLANTING POSITIONS ON KNEE JOINT IN DROP LANDING

The purpose of this study was to investigate the effect of three different foot placement positions at the moment of foot-ground contact on the knee joint kinematics and kinetics in drop landing in an attempt to estimate the risk of non-contact anterior cruciate ligament (ACL) injury. Three foot placement positions were toe-in (TI), neutral (N), and toe-out (TO) positions according to the heading direction of toes relative to femur. Seventeen college students participated in this study and motion capturing system with forceplatforms was used to assess the drop landings. Toe-in (TI) position should be avoided due to the highest combined loading of valgus and internal rotation. The neutral foot landing position is recommended to minimize the risk of non-contact ACL injury

Field-induced Bose-Einstein condensation and supersolid in the two-dimensional Kondo necklace

The application of an external magnetic field of sufficient strength to a spin system composed of a localized singlet can overcome the energy gap and trigger bosonic condensation and so provide an alternative method to realize exotic phases of matter in real materials. Previous research has indicated that a spin Hamiltonian with on-site Kondo coupling may be the effective many-body Hamiltonian for $\text{Ba}_2\text{NiO}_2\text{(AgSe)}_2$ (BNOAS) and here we study such a Hamiltonian using a tensor network ansatz in two dimensions. Our results unveil a phase diagram which indicates the underlying phases of BNOAS. We propose, in response to the possible doping-induced superconductivity of BNOAS, a fermionic model for further investigation. We hope that our discovery can bring up further interest in both theoretical and experimental researches for related nickelate compounds.Comment: 11 pages, 6 figures, 2 table

Controlled release of human growth hormone fused with a human hybrid Fc fragment through a nanoporous polymer membrane

Nanotechnology has been applied to the development of more effective and compatible drug delivery systems for therapeutic proteins. Human growth hormone (hGH) was fused with a hybrid Fc fragment containing partial Fc domains of human IgD and IgG(4) to produce a long-acting fusion protein. The fusion protein, hGH-hyFc, resulted in the increase of the hydrodynamic diameter (ca. 11 nm) compared with the diameter (ca. 5 nm) of the recombinant hGH. A diblock copolymer membrane with nanopores (average diameter of 14.3 nm) exhibited a constant release rate of hGH-hyFc. The hGH-hyFc protein released in a controlled manner for one month was found to trigger the phosphorylation of Janus kinase 2 (JAK2) in human B lymphocyte and to exhibit an almost identical circular dichroism spectrum to that of the original hGH-hyFc, suggesting that the released fusion protein should maintain the functional and structural integrity of hGH. Thus, the nanoporous release device could be a potential delivery system for the long-term controlled release of therapeutic proteins fused with the hybrid Fc fragment.X111313sciescopu

Observation of First-Order Metal-Insulator Transition without Structural Phase Transition in VO_2

An abrupt first-order metal-insulator transition (MIT) without structural phase transition is first observed by current-voltage measurements and micro-Raman scattering experiments, when a DC electric field is applied to a Mott insulator VO_2 based two-terminal device. An abrupt current jump is measured at a critical electric field. The Raman-shift frequency and the bandwidth of the most predominant Raman-active A_g mode, excited by the electric field, do not change through the abrupt MIT, while, they, excited by temperature, pronouncedly soften and damp (structural MIT), respectively. This structural MIT is found to occur secondarily.Comment: 4 pages, 4 figure