Miracle-dz/UniFAR-FTUs huggingface dataset:
Linear Multibeam Transmitarray Based on the Sliding Aperture Technique

In the massive multiple-input multiple-output systems, the antennas should have the ability of beamforming. Under this requirement, the sliding aperture technique is adopted. In this paper, the principle of the sliding aperture technique is first demonstrated. This technique refers to the customization of each beam by part of the aperture, resulting in low scan loss over a wide angular range. Then, with the help of II-shaped transmit element, a linear multibeam transmitarray antenna based on the sliding aperture technique is designed. To the best of the authors’ knowledge, the linear transmitarray is reported for the first time. The fabricated prototype shows that the proposed antenna can generate eight beams simultaneously covering the ±42° azimuth area with low scan loss and the beam intersection level better than −4 dB. The proposed antenna has been simulated, fabricated, and measured, and the experimental results are in good agreement with the simulation results.
Concurrent Learning-Based Global Exponential Tracking Control of Uncertain Switched Systems With Mode-Dependent Average Dwell Time

This paper investigates the problem of global exponential tracking control for switched nonlinear systems with linear uncertain parameters and without persistency of excitation. A switched model reference adaptive control technique, using the mode-dependent average dwell time method and a concurrent learning approach, is proposed for the first time. A sufficient condition is provided to ensure that the dynamics of the state tracking error and the adaptive weight error converge to zero exponentially rapidly. Consequently, the relationship among the average dwell time of each subsystem, the concurrent learning algorithm, and the performance of uncertain switched systems is established. Furthermore, the transient performance bounds of the state tracking error and the adaptive weight error are studied. Finally, an illustrative numerical example is provided to demonstrate the effectiveness of the proposed method.
A Self-Powered Supply-Sensing Biosensor Platform Using Bio Fuel Cell and Low-Voltage, Low-Cost CMOS Supply-Controlled Ring Oscillator With Inductive-Coupling Transmitter for Healthcare IoT

This paper proposes a self-powered disposable supply-sensing biosensor platform for big-data-based healthcare applications. The proposed supply-sensing biosensor platform is based on bio fuel cells and a 0.23-V 0.25-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> zero-<inline-formula> <tex-math notation="LaTeX">$V_{\text {th}}$ </tex-math></inline-formula> all-digital CMOS supply-controlled ring oscillator with a current-driven pulse-interval-modulated inductive-coupling transmitter. The fully digital, and current-driven architecture uses zero-<inline-formula> <tex-math notation="LaTeX">$V_{\text {th}}$ </tex-math></inline-formula> transistors, which enables low voltage operation and a small footprint, even in a cost-competitive legacy CMOS. This enables converterless self-powered operation using a bio fuel cell, which is ideal for disposable healthcare applications. To verify the effectiveness of the proposed platform, a test chip was fabricated using 0.25-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> CMOS technology. The experimental results successfully demonstrate operation with a 0.23-V supply, which is the lowest supply voltage reported for proximity transmitters. A self-powered biosensing operation using organic bio fuel cells was also successfully demonstrated. In addition, an asynchronous inductive-coupling receiver and an off-chip inductor for performance improvement were successfully demonstrated.
Unsupervised Saliency Detection in 3-D-Video Based on Multiscale Segmentation and Refinement

In this letter, we propose an unsupervised salient object detection method in three-dimensional videos. Both temporal and depth information are efficiently considered, and multiscale architecture and graph-based refinement are built to improve accuracy and robustness. First, the input video frame is segmented into nonoverlapping superpixels by combining both appearance and depth information at the input. A multiscale architecture is also deployed after the segmentation with different segmentation parameters. Second, the initial saliency score of each segmented superpixel in each scale is calculated via global contrast, which is defined by appearance, depth, and motion cues from two consecutive frames. Third, the initial saliency in each scale is refined by smoothing over graphs built by three spatial–temporal feature priors—color, depth, and motion. Finally, the result is obtained by fusing three refined saliency maps in three scales. The experiments on two widely used datasets illustrate that our method outperforms state-of-the-art algorithms in terms of accuracy, robustness, and reliability.
Relational Factors Critical in the Link Between Childhood Emotional Abuse and Suicidal Ideation

Understanding the pathways leading to suicidal behavior is critical for the development and implementation of effective assessment efforts and suicide prevention programs in public health care systems. Childhood trauma, such as emotional abuse, is one robust risk factor, but only recently have efforts been made to determine mediators of the link between childhood emotional abuse and suicidal ideation. Given that adult survivors of childhood emotional abuse often have attachment difficulties and problems securing positive social support, these interpersonal factors may serve such a mediating role. Using bootstrapping techniques, this investigation tested attachment security and social-support-seeking behaviors as serial mediators of the association between childhood emotional abuse and suicidal ideation in a sample of 150 low-income African American female childhood emotional abuse survivors receiving services in a public health system. Support seeking from family members and friends were tested separately. Results revealed the presence of serial mediation, as predicted. Specifically, increased childhood emotional abuse was associated with decreased attachment security, which, in turn, was related to decreased social support seeking from family members and from friends. These 3 factors combined in sequence subsequently were associated with increased suicidal ideation. Results illuminate the importance of attending to attachment security and social-support-seeking behaviors when designing and implementing assessment and suicide prevention programs for African American women who are survivors of childhood emotional abuse seeking services in public health care systems. Suggestions for universal, selective, and targeted prevention efforts for this population are discussed.
Nitrogen Production by Efficiently Removing Oxygen From Air Using a Perovskite Hollow-Fiber Membrane With Porous Catalytic Layer

Nowadays, nitrogen is mainly produced from air by cryogenic separation, pressure-swing adsorption (PSA) and polymeric membrane technology. In this paper, we report a perovskite membrane-based nitrogen production route, which is basically driven by methane combustion. By coupling air separation with methane combustion on the opposite sides of oxygen-permeable perovskite membrane, most of oxygen in air is efficiently removed through the perovskite membrane and then consumed by methane oxidation. A nitrogen production rate of ca. 23 cm3 min−1 with purity of 98–99% was successfully achieved, and remained stable over 120 h, with a methane conversion of 71–73% on the other side of perovskite membrane. This work demonstrates that the joint use of oxygen-permeable perovskite membrane and methane oxidation is a promising strategy for nitrogen production and inspires more research efforts in the field of gas separation.
Epidemiology of Campylobacter, Salmonella and antimicrobial resistant Escherichia coli in free‐living Canada geese (Branta canadensis) from three sources in southern Ontario

Antimicrobial resistant bacteria and zoonotic pathogens have previously been isolated from Canada geese. We examined the prevalence of three enteric bacteria (i.e. Campylobacter, Salmonella, Escherichia coli) among Canada geese from three sampling sources in southern Ontario from 2013 through 2015. Samples were obtained by convenience from hunting groups, diagnostic birds submitted for post‐mortem, and fresh faeces from live birds in parks. Escherichia coli isolates were isolated and tested for susceptibility to 15 antimicrobials using the Canadian Integrated Program for Antimicrobial Resistance Surveillance test panel. The prevalences of Salmonella, Campylobacter and E. coli were 0%, 11.2% and 72.6%, respectively. Among E. coli isolates, 7.9% were resistant to ≥1 class of antimicrobials and 5.6% were resistant to ≥2 classes of antimicrobials, with some including resistance to antimicrobials of highest importance in human medicine. A significant association between season and E. coli resistance among samples from live birds was noted; summer samples had no resistant E. coli isolates, whereas spring samples demonstrated the highest prevalence of E. coli resistant to ≥1 class of antimicrobials (20.0%) among all sources. In addition, Campylobacter coli were only isolated from the spring faecal samples. Flock‐level clustering was an important statistical consideration, as flock was a significant random effect in all but two of our models. Detection of Campylobacter and antimicrobial resistant E. coli from Canada geese suggests that these birds may play a role in disseminating these organisms within the environment.
EEG-Based BCI Control Schemes for Lower-Limb Assistive-Robots

Over recent years, brain-computer interface (BCI) has emerged as an alternative communication system between the human brain and an output device. Deciphered intents, after detecting electrical signals from the human scalp, are translated into control commands used to operate external devices, computer displays and virtual objects in the real-time. BCI provides an augmentative communication by creating a muscle-free channel between the brain and the output devices, primarily for subjects having neuromotor disorders, or trauma to nervous system, notably spinal cord injuries (SCI), and subjects with unaffected sensorimotor functions but disarticulated or amputated residual limbs. This review identifies the potentials of electroencephalography (EEG) based BCI applications for locomotion and mobility rehabilitation. Patients could benefit from its advancements such as wearable lower-limb (LL) exoskeletons, orthosis, prosthesis, wheelchairs, and assistive-robot devices. The EEG communication signals employed by the aforementioned applications that also provide feasibility for future development in the field are sensorimotor rhythms (SMR), event-related potentials (ERP) and visual evoked potentials (VEP). The review is an effort to progress the development of user's mental task related to LL for BCI reliability and confidence measures. As a novel contribution, the reviewed BCI control paradigms for wearable LL and assistive-robots are presented by a general control framework fitting in hierarchical layers. It reflects informatic interactions, between the user, the BCI operator, the shared controller, the robotic device and the environment. Each sub layer of the BCI operator is discussed in detail, highlighting the feature extraction, classification and execution methods employed by the various systems. All applications' key features and their interaction with the environment are reviewed for the EEG-based activity mode recognition, and presented in form of a table. It is suggested to structure EEG-BCI controlled LL assistive devices within the presented framework, for future generation of intent-based multifunctional controllers. Despite the development of controllers, for BCI-based wearable or assistive devices that can seamlessly integrate user intent, practical challenges associated with such systems exist and have been discerned, which can be constructive for future developments in the field.
Stimulation and Detection of Android Repackaged Malware with Active Learning

Repackaging is a technique that has been increasingly adopted by authors of Android malware. The main problem facing the research community working on devising techniques to detect this breed of malware is the lack of ground truth that pinpoints the malicious segments grafted within benign apps. Without this crucial knowledge, it is difficult to train reliable classifiers able to effectively classify novel, out-of-sample repackaged malware. To circumvent this problem, we argue that reliable classifiers can be trained to detect repackaged malware, if they are allowed to request new, more accurate representations of an app's behavior. This learning technique is referred to as active learning. In this paper, we propose the usage of active learning to train classifiers able to cope with the ambiguous nature of repackaged malware. We implemented an architecture, Aion, that connects the processes of stimulating and detecting repackaged malware using a feedback loop depicting active learning. Our evaluation of a sample implementation of Aion using two malware datasets (Malgenome and Piggybacking) shows that active learning can outperform conventional detection techniques and, hence, has great potential to detect Android repackaged malware.
One size does not fit all: Links between shift-and-persist and asthma in youth are moderated by perceived social status and experience of unfair treatment

Abstract The links between low socioeconomic status and poor health are well established, yet despite adversity, some individuals with low socioeconomic status appear to avoid these negative consequences through adaptive coping. Previous research found a set of strategies, called shift-and-persist (shifting the self to stressors while persisting by finding meaning), to be particularly adaptive for individuals with low socioeconomic status, who typically face more uncontrollable stressors. This study tested (a) whether perceived social status, similar to objective socioeconomic status, would moderate the link between shift-and-persist and health, and (b) whether a specific uncontrollable stressor, unfair treatment, would similarly moderate the health correlates of shift-and-persist. A sample of 308 youth (Meanage = 13.0, range 8–17), physician diagnosed with asthma, completed measures of shift-and-persist, unfair treatment, asthma control, and quality of life in the lab, and 2 weeks of daily diaries about their asthma symptoms. Parents reported on perceived family social status. Results indicated that shift-and-persist was associated with better asthma profiles, only among youth from families with lower (vs. higher) parent-reported perceived social status. Shift-and-persist was also associated with better asthma profiles, only among youth who experienced more (vs. less) unfair treatment. These findings suggest that the adaptive values of coping strategies for youth with asthma depend on the family's perceived social status and on the stressor experienced.
The United States Health Care System is Sick: From Adam Smith to Overspecialization

The United States (US) health care system is sick. High cost affects the nation and the people. The poor outcomes mainly impact the patients. If we do not fix it, the system will implode because of the unsustainable economic burden. The choice to shape the health care system on the “pin factory” model described by Adam Smith is the cause of the failure. The key players in the health care system are accordingly molded. Many factors tightly intertwined need to be addressed. Medical education, the role of family doctor, the overspecialization and, not least, the translation of discoveries into clinical practice are among them. The failure of the US health care system is a complex and multi-factorial issue which requires a global approach.
Marital Status as a Partial Mediator of the Associations Between Young Adult Substance Use and Subsequent Substance Use Disorder: Application of Causal Inference Methods.

OBJECTIVE Young adult substance use is linked with the risk of substance use disorders (SUDs) later in adulthood. Marriage may be part of this pathway because of both selection effects (early substance use reducing marriage) and socialization effects (marriage reducing later substance use and disorder). We examine whether marital status mediates the association between young adult substance use and subsequent SUDs, using causal mediation methods to strengthen inferences. METHOD Using panel data from high school seniors in 1990-1998, we examined whether the effects of two exposures (level of alcohol/marijuana use at age 19/20) on the outcomes (alcohol use disorder [AUD]/ marijuana use disorder [MUD], nondisordered use, or abstinence at age 35) were mediated by marital status at age 29/30. Propensity score weights adjusted for potential confounding regarding both the exposures and the mediator. RESULTS Moderate and heavy alcohol/marijuana use at age 19/20 were associated with higher odds of AUD/MUD and lower odds of abstinence, each relative to nondisordered use, at age 35. The association between heavy alcohol use at age 19/20 and subsequent AUD was partially mediated by being unmarried at age 29/30; the associations between moderate and heavy marijuana use at age 19/20 and subsequent marijuana abstinence were partially mediated by being unmarried at age 29/30. CONCLUSIONS Both selection and socialization effects related to marriage explain the perpetuation of substance use behaviors across adulthood. Selection effects on marriage seem to occur at different thresholds for young adult alcohol and marijuana use.
Journal of Reproduction and Development

We aimed to test whether the calmodulin (CaM) inhibitors, calmidazolium (CZ) and N-(6-aminohexyl)-5-chloro1-naphthalenesulfonamide (W-7), can be used to assess lipid disorder by flow cytometry using Merocyanine 540 (M540). Boar spermatozoa were incubated in non-capacitating conditions for 10 min at room temperature with 1 μM CZ, 200 μM W-7, or 1 mM 8-bromoadenosine 3′,5′-cyclic monophosphate (8-Br-cAMP). Then, sperm were 1) directly evaluated, 2) centrifuged and washed prior to evaluation, or 3) diluted with PBS prior to evaluation. Direct evaluation showed an increase in high M540 fluorescence in spermatozoa treated with the inhibitors (4.7 ± 1.8 [control] vs. 70.4 ± 4.0 [CZ] and 71.4 ± 4.2 [W-7], mean % ± SD, P < 0.001); washing decreased the percentage of sperm showing high M540 fluorescence for W-7 (4.8 ± 2.2, mean % ± SD) but not for CZ (69.4 ± 3.9, mean % ± SD, P < 0.001), and dilution showed an increase in high M540 fluorescence for both CZ and W-7; 8-Br-cAMP did not induce a rise in sperm showing high M540 fluorescence. Therefore, special care must be taken when M540 is used in spermatozoa with CaM inhibitors.
Recurrent hypoglycemia inhibits the counterregulatory response by suppressing adrenal activity

Hypoglycemia activates the counterregulatory response (CRR), a neural-endocrine reflex that restores euglycemia. Although effective if occasionally activated, repeated induction of the CRR leads to a decline in responsiveness and prolonged exposure to hypoglycemia. The mechanism underlying this impairment is not known. We found that the reduction in epinephrine release that characterizes a suppressed CRR involves a long-lasting form of sympatho-adrenal synaptic plasticity. Using optogenetically evoked catecholamine release, we show that recurrent hypoglycemia reduced the secretory capacity of mouse adrenal chromaffin cells. Single activation of the CRR increased the adrenal levels of tyrosine hydroxylase (TH), the rate-limiting enzyme for catecholamine synthesis, but this was prevented by repeated activation. In contrast, the level of neuropeptide Y (NPY), an adrenal cotransmitter, remained elevated after recurrent hypoglycemia. Inhibition of NPY or Y1 signaling, either transgenically or pharmacologically, prevented the attenuation of both TH expression and epinephrine release. These results indicate that impairment of the CRR involves suppressed activity at the adrenal level. Interfering with the peripheral NPY–dependent negative feedback loop may provide a way to avoid the pathophysiological consequences of recurrent hypoglycemia which are common in the diabetic state.
Tri-Phasing Modulation for Efficient and Wideband Radio Transmitters

In this paper, we show that amplitude transitions that are inherent to the multilevel outphasing radio transmitter architecture distort the transmitted signal due to time-domain discontinuities. In order to address this challenge, we propose a new transmitter architecture called tri-phasing which avoids discontinuities in signal waveforms and thus achieves significantly better linearity than multilevel outphasing. The output waveform in tri-phasing can be made continuous by representing the baseband signal with three components. One of the three components is amplified by discrete amplitude steps, whereas the other two are used to compensate the instantaneous shift in the output waveform due to the discrete amplitude step and to provide fine amplitude resolution. An implementation of the tri-phasing transmitter requires three phase modulators and additional digital signal processing. The system-level simulations performed in this paper demonstrate that the ACLR of a multilevel outphasing transmitter with 4 amplitude levels and 10-bit phase resolution is limited to −48 dBc, when simulated with a 100 MHz carrier-aggregated LTE downlink signal at 2.46 GHz carrier frequency. The proposed tri-phasing transmitter achieves −58 dBc ACLR with the same simulation parameters, indicating that continuous amplitude transitions can significantly improve the transmitter linearity.
Single-Crystal Pt-Decorated WO3 Ultrathin Films: A Platform for Sub-ppm Hydrogen Sensing at Room Temperature

Hydrogen-related technologies are rapidly developing, driven by the necessity of efficient and high-density energy storage. This poses new challenges to the detection of dangerous gases, in particular the realization of cheap, sensitive, and fast hydrogen sensors. Several materials are being studied for this application, but most present critical bottlenecks, such as high operational temperature, low sensitivity, slow response time, and/or complex fabrication procedures. Here, we demonstrate that WO3 in the form of single-crystal, ultrathin films with a Pt catalyst allows high-performance sensing of H2 gas at room temperature. Thanks to the high electrical resistance in the pristine state, this material is able to detect hydrogen concentrations down to 1 ppm near room temperature. Moreover, the high surface-to-volume ratio of WO3 ultrathin films determines fast sensor response and recovery, with characteristic times as low as 1 s when the concentration exceeds 100 ppm. By modeling the hydrogen (de)intercalation dynamics with a kinetic model, we extract the energy barriers of the relevant processes and relate the doping mechanism to the formation of oxygen vacancies. Our results reveal the potential of single-crystal WO3 ultrathin films toward the development of sub-ppm hydrogen detectors working at room temperature.