Miracle-dz/UniFAR-FTUs huggingface dataset:
Toward Controlled Islanding for Enhancing Power Grid Resilience Considering Frequency Stability Constraints

This paper develops a controlled network partitioning model to improve power grid resilience under catastrophic events. The proposed remedial scheme relies on a mixed integer linear programming formulation which aims at minimizing the overall load shedding. The main original salient feature of the model is the inclusion of frequency stability constraints, derived using linearized swing equations, in each resulted island after partitioning process. These discretized system frequency constraints further consider the contribution of primary reserve by governor-equipped generators. Another important original feature of the model is the use of linearized real/reactive power flow equations to satisfy the power balance of each island. According to the slow coherency concept, a linear formulation is utilized to locate the coherent generators in the same island. The efficiency and accuracy of the proposed approach has been demonstrated and validated by dynamic simulation using the IEEE 118-bus test system.
Real-Time Wide-Baseline Place Recognition Using Depth Completion

Place recognition is an essential capability for robotic autonomy. While ground robots observe the world from generally similar viewpoints over repeated visits, other robots, such as small aircraft, experience far more different viewpoints, requiring place recognition for images captured from very wide baselines. While traditional feature-based methods fail dramatically under extreme viewpoint changes, deep learning approaches demand heavy runtime processing. Driven by the need for cheaper alternatives able to run on computationally restricted platforms, such as small aircraft, this letter proposes a novel real-time pipeline employing depth-completion on sparse feature maps that are anyway computed during robot localization and mapping, to enable place recognition at extreme viewpoint changes. The proposed approach demonstrates unprecedented precision-recall rates on challenging benchmarking and own synthetic and real datasets with up to $45^\circ$ difference in viewpoints. In particular, our synthetic datasets are, to the best of our knowledge, the first to isolate the challenge of viewpoint changes for place recognition, addressing a crucial gap in the literature. All of the new datasets are publicly available to aid benchmarking.
Baseline Pupil Diameter Is Not a Reliable Biomarker of Subjective Sleepiness

Sleepiness is commonly seen as reflecting the basic physiological need to sleep and is associated with physiological and neurobiological changes. Subjective evaluations of sleepiness, however, are neither representative of cognitive and physical performances, nor of physiological sleepiness. Finding a simple, rapid, and objective marker of sleepiness is essential in order to prevent errors and accidents, but this has remained largely unsuccessful. The aim of this study was to determine whether the baseline pupil diameter is a physiological biomarker of sleepiness at all times of day and to isolate the regulatory components involved. Twelve healthy men (20–29 years old) participated in a 56-h experimental protocol, including a 34-h constant routine paradigm with enforced wakefulness. This protocol was used in order to eliminate the potential influence of all environmental rhythms and reveal the endogenous circadian rhythmicity of two physiological measures: sleepiness and pupil diameter. Sleepiness was assessed subjectively every hour on a computerized 10 cm visual analog scale and pupil size was recorded every 2 h with a hand-held video-pupilometer. Our results revealed that subjective sleepiness increased linearly with time awake and displayed a circadian rhythm. Baseline pupil diameter showed a linear decrease with time spent awake as well as a circadian 24-h rhythm. This is the first evidence of a circadian variation of the baseline pupil size in a highly-controlled constant routine paradigm conducted in very dim light conditions. An overall negative correlation between the size of the pupil and the subjective level of sleepiness was observed. Analyzing the contribution of the two sleep regulation components in this correlation, we further showed: (1) a negative correlation between the homeostatic sleep pressure components, (2) a negative correlation between the circadian drives only during half of the 24 hours, corresponding to 62% of the biological day and 25% of the biological night. These results highlight that, due to the dual regulation of sleepiness by the homeostatic and circadian processes, baseline pupil diameter is an index of sleepiness only at certain times and therefore cannot be used as a systematic and reliable biomarker of sleepiness.
Context Dependence Signature, Stimulus Properties and Stimulus Probability as Predictors of ERP Amplitude Variability

Typically, in an oddball paradigm with two experimental conditions, the longer the time between novels the greater P3a amplitude. Here the research question is: Does an oddball paradigm maintain the greater P3a amplitude under several experimental conditions? An EEG study was carried out with an oddball number parity decision task having four conditions in control and schizophrenic participants. Contrary to previous findings (Gonsalvez and Polich, 2002; Polich, 2007) in control participants, non-correlation was found between the time of a novel (N) stimulus condition to the next novel condition and P3a amplitude. Moreover, with an innovative method for stimulus properties extraction features and EEG analysis, single trial across-subject averaging of participants’ data revealed significant correlations (r > 0.3) of stimulus properties (such as probability, frequency, amplitude, and duration) on P300, and even r > 0.5 was found when N was an environmental sound in schizophrenic patients. Therefore, stimulus properties are strong markers of some of the features in the P3a wave. Finally, a context analysis of ERP waves across electrodes revealed a consistent modulation in novel appearance for MisMatch Negativity in schizophrenia. A supplementary analysis running linear modeling (LIMO) in EEG was also provided (see Supplementary Material). Therefore, in a multiple condition task: stimulus properties and their temporal properties are strong markers of some of the features in the P300 wave. An interpretation was done based on differences between controls and schizophrenics relate to differences in the operation of implicit memory for stimulus properties and stronger correlations were observed within groups related contextual and episodic processes.
Defected Graphene as Ammonia Sensor: Theoretical Insight

Defects are often symbolized as deformity in material that deteriorate its performance. However, in nanoscale regime, defects lead to generate a useful and novel material for device applications. In the present report, the vacancy defects, i.e., single vacancy and double vacancy defects (with different symmetry) on graphene sheet have been analyzed to understand the electronic as well as transport properties using density functional theory and NEGF approach. Conductance, current–voltage, and sensitivity analysis of these defected graphene sheets have been examined for its suitability for gas sensing application particularly for ammonia gas. The study observes that a single vacancy defected graphene is a good candidate for ammonia molecule sensing in comparison to double vacancy.
Low-Dose Total Body Irradiation Can Enhance Systemic Immune Related Response Induced by Hypo-Fractionated Radiation

A systemic immune related response (SIME) of radiotherapy has been occasionally observed on metastatic tumors, but the clinical outcomes remain poor. Novel treatment approaches are therefore needed to improve SIME ratio. We used a combination of hypo-fractionated radiation therapy (H-RT) with low-dose total body irradiation (L-TBI) in a syngeneic mouse model of breast and colon carcinoma. The combination therapy of H-RT and L-TBI potentially enhanced SIME by infiltration of CD8+ T cell and altering the immunosuppressive microenvironment in non-irradiated subcutaneous tumor lesions. The frequency of IFN-γ, as a tumor-specific CD8+ T cells producing, significantly inhibited the secondary tumor growth of breast and colon. Our findings suggest that L-TBI could serve as a potential therapeutic agent for metastatic breast and colon cancer and, together with H-RT, their therapeutic potential is enhanced significantly.
Long-Term Analysis of Elite Basketball Players’ Game-Related Statistics Throughout Their Careers

The aim of the present study was to analyze the changes of game-related statistics in expert players across their whole sports careers. From an initial sample including 252 professional basketball players competing in Spanish first division basketball league (ACB) in the 2017–2018 season, 22 met the inclusion criteria. The following game-related statistics were studied: average points, assist, rebounds (all normalized by minute played), 3-point field goals percentage, 2-point field goals percentage, and free throws percentage per season. Each variable was individually investigated with a customized excel spreadsheet assessing individual variations and career trends were calculated. The results showed a positive trend in most of the investigated players in assists (91% of cases) and free throw percentages (73% of cases). Similar percentages of positive and negative trends were observed for all the other game-related statistics (range: 41–59% for negative and positive, respectively). In conclusion, an increase in assist and free throw performance was shown in the investigated players across their playing career. This information is essential for basketball coaches suggesting the use of most experienced players in the final moments of the game.
1.6 Tb/s Virtual-Carrier Assisted WDM Direct Detection Transmission Over 1200 km

Single-sideband (SSB) self-coherent detection (SCD) has attracted a lot of attention recently as a promising technology for short and medium reach optical transmission systems, such as data center interconnect (DCI) and metro applications, due to the low cost, the compact module size, and the possibility of electrical dispersion compensation. In addition, it has been shown that the SSB SCD can be effectively realized using a “virtual carrier,” which is generated digitally together with the information-bearing signal to significantly simplify the hardware implementation. In this paper, we present an experimental demonstration of an 8 × 256 Gb/s WDM SSB SCD transmission with virtual carriers over a record distance of 1200 km with Corning TXF fiber. To achieve this performance, two digital linearization techniques have been considered and compared, namely the Kramers–Kronig (KK) field reconstruction and iterative signal-signal beat interference cancellation. Furthermore, we introduce a novel scheme called dc-offset KK to minimize the performance penalty associated with filtering and resampling process of the conventional KK scheme.
Novel Stabilization Criteria for T–S Fuzzy Systems With Affine Matched Membership Functions

This paper presents a new parallel distributed compensation controller design approach for T–S (Takagi–Sugeno) fuzzy control systems with affine matched membership functions in the system and controller. In the new fuzzy control, affine transformed membership functions are adopted by scaling and biasing the original membership functions of the system. Stabilization and performance criterion of the closed-loop T–S fuzzy systems are obtained through a new parameterized linear matrix inequality, which is rearranged by affine matched membership functions. The conservativeness of stabilization condition for the T–S fuzzy system is significantly relaxed by utilizing the constraints condition of the controllers membership functions, which is determined from the difference of each transformed membership function. In addition, the controller gain is reconstructed by a decision variable separation technique with two different free weighting matrices without any scaling parameter. The superiority of proposed method is verified through numerical examples.
Clinical Trials Focusing on Drug Control and Prevention of Ventilator-Associated Pneumonia: A Comprehensive Analysis of Trials Registered on ClinicalTrials.gov

Objective: Clinical trials have emerged as the main force in driving the development of medicine. However, little is known about the current status of clinical trials regarding drug control and prevention of ventilator-associated pneumonia (VAP). This study aimed at providing a comprehensive landscape of these trials on the basis of ClinicalTrials.gov. Methods: A cross-sectional, descriptive study of clinical trials on drug control and prevention of VAP which have been registered on the ClinicalTrials.gov up to 25th August 2018 was conducted. Results: A total of 109 eligible trials were identified. Trials were started from 1998 to 2018, and most trials focused on adult patients. More than half trials were completed, while only 11.9% trials had results available. Sample sizes were relatively large, with a median enrollment of 146. Universities were listed as the primary sponsor for 36.7% trials, industry for 28.4% trials and hospitals for 19.3% trials. Of the 109 VAP trials, 37 trials were from in Europe, 36 in North America and 27 in Asia. Among the 97 interventional trials, 32 were phase 3 trials, 21 were phase 4 trials, and 16 were phase 2 trials. Most interventional trials were randomized trials with a parallel assignment, and 57.7% trials were blinded. Of the 12 observational trials, 9 were cohort studies, and 10 trials were prosepctive studies. Drugs about oral care, preemptive antibiotics and probiotics were most investigated for prevention. A total of 61 trials investigated drugs for the treatment of VAP, mainly focused on antibiotics. A total of 36 kinds of antibiotics were investigated for monotherapy or combination therapy. Beta-lactams were most studied, followed by aminoglycosides and polypeptides. Conclusion: Most clinical trials registered on ClinicalTrials.gov about drugs for VAP were interventional trials with the purpose for treatment. A high proportion of interventional trials were randomized, parallel assigned and masked. Our analysis highlights the need for improvement in completeness of study results on the ClinicalTrials.gov.
Explicit Stress Communication Facilitates Perceived Responsiveness in Dyadic Coping

The present study was aimed at examining the role of explicit stress communication in the context of dyadic coping. The general aim of the present study was to test (a) whether explicit communication of daily stressful events predicted relationship satisfaction and (b) whether the perception of responsiveness in dyadic coping mediated the association between explicit stress communication and partners’ satisfaction. We analyzed daily diary data from 55 married couples and multilevel analyses suggested that, although explicit stress communication was not associated with relationship satisfaction, it predicted both partners’ responsiveness in dyadic coping behaviors. Finally, responsive dyadic coping behaviors mediated the relationship between explicit stress communication and relationship satisfaction. On the whole, our findings showed that perceived responsiveness in dyadic coping with daily stressors was facilitated by explicit stress communication and that this contributed to the effectiveness of dyadic coping behaviors in fostering partners’ relationship satisfaction. We discussed how the current study contributes to the understanding of the dyadic coping process and its contribution to partners’ satisfaction, underscoring the importance of communication skills.
On the metallicity dependence of high-mass X-ray binaries

It is commonly assumed that high-mass X-ray binary (HMXB) populations are little affected by metallicity. However, the massive stars making up their progenitor systems depend on metallicity in a number of ways, not least through their winds. We present simulations, well-matched to the observed sample of Galactic HMXBs, which demonstrate that both the number and the mean period of HMXB progenitors can vary with metallicity, with the number increasing by about a factor of 3 between solar and Small Magellanic Cloud (SMC) metallicity. However, the SMC population itself cannot be explained simply by metallicity effects; it requires both that the HMXBs observed therein primarily sample the older end of the HMXB population and that the star formation rate at the time of their formation was very large.
Citizenship Pressure as a Predictor of Daily Enactment of Autonomous and Controlled Organizational Citizenship Behavior: Differential Spillover Effects on the Home Domain

This study questions the exclusive discretionary nature of organizational citizenship behavior (OCB) by differentiating between autonomous OCB (performed spontaneously) and controlled OCB (performed in response to a request from others). We examined whether citizenship pressure evokes the performance of autonomous and controlled OCB, and whether both OCB types have different effects on employees’ experience of work-home conflict and work-home enrichment at the within- and between-person level of analysis. A total of 87 employees completed two questionnaires per day during ten consecutive workdays (715 observations). The results of the multilevel path analyses revealed a positive relationship between citizenship pressure and controlled OCB. At the within-person level, engaging in autonomous OCB resulted in an increase of experienced work-home conflict and work-home enrichment. At the between-person level, enactment of autonomous OCB predicted an increase in experienced work-home enrichment, whereas engaging in controlled OCB resulted in increased work-home conflict. The divergent spillover effects of autonomous and controlled OCB on the home domain provide empirical support for the autonomous versus controlled OCB differentiation. The time-dependent results open up areas for future research.
False Data Injection Attacks Induced Sequential Outages in Power Systems

Cyber-attack is recognized as an emerging risk in smart grids. In this paper, we reveal a potential link between data attack and physical consequences and analyzed how the attacker can launch a malicious data attack to trigger sequential outages and thus impose large damages to the grid. In this attack mechanism, the attacker constructs an optimal false data injection attack to intentionally trigger a targeted branch outage sequence that trips multiple branches and then leads to subsequent failures. The studied attack mechanism integrates constructing an optimal data attack and identifying critical lines, and imposes a substantial security impact with a high chance of occurring. Simulations on the IEEE 118-bus system verify that the introduced attack mechanism and highlight the risk of such attacks in today's smart grids.
A Dual-Input High Step-Up DC/DC Converter With ZVT Auxiliary Circuit

A dual-input high step-up DC/DC converter with zero voltage turn-off (ZVT) auxiliary circuit is presented in this paper. The cost of whole photovoltaic (PV) power could be decreased significantly by the proposed converter because it allows two PV panels to be connected at the same time. ZVT auxiliary circuit provides soft switching in a wide range of load variations with six passive components. Turn-off switching losses could be decreased and the efficiency of the whole converter could be improved. In <xref ref-type="sec" rid="sec2">Section II</xref>, the operation principle and performance characteristics of the proposed converter have been analyzed and an 800 W experimental prototype has been built to validate the analytical results in <xref ref-type="sec" rid="sec3">Section III</xref>. In <xref ref-type="sec" rid="sec4">Section IV</xref>, a dual-input maximum power point tracking (DMPPT) control algorithm has been designed for the proposed converter. Experimental results show that two PV panels can achieve the maximum power output state separately by the proposed DMPPT control algorithm.
Nonlinear Performance of Few-Mode Fiber Links With Intermediate Coupling

This paper reviews and extends the study of nonlinear performance of few-mode fiber links operating in all different linear coupling regimes for different mode delay maps. Nonlinear performance was estimated using the four-wave-mixing theory and the split-step Fourier method including semi-analytical solutions for linear mode coupling of arbitrary strength. The optimum link configurations minimizing the nonlinear penalty at practical levels of training sequence length are presented, including the required coupling strength to give nonlinear distortion below that of the single-mode propagation without mode coupling, and the impact of mode delay maps. Finally, different approximate solution methods of the multimode nonlinear Schrödinger equation are compared, highlighting the accuracy of a stochastic solution method including distributed linear mode coupling.
MRI Markers for Early Assessment of Bladder Cancer: A Review

Bladder cancer (BC) is the seventh most prevalent cancer in the United States. Accurate detection and diagnosis of BC helps clinicians to select appropriate treatment and thus increase patients’ survival rate. Multiple factors affect accurate diagnosis, including cancer staging and grading, lymph node involvement, and metastasis. The use of medical imaging techniques has been widely explored to help clinicians/physicians to more accurately localize and diagnose BC. Particularly, magnetic resonance imaging (MRI) has been recently found to play a crucial role in BC diagnosis and staging. This paper provides an overview of recent MRI studies for BC detection and diagnosis. Namely, the paper discusses recent MRI studies for BC diagnosis and staging using different MRI-derived markers (e.g. wash-in and wash-out rates, apparent diffusion coefficient(ADC)). Challenges and limitations of recent literature works and recommendation for future research paths will also be discussed.
Non-invasive Eye Tracking Methods for New World and Old World Monkeys

Eye-tracking methods measure what humans and other animals visually attend to in the environment. In nonhuman primates, eye tracking can be used to test hypotheses about how primates process social information. This information can further our understanding of primate behavior as well as offer unique translational potential to explore causes of or treatments for altered social processing as seen in people with neurodevelopmental disorders such as autism spectrum disorder and schizophrenia. However, previous methods for collecting eye-tracking data in nonhuman primates required some form of head restraint, which limits the opportunities for research with respect to the number of or kinds of primates that can undergo an eye-tracking study. We developed a novel, noninvasive method for collecting eye tracking data that can be used both in animals that are difficult to restrain without sedation as well as animals that are of different ages and sizes as the box size can be adjusted. Using a transport box modified with a viewing window, we collected eye-tracking data in both New (Callicebus cupreus) and Old World monkeys (Macaca mulatta) across multiple developmental time points. These monkeys had the option to move around the box and avert their eyes from the screen, yet, they demonstrated a natural interest in viewing species-specific imagery with no previous habituation to the eye-tracking paradigm. Provided with opportunistic data from voluntary viewing of stimuli, we found that juveniles viewed stimuli more than other age groups, videos were viewed more than static photo imagery, and that monkeys increased their viewing time when presented with multiple eye tracking sessions. This noninvasive approach opens new opportunities to integrate eye-tracking studies into nonhuman primate research.