Miracle-dz/UniFAR-FTUs huggingface dataset:
Wireless Physical-Layer Identification: Modeling and Validation

The wireless physical-layer identification (WPLI) techniques utilize the unique features of the physical waveforms of wireless signals to identify and classify authorized devices. As the inherent physical-layer features are difficult to forge, WPLI is deemed as a promising technique for wireless security solutions. However, as of today, it still remains unclear whether the existing WPLI techniques can be applied under real-world requirements and constraints. In this paper, through both theoretical modeling and experiment validation, the reliability and the differentiability of the WPLI techniques are rigorously evaluated, especially under the constraints of the state-of-the-art wireless devices, real operation environments, as well as wireless protocols and regulations. In particular, a theoretical model is first established to systematically describe the complete procedure of the WPLI. More importantly, the proposed model is then implemented to thoroughly characterize the various WPLI techniques that utilize the spectrum features coming from the nonlinear RF front-end, under the influences from different transmitters, receivers, and wireless channels. Subsequently, the limitations of the existing WPLI techniques are revealed and evaluated in details using both the developed theoretical model and the in-lab experiments. The real-world requirements and constraints are characterized along each step in WPLI, including: 1) the signal processing at the transmitter (device to be identified); 2) the various physical-layer features that originate from circuits, antenna, and environments; 3) the signal propagation in various wireless channels; 4) the signal reception and processing at the receiver (the identifier); and 5) the fingerprint extraction and classification at the receiver.
Population snapshot of emergent Streptococcus pneumoniae serotype 19A in the United States, 2005.

BACKGROUND Serotype 19A invasive pneumococcal disease (IPD) increased annually in the United States after the introduction of the 7-valent conjugate vaccine (PCV7). To understand this increase, we characterized serotype 19A isolates recovered during 2005. METHODS IPD cases during 1998-2005 were identified through population-based surveillance. We performed susceptibility testing and multilocus sequence typing on 528 (95%) of 554 serotype 19A isolates reported in 2005. RESULTS The incidence of IPD due to serotype 19A increased from 0.8 to 2.5 cases per 100,000 population between 1998 and 2005 (P < .05), whereas the overall incidence of IPD decreased from 24.4 to 13.8 cases per 100,000 population (P < .05). Simultaneously, the incidence of IPD due to penicillin-resistant 19A isolates increased from 6.7% to 35% (P < .0001). Of 151 penicillin-resistant 19A isolates, 111 (73.5%) belonged to the rapidly emerging clonal complex 320, which is related to multidrug-resistant Taiwan(19F)-14. The remaining penicillin-resistant strains were highly related to other clones of PCV7 serotypes or to isolates within major 19A clonal complex 199 (CC199). In 1999, only CC199 and 3 minor clones were apparent among serotype 19A isolates. During 2005, 11 multiple-isolate clonal sets were detected, including capsular switch variants of a serotype 4 clone. CONCLUSIONS PCV7 ineffectiveness against serotype 19A, antibiotic resistance, clonal expansion and emergence, and capsular switching have contributed to the genetic diversity of 19A and to its emergence as the predominant invasive pneumococcal serotype in the United States.
Breakeven, Cost Benefit, Cost Effectiveness, and Willingness to Pay for Web-Based Versus Face-to-Face Education Delivery for Health Professionals

Background The introduction of Web-based education and open universities has seen an increase in access to professional development within the health professional education marketplace. Economic efficiencies of Web-based education and traditional face-to-face educational approaches have not been compared under randomized controlled trial conditions. Objective To compare costs and effects of Web-based and face-to-face short courses in falls prevention education for health professionals. Methods We designed two short courses to improve the clinical performance of health professionals in exercise prescription for falls prevention. One was developed for delivery in face-to-face mode and the other for online learning. Data were collected on learning outcomes including participation, satisfaction, knowledge acquisition, and change in practice, and combined with costs, savings, and benefits, to enable a break-even analysis from the perspective of the provider, cost-effectiveness analysis from the perspective of the health service, and cost-benefit analysis from the perspective of the participant. Results Face-to-face and Web-based delivery modalities produced comparable outcomes for participation, satisfaction, knowledge acquisition, and change in practice. Break-even analysis identified the Web-based educational approach to be robustly superior to face-to-face education, requiring a lower number of enrollments for the program to reach its break-even point. Cost-effectiveness analyses from the perspective of the health service and cost-benefit analysis from the perspective of the participant favored face-to-face education, although the outcomes were contingent on the sensitivity analysis applied (eg, the fee structure used). Conclusions The Web-based educational approach was clearly more efficient from the perspective of the education provider. In the presence of relatively equivocal results for comparisons from other stakeholder perspectives, it is likely that providers would prefer to deliver education via a Web-based medium. Trial Registration Australian New Zealand Clinical Trials Registry (ACTRN): 12610000135011; http://www.anzctr. org.au/trial_view. aspx? id=335135 (Archived by WebCite at http://www.webcitation.org/668POww4L)
Path Checking for MTL and TPTL over Data Words

Metric temporal logic (MTL) and timed propositional temporal logic (TPTL) are quantitative extensions of linear temporal logic, which are prominent and widely used in the verification of real-timed systems. It was recently shown that the path checking problem for MTL, when evaluated over finite timed words, is in the parallel complexity class NC. In this paper, we derive precise complexity results for the path-checking problem for MTL and TPTL when evaluated over infinite data words over the non-negative integers. Such words may be seen as the behaviours of one-counter machines. For this setting, we give a complete analysis of the complexity of the path-checking problem depending on the number of register variables and the encoding of constraint numbers (unary or binary). As the two main results, we prove that the path-checking problem for MTL is P-complete, whereas the path-checking problem for TPTL is PSPACE-complete. The results yield the precise complexity of model checking deterministic one-counter machines against formulae of MTL and TPTL.
Two-party Bell inequalities derived from combinatorics via triangular elimination

We establish a relation between the two-party Bell inequalities for two-valued measurements and a high-dimensional convex polytope called the cut polytope in polyhedral combinatorics. Using this relation, we propose a method, triangular elimination, to derive tight Bell inequalities from facets of the cut polytope. This method gives two hundred million inequivalent tight Bell inequalities from currently known results on the cut polytope. In addition, this method gives general formulae which represent families of infinitely many Bell inequalities. These results can be used to examine general properties of Bell inequalities.
Incremental Learning of Boosted Face Detector

In recent years, boosting has been successfully applied to many practical problems in pattern recognition and computer vision fields such as object detection and tracking. As boosting is an offline training process with beforehand collected data, once learned, it cannot make use of any newly arriving ones. However, an offline boosted detector is to be exploited online and inevitably there must be some special cases that are not covered by those beforehand collected training data. As a result, the inadaptable detector often performs badly in diverse and changeful environments which are ordinary for many real-life applications. To alleviate this problem, this paper proposes an incremental learning algorithm to effectively adjust a boosted strong classifier with domain-partitioning weak hypotheses to online samples, which adopts a novel approach to efficient estimation of training losses received from offline samples. By this means, the offline learned general-purpose detectors can be adapted to special online situations at a low extra cost, and still retains good generalization ability for common environments. The experiments show convincing results of our incremental learning approach on challenging face detection problems with partial occlusions and extreme illuminations.
Spatial virtual keyboard for wand based virtual reality

We propose a virtual keyboard for virtual environments using tracked controllers that users interact with spatially. Based on how users interact with touch screen keyboards, users move their controller into the volume of a key. Input on the controller acts as a quick, discreet confirmation of button selection. The keyboard can be adjusted in size and distance for user comfort.
Bortner Type A Scores and Basic Emotions: Aggression, Distrustful, Depression, and Gregarious

We examined the correlations between scores on Bonner's scale and measures of aggression, distrustful, gregarious, and depression in 1,084 employees. Prospectively over 2 yr. we investigated the relationship of Type A behavior with cardiac mortality. Subjects classified as Type A had higher mean ratings on measures of aggression and distrustful than did persons classified as Type B. Mortality was lower in patients classified as reporting Type A behavior (12%) than in the patients classified as reporting Type B behavior (22%).
A Study of the Endoscopic Surgery Simulation Training System Based on 3D Virtual Reality

The key techniques and methods to design and realize the virtual endoscopic surgery training system were discussed. In accordance with the functional requirement, the virtual endoscopic surgery training system was built using hierarchical system structure, with the 3-dimensional model of human organ, soft tissue deformation and cutting algorithm, and also with the function of virtual scene editing and rendering. The tetrahedron model of the organ was designed according to the medical data, which was packaged with double linked list; according to the viscoelasticity features of soft tissue, it's deformation was been simulated by using spring-mass model, the cutting was been simulated by using cut-off points duplicating/ separating algorithm.
Combination of spatial modulation and non-orthogonal multiple access using hybrid detection scheme

Among the key technologies that have been developed for efficient transmission for 5G, are spatial modulation (SM) and non-orthogonal multiple access (NOMA). In SM, multiple transmission antenna is modulated as information in order to increase capacity. On the other hand, NOMA allows to share the same frequency resources at the same time. Obviously, combination of these two techniques offers a new accomplishment for wireless transmission. In this paper, we develop a new technique to combine SM and NOMA for uplink transmission. A hybrid detection scheme is introduced in order to estimate information in receiver side. In transmitter, we set maximum transmission power for near-end user (NEU) and lower transmission power for far-end user (FEU). The main idea of our proposed detection scheme is to perform maximum receive ratio combining (MRRC) to obtain antenna index and then estimate the corresponding symbol for NEU. Afterwards, we apply successive interference cancellation (SIC) to the total received signal in order to eliminate NEU's signal. Finally, maximum likelihood estimation (MLE) is applied to the remaining signal to estimate FEU's antenna index and transmitted symbol. As the result, we also present the bit error rate (BER) comparison and achievable user and system transmission bits.
A Cullin1-Based SCF E3 Ubiquitin Ligase Targets the InR/PI3K/TOR Pathway to Regulate Neuronal Pruning

Pruning that selectively eliminates unnecessary axons/dendrites is crucial for sculpting the nervous system during development. During Drosophila metamorphosis, dendrite arborization neurons, ddaCs, selectively prune their larval dendrites in response to the steroid hormone ecdysone, whereas mushroom body γ neurons specifically eliminate their axon branches within dorsal and medial lobes. However, it is unknown which E3 ligase directs these two modes of pruning. Here, we identified a conserved SCF E3 ubiquitin ligase that plays a critical role in pruning of both ddaC dendrites and mushroom body γ axons. The SCF E3 ligase consists of four core components Cullin1/Roc1a/SkpA/Slimb and promotes ddaC dendrite pruning downstream of EcR-B1 and Sox14, but independently of Mical. Moreover, we demonstrate that the Cullin1-based E3 ligase facilitates ddaC dendrite pruning primarily through inactivation of the InR/PI3K/TOR pathway. We show that the F-box protein Slimb forms a complex with Akt, an activator of the InR/PI3K/TOR pathway, and promotes Akt ubiquitination. Activation of the InR/PI3K/TOR pathway is sufficient to inhibit ddaC dendrite pruning. Thus, our findings provide a novel link between the E3 ligase and the InR/PI3K/TOR pathway during dendrite pruning.
Evaluation of patients’ experiences at different stages of the intravitreal injection procedure – what can be improved?

Introduction Intravitreal injection of ranibizumab has become one of the most commonly performed ophthalmic procedures. It is timely to conduct an evaluation of the injection procedure from the patient’s perspective so as to determine ways to improve patient experience. The purpose of this study was to quantitatively describe patients’ experiences of the different stages of the intravitreal injection procedure and provide suggestions for improvement. Method Following intravitreal injection, patients were administered a questionnaire to score the distress felt for each of ten parts of the whole injection process from the initial waiting to the final instillation of topical antibiotic at the end. A score of higher than 4 was regarded as significantly unpleasant. The proportion of scores above 4 for each step was used to evaluate the relative distress experienced by patients for the different parts of the procedure. Results A total of 42 patients were surveyed. The step with the highest percentage of patients scoring more than 4 was the injection step (19%). However, cumulatively, the steps relating to the application of the drape, the speculum, and the removal of drape accounted for 53% of scores greater than 4. Conclusion There is considerable variation in how patients tolerate different stages of the injection procedure. The needle entry was the most unpleasant step followed by the draping steps cumulatively. Use of subconjunctival anesthesia, a perforated drape, and alternative lid exclusion devices may help to improve the patient’s tolerability of the procedure and experience.
Effects of corticosterone and 2,3,7,8‐tetrachloro‐ dibenzo‐p‐dioxin on epididymal antioxidant system in adult rats

2,3,7,8‐Tetrachlorodibenzo‐p‐dioxin (TCDD), an endocrine disruptor, causes epididymal toxicity by inducing oxidative stress. Glucocorticoids have been found to influence TCDD action in vitro and in vivo. The present experiments were set up to analyze the effects of TCDD on rat epididymal antioxidant system under the influence of increased corticosterone level. Adult male Wistar/NIN rats (70–80 days old) numbering 24 (six per group) were used in the study. Corticosterone (3 mg/kg body weight per day) or TCDD (100 ng/kg body weight per day) were administered or coadministered to rats for 15 days. Treatment with corticosterone or TCDD decreased the levels of serum testosterone significantly. In caput, corpus, and cauda fractions, administration of corticosterone or TCDD increased the levels of lipid peroxidation and hydrogen peroxide and decreased the activities of superoxide dismutase and catalase significantly. Coadministration of corticosterone and TCDD to rats decreased the levels of serum testosterone significantly as compared with rats treated with TCDD alone. In caput, corpus, and cauda fractions, the levels of lipid peroxidation and hydrogen peroxide were increased and activities of superoxide dismutase and catalase were decreased significantly as compared with rats treated with TCDD alone. Stress, characterized by increased glucocorticoid levels and activity, may enhance TCDD‐induced epididymal toxicity. © 2010 Wiley Periodicals, Inc. J Biochem Mol Toxicol 24:242–249, 2010; View this article online at wileyonlinelibrary.com. DOI 10.1002/jbt.20332
Illiquidity or Credit Deterioration: A Study of Liquidity in the Us Corporate Bond Market During

We investigate whether liquidity is an important price factor in the US corporate bond market. In particular, we focus on whether liquidity effects are more pronounced in periods of financial crises, especially for bonds with high credit risk, using a unique data set covering more than 20,000 bonds, between October 2004 and December 2008. We employ a wide range of liquidity measures and find that liquidity effects account for approximately 14% of the explained market-wide corporate yield spread changes. We conclude that the economic impact of the liquidity measures is significantly larger in periods of crisis, and for speculative grade bonds.
Prospective Study IL-7 , IL-18 , MCP-1 , MIP 1-β , and OPG as Biomarkers for Pain Treatment Response in Patients with Cancer

Objectives: The primary objective was to search and identify pain-associated cytokines (biomarkers) correlating with changes in numeric rating scale (NRS) pain scores in patients with cancer before and after pain treatment. The secondary objectives were to assess cytokine serum level differences between patients and healthy controls and to evaluate possible relationships between pain entities, pain intensity (in NRS), gender, location of primary tumor, and the patients’ cytokine baseline concentrations.
Doctors Who Are Using E-mail With Their Patients: a Qualitative Exploration

Background Despite the potential for rapid, asynchronous, documentable communication, the use of e-mail for physician-patient communication has not been widely adopted. Objective To survey physicians currently using e-mail with their patients daily to understand their experiences. Methods In-depth phone interviews of 45 physicians currently using e-mail with patients were audio taped and transcribed verbatim. Two investigators independently qualitatively coded comments. Differences were adjudicated by group consensus. Results Almost all of the 642 comments from these physicians who currently use e-mail with patients daily could be grouped into 1 of 4 broad domains: (1) e-mail access and content, (2) effects of e-mail on the doctor-patient relationship, (3) managing clinical issues by e-mail, and (4) integrating e-mail into office processes. The most consistent theme was that e-mail communication enhances chronic-disease management. Many physicians also reported improved continuity of care and increased flexibility in responding to nonurgent issues. Integration of e-mail into daily workflow, such as utilization of office personnel, appears to be a significant area of concern for many of the physicians. For other issues, such as content, efficiency of e-mail, and confidentiality, there were diverging experiences and opinions. Physicians appear to be selective in choosing which patients they will communicate with via e-mail, but the criteria for selection is unclear. Conclusions These physician respondents did perceive benefits to e-mail with a select group of patients. Several areas, such as identifying clinical situations where e-mail communication is effective, incorporating e-mail into office flow, and being reimbursed for online medical care/communication, need to be addressed before this mode of communication diffuses into most practices.
Robust Reservoir Generation by Correlation-Based Learning

Reservoir computing (RC) is a new framework for neural computation. A reservoir is usually a recurrent neural network with fixed random connections. In this article, we propose an RCmodel in which the connections in the reservoir are modifiable. Specifically, we consider correlation-based learning (CBL), which modifies the connection weight between a given pair of neurons according to the correlation in their activities. We demonstrate that CBL enables the reservoir to reproduce almost the same spatiotemporal activity patterns in response to an identical input stimulus in the presence of noise. This result suggests that CBL enhances the robustness in the generation of the spatiotemporal activity pattern against noise in input signals. We apply our RC model to trace eyeblink conditioning. The reservoir bridged the gap of an interstimulus interval between the conditioned and unconditioned stimuli, and a readout neuron was able to learn and express the timed conditioned response.
A New Approach for Incremental Modular Neural Networks in Time Series Forecasting

Modular Neural Networks have been used to solve complex problems in a reduced amount of time, to obtain better performance on a range of tasks, and to provide a better understanding of the human brain. This paper presents the rst stage of research into Modular Neural Networks where the evolution of them allows an incremental architecture for solving more than one problem. The basis for developing that approach is described in this work. Experimental tests and related issues are presented using an Evolutionary Algorithm called EPNet, obtaining appropriate modules for 20 Time Series Forecasting tasks.