Miracle-dz/UniFAR-FTUs huggingface dataset:
A Population-Based Study of the Prevalence of Fatigue After Transient Ischemic Attack and Minor Stroke

Background and Purpose— Fatigue is common after stroke and can be attributable to the increased physical effort associated with severe neurological deficits; however, its presence in those with little motor deficit raises the possibility of confounding by other factors, such as comorbidity, anxiety, and medication. To control for such factors and determine the extent of stroke-specific fatigue, we compared patients with minor stroke who had little or no residual neurological deficit with patients with TIA; both groups had undergone similar investigations and treatment. Methods— The prevalence of fatigue 6 months after TIA or minor stroke was assessed in consecutive patients using the Chalder fatigue scale in a population-based incidence study (Oxford Vascular Study). Patients were included if they were independent in self-care Barthel Index (≥18/20) and without major cognitive impairment (Mini-Mental State Examination ≥24/30). Stroke severity at baseline was assessed with the National Institute of Health Stroke Scale (NIHSS). Other potential causes of fatigue were assessed including anxiety, depression, recent life events, medication, and abnormalities in biochemistry or hematologic tests. Results— Seventy-six participants had minor stroke (mean age, 74.1 years; 42 men) and 73 had TIA (mean age, 72.5 years; 40 men). At 6-month follow-up, median Barthel Index score was 20 (interquartile range, 20–20) in both groups. However, fatigue was more common after stroke than TIA (56% vs 29%; OR, 3.14; 95% CI, 1.51–6.57; P=0.0008). This difference was present both in patients with modified Rankin score of 0 at 6 months (23.8% vs 10.3%) and patients with modified Rankin score ≥1 (69.2% vs 48.6%), and remained more frequent in stroke patients after adjustment for potential confounders. Within the group of patients with stroke, the prevalence of fatigue increased with initial stroke severity (87% NIHSS ≥4 vs 48% NIHSS ≤3; P=0.0087); however, stroke patients with initial NIHSS of 0 were still more fatigued than patients with TIA (57% vs 29%; P=0.015). Conclusions— The prevalence of fatigue after minor stroke is higher than after TIA, suggesting that it is not simply a consequence of the stress of a recent acute cerebral event, comorbidity, medication, or other potential confounders. The high levels of fatigue in stroke patients without neurological impairment suggest it has a central origin rather than being the result of increased physical effort required after stroke.
Association between socioeconomic position discrimination and psychological distress: findings from a community-based sample of gay and bisexual men in New York City.

OBJECTIVES We examined the association between discrimination and mental health distress, focusing specifically on the relative importance of discrimination because of particular demographic domains (i.e., race/ethnicity, socioeconomic position [SEP]). METHODS The research team surveyed a sample of gay and bisexual men (n = 294) at a community event in New York City. Participants completed a survey on demographics, discrimination experiences in the past 12 months, attributed domains of discrimination, and mental health distress. RESULTS In adjusted models, discrimination was associated with higher depressive (B = 0.31; P < .01) and anxious (B = 0.29; P < .01) symptoms. A statistically significant quadratic term (discrimination-squared; P < .01) fit both models, such that moderate levels of discrimination were most robustly associated with poorer mental health. Discrimination because of SEP was associated with higher discrimination scores and was predictive of higher depressive (B = 0.22; P < .01) and anxious (B = 0.50; P < .01) symptoms. No other statistically significant relationship was found between discrimination domains and distress. CONCLUSIONS In this sample, SEP emerged as the most important domain of discrimination in its association with mental health distress. Future research should consider intersecting domains of discrimination to better understand social disparities in mental health.
Optical investigations of the RNA polymerase molecular motor

Molecular motors have been extensively studied over the past 25 years using a range of optical microscopy methods. The specific example of RNA polymerase, responsible for transcribing the information encoded in DNA into RNA, illustrates the strength of the convergence between these recent approaches and the vast store of data collected over the past half century using the more “classical” approaches of genetics, biochemistry, and structure elucidation. (© 2008 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Signal processing challenges for emerging digital intensive and digitally assisted transceivers with deeply scaled technology (Invited)

Mainstream foundries are leaping toward 14nm node and beyond. Although aggressive scaling can substantially improve digital circuit, it is very controversial for analog circuit. However, analog circuit still has to follow the scaling trend because a single chip integration offers key commercial advantages. To optimally achieve the best performance/power/cost tradeoff with deeply scaled technology nodes, there is a clear trend and paradigm shift towards digital intensive and digitally assisted transceivers. Successes of such transceivers have been proven for individual transceiver components and narrow band systems. When targeting emerging communication standards, higher carrier frequencies, further technology scaling and reconfigurable radios, required signal processing design and implementation are orders of magnitudes more challenging but potential gains are promising. Illustrated with a variety of transceivers representing emerging architectures designed for different sub-6GHz and 60GHz communication systems, we will depict key challenges that we experienced in our design and optimization process with 40nm and 28nm technology nodes.
Perspectives on the FDA Draft Guidances for Use of Adipose Tissue

2017, Vol 37(5) 622–625 © 2017 The American Society for Aesthetic Plastic Surgery, Inc. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http:// creativecommons.org/licenses/ by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com DOI: 10.1093/asj/sjx049 www.aestheticsurgeryjournal. com Editorial
Nonbinary LDPC-Coded Sphere-Packed Transmit Diversity

A recently proposed space-time block-coding (STBC) signal construction method that combines orthogonal design with sphere packing (SP) (referred to here as STBC-SP) has shown useful performance improvements over Alamouti's conventional orthogonal design. In this paper, we propose a purely symbol-based, low-density parity-check (LDPC)-coded scheme, demonstrating that the performance of STBC-SP systems can further be improved by concatenating SP-aided modulation with nonbinary LDPC and by performing symbol-based turbo detection between the nonbinary LDPC decoder and a rate-1 nonbinary inner precoder. We also investigate the convergence behavior of this symbol-based concatenated scheme with the aid of novel nonbinary extrinsic information transfer (EXIT) charts. Finally, we demonstrate that in the investigated scenarios, it requires 1-2 dB lower power in comparison with the equivalent effective-throughput 0.5-, 0.75-, and 1-bit/symbol systems employing bit-based turbo detection.
Capacity maximization in cooperative CRNs: Joint relay assignment and channel allocation

Cooperative communication (CC) can offer high channel capacity and reliability in an efficient and low-cost way by forming a virtual antenna array among single-antenna nodes that cooperatively share their antennas. It has been well recognized that the selection of relay nodes plays a critical role in the performance of multiple source-destination pairs. Unfortunately, all prior work has made an unrealistic assumption that each source-destination pair communicates over a dedicated channel with no mutual interference. In this paper, we study the problem of capacity maximization using cooperative communication in a cognitive radio network by jointly considering the relay assignment and channel allocation under a finite set of available channels, where the interference must be considered. It is proved to be NP-hard and a heuristic algorithm is proposed. Moreover, we exploit the network coding opportunities existing in CC that can further increase the capacity. Extensive simulations are conducted to show that the proposed algorithms can achieve high total capacity under various network settings.
3 D Image Representation through Hierarchical Tensor Decomposition , Based on SVD with Elementary Tensor of size 2 2 2

As it is known, groups of correlated 2D images of various kind could be represented as 3D images, which are mathematically described as 3 rd order tensors. Various generalizations of the Singular Value Decomposition (SVD) exist, aimed at the tensor description reduction. In this work, new approach is presented for 3 rd order tensor decomposition, where unlike the famous methods for decomposition components definition, iterative calculations are not used. The basic structure unit of the new decomposition is an elementary tensor (ET) of size 222, which builds the 3D tensors of size N×N×N, where N=2 n . The decomposition of the single ЕТ is executed by using Hierarchical 2-level SVD, where (in each level) the SVD of size 2×2 (SVD2×2) is applied on all sub-matrices obtained after the elementary tensor unfolding. The so calculated new sub-matrices of the SVD2×2 in each hierarchical level, are rearranged in accordance with the lessening of their corresponding singular values. The computational complexity of the new tensor decomposition is lower than that of the decompositions, based on iterative methods, and permits parallel calculations for all SVD2×2 for the sub-matrices in a given hierarchical level. Key-Words: 3D images, tensor decomposition, Hierarchical SVD (HSVD), elementary tensor of size 222.
Control scheme of a superconducting synchronous generator applied to a grid-connected wind power generation system

Wind power generation system is a promising area of application of a superconducting synchronous generator (SCSG). A voltage sourced frequency converter connected to the stator winding of the SCSG and a DC-DC converter for the exciting current are needed for wind energy conversion. This paper describes the operation and control scheme of a superconducting wind power generation system (SCWPGS). The SCSG, voltage sourced frequency converter, and DC-DC converter are modeled and controllers of converters are designed in a power system computer aided design/electromagnetic transients including DC. This paper shows the dynamic performance of the SCWPGS with the proposed control system. The designed control system for the SCWPGS in this paper will possibly be applied to the actual system.
Investigation of Thermodynamic Properties of Zirconia Thin Films by Statistical Moment Method

The moment method in statistical (SMM) dynamics is used to study the thermodynamic quantities of ZrO2 thin films taking into account the anharmonicity effects of the lattice vibrations. The average lattice constant, thermal expansion coefficient and specific heats at the constant volume of ZrO2 thin films are calculated as a function of temperature, pressure and thickness of thin film. SMM calculations are performed using the Buckingham potential for the ZrO2 thin films. In the present study, the influence of temperature, pressure and the size on the thermodynamic quantities of ZrO2 thin film have been studied using three different interatomic potentials. We discuss temperature and thickness dependences of some thermodynamic quantities of ZrO2 thin films and we compare our calculated results with those of the experimental results.
Human-agent teams for extended control operations in space

At Johnson Space Center (JSC) we have developed automated control agents to reduce human workload by automating routine tasks such as system reconfiguration and FDIR. We have evaluated these control agents for extended periods during ground tests of regenerative crew life support systems that represent analogs of crew systems operating in space. In this paper we describe our experience with these ground tests at JSC, including our use of the automated control agents during these tests. We describe how humanagent teams can coordinate their activities when distributed physically. We also describe how human teams can maintain both situation and system performance awareness of the automated control agent when they are distributed physically and communicating asynchronously.
Software tools

Building on the work of others is the only way to make substantial progress in any field. Yet computer programming continues as a cottage industry because programmers insist on reinventing programs for each new application, instead of using what already exists. We must encourage a way of packaging programs so that they can be perceived as standard tools, each performing its specialized task sufficiently well and interfacing to other tools so conveniently that programmers seldom feel any need to make their own version from scratch.In this paper we show how programmers can view substantial parts of what they do as tool building and tool using. By studying some specific examples of general purpose tools, we show how programs can be packaged as tools, so other programmers will use them in preference to building their own. We also comment on the sort of programming environment which seems most hospitable to the development and use of tools.
OntoXpl: Exploration of OWL Ontologies

To complement existing ontology editors, OntoXpl has been designed and implemented for searching and browsing knowledge bases in ontology files. The main motivation for OntoXpl is to provide a user-friendly, robust, and scalable ontology visualization and exploration tool for different users. The idea is to help users narrow down the knowledge base, for a given query, retrieve the relevant information, organize, and display the result in a manner convenient to users. The system relies on Racer's inference capabilities for offering users a better exploration mechanism. OntoXpl is based on the tomcat architecture and is available on the web, through standard HTML browsers. OntoXpl is one of the few ontology exploration tools developed so far that is fully targeted to OWL. At least three potential user groups are targeted by OntoXpl's design: (i) users with a limited background of ontologies and OWL; (ii) ontology developers who are OWL experts; (iii) users interested in understanding and reusing existing ontologies.
Shape and Color-aware Privacy Protection

We introduce a novel content-independent lter to protect privacy sensitive Regions Of Interest (ROI) in video surveillance sequences. An abstracted version of the original image is rendered such as the general appearance of shapes and colors is preserved, while obfuscating ne details carrying personal visual information. We use shapes and colors-aware, temporally coherent segmentation algorithm, combined with a color quantization and patch rendering step.
High-Speed E-Mode InAs QW MOSFETs With Al 2 O 3 Insulator for Future RF Applications

We demonstrate Lg = 100 nm high-speed enhancement-mode (E-mode) InAs quantum-well MOSFETs with outstanding high-frequency and logic performance. These devices feature a 3-nm Al2O3 layer grown by atomic layer deposition. The MOSFETs with Lg = 100 nm exhibit VT = 0.2 V (E-mode), RON = 370 Ω · μm, S = 105 mV/dec, DIBL = 100 mV/V, and gm_max = 1720 μS/μm at VDS = 0.5 V. They also have an excellent high-frequency response of fT = 248 GHz and fmax = 302 GHz at VDS = 0.5 V, the highest fT and fmax in III–V MOSFETs ever reported.
Relative Location Estimation Algorithm Based on Coordinates Inner Product Matrix-Based Maximum Likelihood

We present a relative location estimation algorithm based on the coordinates inner product matrix-based maximum likelihood (CML) for determining the relative locations of sensor nodes in wireless sensor networks. We use the geodesic distance between each node to obtain the coordinates inner product matrix, then derive the maximum-likelihood estimator for coordinates inner product matrix to estimate the coordinates of sensor nodes. The simulation results show that the proposed algorithm outperforms existing solutions in terms of the location accuracy in wireless sensor networks.
Large-Eddy Simulation on the Effects of Fuel Injection Pressure on the Gasoline Spray Characteristics

Increasing the injection pressure in gasoline direct injection engines has a substantial potential to reduce emissions while maintaining high efficiency in spark ignition engines. Present gasoline injectors operate at pressures of 20 to 30 MPa. However, the use of higher-pressure fuel injection (40 to 60 MPa or more) could potentially reduce emissions and increase fuel efficiency. To fully exploit the capabilities of high-pressure fuel injection technology, a fundamental understanding of gasoline spray characteristics and behavior at such high injection pressures is vital. Such an understanding could also be used to further model development and facilitate the integration of advanced injection systems into future gasoline engines. This work presents numerical simulation studies on gasoline sprays formed at fuel injection pressures between 40 and 150 MPa. Three nozzle hole shapes (divergent, convergent, and straight) with different configurations (6 or 10 holes) were considered in the simulation to determine how a nozzle geometry affects spray formation. The numerical calculations were performed in a constant volume spray chamber under non-vaporizing conditions to best match the experimental setup. The gas flow was modeled using a large-eddy simulation (LES) approach, while a standard Lagrangian model was utilized to describe the liquid fuel spray. Spray atomization was modeled using the Kelvin Helmholtz –Rayleigh Taylor (KH-RT) atomization model, with the droplet size distribution being assumed to follow a Rosin-Rammler distribution function. Simulation results for the spray liquid penetration length are validated with experimental findings under different fuel injection pressures. Afterwards, an arithmetic mean droplet diameter (D10) and a Sauter mean droplet diameter (D32) as a function of pressure are compared against the measured droplet diameters. Simulated drop size distributions are presented and compared with measured droplet sizes. The results indicate that high fuel injection pressures increase the liquid penetration length and significantly reduce droplet sizes, and that nozzle shape significantly affects spray characteristics and spray formation. In addition, raising the injection pressure from 40 to 150 MPa with a divergent nozzle was predicted to reduce the SMD from 13.4 to 7.5 μm while increasing the probability of observing droplet diameters of 5-10 μm from 40% to 72%. Similar results were obtained for the other nozzle shapes.
Network security hacks

To the uninitiated, the title may seem like an oxymoron: after all, aren't hacks what network security is supposed to prevent? But if you're network administrator, this book's title not only makes sense; it makes a lot of sense. You know that a busy administrator needs a hatful of devilishly effective security hacks to keep your 12-hour days from becoming all-nighters. Network Security Hacks is not a long-winded treatise on security theory. Instead, this information packed little book provides 100 quick, practical, and clever things to do to help make your Linux, UNIX, or Windows networks more secure today. This compendium of security hacks doesn't just cover securing TCP/IP-based services, but also provides intelligent host-based security techniques. Loaded with concise but powerful examples of applied encryption, intrusion detection, logging, trending, and incident response, Network Security Hacks will demonstrate effective methods for defending your servers and networks from a variety of devious and subtle attacks. Network Security Hacks show how to detect the presence (and track every keystroke) of network intruders, methods for protecting your network and data using strong encryption, and even techniques for laying traps for would-be system crackers. Important security tools are presented, as well as clever methods for using them to reveal real, timely, useful information about what is happening on your network. O'Reilly's Hacks Series reclaims the term "hacking" for the good guys--innovators who use their ingenuity to solve interesting problems, explore and experiment, unearth shortcuts, and create useful tools. Network Security Hacks lives up to reputation the Hacks series has earned by providing the "roll-up-your sleeves and get-it-done" hacks that most network security tomes don't offer. Every hack can be read in just a few minutes but will save hours of searching for the right answer. Using just one of these amazing hacks will make this slim book's price seem like a remarkable deal. The other 99 make Network Security Hacks absolutely invaluable.
A review of signal processing in brain computer interface system

Brain computer interface system incorporating signal processing techniques augments human capabilities by providing a new interaction link with the outside world and is particularly relevant as an aid for paralyzed humans, and even for able-bodied people. This paper describes the essential components of BCI system, types and signal processing techniques used in the system. Several methods of electrode placement, filtering, feature extraction and EEG signal classifications are also discussed. Future improvements on BCI system are proposed based on the limitations that have been highlighted.
Deep Learning Analysis of Amodal Completion CAPTCHA with Colors and Hidden Positions

Existing CAPTCHA methods are able to be read by computers owing to the development of technologies. We proposed a CAPTCHA method with amodal Completion in order to prevent computers from reading CAPTCHA. We also applied aftereffects and colors for the method to enhance visibility. However, our method was completely able to be read by computers with deep learning. However, we were able to discover the undetermined element and problems in our research and the research was not a waste since we found problems and some hits to improve our method. This study was conducted to expect that we get the opportunity to create a more robust CAPTCHA by improving them.
Interfirm Relationships and Business Performance

We organized business associations for the owner-managers of randomly selected young Chinese firms to study the effect of business networks on firm performance. We randomized 2,800 firms into small groups whose managers held monthly meetings for one year, and into a "no-meetings" control group. We find that: (1) The meetings increased firm revenue by 8.1 percent, and also significantly increased profit, factors, inputs, the number of partners, borrowing, and a management score; (2) These effects persisted one year after the conclusion of the meetings; and (3) Firms randomized to have better peers exhibited higher growth. We exploit additional interventions to document concrete channels. (4) Managers shared exogenous business-relevant information, particularly when they were not competitors, showing that the meetings facilitated learning from peers. (5) Managers created more business partnerships in the regular than in other one-time meetings, showing that the meetings improved supplier-client matching. (6) Firms whose managers discussed management, partners, or finance improved more in the associated domain, suggesting that the content of conversations shaped the nature of gains.