Miracle-dz/UniFAR-FTUs huggingface dataset:
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy Dovepress

php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2017:10 333–343 Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy Dovepress
‘Integrated’ strategic rurban projects? An overview of the dimensions of integration

Integrated approaches, integrated visions, integrated actions, integrated financial flows, integrated development, etc. etc. Is ‘integration’ the new vogue word? Lately, the term (or the synonyms ‘united’, ‘combined’ and ‘associated’) appears in all kinds of projects, planningand policy documents, where it is being used as a catch-all concept. Especially the last years the need to ‘integrate’ seems to be ubiquitous within plan and project development. Also in the social sphere the demand and attention for integration has increased (Gulinck 2007, Demeester 2006). The large diversity and the complexity of the current issues; the complexity in space, and the connected processes and structures; the continuing social, economic and political changes that takes place in quick succession and that have some repercussion in space; the culmination of new appeared needs in the open space; the close interaction of economy, environment, ecology and society; etc. are only some of the reasons why integration today is placed high on the agenda of a lot of actors. The term integration, and especially the derivative term ‘integrated’, is omnipresent in the planning literature. After the appearance of concepts as ‘sustainability’ and ‘(spatial) quality’, ‘integration’ seems to have become the next buzzword. All too often, however, one is silent on the actual meaning of integration.
Host-Directed Therapy as a Novel Treatment Strategy to Overcome Tuberculosis: Targeting Immune Modulation

Tuberculosis (TB) is one of the leading causes of mortality and morbidity, particularly in developing countries, presenting a major threat to the public health. The currently recommended long term treatment regimen with multiple antibiotics is associated with poor patient compliance, which in turn, may contribute to the emergence of multi-drug resistant TB (MDR-TB). The low global treatment efficacy of MDR-TB has highlighted the necessity to develop novel treatment options. Host-directed therapy (HDT) together with current standard anti-TB treatments, has gained considerable interest, as HDT targets novel host immune mechanisms. These immune mechanisms would otherwise bypass the antibiotic bactericidal targets to kill Mycobacterium tuberculosis (Mtb), which may be mutated to cause antibiotic resistance. Additionally, host-directed therapies against TB have been shown to be associated with reduced lung pathology and improved disease outcome, most likely via the modulation of host immune responses. This review will provide an update of host-directed therapies and their mechanism(s) of action against Mycobacterium tuberculosis.
Increasing Circuit Lifetime by Accepting Precise Adders to work as Approximate Ones

Approximate computing is today one of the hottest topics related to circuit design and optimization, since by adopting this approach, designers are able to reduce area, power consumption, and even production costs in the case the target application is able to accept a given degree of inaccuracy in the final computations. In this paper, on the contrary, we propose a novel idea intended to analyze how accurate circuits behave in presence of faults and understanding if it is possible to still accept the faulty device in the given application, increasing, in this way, the device lifetime. We gather a set of results resorting to a set of 8-bit adders widely used in commercial applications in order to experimentally demonstrate the method suitability. Keywords— Approximate Computing, Approxiamte Testing, 8bit precise adders, reliability.
Models of Collaborative Governance: The City of Los Angeles’ Foreclosure Registry Program

The economic recession of 2007–2013 brought many challenges to nations and cities throughout the world. Los Angeles experienced a foreclosure crisis that brought instability in the real property market, resulting in property loss and loss of revenue from property taxes and increasing demands on city resources from blighted properties. The paper begins with a background of the problem related to blighted properties and proceeds a literature review related to the five phases to the development and implementation of a governance network. The paper then examines a case study—the City of Los Angeles Foreclosure Registry Program’s governance network to reduce blight—to assess the phases taken to learn if the theory of network design offers meaningful direction and insight. The paper closes with an evaluation of the consistency regarding the literature related to the five phases of governance network development and its implementation by the City of Los Angeles.
LEADERSHIP THAT TRANSFORMS SCHOOLS: A BREAKTHROUGH IN FRAMING THE RESEARCH AND DEVELOPMENT EFFORT

We recently completed a five-year international research and development project at Educational Transformations that has led to new insights on strategies to turn around low performing schools as well as sustain high levels of performance in schools that have been outstandingly successful over many years. The outcome is a breakthrough in our understanding of leadership and governance and a framework for policy and practice that may well be the first to span East and West in a new global perspective on school reform.
Relationship between Body Composition, Anthropometry and Physical Fitness in Under-12 Soccer Players of Different Positions

This study aimed to investigate the relationship between body composition, anthropometry and physical fitness in under-12 soccer players who play in different positions. Eighteen players underwent a battery of tests, in body composition and anthropometry significant differences were observed in weight (44.0 ± 4.6 vs. 35.6 ± 4.0 kg; p = 0.04) and body mass index (18.1 ± 1.0 vs. 16.1 ± 1.2 kg/cm 2 ; p = 0.01) between defensive and midfield players. In physical fitness differences occurred between the results in handgrip strength between defenders and forwards (21.3 ± 2.8 vs. 25.4 ± 3.7 kg; p = 0.04) and midfielders and forwards (20.5 ± 2.0 vs. 25.4 ± 3.7 kg; p = 0.04). Correlations occurred in the soccer defenders between body fat and the result of the agility test (r = -0.85, p <0.01). In the midfield players there was a correlation between height and countermovement jump (r = -0.91, p <0.05). It was also observed in the forward players a correlation between speed and agility (r = 0.88, p <0.05) and between agility and other two variables, body fat (r = 0.84, p <0.05) and handgrip strength (r = -0.93, p <0.01). A positive relationship between the aerobic performance and countermovement jump was also observed (r = 0.96, p <0.01), and a negative relationship between the aerobic performance and weight (r = -0.88, p <0.05). Under-12 soccer players should be involved in specific strength training and functional performance evaluated using scientific instruments for talent identification and training control.
TOWARDS RESPONSIVE SCORING TECHNIQUES FOR NETWORKED MUSIC PERFORMANCES

The latent and unstable nature of networked performances, where the delayed transmission and uncertain, unstable, and compressed reception of transferred information demands scoring conceptualizations that consider the loss of the presence information traditionally expected by musicians when performing together in a shared space and time. The focus of this study is to develop electronic networkaware responsive scoring techniques that consider the primary constraints of networked music performances: i.e., latency, uncertainty, multilocated, and digital. Using machine-learning techniques to investigate and enhance digitally mediated presence technology, scoring possibilities are discussed that promote the experience of performing together while being remote from each other—connected via a public network and subject to latency. This study also looks at compositional and technical approaches to creating responsive scores for networked music performances using analysis of transferred sound as a means to generate and control metadata and symbolic notation.
CHARACTERISTIC MODE ANALYSIS OF WIDEBAND MICROSTRIP ANTENNA

In this paper, a wideband antenna is designed systematically based on characteristic mode analysis (CMA). The antenna consists of a rectangle, a semi-annular ring, and a microstrip line. The radiating behavior and resonant frequencies of the radiating element are analyzed by using first four characteristic modes. First two modes only have wideband behavior and are excited by CPW feeding technique. The proposed antenna is printed on a low cost FR4 substrate with a size of 35×50×1.6 mm3 and impedance bandwidth ranging from 1.6 to 3.8 GHz for the applications of GSM, DCS, LTE, and WIMAX. To validate the proposed approach, the wideband antenna is fabricated and tested. A wide impedance bandwidth of 81% with |S11| < −10 dB is achieved for both simulation and measurement results.
ELT Voices – India

The current study attempts to examine the relationship between emotional intelligence and EFL instructors’ self-efficacy at the high school and university level. To this end, 102 instructors from local universities and high schools located in East and West Azarbaijan, Iran were selected as a sample of this research. In order to collect the necessary data, the Bar-On Emotional Quotient Inventory (the EQ-i) and Bandura’s Teacher Self-Efficacy Scale were used. Results suggest that there is a significant relationship between teachers’ emotional intelligence and their self-efficacy beliefs. The study concludes that it is necessary to both highlight the necessity of emotional intelligence and focus more attention on the role of it in EFL contexts.
Title : Clinical usefulness of bone turnover marker levels in osteoporosis Corresponding

Current evidence continues to support the potential for bone turnover markers (BTM) to provide clinically useful information particularly for monitoring the efficacy of osteoporosis treatment. Many of the limitations identified earlier remain, principally in regard to the relationship between BTM and incident fractures. Important data are now available on reference interval values for CTX and PINP across a range of geographic regions and for individual clinical assays. An apparent lack of comparability between current clinical assays for CTX has become evident indicating the possible limitations of combining such data for meta-analyses. Harmonization of units for reporting serum/plasma CTX (ng/L) and PINP (μg/L) is recommended. The development of international collaborations continues with an important initiative to combine BTM results from clinical trials in osteoporosis in a meta-analysis and an assay harmonization program are likely to be beneficial. It is possible that knowledge derived from clinical studies can further enhance fracture risk estimation tools with inclusion of BTM together with other independent risk factors. Further data of the relationships between the clinical assays for CTX and PINP as well as physiological and pre-analytical factors contributing to variability in BTM concentrations are required. *Abstract
Surgical angiogenesis for scaphoid non-union: a literature review

Non-union of scaphoid bone fractures, though an uncommon occurance, are a signficant cause of morbidity in young patients. This review outlines the current understanding of vascularised bone grafts and non-union, and examines the most current clinical literature regarding the role of these procedures in modern orthopaedic practice. Composite evidence from level III studies would support using osseous grafts on a vascular pedicle for patients with non-union of the proximal end of the scaphoid with associated avascular necrosis and in cases of revision surgery where a previous non-vascularised graft has failed to achieve bony union.
Microgels at Interfaces Behave as 2D Elastic Particles Featuring Reentrant Dynamics

Soft colloids are increasingly used as model systems to address fundamental issues such as crystallisation and the glass and jamming transitions. Among the available classes of soft colloids, microgels are emerging as the gold standard. Since their great internal complexity makes their theoretical characterization very hard, microgels are commonly modelled, at least in the small-deformation regime, within the simple framework of linear elasticity theory. Here we show that there exist conditions where its range of validity can be greatly extended, providing strong numerical evidence that microgels adsorbed at an interface follow the two-dimensional Hertzian theory, and hence behave like 2D elastic particles, up to very large deformations, in stark contrast to what found in bulk conditions. We are also able to estimate the Young's modulus of the individual particles and, by comparing it with its counterpart in bulk conditions, we demonstrate a significant stiffening of the polymer network at the interface. Finally, by analyzing dynamical properties, we predict multiple reentrant phenomena: by a continuous increase of particle density, microgels first arrest and then re-fluidify due to the high penetrability of their extended coronas. We observe this anomalous behavior in a range of experimentally accessible conditions for small and loosely crosslinked microgels. The present work thus establishes microgels at interfaces as a new model system for fundamental investigations, paving the way for the experimental synthesis and research on unique high-density liquidlike states. In addition, these results can guide the development of novel assembly and patterning strategies on surfaces and the design of novel materials with desired interfacial behavior.
Recovering Network Structure from Aggregated Relational Data using Penalized Regression

Social network data can be expensive to collect. Breza et al. (2017) propose aggregated relational data (ARD) as a low-cost substitute that can be used to recover the structure of a latent social network when it is generated by a specific parametric random effects model. Our main observation is that many economic network formation models produce networks that are effectively low-rank. As a consequence, network recovery from ARD is generally possible without parametric assumptions using a nuclear-norm penalized regression. We demonstrate how to implement this method and provide finite-sample bounds on the mean squared error of the resulting estimator for the distribution of network links. Computation takes seconds for samples with hundreds of observations. Easy-to-use code in R and Python can be found at https://github.com/mpleung/ARD.
GSSMD: New metric for robust and interpretable assay quality assessment and hit selection

In the high-throughput screening (HTS) campaigns, the Z'-factor and strictly standardized mean difference (SSMD) are commonly used to assess the quality of assays and to select hits. However, these measures are vulnerable to outliers and their performances are highly sensitive to background distributions. Here, we propose an alternative measure for assay quality assessment and hit selection. The proposed method is a non-parametric generalized variant of SSMD (GSSMD). In this paper, we have shown that the proposed method provides more robust and intuitive way of assay quality assessment and hit selection.
Trading on the Floor after Sweeping the Book

Informed traders need to trade fast in order to profit from their private information before it becomes public. Fast electronic markets provide such liquidity. Slow markets provide execution in an auction based trading floor. Hybrid markets combine both execution venues. In its main result, the paper shows that to compensate for their slow and risky executions, trading floors need to be at least twice as deep as the sweeping facility. Furthermore, when a stand-alone trading floor is enhanced with the addition of a sweeping facility, overall informed trading will decline because it is easier for informed traders to extract the full value of their private info.
Post-Volcanic Aerosol Altitude and Particle Size Measurements Basing on Twilight Sky Polarimetry

Measurements of the background intensity and polarization of the twilight sky were conducted during the "purple lights" epoch that was potentially caused by the Raikoke volcano eruption in the summer of 2019. An increase in sky brightness paired with a decrease in polarization was registered, especially noticeable in the dusk segment. Using techniques developed in previous works, altitude distribution and the mean particle size of additional aerosol was found. The mean radius of (0.11 micrometers) is typical for background or moderate eruption conditions, however, aerosols were mostly observed in the upper troposphere and near the tropopause rather than in the stratosphere. A comparison with existing aerosol data after mid-latitude eruptions like the Kasatochi volcano eruption one decade ago showed similar properties, which can be used as confirmation that the "purple lights" event in 2019 was of volcanic nature.
User-in-the-loop adaptive intent detection for instructable digital assistant

People are becoming increasingly comfortable using Digital Assistants (DAs) to interact with services or connected objects. However, for non-programming users, the available possibilities for customizing their DA are limited and do not include the possibility of teaching the assistant new tasks. To make the most of the potential of DAs, users should be able to customize assistants by instructing them through Natural Language (NL). To provide such functionalities, NL interpretation in traditional assistants should be improved: (1) The intent identification system should be able to recognize new forms of known intents, and to acquire new intents as they are expressed by the user. (2) In order to be adaptive to novel intents, the Natural Language Understanding module should be sample efficient, and should not rely on a pretrained model. Rather, the system should continuously collect the training data as it learns new intents from the user. In this work, we propose AidMe (Adaptive Intent Detection in Multi-Domain Environments), a user-in-the-loop adaptive intent detection framework that allows the assistant to adapt to its user by learning his intents as their interaction progresses. AidMe builds its repertoire of intents and collects data to train a model of semantic similarity evaluation that can discriminate between the learned intents and autonomously discover new forms of known intents. AidMe addresses two major issues - intent learning and user adaptation - for instructable digital assistants. We demonstrate the capabilities of AidMe as a standalone system by comparing it with a one-shot learning system and a pretrained NLU module through simulations of interactions with a user. We also show how AidMe can smoothly integrate to an existing instructable digital assistant.
C-RED 3: A SWIR camera for FSO applications

Free space communications (FSO) is interesting for distant applications where high bandwidth is needed while using a fiber is not possible. However these links have to face several issues, and the most important one is the beam scintillation due to the propagation through a turbulent media, the atmosphere. Several mitigation strategies have been developed, but the best way to suppress scintillation is to use adaptive optics, widely used now in astronomy. The main difficulty for FSO is to probe the wavefront fast enough to have a good turbulence correction. This was not possible due to the lack of wavefront sensors working in the SWIR. C-RED 3 is a 640x512 SWIR camera running at 600FPS full frame and has the legacy of all the developments of astronomical infrared fast wavefront sensors on top of specific features for FSO (Low SWaP, Low Cost). We will present the performances of this new camera and demonstrate how it fulfills the needs of FSO adaptive optics.
LASCA: Learning Assisted Side Channel Delay Analysis for Hardware Trojan Detection

In this paper, we introduce a Learning Assisted Side Channel delay Analysis (LASCA) methodology for Hardware Trojan detection. Our proposed solution, unlike the prior art, does not require a Golden IC. Instead, it trains a Neural Network to act as a process tracking watchdog for correlating the static timing data (produced at design time) to the delay information obtained from clock frequency sweeping (at test time) for the purpose of Trojan detection. Using the LASCA flow, we detect close to 90% of Hardware Trojans in the simulated scenarios.
Assessing and improving on current semi-analytical models for cosmic defect network evolution

We establish a correspondence between a recently proposed parameter-free velocity-dependent one-scale model and the standard parametric model for the cosmological evolution of domain wall networks. We find that the latter overestimates the damping of the wall motion due to the Hubble expansion and neglects the direct impact of wall decay on the evolution of the root-mean-square velocity of the network. We show that these effects are significant but may be absorbed into a redefinition of the momentum parameter. We also discuss the implications of these findings for cosmic strings. We compute the energy loss and momentum parameters of the standard parametric model for cosmological domain wall evolution using our parameter-free velocity-dependent one-scale model in the context of cosmological models having a power law evolution of the scale factor $a$ with the cosmic time $t$ ($a \propto t^\lambda$, $0 < \lambda < 1$), and compare with the results obtained from numerical field theory simulations. We further provide simple linear functions which roughly approximate the dependence of the the energy loss and momentum parameters on $\lambda$. Finally, we extend our formalism to account for the dynamics of $p$-branes in $N+1$-dimensional Friedmann-Lemaitre-Robertson-Walker spacetimes, thus proving the basis for future developments which, at least for $p
DNA-Based Storage: Models and Fundamental Limits

Due to its longevity and enormous information density, DNA is an attractive medium for archival storage. In this work, we study the fundamental limits and trade-offs of DNA-based storage systems by introducing a new channel model, which we call the noisy shuffling-sampling channel. Motivated by current technological constraints on DNA synthesis and sequencing, this model captures three key distinctive aspects of DNA storage systems: (1) the data is written onto many short DNA molecules; (2) the molecules are corrupted by noise during synthesis and sequencing and (3) the data is read by randomly sampling from the DNA pool. We provide capacity results for this channel under specific noise and sampling assumptions and show that, in many scenarios, a simple index-based coding scheme is optimal.