Miracle-dz/UniFAR-FTUs huggingface dataset:
Use of Acellular Dermal Replacement in Reconstruction of Nonhealing Lower Extremity Wounds

Dermal templates are well established in the treatment of burn wounds and acute nonburn wounds. However, the literature regarding their use for reconstruction of chronic, nonhealing wounds is limited. This study describes a series of patients with chronic wounds reconstructed with a commercially available bilayer, acellular dermal replacement (ADR) containing a collagen-glycosaminoglycan dermal template and a silicone outer layer. A retrospective review was performed of 10 patients treated for chronic wounds with ADR and negative pressure dressing followed by split-thickness skin graft between July 2006 and January 2009. Data collected included age, gender, comorbidities, medications, wound type or location, wound size, the number of applications of ADR, the amount of ADR applied (in square centimeter), the amount of time between ADR placement and grafting, complications, need for reoperation, and percentage of graft take after 5 and 14 days. The mean age of study subjects was 44 years. All patients in the study had comorbidities that interfere with wound healing and were treated for lower extremity wounds (four to legs, five to ankles, and one to foot). The wounds had a variety of causative factors including venostasis ulcers (6, 60%), trauma in diabetic patients (2, 20%), brown recluse bite (1, 10%), and a wound caused from purpura fulminans (1, 10%). The average wound size and amount of ADR applied was 162±182 cm2. Each patient required only one application of ADR. The average time between ADR placement and skin grafting was 36.5 days. The mean percentage of graft take at 5 days was 89.55%, 14 days was 90%, and 21 days was 87.3%. Only two patients required regrafting, and one of these grafts was lost because of patient noncompliance. ADR can be used successfully in the treatment of chronic wounds. ADR provides direct wound coverage and can conform to a variety of anatomical sites. This study demonstrates that the use of ADR in treating chronic wounds results in high rates of skin graft take. Favorable results were obtained despite the majority of patients having comorbidities that would normally interfere with wound healing.
The importance of multimodality in sarcasm detection for sentiment analysis

Sentiment analysis is the computational study of opinions given by the users of online media platforms e.g. Twitter, Facebook, Instagram. The output will be in the form of polarity: positive, negative or indifferent. The field has become very useful for the industry as it can feed them the information of what is sought after by their customers in a given time. It has also rapidly became a topic of interest in the research world, for its importance and subjectivity. One of the most challenging issue in sentiment analysis is sarcasm. The existence of sarcasm is mostly ignored by the researchers in the field of sentiment analysis as it is considered to be too complex. Sarcasm is what most researchers regarded as a subset of irony. It is the utterance of positive statement with negative intent. Intent is hard to detect not only for computers but also for humans. The listener is deemed to have a certain degree of background knowledge or context of what the speaker is saying to understand sarcasm. The researches that takes sarcasm into account or solely focuses on sarcasm is in the trend of using context outside the target word for sarcasm detection, and the most popular approach is deep learning. However, both deep learning and context need a lot of features. In this paper, we will look at some researches that focuses on sarcasm detection and their agreement that more than text is needed to properly detect sarcasm. Also in this paper is the trends undergone by sarcasm detection researchers and their proposed techniques.
Bilateral filtering for video coding

This paper proposes the use of a bilateral filter as a coding tool for video compression. The filter is applied after transform and reconstruction, and the filtered result is used both for output as well as for spatial and temporal prediction. The implementation is based on a look-up table (LUT), making it fast enough to give a reasonable trade-off between complexity and compression efficiency. By varying the center filter coefficient and avoiding storing zero LUT entries, it is possible to reduce the size of the LUT to 2202 bytes. It is also demonstrated that the filter can be implemented without divisions, which is important for full custom ASIC implementations. The method has been implemented and tested according to the common test conditions in JEM version 5.0. 1. For still images, or intra frames, we report a 0.4% bitrate reduction with a complexity increase of 6% in the encoder and 5% in the decoder. For video, we report a 0.5% bitrate reduction with a complexity increase of 3% in the encoder and 0% in the decoder.
StarSpace: Embed All The Things!

We present StarSpace, a general-purpose neural embedding model that can solve a wide variety of problems: labeling tasks such as text classification,ranking tasks such as information retrieval/web search,collaborative filtering-based or content-based recommendation,embedding of multi-relational graphs, and learning word, sentence or document level embeddings.In each case the model works by embedding those entities comprised of discrete features and comparing them against each other -- learning similarities dependent on the task.Empirical results on a number of tasks show that StarSpace is highly competitive with existing methods, whilst also being generally applicable to new cases where those methods are not.
Yours, Mine, and Ours: The Importance of Scientific Collaboration in Advancing the Field of Behavior Change Research

The Behavior Change Consortium (BCC) has provided a unique opportunity to combine and explore resources, data, processes, and knowledge as a means of strengthening the validity, reliability, and outcomes that compose the field of behavioral science. The workgroups of the BCC were able to transcend disciplinary boundaries by developing a collaborative framework that fused scholarship and creativity to explore research problems in the area of health behavior change theory and intervention. We have identified seven common elements that emerged from each workgroup and fostered inclusion, progress, and ultimately results. These elements were (a) establishing communication channels, (b) identifying objectives, (c) utilizing common measures, (d) obtaining financial support, (e) seeking outside feedback, (f) engaging “big picture” thinking, and (g) bridging theory to practice. In this article we describe the various processes involved in the creation and sustainability of the BCC, including internal and external communications, leadership, workgroup roles, private and public partnerships, and issues associated with data sharing. We also discuss why, in the case of the BCC, the whole is far greater than the sum of its parts. We present this example of unparalleled multibehavioral research collaboration as a model to other collaborative efforts that will be spawned by the new National Institutes of Health Roadmap initiative.
Dynamic Response of Rigid Blocks to Simultaneous Horizontal and Vertical Ground Shock

Surface and underground explosions generate ground shock that might result in overturning of equipment housed in nearby structures owing to rocking responses. Comprehensive studies of rigid structure responses to seismic ground excitations have been reported. It was found that the rocking and sliding response of a rigid structure is highly nonlinear. The structure stability depends on the structure slenderness, as well as the ground motion amplitude, frequency and duration. Compared to an earthquake ground motion, a ground shock has a very large amplitude, high frequency contents and short duration. Moreover, vertical component of a ground shock is often higher than the gravitational acceleration g. This will cause the unanchored equipment fly into air. Therefore, the responses and stability regions of a rigid structure to blast induced ground shock will be very different from those under seismic ground motions. No study of rocking response and overturning of rigid structure to ground shock of amplitude more than 1.0 g can be found in the literature. As there might be some important equipment in buildings near a mining or a quarry site, or a military command center subjected to ground shock, understanding rigid structure response to ground shock is essential for protection of such equipment. In this study, theoretical derivation and numerical prediction of rocking and flying responses and overturning of rigid structures to simultaneous horizontal and vertical ground shock are carried out. Numerical results of stability regions of rigid structures to ground shock are derived. Particular attentions are paid to the case when the vertical ground shock is more than 1.0 g and the rigid structure flies into the air. Results are compared to those obtained with earthquake ground motions. Discussions of the rigid structure stability to ground shock are made.
Optimal placement of UPFC across a transmission line considering techno-economic aspects with physical limitation

Changing load in power system network might lead to the voltage collapse in critical situations. By providing the proper power compensation with respect to these changes, the stability of such system can be increased. This paper aims at optimal placement of a unified power flow controller (UPFC) across a transmission line to overcome such stability problems by injecting active and reactive power into the system. For the analysis we have chosen standard IEEE test systems of 14-bus, 30-bus and 57-bus network. The PQ buses are loaded randomly to simulate the unpredictability and challenges of a power system transmission network. By using Mi-Power 9.0 software newton raphson load flow (NRLF) is applied to get power flow solution with and without UPFC. UPFC is placed at receiving-end bus, mid-point or sending-end bus of the transmission line connecting the lowest voltage magnitude bus and any adjacent bus. The analysis is done based on voltage profile improvement index (VPII), active and reactive power losses, UPFC installation cost and power generation cost. The effectiveness and benefits of UPFC allocation is proved by results.
Tellybox: Nine Speculative Prototypes For Future TV

We have developed nine speculative ("half-resolution") prototypes as part of our project to explore future possibilities for television experiences as widely as possible. The prototypes are physical representations of our research into why people watch television and what they like and dislike about it. Their physicality improves engagement and quality of feedback, at low cost. The ultimate goal is to be able to describe the high-level characteristics of a really good experience of television in the home, and so provide direction for future technology and interface development.
Impact of Biases in Big Data

The underlying paradigm of big data-driven machine learning reflects the desire of deriving better conclusions from simply analyzing more data, without the necessity of looking at theory and models. Is having simply more data always helpful? In 1936, The Literary Digest collected 2.3M filled in questionnaires to predict the outcome of that year's US presidential election. The outcome of this big data prediction proved to be entirely wrong, whereas George Gallup only needed 3K handpicked people to make an accurate prediction. Generally, biases occur in machine learning whenever the distributions of training set and test set are different. In this work, we provide a review of different sorts of biases in (big) data sets in machine learning. We provide definitions and discussions of the most commonly appearing biases in machine learning: class imbalance and covariate shift. We also show how these biases can be quantified and corrected. This work is an introductory text for both researchers and practitioners to become more aware of this topic and thus to derive more reliable models for their learning problems.
Through Which Channels Can Remittances Spur Economic Growth in MENA Countries?

This paper studies the remittances' effect on economic growth. Using panel data techniques, the authors estimate several specifications to provide support of such relationship for MENA countries over the period 1980-2009. The findings provide new robust evidence on how remittances are used in MENA countries and show the main channels which may interfere in this process. Estimation outcomes show that the most important part of remittances is consumed and that remittances stimulate growth only when they are invested. Moreover, empirical results suggest that remittances can enhance growth by encouraging human capital accumulation. Human capital is therefore an effective channel through which remittances stimulate growth in MENA countries.
From Abstract to Concrete Repairs of Model Inconsistencies: An Automated Approach

A common task performed in model-driven software engineering is evolving models. This task is typically performed manually during the design or implementation phase of software projects and is known to cause inconsistencies. Despite extensive research on consistency checking, existing approaches either provide abstract (i.e., incomplete) repairs only, or they require manually predefined strategies on how to repair inconsistencies. In this paper, we present a novel approach that provides concrete (i.e., executable) repairs without the need of predefined repair strategies. Furthermore, our approach proposes functions which automate the generation of concrete repairs at runtime. An empirical assessment of the approach on six case studies from industry, academia and GitHub demonstrates its feasibility, and shows that the provided concrete repairs are relevant and can fix their corresponding inconsistencies automatically.
Systematic Design of Printable Metasurfaces: Validation Through Reverse-Offset Printed Millimeter-Wave Absorbers

In this paper, we present a systematic methodology for realizing desired sheet impedances of printable metasurfaces. This methodology allows independent control of the sheet reactance (capacitance and series inductance) and its resistance, even if the conductor properties as well as the dielectric substrate thickness and permittivity are fixed due to manufacturing process restrictions. The derived analytical formulas allow us to easily find the physical dimensions of conductive patterns, which implement the required surface impedance. Numerical verification of the method shows excellent agreement with the analytical predictions, allowing the design of an arbitrary impedance without any optimization process. The method can be applied for designing lossy and low-loss metasurfaces, which can be used for absorption and wavefront manipulation of electromagnetic waves. As a representative example, the design of thin perfect absorbers has been approached using the developed method. The results demonstrate that the methodology adapts various material sheet resistivity, opening new possibilities for the design of printable metasurfaces, where the sheet resistivity of conductor strongly depends on the specific printing method. Finally, an experimental validation of absorbers designed for millimeter waves and printed using reverse-offset techniques is presented. To the best of our knowledge, this is the first time when reverse-offset printing has been used to provide well-working devices for short millimeter waves.
Cancer classification with multi-task deep learning

Microarray technique can generate a large amount of gene expression profiles for thousands of genes simultaneously. The gene expression data has been widely used in disease diagnosis and deep learning approach has achieved great successes in this task. However, the deep learning approach may fail when the expression data for a particular tumor is insufficient for training an effective model. In this paper, we propose a novel multi-task deep learning (MTDL) to overcome the aforementioned deficiency by leveraging the knowledge among multiple expression data of related cancers. MTDL learns local features from each task with some private neurons, and learns shared features for all tasks simultaneously with some shared neurons, and learns to inference for each task separately in the end layer. Since MTDL leverages the expression data of multiple cancers, it can learn more stable representation for each cancer even its expression profiles are inadequate. The experimental results show that MTDL significantly improves the performance of diagnosing each type of cancer when it jointly learns from the expression data of twelve cancer datasets.
Medical Diagnostics Using Re∞ection Method and Waveguide Probes | Feasibility Study

Paper deals with the complex permittivity measurement of biological tissues. Ap- plication of a waveguide probe for this measurement is shown. A non-destructive and non-invasive method based on re∞ection coe-cient measurement attaching the material under test is used. New types of the probes are under investigation | the section of waveguide with H cross-section, the section of waveguide with the rectangular cross-section and with shorted walls, the section of waveguide with inserted dielectric wedge and flnally the section of waveguide fllled with the liquid dielectric. Properties of these prototypes are studied in the frequency range from 300kHz to 3GHz. The method of flnite difierence in time domain is utilized for the numerical modeling and simulation of the re∞ection coe-cient. The condition for the input re∞ection coe-cient of the waveguide probe is the range from (0.7{0.3) in the broad frequency band. Although the waveg- uide is a narrowband microwave component, its modiflcations could have broadband frequency behavior of the re∞ection coe-cient. Results indicate that the most interesting and suitable is the solution with removable dielectric. This liquid dielectric with the low value of permittivity has signiflcant in∞uence on the cut-ofi frequency of waveguide with dominant mode propagation. The knowledge of dielectric parameters of materials is essential for microwave or radio engineers in analysis and synthesis of devices. Relative permittivity, loss factor and conductivity are input parameters for electromagnetic fleld modeling and simulations. Although for many materials these parameters could be found in the tables, very often their experimental determination is necessary. Dielectric properties of biological tissues are determining factors for the dissipation of elec- tromagnetic energy in the human body and therefore they are basic parameters in hyperthermia cancer treatment. Measurement of the dielectric parameters of biological tissues is also a promis- ing method in the medical diagnostics and imaging. Knowledge of the complex permittivity in an area under treatment, i.e., knowledge of the complex permittivity of healthy and tumor tissue, is very important for example in the diagnosing of tumor cell-nests in the human body or in the design of thermo-therapeutic applicators which transform electromagnetic energy into thermal in the pathological tissue (1).
Egg consumption in relation to risk of cardiovascular disease and diabetes: a systematic review and meta-analysis.

BACKGROUND The associations of egg consumption with cardiovascular disease (CVD) and diabetes are still unclear. OBJECTIVE We aimed to quantitatively summarize the literature on egg consumption and risk of CVD, cardiac mortality, and type 2 diabetes by conducting a meta-analysis of prospective cohort studies. DESIGN A systematic literature review was conducted for published studies in PubMed and EMBASE through March 2012. Additional information was retrieved through Google or a hand review of the reference from relevant articles. Studies were included if they had a prospective study design, were published in English-language journals, and provided HRs and 95% CIs for the associations of interest. Data were independently extracted by 2 investigators, and the weighted HRs and 95% CIs for the associations of interest were estimated by using a random-effects model. RESULTS A total of 22 independent cohorts from 16 studies were identified, including participants ranging in number from 1600 to 90,735 and in follow-up time from 5.8 to 20.0 y. Comparison of the highest category (≥1 egg/d) of egg consumption with the lowest (<1 egg/wk or never) resulted in a pooled HR (95% CI) of 0.96 (0.88, 1.05) for overall CVD, 0.97 (0.86, 1.09) for ischemic heart disease, 0.93 (0.81, 1.07) for stroke, 0.98 (0.77, 1.24) for ischemic heart disease mortality, 0.92 (0.56, 1.50) for stroke mortality, and 1.42 (1.09, 1.86) for type 2 diabetes. Of the studies conducted in diabetic patients, the pooled HR (95% CI) was 1.69 (1.09, 2.62) for overall CVD. CONCLUSIONS This meta-analysis suggests that egg consumption is not associated with the risk of CVD and cardiac mortality in the general population. However, egg consumption may be associated with an increased incidence of type 2 diabetes among the general population and CVD comorbidity among diabetic patients.
An efficient method for integer factorization

In this paper, we propose an efficient method for integer factorization and it can be a good solution to sieving part of General Number Field Sieve. The mid-size integer factorization module adopts highly parallel structure to save operation time to a great extent. The algorithm used in the factorization module is another highlight that only involves the basic arithmetic operations, which makes for hardware implementation. The major goal of the proposed method is to optimize performance on the aspects of operation time, implemented hardware algorithm and storage space. Additionally, the proposed implementation has absolute advantage at operation speed based on FPGAs, which is of crucial importance for large integer factorization.
Ca2+ transport and signalling in enamel cells

Dental enamel is one of the most remarkable examples of matrix‐mediated biomineralization. Enamel crystals form de novo in a rich extracellular environment in a stage‐dependent manner producing complex microstructural patterns that are visually stunning. This process is orchestrated by specialized epithelial cells known as ameloblasts which themselves undergo striking morphological changes, switching function from a secretory role to a cell primarily engaged in ionic transport. Ameloblasts are supported by a host of cell types which combined represent the enamel organ. Fully mineralized enamel is the hardest tissue found in vertebrates owing its properties partly to the unique mixture of ionic species represented and their highly organized assembly in the crystal lattice. Among the main elements found in enamel, Ca2+ is the most abundant ion, yet how ameloblasts modulate Ca2+ dynamics remains poorly known. This review describes previously proposed models for passive and active Ca2+ transport, the intracellular Ca2+ buffering systems expressed in ameloblasts and provides an up‐dated view of current models concerning Ca2+ influx and extrusion mechanisms, where most of the recent advances have been made. We also advance a new model for Ca2+ transport by the enamel organ.