Miracle-dz/UniFAR-FTUs huggingface dataset:
Needling Combined with Intralesional Corticosteroid Injections Compared to Intralesional Botulinum Toxin A Injections in the Treatment of Hypertrophic Scars and Keloids

Introduction: Scar formation is an inevitable consequence of wound healing from either a traumatic or a surgical intervention in which the normal skin is replaced by a fibrous tissue, although Scar formation is beneficial in wound healing, it can lead to cosmetic problems, psychological and financial issues. Material and Method: Forty patients were divided into two groups, Group A was subjected to needling technique followed by intralesional injection of triamicinolone acetonide (40 mg/ml) in the same session once/month for three months, while group B was subjected to intralesional botulinum toxin A injection once/month for three months. An independent physician evaluator assessed the treatment outcomes using Vancouver Scar Scale (VSS) and Quartile grading scale (slight improvement: 0% to 25%; moderate: 25% to 50%; significant: 50% to 75%; marked: 75% to 100% improvement). Results: There were statistically significant differences between the 2 groups as regards the VSS (p=0.023). Average percentage changes of VSS were 84.47% ± 14.34% in group A while was 72.71% ± 14.60% in group B. Improvement was evident as regards vascularity, pliability, height and pigmentation in both groups after treatment with better results in group A. Patient’s subjective satisfaction scores paralleled the physician’s objective evaluation. Conclusion: Microneedling combined IL-CST injection is safe and effective modality and its results was superior to IL-BTA in the treatment of HTSs and keloids.
Determination of In-Cab Sound Paths Using Sound Intensity

To determine appropriate treatments to reduce the airborne sound paths into a vehicle’s interior, information regarding the contribution of each path to the interior sound level and the spectrum is required . Historically, this has been determined through windowing studies. In this type of study, all of the potential sound paths are treated with heavy decoupled barrier materials. Sound levels are then measured with the vehicle operating and then with one treatment area at a time removed (a window is opened letting sound enter from one area). At the conclusion of the tests, the contribution from each area to the sound level at a measurement position is known. In this paper, we present an alternate measurement method that combines sound intensity measurements with limited windowing. Here, the major noise paths are treated similar to the windowing process, but now the sound power of each open window is measured using sound intensity. The sound power is then propagated to receiver locations based on the in-cab room constant. By using this technique, the number of windowing treatments can be reduced, which significantly reduces the testing time. This technique also makes it easier to model the effects of adding interior sound absorption.
Title Scale Invariance without Scale Selection Permalink

In this work we construct scale invariant descriptors (SIDs) without requiring the estimation of image scale; we thereby avoid scale selection which is often unreliable. Our starting point is a combination of Log-Polar sampling and spatially-varying smoothing that converts image scalings and rotations into translations. Scale invariance can then be guaranteed by estimating the Fourier Transform Modulus (FTM) of the formed signal as the FTM is translation invariant. We build our descriptors using phase, orientation and amplitude features that compactly capture the local image structure. Our results show that the constructed SIDs outperform state-of-the-art descriptors on standard datasets. A main advantage of SIDs is that they are applicable to a broader range of image structures, such as edges, for which scale selection is unreliable. We demonstrate this by combining SIDs with contour segments and show that the performance of a boundary-based model is systematically improved on an object detection task.
The ABA 392 / pET 30 a protein of Pasteurella multocida provoked mucosal immunity against HS disease in a rat model

Haemorrhagic septicaemia (HS) is a well-known high fatality septicaemic disease happening among bovines. The disease is caused by the Pasteurella multocida serotype B:2 bacteria. P. multocida B:2 has high mortality and morbidity rates and is spread through the intranasal and oral routes in bovines. In this study, our aim was to investigate the efficacy of the recombinant protein vaccine, ABA392/pET30a via intranasal inoculation by targeting the mucosal immunity. The constructed recombinant protein vaccine ABA392/pET30a was subjected to an animal study using Sprague Dawley rats. The study was divided into two parts: active and passive immunization studies. Both studies were carried out through the determination of immunogenicity (using Total White Blood Cell (TWBC) Count with Indirect ELISA) and histopathogenicity, analyzing (Bronchus Associated Lymphoid Tissue (BALT) formation) in lungs. As a result, the IgA and IgG development of both tested groups: group 1 (50μg/mL protein vaccine) and group 2 (100μg/mL protein vaccine) showed equivalent with the positive control group 4 (formalin-killed P. multocida B:2). However, there was a significant difference when compared with the negative control group 3 (normal saline). These results demonstrate that both the protein vaccine at the concentration 50μg/mL and 100μg/mL have the same efficacy as the commercially available positive control vaccine. From the studies, higher concentration of protein vaccine at 100μg/mL showed higher development of both IgA and IgG compared to 50μg/mL protein vaccine. Higher and rapid development of IgA compared to IgG showed that mucosal immunity has been induced through the intranasal administration of the protein vaccine. In addition, leucocytosis was observed at each dose of vaccination showed that the protein vaccine is capable to induce the immune responses of the host. Histopathogenicity studies of the vaccinated groups showed more BALT formation and no severe lesions after challenge compared to the negative control group. Besides, no inflammatory onsite or anaphylactic responses were observed after the intranasal inoculation which proved to be safer and provided longer lasting immunity. Therefore, recombinant protein vaccine ABA392/pET30a could be a potential candidate for intranasal administration which can provoke mucosal immunity against HS disease.
Alpha-tocopherol value added Brassica juncea : fortified human nutrition and abiotic stress tolerance to the plant

Of the eight different forms of vitamin E, α-tocopherol is the most biologically active, and is preferentially retained by the human body. α-tocopherol intake in excess of the recommended daily allowance is implicated in decreasing the risk of several types of cancers, coronary heart disease and a number of degenerative human conditions. Also, α-tocopherol, a lipid soluble compound is considered to play an important role as an antioxidant, protecting the integrity of the cellular membranes under normal and stress conditions. Edible oils that are the major source of vitamin E are poor in α-tocopherol content although its immediate precursor γ-tocopherol is present in large amounts. This study describes a successful attempt at enriching the human diets with natural α–tocopherol along with fortifying the antioxidant defense of the plants by taking recourse to genetic engineering of an important oilseed crop, Brassica juncea. γ-tocopherol methyl transferase (γ-TMT) c-DNA from Arabidopsis thaliana, coding for the enzyme catalyzing the conversion of the γ-tocopherol to α-tocopherol, was overexpressed in B. juncea plants. The successful integration of the transgene was confirmed by PCR and Southern blot analysis, while the enhanced transcript level was evident in the Northern blot analysis. HPLC analysis of the seeds of the transgenic lines showed a shift in tocopherol profile with the highest overexpressors having α-tocopherol levels as high as six fold over the non-transgenic controls. The transgenic B. juncea plants also showed enhanced tolerance to abiotic stress in comparison to the untransformed control. The study discusses the production of a transgenic oilseed crop with 6-fold higher α -tocopherol levels, that can withstand abiotic stress and can provide a feasible, innocuous and inexpensive way of taking the beneficial effects of high α -tocopherol intakes to the masses.
Spill the Beans: Extrospection of Internet of Things by Exploiting Denial of Service

Internet of Things (IoT) exposes various vulnerabilities at diﬀerent levels. One such exploitable vulnerability is Denial of Service (DoS). In this work, we focus on a large-scale extensive study of various forms of DoS and how it can be exploited in diﬀerent protocols of IoT. We propose an attack and defense framework called OWL which is tailored for IoT and that can perform various forms of DoS on IP, Bluetooth, and Zigbee devices. We consider various DoS vulnerabilities such as illegitimate packet injection, Bluetooth Low Energy (BLE) scanning attack, Zigbee frame counter-attack, etc., regarding IP, Bluetooth and Zigbee devices. To understand how resilient is IoT for DoS, we propose two new metrics to measure the Resilience and the Quality of Service (QoS) degradation in IoT. We have conducted large-scale experimentation with real IoT devices in our security IoT testbed. The experiments conducted are for DoS, Distributed Denial of Service (DDoS) by setting up Mirai and Permanent Denial of Service (PDoS) using BrickerBot on various IoT devices. We have also compared our framework with the existing state of the art tools.
Morphological Integration of theModern HumanMandible during Ontogeny

Craniofacial integration is prevalent in anatomical modernity research. Little investigation has been done on mandibular integration. Integration patterns were quantified in a longitudinal modern human sample of mandibles. This integration pattern is one of modularization between the alveolar and muscle attachment regions, but with age-specific differences. The ascending ramus and nonalveolar portions of the corpus remain integrated throughout ontogeny. The alveolar region is dynamic, becoming modularized according to the needs of the mandible at a particular developmental stage. Early in ontogeny, this modularity reflects the need for space for the developing dentition; later, modularity is more reflective of mastication. The overall pattern of modern human mandibular integration follows the integration pattern seen in other mammals, including chimpanzees. Given the differences in craniofacial integration patterns between humans and chimpanzees, but the similarities in mandibular integration, it is likely that the mandible has played the more passive role in hominin skull evolution.
Panel Data Regression and Support Vector Regression for Analysing Indonesian Private External Debt

Indonesian corporations have been borrowing large sums of money from foreign investors to such an extent in the past decade that the private debt ratio had reached 49% of Indonesia’s total external debt by the end of 2017. Although this borrowing improved the performance of the firms involved and led to an increase in profits, it also resulted in debt value expansion, due to a trend of depreciating exchange rates in Indonesia. This paper employs Support Vector Regression, a machine-learning method, to study the relationship between factors which could affect corporate performance and compares the results with those obtained using the conventional panel data regression method. The study was carried out using data from the annual financial statements of 189 firms in Indonesia during the period 2011-2017. -------------------------------------------------------------------------------------------------------------------------------------Date of Submission: 26-04-2019 Date of acceptance: 11-05-2019 -------------------------------------------------------------------------------------------------------------------------------------------------
Learning to Map the Visual and Auditory World

OF DISSERTATION Learning to Map the Visual and Auditory World The appearance of the world varies dramatically not only from place to place but also from hour to hour and month to month. Billions of images that capture this complex relationship are uploaded to social-media websites every day and often are associated with precise time and location metadata. This rich source of data can be beneficial to improve our understanding of the globe. In this work, we propose a general framework that uses these publicly available images for constructing dense maps of different ground-level attributes from overhead imagery. In particular, we use well-defined probabilistic models and a weakly-supervised, multi-task training strategy to provide an estimate of the expected visual and auditory ground-level attributes consisting of the type of scenes, objects, and sounds a person can experience at a location. Through a large-scale evaluation on real data, we show that our learned models can be used for applications including mapping, image localization, image retrieval, and metadata verification.
of Mathematics And its Applications Two-Fluid Dark Energy Cosmological Models In Saez-Ballester Theory of Gravitation

The present paper deals with cylindrically symmetric metric in the form of Marder (1958) with Saez-Ballester theory of gravitation in the presence of perfect fluid and dark energy. In order to obtain the deterministic solution of the field equations we have assumed that the expansion scalar in the model is proportional to the Eigen value of the shear tensor. We have also assumed that the two sources, here the perfect fluid and dark energy interact minimally with separate conservative parts of their energy momentum tensors together with the constant EoS parameter of the perfect fluid. The role of the dark energy in the present model with variable equation of state parameter is studied more in detail. Some physical properties of model are also discussed. MSC: 83DXX, 83FXX.
Retraction Retracted : Growth Responses and Leaf Antioxidant Metabolism of Grass Pea ( Lathyrus sativus L . ) Genotypes under Salinity Stress International

International Scholarly Research Notices has retracted the article titled “Growth Responses and Leaf Antioxidant Metabolism of Grass Pea (Lathyrus sativus L.) Genotypes under Salinity Stress” [1]. The article was found to contain images with signs of duplication andmanipulation in Figures 5(a), 5(b), 6(a), and 6(b), and duplication from Talukdar D. Plant Growth and Leaf Antioxidant Metabolism of Four Elite Grass Pea (Lathyrus sativus) Genotypes, Differing in Arsenic Tolerance. Agric Res (2013) 2: 330. doi:10.1007/s40003-0130085-3 in Figure 6.
TOWARDS LONG-TERM SIMULATIONS OF TIDAL INLETS: PERFORMANCE ANALYSIS AND APPLICATION OF A PARTIALLY PARALLELIZED MORPHODYNAMIC MODELING SYSTEM

The ability to simulate and forecast the long-term dynamics of tidal inlets/lagoons is fundamental to assess the social, ecological and economical impacts of both human interventions and climate changes. Portuguese coast s exhibit many complex and contrasting tidal inlets and, due to their strong dynamics, ass ociated to a severe wave climate and a mesotidal range, the prediction of their evolution rema ins a challenging task.
Use of gene targeting for compromising energy homeostasis in neuro-muscular tissues: The role of sarcomeric mitochondrial creatine kinase

We have introduced a single knock-out mutation in the mitochondrial creatine kinase gene (ScCKmit) in the mouse germ line via targeted mutagenesis in mouse embryonic stem (ES) cells. Surprisingly, ScCKmit—/ — muscles, unlike muscles of mice with a deficiency of cytosolic M-type creatine kinase (M-CK —/ — ; Van Deursen et al. (1993) Cell 74, 621-631), display no altered morphology, performance or oxidative phosphorylation capacity. Also, the levels of high energy phosphate metabolites were essentially unaltered in ScCKmit mutants. Our results challenge some of the present concepts about the strict coupling between CKmit function and aerobic respiration.
INVITED SYMPOSIA ORGANIZERS

Deep learning networks have shown impressive performance in object recognition. We used the classification image method to probe whether a deep learning model employs the same features as humans in perceiving real and illusory contours. We adopted a deep learning network, pre-trained with natural images, and retrained the decision layer with laboratory stimuli to perform shape discrimination in the “fat/thin” task. We tested the network with real and illusory contour stimuli contaminated with luminance noise. We found that deep networks trained on natural images can be readily adapted to discriminate between psychophysical stimuli with an extremely high degree of accuracy. However, deep learning networks do not appear to represent illusory contours where they may aid performance in the fat/thin task, a process automatically performed in human vision. This divergence indicates an important difference between the kinds of visual representations formed by deep networks and by humans.
Childhood violence , exposure to parental violence and alcohol dependence / abuse in adulthood *

Corresponding author: Daniela Viganó Zanoti-Jeronymo E-mail: danielazanoti@uol.com. brr https://orcid.org/0000-0002-6131-3890 * Paper extracted from doctoral dissertation, “Associação entre história de violência sofrida na infância e transtornos relacionados ao uso de álcool na idade adulta”, presented to Universidade Federal de São Paulo, Escola Paulista de Medicina, São Paulo, SP, Brazil. 1 Universidade Estadual do Centro Oeste, Centro de Ciências da Saúde, Guarapuava, PR, Brazil. 2 Universidade Federal de Santa Catarina, Centro de Ciências da Saúde, Florianópolis, SC, Brazil. 3 Universidade Federal de São Paulo, Escola Paulista de Medicina, São Paulo, SP, Brazil. 4 University of Texas, School of Public Health, Dallas, TX, United States of America. Childhood violence, exposure to parental violence and alcohol dependence/abuse in adulthood*
J C A P 0 8 ( 2 0 1 6 ) 0 6 8 ournal of C osmology and A stroparticle P hysics

We extend our previous study of supersymmetric Higgs inflation in the context of no-scale supergravity and grand unification, to include models based on the flipped SU(5) and the Pati-Salam group. Like the previous SU(5) GUT model, these yield a class of inflation models whose inflation predictions interpolate between those of the quadratic chaotic inflation and Starobinsky-like inflation, while avoiding tension with proton decay limits. We further analyse the reheating process in these models, and derive the number of e-folds, which is independent of the reheating temperature. We derive the corresponding predictions for the scalar tilt and the tensor-to-scalar ratio in cosmic microwave background perturbations, as well as discussing the gravitino production following inflation.
Numerical Modeling of the Breakup Mechanism of Liquid Ligaments in Two-Phase Flow Application Using Level Set Method

The present paper introduces a numerical modeling for one of the most important problems of two-phase flows; namely the breakup mechanism of stretched liquid ligaments. The challenge problem of such complex flow is how to deal with the breakup of liquid ligaments in natural way without any constraints or numerical instability. The present modeling is based on solving the governing equations of motion in the liquid phase by the aid of the control volume strategy on a non-sta-ggered grid system. The level set function is further applied to track and capture the moving interface by using the normal velocity components located directly at the liquid interface. Some numerical test cases are performed to indicate the ability of the proposed numerical method in predicting the breakup mechanism of liquid ligaments. The obtained results showed that the developed numerical method is capable of simulating the formation and the breakup mechanism of the ligaments formed in two-phase flows without any numerical constraints.
On the inflation-uncertainty hypothesis in the USA , Japan and the UK : a dual long memory approach

We use parametric models of long memory in both the conditional mean and the conditional variance of inflation and monthly data in the USA, Japan and the UK for the period 1962–2001 to examine the relationship between inflation and inflation-uncertainty. In all countries, inflation significantly raises inflation-uncertainty as predicted by Friedman. Increased nominal uncertainty affects inflation in Japan and the UK but not in the same manner. The results from Japan support the Cukierman–Meltzer hypothesis. In the UK uncertainty surrounding the future inflation appears to have a mixed impact on inflation. # 2004 Elsevier B.V. All rights reserved. JEL classification: C22; E31
Advancing federal capacities for the early detection of and rapid response to invasive species through technology innovation

Invasive species early detection and rapid response (EDRR) actions could integrate technologies, innovation, and other outside expertise into invasive species management. From early detection by forecasting the next invasion and improved surveillance through automation, to tools to improve rapid response, the next generation of management tools for a national EDRR program could integrate advances in technologies including the small size and ubiquity of sensors, satellites, drones, and bundles of sensors (like smartphones); advances in synthetic, molecular, and micro-biology; improved algorithms for artificial intelligence, machine vision and machine learning; and open innovation and citizen science. This paper reviews current and emerging technologies that the federal government and resource managers could utilize as part of a national EDRR program, and makes a number of recommendations for integrating technological solutions and innovation into the overall Federal Government response. Recommended Citation Martinez B, Dehgan A, Zamft B, et al (2018) Advancing Federal capacities for the early detection of and rapid response to invasive species through technology innovation. National Invasive Species Council Secretariat: Washington, DC.
Swedish recreational athletes as subjects for sustainable food consumption: focus on performance and sustainability

Abstract A high food intake can contribute to increased greenhouse-gas emissions, and therefore consumers with a high energy intake are important to include when exploring sustainable foodways. In this paper, semi-structured interviews and a seven-day food record were used to understand the climate impact of food, analyse mundane food practices, and identify sustainable routines among high-energy consumers represented by a group of recreational athletes. Social practice theory and the interdependent relationship between competence, material, and meaning unfold an Athletic performance-related food practice with a focus on performance, time-saving strategies, structured eating, and a possible Climate-conscious athletic performance-related food practice where the food practice also includes important sustainability aspects. The results indicate a high carbon footprint from high energy and dairy and whey protein intake. Some recreational athletes demonstrate an awareness of the climate impact of food, but they need to be convinced that more sustainable ways are possible without jeopardising athletic performance.