Miracle-dz/UniFAR-FTUs huggingface dataset:
Physiotherapeutic Interventions for Breast Cancer Related Lymphedema in Women: A Review Study

The commonest cancer found in the females is breast cancer where the treatment following the chemotherapy, surgery and radiation therapy leading to the post-surgical complication known as breast cancer related lymphedema where this complication can arise at any age post-surgical treatment. This lymphedema needs to managed and prevented as this is unable to be cured. Lymphedema measuring is essential to prevent and maintain it so it can be followed with the help of various methods either by volume difference or the circumferential difference. The role of the physiotherapy arises where there are various techniques which includes manual lymphatic drainage, compression bandaging, kinesio-taping, intermittent pneumatic compression, compression sleeves, low level laser therapy, exercises and complex decongestive therapy. In this study many articles were reviewed from various systematic reviews, metaanalysis, randomized control trials and many more. Studies were congregated from different scientific platforms like google scholars, PubMed, Science direct and Research gate. In this study 100 articles were culled and scrutinized from which the 76 articles were meeting the inclusion criteria. The review articles derived that the combination therapy works better in several studies as the individual therapy in various studies came to be not so much as significant or having placebo effect, that is either altering the volume change or no change but leading to the better quality of life and volume difference. Therefore, the complex decongestive therapy came to be more significant in case of management as the concerted and maintenance phase results better following by the low-level laser therapy.
Biophysical and computational investigations into G-quadruplex structural polymorphism and interaction with small molecules.

S & POSTERS: Huy T. Le, William L. Dean, Robert Buscaglia, Jonathan B. Chaires and John O. Trent. “Predicting G-Quadruplex Folding Topologies Using Hydrodynamic Bead Modeling. ” Midwest Meeting of the American Physician Scientists Association. Columbus, OH, 2013. Huy T. Le, William L. Dean, Robert Buscaglia, Jonathan B. Chaires and John O. Trent. “An Investigation of G-Quadruplex Structural Polymorphism Using a Combined Approach of Hydrodynamic Bead Modeling and Molecular Dynamics Simulation. ” Research! Louisville. Louisville, KY, 2013. Nicholas Siow, Yidi Huang, Huy T. Le, Jonathan M. Maguire and John O. Trent “Automated G-Quadruplex Generation: From Sequence To Structure. ” Research! Louisville. Louisville, KY, 2013. Yidi Huang, Nicholas Siow, Huy T. Le, Jonathan M. Maguire and John O. Trent. “LoopGen: Modeling Connecting Loops in Unimolecular G-Quadruplexes. ” Research! Louisville. Louisville, KY, 2013. Huy T. Le, William L. Dean, Robert Buscaglia, Jonathan B. Chaires and John O. Trent. “Calculations of Hydrodynamic Properties for G-Quadruplex Nucleic Acids Using Bead Modeling. ” Department of Biochemistry and Molecular Biology Retreat. Louisville, KY, 2013.
A review of the effect of a Walker ankle-foot orthosis on gait biomechanics in healthy individuals

Walker orthoses are one of the most popular substitutes to regular cast. They are used by people who have experienced acute trauma to the ankle complex. This review aimed to summarize and update information on the currently published research explicitly related to the application of ankle-foot orthoses and to help improve the understanding of how orthoses influence gait pattern, in particular the kinematics, kinetics, and muscle activity parameters. A review of papers published from 1999 to 2019 was conducted. The databases searched included PubMed Central, PubMed, ScienceDirect and EBSCO, a total of 546 articles were found. The review is based on 11 articles that were selected for further analysis. Kinematics parameters were described in 8 papers, kinetics parameters in 6 papers, the effect of a Walker orthosis on muscle activity in 2 papers, and the effects of a Walker boot on energy cost, pain and balance were discussed in 3 papers. A Walker orthosis significantly reduces ankle joint motion and significantly reduces lower leg muscle activity. On the other hand, it may cause secondary site pain due to leg length differences and increase in energy expenditure. A Walker orthosis is a useful tool replacing total contact casts and allowing earlier weight bearing and rehabilitation. It is important to use it for the shortest possible period of time and to always use compensation of leg length discrepancy.
A Novel Approach for Oil-immersed High Voltage Power Transformer Dissolved Gas Analysis Diagnostic techniques

This essay introduces and analyzes the dissolved gases in the insulating oil of power transformers. Analysis of soluble and free gas is one of the most commonly used troubleshooting methods for detecting and evaluating equipment damage. Although the analysis of oil-soluble gases is often complex, it should be expertly processed during maintenance operation. The destruction of the transformer oil will produce some hydrocarbon type gases. The development of this index is based on two examples of traditional evaluation algorithms along with fuzzy logic inference engine. Through simulation process, the results of the initial fractures in the transformer are obtained in two ways by the "Duval Triangle" and "Rogers ratios". In continue, three digit codes containing the fault information are created based on the fuzzy logic inference engine to achieve better results and eliminate ambiguous zones in common methods especially in Duval Triangle method. The proposed method is applied to 80 real transformers to diagnose the fault by analyzing the dissolved oil based on fuzzy logic. The results illustrate the proficiency of this new proposed algorithm. Finally, with utilization of a neural network the new practical inference function is derived to make the algorithm more usable in online condition monitoring. Index Terms — Power transformer, Fault diagnosis, DGA, Fuzzy Logic, neural network.
3D Printing Applications for Radiology: An Overview

Abstract Three-dimensional (3D) printing technologies are part of additive manufacturing processes and are used to manufacture a 3D physical model from a digital computer-aided design model as per the required shape and size. These technologies are now used for advanced radiology applications by providing all information through 3D physical model. It provides innovation in radiology for clinical applications, treatment planning, procedural simulation, medical and patient education. Radiological advancements have been made in diagnosis and communication through medical digital imaging techniques like computed tomography, magnetic resonance imaging. These images are converted into Digital Imaging and Communications in Medicine in Standard Triangulate Language file format, easily printable in 3D printing technologies. This 3D model provides in-depth information about pathologic and anatomic states. It is useful to create new opportunities related to patient care. This article discusses the potential of 3D printing technology in radiology. The steps involved in 3D printing for radiology are discussed diagrammatically, and finally identified 12 significant applications of 3D printing technology for radiology with a brief description. A radiologist can incorporate this technology to fulfil different challenges such as training, planning, guidelines, and better communications.
Roll-to-roll graphene films for non-disposable electrocardiogram electrodes

Graphene has good electrical properties, flexibility, and biocompatibility, making it an ideal material to monitor electrocardiogram (ECG) signals. However, the production cost and the feasibility of large-scale production limit the application of graphene electrodes. Here, we demonstrate a roll-to-roll (R2R) method to transfer graphene grown by open-R2R chemical vapor deposition onto an ethylene vinyl acetate/polyethylene terephthalate (EVA/PET) substrate to make non-disposable ECG electrodes. This method can produce a continuous graphene/EVA/PET film with 15 cm width, and the length can reach several meters. The graphene/EVA/PET film has excellent flexibility and transparency (75.08% transmittance at 780 nm). Compared with commercial silver/silver chloride (Ag/AgCl) electrodes, R2R graphene electrodes have lower electrode–skin impedance below 1 kHz and can obtain ECG signals with similar performance to Ag/AgCl electrodes. Besides, R2R graphene electrodes have good washability. After ten times cleaning, the resistance of the R2R graphene electrode only increased by 23.2%, which was lower than that of the previous graphene electrodes. This work has great potential in the long-term and real-time healthcare monitoring system.
Vitamin D deficiency in diabetes alters the aortic media thickness but not its

This study aimed to determine the effects of a vitamin D deficiency on aortic functional and structural properties in diabetic rats. Diabetic rats were induced with 50 mg/kg streptozotocin and divided into two equal groups: diabetic rats on a normal diet (DR) and diabetic rats on a vitamin D-deficient diet (DRD). Non-diabetic rats that received a normal diet were the controls (CR). At the end of 10 weeks, rats were sacrificed and aortic rings with and without the endothelium were studied in tissue organ baths for isometric force measurements. Histology of aortic tissue was performed to determine the intima-media thickness. Serum levels of 25-hydroxyvitamin D in the DRD group were significantly decreased compared to the CR and DR groups. Acetylcholine-induced endothelium-mediated relaxation was significantly impaired in DR and DRD compared to CR. Endothelium-dependent contraction to calcium ionophore was significantly augmented in DR and DRD aortas compared to CR. The responses to acetylcholine and calcium ionophore were similar in DRD and DR. There were no significant differences in relaxation to sodium nitroprusside or contraction to phenylephrine between aortas of the groups. The intima-media thickness was significantly greater in the DR group compared to the CR group, and this structural change was augmented in aortas of the DRD group. In conclusion, this study showed that endothelial function was impaired with diabetes, and a vitamin D deficiency did not aggravate endothelial dysfunction. However, diabetes with a vitamin D deficiency demonstrated smooth muscle hypertrophy and an increased aortic media thickness.
Combined Differential Beamforming With Uniform Linear Microphone Arrays

While differential beamformers have been widely used in voice communication and human-machine speech interface systems to enhance speech signals of interest, how to design such beamformers that on the one hand can achieve the highest possible directivity factor (DF) and on the other hand are able to obtain a certain level of white noise gain (WNG), so that they are robust enough to sensors’ self noise and array imperfections is still a challenging issue. This paper studies the problem of robust differential beamforming with small-size arrays to achieve a high DF. It presents a method for the design of differential beamformers with uniform linear arrays. We first generate differential pressure signals by applying the recently developed forward spatial difference operator to the outputs of the array with pressure sensors. The pressure microphone observation signals and the differential pressure signals are then put together, and a combined beamformer is subsequently designed, which consists of two subbeamformers, one operates on the pressure microphone observations and the other on the differential pressure signals. A new class of combined differential beamformers are introduced, which can achieve different levels of compromises between DF and WNG using an adjustable parameter.
The effects of coping strategies and relaxation exercises on anxiety, hopelessness, life satisfaction, and well-being in the elderly people with diabetes: an experimental study

Aim: The aim of this study was to investigate the effects of coping strategies and relaxation exercises on anxiety, hopelessness, life satisfaction, and well-being in elderly people with diabetes.Materials and Methods: A total of 30 participants were randomly assigned to three experimental conditions. In the first condition, the participants were informed about diabetes as well as how to cope with it. In the second condition, the participants were provided with breathing and relaxation exercises, which were accompanied by relaxing music, in addition to informing about diabetes and coping strategies. The control group was only informed about diabetes. The data were analyzed by ANOVA with 3 x 2 last factors repetitive.Results: There was no difference between the conditions in terms of state anxiety, hopelessness and life satisfaction scores (p>0.05), but the difference after the intervention was significant (p0.05). According to the Scheffe test, a) status anxiety score was determined between the first condition and the control group; b) life satisfaction score was significantly different between the first condition and second condition and between the second condition and control group. Significant differences were also found between pre-and post-intervention concerning anxiety, hopelessness and life satisfaction scores. Conclusions: Findings suggest that explaining the methods of coping with diabetes can decrease the level of state anxiety, and the addition of breathing and relaxation exercises can enhance life satisfaction.
Spike timing-based unsupervised learning of orientation, disparity, and motion representations in a spiking neural network*

Neuromorphic vision sensors present unique advantages over their frame based counterparts. However, unsupervised learning of efficient visual representations from their asynchronous output is still a challenge, requiring a re-thinking of traditional image and video processing methods. Here we present a network of leaky integrate and fire neurons that learns representations similar to those of simple and complex cells in the primary visual cortex of mammals from the input of two event-based vision sensors. Through the combination of spike timing-dependent plasticity and homeostatic mechanisms, the network learns visual feature detectors for orientation, disparity, and motion in a fully un-supervised fashion. We validate our approach on a mobile robotic platform.
Application of QM and MM methodologies to cytochrome c3: charge parametrization of the heme group for classic force fields

In 2009, Machuqueiro and Baptista used Desulfovibrio vulgaris Hildenborough type I cytochrome c3 in the validation of their new implementation of the stochastic titration method, the constant-(pH,E) MD method. DvH-TpI-c3 is a small globular and monomeric tetraheme protein present in the periplasm of the sulfate reducing bacteria DvH. It is constituted by 107 residues plus four hemes covalently bound to cysteines in the polypeptide chain together with bis-histidinyl axial ligation. Therefore, it constitutes a tight densely packed structure where the heme reduction potentials are very close, making it a very demanding test case in terms of prediction. When tested, this method was shown to yield better results when a high dielectric constant, ε, was assigned to the protein region. This dependence on ε was never found in previous constant-pH MD simulations and poor heme charge parametrization may have been responsible for this effect. Hence, the main goal of this work was to refine the QM parametrization of the redox centers, i.e. obtain new and more accurate charge sets, incorporate them in the new 53A6 GROMOS force field, and finally run constant-(pH,E) MD simulations with a ε of 2. Single and multiconformational approaches were tested using the RESP scheme. Merz-Kollman and CHELPG methods were also used. All tested charge sets and respective charge parametrization methods were found to be valid, and there is not enough margin to unequivocally select one method as the absolute best. Still, the RESP fitting procedure is much more versatile than CHELPG and Merz-Kollman, making it a better suited tool for a generalized derivation of partial atomic charges. When applied to the constant-(pH,E) MD method, these new and more accurate charge sets, enabled us to improve Machuqueiro and Baptista’s results. We were, however, unsuccessful in fully reproducing all experimental data. Theoretical and experimental results systematically disagreed when predicting the Ehalf values for hemes III and IV. The reason behind this incongruity is something we plan to investigate in future work.
Learning a Facial Expression Embedding Disentangled from Identity

The facial expression analysis requires a compact and identity-ignored expression representation. In this paper, we model the expression as the deviation from the identity by a subtraction operation, extracting a continuous and identity-invariant expression embedding. We propose a Deviation Learning Network (DLN) with a pseudo-siamese structure to extract the deviation feature vector. To reduce the optimization difficulty caused by additional fully connection layers, DLN directly provides high-order polynomial to nonlinearly project the high-dimensional feature to a low-dimensional manifold. Taking label noise into account, we add a crowd layer to DLN for robust embedding extraction. Also, to achieve a more compact representation, we use hierarchical annotation for data augmentation. We evaluate our facial expression embedding on the FEC validation set. The quantitative results prove that we achieve the state-of-the-art, both in terms of fine-grained and identity-invariant property. We further conduct extensive experiments to show that our expression embedding is of high quality for expression recognition, image retrieval, and face manipulation.
Apoptotic effect of Belinostat (PXD101) on MCF-7 cancer cells

Aim: Breast cancer continues to be the most common type of cancer among women. Recent development in epigenomics has highlighted key mechanisms in which epigenetic regulation contributes to cancer treatment. Epigenetic modulating drugs promises novel approaches targeting cancer treatment. Belinostat is a histone deacetylase inhibitor approved by the U.S. Food and Drug Administration (FDA) in 2014 for the T-cell lymphoma. This study aimed to investigate the apoptotic effects of Belinostat on MCF-7 cells. Materials and Methods: For this purpose, The IC50 value of Belinostat was determined by XTT assay and the apoptotic effect of Belinostat on MCF-7 cells was evaluated. Expression of apoptosis-related genes including Caspase 3 (CASP3), CASP9, apoptotic protease activating factor-1 (APAF-1) and tumor protein P53 (P53) were evaluated by quantitative Real-Time PCR. Results: The IC50 dose of Belinostat was determined as 5 μM for 48 h. The results of study showed that Belinostat administration decreased the number of cancer cells in the MCF-7 cell population and down regulated the gene expression of apoptosis-related genes. Conclusion: Results indicated that Belinostat, can be considered as an option in the treatment of breast cancer. It is considered that it would be more beneficial to perform more sophisticated in vivo and in vitro studies about apoptotic effect of Belinostat.
Effects of Different Energy Intensities of Microwave Treatment on Heartwood and Sapwood Microstructures in Norway Spruce

Microwave modification can increase the permeability of wood by delaminating and rupturing its anatomical microstructures at their weak points. A high degree of intensity of microwave modification can cause significant structural damage to the microstructures of wood, resulting in poorer strength properties. The objective of this study was to evaluate the changes in the anatomical structure of Norway spruce (Picea abies (L.) Karst. ) heartwood and sapwood after microwave modification in order to develop the most effective treatment in terms of applied energy without causing significant structural damage. Analysis with light and scanning electron microscopy were performed to evaluate the effect of microwave treatment for two different energy intensities, moderate and high intensity. The results indicated structural changes in the tracheid cells. Microscopy showed varying degrees of modification within the wood microstructure, with the heartwood samples showing a greater anatomical distortion compared to their sapwood counterparts. Furthermore, the samples were subjected to pycnometric density measurements, which indicated a reduction in skeletal and absolute density after microwave modification, for both high and moderate intensity treatment on sapwood and heartwood samples. With increasing microwave energy, a gradual increase in specific pore volume and porosity percentage of the samples were also detected.
APPRAISAL OF FAMILIARITY WITH CONTENT: ITS RELATIONSHIP WITH DIMENSIONS OF EMOTIONAL EXPERIENCE

The aim of this study was to examine the relationship between the dimensions of the emotional experience (valence and arousal), the quality of emotions (happiness, sadness, fear, anger, surprise, and disgust), and the appraisal of familiarity with content. Ninety-two participants assessed how familiar the content of the 40 photographs were to them. The photographs were selected from the NAPS database and systematically varied along the dimensions and qualities of the emotional experience. Statistically significant correlations were obtained between the appraisal of familiarity and the dimensions of the emotional experience. The correlation of familiarity appraisal with arousal was negative, unlike findings from earlier studies. Significant positive correlation with happiness and negative correlations with sadness, fear, surprise, anger, and disgust were also found.
In the Land of Data Streams where Synopses are Missing, One Framework to Bring Them All

In pursuit of real-time data analysis, approximate summarization structures, i.e., synopses, have gained importance over the years. However, existing stream processing systems, such as Flink, Spark, and Storm, do not support synopses as first class citizens, i.e., as pipeline operators. Synopses' implementation is upon users. This is mainly because of the diversity of synopses, which makes a unified implementation difficult. We present Condor, a framework that supports synopses as first class citizens. Condor facilitates the specification and processing of synopsis-based streaming jobs while hiding all internal processing details. Condor's key component is its model that represents synopses as a particular case of windowed aggregate functions. An inherent divide and conquer strategy allows Condor to efficiently distribute the computation, allowing for high-performance and linear scalability. Our evaluation shows that Condor outperforms existing approaches by up to a factor of 75x and that it scales linearly with the number of cores.
Modelling and Control of Non-isolated Efficient Boost Converter with Compact Storage Elements

Energy Storage systems (ESS) is of major concern in grid connected systems. The energy derived from renewable energy sources has to be lifted up and should be stored in ESS. Therefore there is a need to develop a boost converter with high performance and less volume. In this paper a 400W Compact Boost Converter (CBC) is designed and control transfer functions are obtained using Small Signal Modelling (SSM). A hardware prototype and controller using aurdino is developed and implemented. The performance of the controller is validated for any load disturbances. The voltage and current ripple of CBC is one half that of conventional Boost converter. The efficiency of the converter is also increased by 2%.