Miracle-dz/UniFAR-FTUs huggingface dataset:
Kinematic analysis of powered lower limb Orthoses for gait rehabilitation of hemiplegic and hemiparetic patients

In this paper, the kinematic analysis of constructed assistive robotic leg for rehabilitation of patients who encounter the neurological injury is presented. In order to design an efficient new mechanism, studies were carried out to distinguish the human architecture and dynamics. In the study, the motion of a healthy physical subject in walking situation of 1 km/h speed was recorded. Thereafter, a novel robotic leg mechanism was developed to produce similar motion. The robotic leg is driven by a single actuator to drive both the hip and the knee joints mechanism. In order to verify the robot motion with respect to human motion, kinematic analysis of all robot's joints and links are formulated and are simulated in MATLAB software. The results obtained from the kinematic analysis of the developed assistive robotic system show that its motion conforms to the motion and dynamics of a healthy human.
Tactons in multitask environments: The interaction of presentation modality and processing code

Tactons, or vibrotactile icons, have been proposed as a means to communicate complex concepts to users and to support multitasking in environments involving numerous visual and/or auditory tasks and stimuli. This study investigated the role of processing code in the interpretation of tactons while performing concurrent visual tasks in such environments. Participants decoded tactons composed of spatiotemporal patterns of vibrations – requiring spatial processing – and interpreted one of two types of visual task stimuli – requiring either spatial or categorical processing – in a driving simulation. Compared to single-task performance, there was a significantly larger dual-task performance decrement when the tacton task was paired with the visual task requiring spatial (as compared to categorical) processing. The findings are consistent with the assertion of Multiple Resource Theory that interference between concurrent tasks is greater when these tasks involve the same processing code. They illustrate how distributing task-related information across modalities is beneficial but not sufficient to avoid task interference. A direct implication of the findings is to avoid the use of spatiotemporal tactons in environments which rely heavily on spatial processing resources, such as car cockpits or flight decks.
Low-cost, concentrated sugar production from lignocellulosic feedstocks

In the last few years, sugar is emerged as the main feedstock to derive several potential biofuels and chemicals. The cost availability of these fuels/chemicals are vastly depends on the source of sugar. Currently most of the processes are based on sugar from corn, sugar cane and sheet beets, etc. use of such food-derived raw materials is not sustainable. Lignocellulosic sugar is sustainable however is not economical compared to other food-based feedstocks. We are developing technologies to produce low-cost sugar from lignocellulosic biomass feedstocks which are not part of nation’s food supply and are readily available. Based on the pilot results, we hypothesize that sugar cost should be less than 25 cents/lb which will make it competitive with the 1 generation food based sugars.
Optimal clustering techniques for metagenomic sequencing data

Metagenomic sequencing techniques have made it possible to determine the composition of bacterial microbiota of the human body. Clustering algorithms have been used to search for core microbiota types in the vagina, but results have been inconsistent, possibly due to methodological differences. We performed an extensive comparison of six commonly-used clustering algorithms and four distance metrics, using clinical data from 777 vaginal samples across 5 studies, and 36,000 synthetic datasets based on these clinical data. We found that centroidbased clustering algorithms (K-means and Partitioning around Medoids), with Euclidean or Manhattan distance metrics, performed well. They were best at correctly clustering and determining the number of clusters in synthetic datasets and were also top performers for predicting vaginal pH and bacterial vaginosis by clustering clinical data. Hierarchical clustering algorithms, particularly neighbour joining and average linkage, performed less well, failing unequivocally on many datasets.
Online Supplement to "Performance of Skart: A Skewness- and Autoregression-Adjusted Batch-Means Procedure for Simulation Analysis" INFORMS Journal on Computing

To invoke Skart, the following user-supplied inputs are required: (i) a desired CI coverage probability 1 , where 0 < < 1; and (ii) an upper bound H on the CI half-length, where H is expressed either in absolute terms as the maximum acceptable half length, or in relative terms as the maximum acceptable fraction r of the magnitude of the CI midpoint. Figure S1 depicts a high-level flowchart of Skart, and Figure S2 contains a formal algorithmic statement of Skart.
Infertile Couples' Needs after Unsuccessful Fertility Treatment: a Qualitative Study

Introduction: Infertility is a major medical issue. Investigations and treatment of infertility are the beginning of a complex, time-consuming and stressful process for couples that may fail well. The present study explored the needs of infertile couples following treatment failure with Assisted Reproductive Technologies (ARTs). Methods: A descriptive qualitative study was conducted in an Iranian infertility center, in the Northeast of the country between April 2016 and June 2017. The researchers recruited 29 individuals including 9 couples, 9 women and two men with primary infertility through purposive sampling. The data were collected using semi-structured interviews and analyzed iteratively, using conventional content analysis with MAXQDA software. Results: The main concepts obtained from the data were classified into one theme titled: ""The need for support"" and four main categories along with their subcategories, and included the need for psychological support, the need for more useful information, the need for social support and the need to access to supplementary services. Conclusion: The findings show that following treatment failure, the infertile patients’ expressed needs and preferences were not met. Identifying and meeting their needs may help the infertile couples to deal with ARTs failure and to reach a decision about future treatment.
Prevalence of age Related Macular Degeneration in A Tertiary Care centre

Background: Age-related macular degeneration (AMD) is one of the leading cause of irreversible blindness in elderly population affecting the quality of life and there by general health. AIM: The purpose of the present study was to estimate the prevalence, risk factors and subtypes of AMD in a hospital population attending to ophthalmology outpatient department. Materials and Methods: This observational study was carried out at tertiary eye institute between November 2017 and April 2018. Newly registered patients of both the sex attending the hospital with complaints of diminution of vision for various reasons were selected for detailed ophthalmic examination and evaluation.
Anti-Oxidant and Hepatoprotective Effects of Senecio biafrae on CCl4-induced Liver Damage in Rats

Background: The present study was performed to explore whether the aqueous extract of Senecio biafrae (S. biafrae) roots provide any in vivo protective activity against carbon tetrachloride (CCl4)-induced hepatotoxicity in male albino rats. Methods: Rats (150-200 grams) were grouped into five groups (A-E) of six rats each and were treated orally for twelve days with 72 hourly administration of CCl4 (1 mL/kg) as follows: Group A received distilled water only (negative control), Group B was administered distilled water plus CCl4 (positive control), Group C was administered 400 mg/kg extract and CCl4, Group D received 200 mg/extract and CCl4, while Group E was administered standard drug (Silymarin 25mg/kg, PO). Results: Pre-treatment with the extract of S. biafrae (200 or 400mg/kg) or Silymarin (25mg/kg) caused significant restoration in the biomarkers as evaluated by reducing the levels of malondialdehyde, transaminases and elevating the levels of superoxide dismutase, catalase and glutathione peroxidase activities, which were altered by CCl4 toxicity. The extract at a dose of 400mg/kg demonstrated similar activities comparable to the standard drug (Silymarin). Conclusion: The results of this study indicate that the root extract of S. biafrae possesses hepatoprotective and anti-oxidant properties which may be due to the presence of phytochemicals in it.
Research on EPON Two-way Authenticated Encryption Scheme based on the MAC

Analyzed on the basis of the EPON network security risks that exist in the EPON network security issues,according to the two-way authenticated encryption scheme and the technology roadmap proposed two-way authentication scheme of an anti-MAC frame to eavesdropping and replay attacks,hybrid encryption.The program at no extra cost on the basis of comprehensive protection of the safety of the EPON system data,but also to meet the needs of different users,the system has certain practical significance.
Designing Sorting Networks: A New Paradigm

Designing Sorting Networks: A New Paradigm provides an in-depth guide to maximizing the efficiency of sorting networks, and uses 0/1 cases, partially ordered sets and Haase diagrams to closely analyze their behavior in an easy, intuitive manner. This book also outlines new ideas and techniques for designing faster sorting networks using Sortnet, and illustrates how these techniques were used to design faster 12-key and 18-key sorting networks through a series of case studies. Finally, it examines and explains the mysterious behavior exhibited by the fastest-known 9-step 16-key network. Designing Sorting Networks: A New Paradigm is intended for advanced-level students, researchers and practitioners as a reference book. Academics in the fields of computer science, engineering and mathematics will also find this book invaluable.
Alienation in Community and Society: Effects of Increasing Environmental Complexity

Takes a general systems approach to reconceptualize and interconnect existing theories of alienation in community and in society. Alienation is viewed as a generic term for different types of information processing disturbances of human individuals, conceived as autoietic, self‐steering and self‐referential systems. In considering the possible relationships between alienation and the community‐society continuum, regarded as a controversial and complex one, a third element, complexity itself, which exerts its influence, is introduced. The main focus is on the different kinds of alienated response that may be evoked by relatively simple versus relatively complex environments. Discusses the idealized concept of the community and describes the negative effects of idealization. Finally, addresses the question of what type of community is still feasible in the highly complex society.
Data Mining for Medical Systems: A Review

Data mining is a growing area of research that intersects with many disciplines such as Artificial Intelligence (AI), databases, statistics, visualization, and high-performance and parallel computing. The goal of data mining is to turn data that are facts, numbers, or text which can be processed by a computer into knowledge. Nowadays, the reliance of health care on data is increasing. Therefore, this paper aims to allow the readers to understand about data mining and its importance in
Sharing information and internet resources of immunological interest

Human genome project produce vast quantities of data with new sequences being added to Deoxy ribonucleic acid (DNA) databases on an average of once a minute. It is expected that over 1,000 genome will be sequenced within the next 5 to 10 years. Internet access has turned into an important part of any biological study. The extensive range of information available on the internet can save individual researcher time and energy. Detailed genomic map, abstracts, research paper and many large public databases are reachable in real time through internet. Internet is a highly useful information source as well as electronic highway to accomplish up to date knowledge in the field of research. Although multitude of data is available, research community may face insurmountable obstacle while searching information about his research work. This article is platform to assist the immunologist or biologist to get information at glance. Key words: Databases, Internet, Immunology, web resources, data mining.
Application of Parallel Algorithm Approach for Performance Optimization of Oil Paint Image Filter Algorithm

This paper gives a detailed study on the performance of image filter algorithm with various parameters applied on an image of RGB model. There are various popular image filters, which consumes large amount of computing resources for processing. Oil paint image filter is one of the very interesting filters, which is very performance hungry. Current research tries to find improvement in oil paint image filter algorithm by using parallel pattern library. With increasing kernel-size, the processing time of oil paint image filter algorithm increases exponentially. I have also observed in various blogs and forums, the questions for faster oil paint have been asked repeatedly.
PROCEDURE FOR CORRECTION OF THE ECG SIGNAL ERROR INTRODUCED BY SKIN-ELECTRODE INTERFACE

The paper presents a procedure for correction of the error of an ECG signal, introduced by the skin-ele ctrode interface. This procedure involves three main measuring -calculating stages: parametrical identification of the m athematical model of the interface, realized directly before the diagnostic measurements, registration of the signal at the output of electrodes as well as reconstru ction of the input signal of the interface. The first two stages are realized in the on-line mode, whereas the operation of signal reconstructi on presents a numerical task of digital signal processing and is re alized in the off-line mode through deconvolution of the registered signal with the transfer function of the ski n-electrode interface. The aim of the paper is to discuss in detail the procedure of parametric identification of the skin-electrode interface with the use of a computer system equipped wi th a DAQ card and LabVIEW software. The algorithm for error correction introduced by this interface is al so presented.
Cloning of GFP Tagged MYB-6 Gene: An Important Transcription Factor in Regulating Anthocyanin Biosynthesis of Daucus carota

Carrot (Daucus carota L.) a root crop belonging to Apiaceae family, is considered as economically important at the global level. The taproot of carrots exhibit a range of colours including orange, yellow, red, white and purple (Xu et al., 2017). Anthocyanins are secondary metabolites present in carrots and are responsible for enhancing cold, drought and salt tolerance. Anthocyanins also contribute towards health benefits, such as the reduction in the risk of coronary heart diseases, reduced risk of stroke, antitumor properties, anti-inflammatory effects and improved cognitive behavior (Algarra et al., 2014). Although the biological effects of anthocyanins and flavonoids are attributed to their antioxidant activity, it is also proposed that they may affect signaling pathways in International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 8 Number 05 (2019) Journal homepage: http://www.ijcmas. com
Registration of DSM data and remote sensing image based on relative phase histogram

According to the application requirement of information fusion for Digital Surface Model(DSM)data and visual remote sensing images,a two-level registration strategy based on Coherent Point Drift(CPD)algorithm and Relative Phase Histogram(RPH)was proposed to realize automatic registration of the data and images above.Firstly,Canny operator was used to extract edge points,and the extracted points were taken as inputs of CPT algorithm to implement a coarse matching and to obtain the initial matching points.Meanwhile,the scale factor was estimated.Then,the RPH,a robust descriptor characterized by invariance to image rotation and translation,was defined to represent the information of area changes.The RPH was also a scale-invariance under the support of coarse matching results.Finally,ring templates were defined in both images according to the scale factor and the fine registration of DSM data and remote sensing images was achieved by RPH measurement.Experimental results demonstrate that coarse matching results based on CPD are corrected efficiently af-ter fine registration using RPH measurement.The registration error of proposed algorithm is only about two pixels even when images have perspective distortion.These data indicate that the method can satisfy the information fusion requirement of DSM data and visual remote sensing images.
Study on Genetic Algorithm and Homomorphic Filter for Logs Face Image Processing

Piles of logs are placed spontaneously which cause the logs face images are usually mixed with shadows. Besides, the cracking and breakage make the logs face recognition very difficult. In this paper, the genetic algorithm is used to determine two turning points of three-stage linear transformation for the image enhancement, then the homomorphic filter is used for the image segmentation. Experiments proved that the improved generic algorithm in such image segmentation can obtain better effect, especially for the shadow and stubbles situation.
Multicarrier DS CDMA systems in the presence of partial band interference

Applies a multicarrier signalling technique to a direct sequence CDMA system. This type of signalling has the desirable properties of exhibiting a narrowband interference suppression effect, along with robustness to fading, without requiring the use of either an explicit RAKE structure or an interference suppression filter. The authors use bandlimited spreading waveforms to prevent self-interference, and evaluate the system performance over a frequency selective Rayleigh channel in the presence of partial band interference. <<ETX>>
Cinchona alkaloids as natural fetal hemoglobin inducing agents in human erythroleukemia cells

Pharmacologically mediated reactivation of γ-globin gene with an increase in fetal hemoglobin production, is a cost effective experimental therapeutic intervention for the management of β-hemoglobinopathies. Investigation of new pharmacological agents as HbF inducers from natural resources is desirable to develop safe and effective HbF inducers. We evaluated selected cinchona alkaloids (cinchonidine and quinidine) for their potential of erythroid differentiation and augmentation of fetal hemoglobin production. K562 cells were used as in vitro experimental model. Erythroid differentiation of K562 cells was studied using a benzidine assay, and total hemoglobin was estimated through a calorimetric method. Whereas, quantitative real-time PCR (qRT-PCR) was used to analyse γ-globin gene expression, and flow cytometry and immunofluorescence microscopy for evaluating HbF production. Cinchona alkaloids showed dose dependent erythroid differentiation, time driven cellular proliferation, with kinetics of hemoglobin accumulation in K562 cells. The findings of qRT-PCR showed an increase in expression of γ-globin mRNA content (3.17-fold in cinchonidine and 2.03-fold increase in quinidine treated K562 cells), accompanied by an increase in fetal hemoglobin production. Altogether, this study demonstrates that cinchona alkaloids can be used as therapeutic agents in treating β-thalassemia after further biological investigation.
An object-oriented refinement calculus with modular reasoning

In this thesis, the refinement calculus is extended to support a variety of object-oriented programming styles. The late binding of procedure calls in object-oriented languages is modelled by defining an object-oriented system to be a function from procedure names and argument values to the procedures that are invoked by late binding. The first model allows multiple dispatch late binding, in the style of CLOS. This model is then specialised to the single dispatch case, giving a model that associates types with objects, which is similar to existing class based object-oriented languages. Both models are then restricted so that they support modular reasoning. The concept of modular reasoning has been defined informally in the literature, both for non-object-oriented systems and for object-oriented systems. This thesis gives the first formal definition of modular reasoning for object-oriented languages. Intuitively, the definition seems to capture the minimum possible requirements necessary to support modular reasoning. For simplicity, the definition only allows data refinement between the implementation and specification of an object, not between types and subtypes. The removal of this restriction is discussed in the section on further work. The definition of modular reasoning allows programs to make arbitrary observations about objects, such as testing the type of an object. In contrast, most existing formal methods for object-oriented programming assume that a subtype should be a transparent replacement of its supertypes, so do not allow programs to test the types of objects. Other topics covered include the incremental construction of types from other types and a way of reasoning about the aliasing of objects, based on the collections of Euclid. The use of collections to handle aliasing is convenient because it is modular. That is, an object can encapsulate a collection and thus hide all aliasing from programs that use the object.
Optimized dualCEST‐MRI for imaging of endogenous bulk mobile proteins in the human brain

Dual‐frequency irradiation chemical exchange saturation transfer (dualCEST) allows imaging of endogenous bulk mobile proteins by selectively measuring the intramolecular spin diffusion. The resulting specificity to changes in the concentration, molecular size, and folding state of mobile proteins is of particular interest as a marker for neurodegenerative diseases and cancer. Until now, application of dualCEST in clinical trials was prevented by the inherently small signal‐to‐noise ratio and the resulting comparatively long examination time. In this study, we present an optimized acquisition protocol allowing 3D dualCEST‐MRI examinations in a clinically relevant time frame. The optimization comprised the extension of the image readout to 3D, allowing a retrospective co‐registration and application of denoising strategies. In addition, cosine‐modulated dual‐frequency presaturation pulses were implemented with a weighted acquisition scheme of the necessary frequency offsets. The optimization resulted in a signal‐to‐noise ratio gain by a factor of approximately 8. In particular, the application of denoising and the motion correction were the most crucial improvement steps. In vitro experiments verified the preservation of specificity of the dualCEST signal to proteins. Good‐to‐excellent intra‐session and good inter‐session repeatability was achieved, allowing reliable detection of relative signal differences of about 16% or higher. Applicability in a clinical setting was demonstrated by examining a patient with glioblastoma. The optimized acquisition protocol for dualCEST‐MRI at 3 T enables selective imaging of endogenous bulk mobile proteins under clinically relevant conditions.
Dynamic neural estimation for autonomous vehicles driving

Mobile robots and vehicles may be driven by dynamical neural networks which utilize image data of real-world scenes collected through a TV camera for learning and performance. An innovative system for road direction detection is proposed which is comprised of three specialized blocks performing edge extraction, image-segments detection, and road direction estimation. The road direction estimation block is implemented as a feedback neural network. <<ETX>>