Miracle-dz/UniFAR-FTUs huggingface dataset:
A Biomedical Named Entity Recognition Using Machine Learning Classifiers and Rich Feature Set

Summary As the wealth of biomedical knowledge in the form of literature increases, there is a rising need for effective natural language processing tools to assist in organizing, curating, and retrieving this information. The task of named entity recognition becomes more difficult from specific domain since entities are more exact to that particular domain. To that end, named entity recognition (the task of identifying words and phrases in free text that belong to certain classes of interest) is an important first step for many of these larger information management goals. In recent years, much attention has been focused on the problem of recognizing gene and protein and other biomedical entities mentions in biomedical abstracts. Thus, this study aims to design and develop a biomedical named entity recognition model. A machine learning classification framework is proposed based on Naïve Bayes, K-Nearest Neighbour and decision tree classifiers. we have performed several experiments to empirically compare different subsets of features and three classification approach Naïve Bayes, K-Nearest Neighbour and decision tree for biomedical named entity recognition. The aim is to efficiently integrate different feature sets and classification algorithms to synthesize a more accurate classification procedure. Results prove that the K-Nearest Neighbour trained with suitable features is more suitable to recognize named entities of biomedical texts than other models.
Nanocarrier Applied in The Distribution of Drugs in the Assistance for the Cancer Treatment

GLOBOCAN 2018 estimated 18.1 million cases per year worldwide, which is expected to increase to 29.5 million cases of cancer per year by 2040 [1]. Overall, cancer is an uncontrolled proliferation of cells that generate tumor masses, with the exception of hematologic cancers that spread through the lymphatic, blood and bone marrow systems. Tumors grow thanks to angiogenesis, which is the new vascularization created to supply oxygen to cancer cells. At the same time, cancer cells possess replicative immortality and resistance to death, so that over time it spreads to other parts of the body and eventually causes death [2]. The origin of cancer is due to a mutation of the proto-oncogenes that encode the proteins involved in cell proliferation and differentiation, as well as the genes that encode the proteins that inhibit cell growth and stimulate apoptosis [3]. The most common treatments for non-metastatic cancers are surgery and radiation therapy, but when the cancer has spread throughout the body, these treatments are ineffective [4].
Comparative study of Image processing techniques used for Scene text detection and extraction

— In recent years, wide variety of research has been done on Text detection and Extraction from Scene images. These techniques are used for large number of applications like aid for visually impaired people, Document analysis, Vehicle license plate recognition, etc. Text Extraction plays a major role in finding vital and valuable information from captured image. With rapid development in Multimedia Technology and growing requirement for information, identification, indexing and retrieval, several image processing techniques have been developed for extracting text. Each technique has its pros and cons depending on various conditions like Speed, Accuracy, Complexity, Processing time, etc. Hence, only single method is insufficient for overall text detection and extraction system. To achieve better performance, it is necessary to combine these techniques. So, we need to have adequate knowledge of various techniques proposed worldwide. On this background, this article discusses various schemes proposed earlier for extracting the text from an image. This paper also provides the performance comparison of several existing methods proposed by researchers in extracting the text from an image.
Recombinant human MG53 protein preserves mitochondria integrity in cardiomyocytes during ischemia reperfusion-induced oxidative stress

Ischemic injury to the heart causes a loss of mitochondria function due to an increase in oxidative stress. MG53, also known as TRIM72, is highly expressed in striated muscle and is essential to repair damage to plasma membrane. We have shown that mg53-/- mice are more susceptible to ischemia-reperfusion injury, whereas treatment with exogenous recombinant human MG53 (rhMG53) reduces both infarct damage and restores cardiac function. This study assesses whether MG53 protects and repairs mitochondria injury after oxidative stress associated with myocardial infarction. We hypothesize that in addition to known cell membrane repair function, MG53 acts as a myokine to protect cardiomyocytes by maintaining mitochondrial function. A combination of in vivo and in vitro ischemia/reperfusion models were used to assess MG53’s effect on mitochondria using biochemical assays and confocal microscopic imaging. Treatment with rhMG53 allowed cells to maintain a healthy mitochondrial membrane potential, reduced release of mitochondrial reactive oxygen species, and mitigated mitophagy. Mitochondrial localization of rhMG53 is mediated by exposure of and interaction with cardiolipin on the mitochondrial membrane. Our data demonstrates that rhMG53 protein preserves mitochondria integrity in cardiomyocytes during ischemia reperfusion-induced oxidative stress.
Rethinking The Dental Hygiene Admissions Process To Include Evaluation Of “Working” Hands

The typical dental hygiene school admissions committee regularly considers an applicantâ€TMs intellectual potential to succeed upon entrance into the program. Since hands-on ability is considered an asset in the dental profession, this research investigates the applicantsâ€TM clinical potential by way of three very specific hands-on assessment tests. Each applicant was given a hands-on test consisting of the Oâ€TMConner Tweezer Dexterity, Grooved Pegboard, and Symbol Digit modalities following the standardized guidelines. The main findings suggest the best indicator of passing the clinical boards is the pre-clinic course grade, and the best indicators of success in the pre-clinic course are the Oâ€TMConner Tweezer Dexterity and Symbol Digits Modalities assessment tests. This displays some rationale for selecting a student with better-hands on ability prior to starting the program and can be done by way of these assessment tests. ————————————————————
Advances in Robotics & Automation

Modeling and simulation of robotics hands are significant topics that have been looked into by many robotics Specialists and programming experts. This is due to a demand to build a friendly platform for analyzing proposed hand design and movements, earlier to hand physical construction. For meeting such demands, a dexterous robotic hand software simulator was synthesized. The developed code is dexterity characterized robotic hand modeling and simulation software environment. The simulator was developed for robotics hands research purposes. This manuscript is presenting a brief documentation of such a modeling and simulating environment for simulating dynamic movements of multi-finger robotics hand. The environment is named as the e _GRASP. To make use of other supporting environments, e _GRASP is a Mat lab based simulator, with a quite large number of linked functionalities and routines that helps in simulating hand movements in a defined 3D space. e _GRASP was built after a number of years of experience while dealing with robot hands, hence it is a comprehensive Mat lab based Toolbox that makes use of other Mat lab defined Toolboxes. e _GRASP can also be interfaced to real-time hand control, with an ability to be linked with even higher levels of hierarchy. This includes Mat lab AI Tools, optimization, as considered useful toolboxes for dexterous hands for grasping and manipulation.
Overloading in Distributed Computing System-A Review

: Distributed computing utilizes a network of many computers, each accomplishing a portion of an overall task, to achieve a computational result much more quickly than with a single computer. Each system is only aware about the input of the system. So there is a problem of fault tolerance in distributed system when one of the working node become overload. In this paper we have studied about various fault tolerance in distributed system.
Inter Symbol Interference Reduction Using OFDM in Data Transmission

in Abstract — This paper studies reduction of Inter Symbol Interference (ISI) using Orthogonal Frequency Division Multiplexing (OFDM). OFDM is multicarrier data transmission modulation scheme. In multipath data transmission ISI is introduces. Therefore, in OFDM to separate the multisymbols guard bands are added. For reduction of ISI Cyclic prefix (CP) are introduced. CP uses the padding of bit symbols in the system and eliminate the ISI. Peak to average power ratio (PAPR) is also reduce by using clipping.
Cardioprotective and antioxidant effects

Generally, cardiovascular diseases (CVD) were found to be primary source of mortality. Developing countries like India are also struggling to manage the impact of CVD along with the growing burden of obesity [1] . Heart disease is any disorder that disturbs the heart’s capability to function usually. Heart disease is a general term that refers to a variety of acute and chronic medical conditions that affect one or more of the components of the heart [2] . Myocardial infarction (MI) or acute myocardial infarction (AMI), generally known as a heart attack, happens when the blood supply to portion of the heart is disturbed mak-
International Journal of Current Research in

Brassinosteroids (BRs) are growth-initiating steroidal compound found in pollen, seeds, and young vegetative tissues throughout the plant kingdom. Brassinosteroids (BRs) collectively refers to naturally-occurring 5α cholestane steroids that elicit growth stimulation in nanoor micromolar concentrations. BRs that are biosynthesized using sterols as precursors are structurally similar to the cholesterol-derived, human steroid hormones and insect molting hormones. BRs have been known for decades to be effective in plant growth promotion. However, definitive evidence for their roles in growth and development remained unclear until the recent characterization of BR dwarf mutants isolated from Arabidopsis and other plants. This review inspects essential role of BRs in diverse developmental programs, including cell expansion, vascular differentiation, etiolation, and reproductive development. Current improvements regarding BR-regulated gene expression and signal transduction are also discussed. Accepted: 16 June 2017 Available Online: 06 July 2017
PERFORMANCE ANALYSIS OF ANT BASED TASK SCHEDULING ALGORITHMS IN CLOUD ENVIRONMENT

: Scheduling of tasks in cloud environment is a key research area. Cloud computing environment provides virtualized resources to applications dynamically. These resources are costly and often impossible for users to own them privately. Users are charged on a pay-per-use basis for these resources on cloud environment. The idea of task scheduling in cloud environment is to optimize the execution time so that the cost paid by the user is minimal. Ant based algorithms are very popular for task scheduling related problems in cloud computing. Ants destroy themselves at destination and do not return at source which makes them even more popular. This paper provides performance analysis of 2 ant based algorithms for task scheduling in cloud environment.
Smart Phone App for Assessment and Processing of Foot Ulcer Images with Diabetic Patients

: A more number of peoples are suffered to diabetic foot ulcer in this world . To createapp for diabetic patients and to analysis the wound. The app is implemented to the smart phone. By using MATLAB software to analysis the critical or normal of the wound by using Adaptive K-Mean algorithm. First the image is converted into standard form to assess the easy analysis. To masking and to product the surrounding of the wound.
Techniques to compensate mutual coupling effects in a Multiple Switched Beam Smart Antenna with Beam Shaping Capability

A smart antenna for mobile applications incorporating an array of ± 45 polarised stacked patch elements 4 columns wide excited by a multi-beamforming and beam shaping network is described. Four narrow overlapping beams, one wide “broadcast channel” beam and right and left shaped beams can be provided. The later shaped beams are to provide high capacity coverage in a specific narrow angular sector while low capacity coverage is maintained over the remainder of a 120 sector. Results are presented for the simulation of this smart antenna using CST EM simulation software. In addition, a demonstrator array has been constructed and tested which has yielded a positive conformation of the simulation results. It will be shown that the effects of mutual coupling degrade the beam shapes, particularly for the broadcast beam producing a significant reduction in gain over the centre of the pattern. Results are included to show the effects of applying modified complex excitation weights for compensation of mutual coupling. Whilst this technique can be shown to restore beam patterns it is also shown to introduce unacceptably high return loss at the antenna input ports. An alternative technique for producing Wide Angle Impedance Matching (WAIM) is described which is shown to improve return loss but degrade beam shapes. This work describes how both techniques can be combined to maintain good beam shapes and preserve good impedance matching, with consequent good return loss, over wide scan angles and also for shaped beams.
Exercise based evaluation of cardiac function improvement

Heart rate, Blood Pressure and Rate pressure product are important physiological parameters that can be utilized to analyze the physical condition of the human body. However, the step-by-step analysis on the changes of ECG waveforms and RPP before and after regular exercise has been presenting in this paper. This proposed work examines the Changes of ECG waveforms after regular exercise. Rate pressure product results can be calculated based on HR and SBP after 12-minute running exercise in three weeks with the 10 healthy subjects. In these study determines the regular three weeks of exercise changes the recovery of HR which is the main evolution parameter of the cardiovascular fitness. RPP is an important indicator of the ventricular function. HR, SBP and RPP increases with strenuous exercise which provide the adequate blood supply to the myocardium. Thus, according to Brody effect, amplitude of R-peak in ECG at rest increased, will most likely is caused by the LV volume increased with improvement of heart function. In this experiment measurement of amplitude features of ECG like RQ, SQ, and TQ which represent the difference of amplitude between R-, S-, T-, and Qwave respectively. After the final results showed that the 100% of subject’s HR at rest condition has continuously decreased and 100% of R peak amplitude at rest increased during the three weeks of experiment. Moreover, RQ/SQ/HR and TQ/RQ/HR at rest 80% and 90% decreased during the experiment duration respectively; while, 70% of RQ/SQ/HR decreased, 50% of TQ/RQ/HR increased immediately after exercise and also 100% of RPP at rest decreased which indicating increased MVO2 at rest. According to the Variation of these parameters, it indicated that cardiac function enhanced. Keywords—ECG; SBP; RPP; Amplitude features; Brody effect; LV volume; 12-minute running; MVO2
PHYTOCHEMICAL PROFILES, ANTIBACTERIAL AND ANTIFUNGAL ACTIVITY OF LEAVES FROM THE Psydrax

The phytochemical analyses and antimicrobial activity of Psydrax dicoccos leaves were extracted successively with different solvents viz., petroleum ether, chloroform, ethyl acetate and methanol and screened for their antimicrobial activity against Staphylococcus aureus, Streptococcus pyogenes, Enterococcus faecalis, Escherichia coli, Proteus vulgaris, Pseudomonas aeruginosa, Vibrio cholerae, Candida albicans, C. parapsilosis and C. tropicalis by using Disc diffusion method. Minimum Inhibitory Concentration (MIC), Minimum Bactericidal Concentration (MBC) and Minimum Fungicidal Concentration (MFC) were also determined in the present research. The methanol extract of Psydrax dicoccos showed the highest antimicrobial activity against all the bacterial and fungal strains tested than the other extracts. The mean zones of inhibition produced by the extracts in Agar diffusion assays against the tested bacterial strains was ranged from 7.0 to 22.5 mm. The MIC values were between 125 and 250 μg/ml, MBC values 250 and 1000 μg/ml and MFC 500 and 1000 μg/ml values were recorded. Phytochemical analyses of different extracts of Psydrax dicoccos leaves was analyzed. The methanol extract of Psydrax dicoccos leaves showed the presence of strong phytochemicals viz., steroids, tannins, phenolic compounds and terpenoids compared to other extracts. The highest mean of zone inhibition (22.5 mm) was observed in the methanol extract of Psydrax dicoccos against the bacteria Staphylococcus aureus. From the above findings, we concluded that the methanol extract of Psydrax dicoccos will be needed to isolate and characterize the compounds.
Encapsulation of Pomegranate Seed Oil in Beta- Cyclodextrin

Cyclodextrins (CD)s play an important role in innovative textile processing and the functionalization of textiles. In the textile industry CDs may have many applications such as: absorption of unpleasant odours; they can complex and release fragrances, using as skin-care-agents, bioactive substances and filters for adsorption of small pollutants from waste water. The uses of beta-CDs provide different opportunities for developing new innovative products and eco friendly textile processes which are of specific interest to the textile industry. Due to the anti-oxidant effect of pomegranate seed oil (PSO), in this study encapsulation of PSO by beta-CD was carried out and inclusion complexes were formed successfully. The formed compound was applied onto the textile substrate and both formulation and surface morphology of the substrates were discussed in this study.
Secure and Efficient Ciphertext Policy Attribute Based Encryption without key Escrow Problem

: Online data sharing systems such as Microsoft health vault, Google+, Facebook etc., renders security through promising cryptographic solutions via Ciphertext policy Attribute Based Encryption (CPABE). The CPABE scheme is well suited for distributed data sharing systems because the data owner has full control in enforcing access policies and updating the policies. Though the CPABE scheme is advantageous it comes with a major drawback known as the key escrow problem. In this paper, the key escrow problem is resolved by using a Modified Escrow free Key generation Protocol (MEKGP). The modified escrow free key generation protocol ensures that neither the Key Generation Center (KGC) nor the Data storing center can generate the secret keys individually. The KGC and Data storing center generate parts of secret key which are then integrated by the user. In this paper, the KGC need not be assumed to be trustworthy unlike the existing systems. The results show that the modified escrow free key issuing protocol completely eliminates key escrow problem and is efficient. This protocol hasn’t been used in the literature and is the newly proposed approach to the best of the author's knowledge.
Cerebral Venous Thrombosis and Sickle Cell (SC) Disease: Case Report and Literature Review

The authors report a case of cerebral venous thrombosis in a thirty-seven-year-old sickle cell (SC) patient, who presented with a confusional state during hospitalization for a non-displaced fracture of the right leg. Exploration of the patient by cerebral CT and MRI brain angiography revealed superior sagittal sinus thrombosis. Biological examinations did not reveal any other hereditary or acquired hypercoagulable condition. The evolution was favorable under effective anticoagulation by low molecular weight heparin with per os relay by xarelto (rivaroxaban). The interest of this file resides in the scarcity of this observation in Black Africa, where, however, Sickle cell disease occurs.
An Innovative Technique from Data Mining by DEA for Ranking Revealed Procedures

— Extracting patterns from huge databases have grown into extensive in trade by Data mining techniques. Using these procedures, a number of guidelines may be achieved and only a minor number of these procedures possibly will be designated for application due, at least in measure, to restrictions of economical and resources. Calculating and ranking the interestingness or practicality of association rules is significant in data mining. This paper proposes a new unified data envelopment analysis (DEA) model which is capable to find greatest efficient association rule by answering only one mixed integer linear programming (MILP). Then, using this ideal, a new routine for ranking association rules by making an allowance for multiple standards is proposed. As an advantage, the proposed routine is computationally well-organized than preceding mechanisms. Using a pattern of market basket analysis, applicability of our DEA established routine for measuring the effectiveness of association rules with multiple standards is proved.
ELECTRICITY PRODUCTION BY BACTERIA

Direct electron transfer from electrodes to cells has many rewards over indirect electrical stimulation of microbial metabolism through electron shuttles or hydrogen production. In these study MFCs screened from soil samples near college campus (Shri Shivaji Mahavidyalaya, Barshi). From which four isolates (B1, B2, B3 and B4) were select for electricity production. These isolates were identified by morphological and biochemical studies. The identified isolates were Pseudomonas fluorescens, Bacillus pasteurii, Klebsiella ozaenae and Shigella spp. These MFCs were grown in two different medium i.e. Succinate medium and nutrient medium while it showed more electricity generation in succinate medium. The physicochemical parameters were optimized for more current formation. It was obtain that shaking condition was good for current production. The optimized condition showed that 5g/L succinic acid, 1g/L K2HPO4, pH 7 and 37 o C are good conditions for current generation. After 72 hrs incubation period MFCs produced more electricity i.e. 1.5V and LED bulb had produced light.
Springback Prediction And Its Influencing Parameters - Review

Most widely operation on the sheet metal is sheet metal Bending process. Occurrence of springback during the manufacturing of the bending products is seen most of the time. The deviation of the component part dimensions from its tool dimension after the forming process is known as the springback phenomenon. This sringback causes deviation of the dimension from the desired dimension causes rejection in the production. To reduce this rejection of the part and to make the part acceptable there is need to know the springback phenomenon for that part. To reduce or investigate the springback phenomenon the trial and error method is widely used in industrial practice. This trial and error is also known as geometrical compensation method & it required many trials causes increase in cost to develop the tool dimensions. Hence there is need to predict the springback effect for the component in tool design process. This paper is based on review of the various researches on the springback phenomenon its influencing parameters. In this paper the review of the previous researches on springback prediction and its influencing parameters is carried out. The research gap is concluded within the reviewed papers.