Miracle-dz/UniFAR-FTUs huggingface dataset:
Path Finding Algorithms for Autonomous Robots Based on Reinforcement Learning

 Normally, the problem of path finding is solved by classical algorithms, such as the Dijkstra, Bellman-Ford,Johnsonalgorithm. However, the classical path finding algorithms cannot handle the problem of dynamic environment in the realworld.This paperintroducesmodelforautonomous robot path finding based onreinforcement learning algorithms.We describe the basic concept, principle and the method of reinforcement learning algorithms, and do some simulation experiments in order to evaluate the effectivenessamong different reinforcement learning algorithms.Simulation results show that Q-learning algorithm does not work well when the environment has changed constantly and there are too many obstacles.Both SARSA algorithms and Q-learning algorithms are relatively slow in convergence.Meanwhile, Dyna-Q algorithm determines the path of the robot relatively fast and the stability rates are high.
Orthogonal matching pursuit algorithm for roll bearings on eeg signals using stationary wavelet transformation

Signal processing requires the efficient representation and processing of data. In an emerging trend the compressed signals gives the collection of linear projections of a sparse signal and information for reconstruction. In this paper, we propose that an application of compressed sensing in the field of signal processing, particularly electroencephalogram (EEG) collection and storage. The proposed framework is based on the EEG signals are sparse in a Gabor frame. Gabor frames are commonly used in science and engineering to synthesize signals from, or to decompose signals into, building blocks which are localized in time and frequency. The sparsity of EEG signals in a Gabor frame is utilized for compressing the signals. The matching pursuit algorithm is shown to be effective in the recovery of the original EEG signals from a small number of projections. The OMP algorithm improves the efficiency of finding the frequency-time atoms and rapid noise rectification. The experiments results are investigated up to 100 iterations and reduction of noise in weak signals. Index Terms Signal processing, Electroencephalography, Signal Reconstruction, Sampling, Orthogonal matching pursuit algorithm
Fluctuations of certain Biochemical constituents as a consequence of Chlorantraniliprole toxicity in the Mud Fish, Channa punctatus (Bloch, 1974)

The continuous releases of chemicals impair water quality and become unsuitable for aquatic organisms due to their persistence, bio accumulation, toxicity and biomagnifications in the food chain (Palaniappan and Karthikeyan, 2009). Aquatic ecosystem is the final sink for many chemicals used in industry and agriculture and has become a global problem (Ghosh et al, 2006). Although the emerging pollutants introduced into the aquatic environment by discharges from sewage treatment plants, disposal use and so on (Kasprzyk-Hordern et al, 2009).
for Nested Loops

Abstract — Large amount of software for embedded digital signal processing systems is written in assembly language. Software pipelining of loops is necessary to exploit the full potential of Very Long Instruction Word (VLIW) processors. For both understanding software pipelined loops and reverse compiling them to high level language code the software pipelined loops must be de-pipelined back to the original loops. In this paper we present technique for software de-pipelining of nested loops, demonstrate it with an example and evaluate the benefits of some software pipelined nested loops.
eJBio: Electronic Journal of Biology

Curcumin (diferuloylmethane) is the most active component of Curcuma longa L. Several clinical trials have found curcumin to be a notable antiinflammatory and antioxidant compound. The present study evaluates the effects of curcumin and indomethacin treatment on the inflammatory responses and on plasma phosphatase and transaminase activities, employing an adjuvant– induced arthritis model in rat. Arthritis was induced by the subcutaneous injection of a Freund’s complete adjuvant into the plantar surface of right hind paw of rats. Development of the inflammatory response was assessed over a 21-days period. In this study a sample of 32 male Wistar albino rats (180-220 gr) were used which randomly divided into four groups with eight rats per group. Group I served as normal control rats (untreated), group II arthritic rats which received vehicle, group III arthritic rats treated with curcumin (30 mg/Kg orally) and another group, arthritic rats treated with indomethacin (3 mg/Kg reference drug orally). Treatment was started from 7th day of adjuvant injection and was terminated on day 21. At the end of the experimental period, the animals were anesthetized and killed; blood samples were collected and prepared for measurement of alkaline phosphatase (ALP), aspartate (AST) and alanine aminotransferase (ALT) activities. The results indicated that inflammation and plasma ALP, AST and ALT activities were very elevated in the arthritic rats and curcumin treatment to similar indomethacin were significantly reduced the swelling of paws and plasma ALP, AST and ALT activities in arthritic rats. In conclusion, the present data suggest that aminotransferases and alkaline phosphatase were significantly reduced in arthritic rats after the administration of curcumin. This reducing effect may be related to their anti-inflammatory activity.
Floating Point Multiplier Implementation A Broader Perspective

: Floating point multiplication is a crucial and more frequently used arithmetic operations in high power computing applications such as signal processing, image processing etc. High speed and memory requirement of IEEE-754 standard floating point multiplier makes its implementation more complex in many systems which require fast computing. Hence bringing an efficient architecture to complete the floating point multiplication operation with less computation time and with less memory requirement turned into one of the main research area in almost all the field of electronics. In this research review paper detail explanation about each and every architecture proposed for floating point multiplier is presented and its pros and corns are discussed. Later, comparison study between five different parallel floating point multiplier architectures which has been implemented on tsmc 180nm technology node is presented. From the results it has been observed that among all five proposed floating point parallel multiplication, a New Computation Sharing High speed Multiplier (CSHM) architecture based floating point implementation can yield a better results interms of all the performance parameters is concerned and better suitable for Finite Impulse Response (FIR) filtering operation. Cadence ® nclaunch, rc compiler and Encounter are the tools used for simulating, synthesizing and physical design implementation.
Influence of Social School Climate and Teachers’ Effectiveness in Senior Secondary Schools in Yobe State, Nigeria

-This study investigated the’ influence of social school climate and teachers’ effectiveness in senior secondary schools in Yobe State, Nigeria. There were three purposes that guided the study. One research question and one null hypothesis was formulated and tested at 0.05 level of significance. The population of the study was 5322 subjects comprising school administrators and classroom teachers of senior secondary schools in Yobe State. The Sample size of 359 element comprising 18 school administrators and 341 Teachers were selected using Taro Yamane’s method and 18 senior secondary schools were selected through purposive sampling. A structured questionnaire with 20 items was used to gather data. Using five likert format rating scale. The statistical tool used in the analysis of one research question was mean and standard deviation while linear regression analysis was used to test the hypothesis at 0.05 level of significance. Findings from this study showed that social climate is high in senior secondary schools in Yobe State. The result of this study revealed that there is significant moderate relationship between social school climate and teachers’ effectiveness in senior secondary schools in Yobe State, Nigeria. This study recommended that Principals, teachers and students should maintain cordial relationship with teachers.There should also be free flow of communication among members of the staff in all senior secondary schools in Yobe State so that specific objectives and general goal of education could be achieved.
Improvement in Genetic Algorithm to Increase Error Detection Rate for Product Line Model based Testing

Testing is a used to evaluate the system to discover that it satisfied with given requirements or it does not. Testing used to execute the system to find out any error, or missing requirements. Model based testing is a black box testing in which models are used to generate test cases. The online technique of Model based testing is used to generate test cases automatically. Sometimes faults are occurred in the test cases. In this paper, enhancement in genetic algorithm is done with supervised learning to remove faults from the test cases.
Comparison of images recognition using VHDL and multiclass SVM

— Image processing is processing of images using mathematical operations. Image processing is used in very large and expanding areas. VHDL (VHSIC Hardware Description Language) is a language used to express complex digital systems concepts for documentation, simulation, verification and synthesis. Nowadays VHDL is used as a tool for image processing. Support Vectors Machines (SVM) is one of the best known methods in pattern classification and image classification. The aim of this study is to evaluate the results of the implementation of the operator wear in the HDL for image processing. Then the potentiality of SVM evaluated on image recognition and the results compared to VHDL. The results indicated that VHDL has better performance than multi-class SVM.
A QUEST FOR BETTER PROBIOTIC DELIVERY AND FRONTIERS OF PROBIOTIC APPLICATION IN MEDICAL SCIENCE: A CRITICAL REVIEW

Probiotics are live microorganisms that when introduced orally positively contribute to the activity of the intestinal microflora and the health of its host. Various studies showed that probiotics are potentially able to contribute to treatments of many diseases. They may not cure any disease, but can significantly improve the patient‟s condition and also can prevent many infections. Recent studies confirmed that gut microbiota has a direct connection to the behavior and development of the brain. This review is done in two parts. The first part discusses how micro-encapsulation can improve targeted delivery of probiotics where second part discusses the effects of probiotics on various diseases. On the first half of this review, we will see micro-encapsulation allows core ingredients or probiotics to be separated from the environment by a protective coating which can enhance shelf-life of probiotics. The objective of this review is to study the efficiency of different encapsulation materials and methods to understand and control the delivery of probiotic by the conventional method to improve drug uptake, release and absorption by making it resistant from the harsh environment (Gastric juice and bile salt). On the second half of this review, we will encounter how probiotics are an essential part of the gut-brain axis and gut-brain signaling, how they influence neural development and help in the treatment of various neurodegenerative diseases like Autism, Alzheimer‟s disease, and Parkinson‟s disease and how psychobiotics can improve mental health. Probiotics are very helpful in the treatment of various gastroenteritic disorders and also in cases of HIV and Cancer. INTRODUCTION: “Let food be thy medicine and Medicine be thy food”– Hippocrates. Probiotics are live microorganisms; those can be introduced orally in the gastrointestinal tract or GI tract to improve intestinal microflora and positively contribute to the health of the host. QUICK RESPONSE CODE DOI: 10.13040/IJPSR.0975-8232.10(9). 3993-05 The article can be accessed online on www.ijpsr. com DOI link: http://dx.doi. org/10.13040/IJPSR.0975-8232.10(9). 3993-05 Live bacterial cells are gaining large attention for contributing in treatment of several diseases including kidney failure uremia, cancer, inflammatory bowel disease, cholesteremia, and others. It has been reported that probiotics can suppress the growth of undesirable microorganism in colon and intestine 1 . Benefits of Probiotics: Probiotics are proven to be beneficial and capable of ameliorating health conditions in various diseases which will be discussed in great detail in the second part of this literature below. But to provide a quick view of the beneficial effects of probiotics, it is crucial to
Multi-SVM For Enhancing Image Search

— Searching of relevant images from a large dataset for the given query image is a challenging task in computer vision systems. To overcome the problems such as time complexity and computational complexity a new methodology is proposed that will classify the whole dataset and also the given query image . By doing so we can reduce the similarity searching time and retrieval performance achieved by the classifier named Multi-SVM. Similarity measures are taken for query image against the whole database by using KNN. The images which are similar to the query image are retrieved from the database and displayed to the user. The images are categorized based on the extracted texture and color moment features. Finally compute precision and recall measures for CBIR performance analysis.
Tr atment adherence by personalizing the drug dispensing for diabetic patients in social vulnerable situation

Objectives: We examined the impact of personalizing antidiabetic agents in treatment adherence and in health outcome of socioeconomic vulnerable patients. Methods: We conducted a randomized controlled trial comparing usual “on demand” drug supply from Primary Health Care (PHC) Centers; with a drug dispensing strategy based on a personalized process. 469 patients with type-2 diabetes (DBT) were assigned to either control (CG) or intervention group (IG) assuring a balance in main risk factors. Primary trial endpoint was treatment compliance; however aspects like health events associated to DBT were also evaluated. Results: Adherence to oral agents in CG was 15.57% and 92.09% in IG (p <0.001). Dose omissions represented the most prevalent form of non-adherence. Weight loss was greater in the intervention group than in the control group throughout the study (5.4% in overall weight reduction at study end). Hospital admissions (16.80% vs 10.23% p <0.01) and coronary heart events (7.37% vs. 3.72% p 0.03) were higher for CG when compared with IG. Conclusions: Diabetes faces the challenge of lifelong treatment. This task is difficult for every patient but is especially hard in social vulnerable situation. Our initiative demonstrate that for the poor and uninsured population, personalizing drug dispensing showed a high level of treatment compliance, and benefits in terms of health consequences associated to diabetes. This experience might be useful for primary care health teams in order to better control social underserved patients, and also for reducing the economical impact for health system caused by complications due to untreated diabetes
The Effect of Coronary Risk Factors on QT Dispersion

It is known that in patients with ischemic heart disease, QT dispersion (QTd) predicts ventricular arrhythmia and sudden cardiac death and that major coronary risk factors such as smoking, diabetes mellitus, hypertension increase QTd. It is not clear whether, in coronary artery disease, QTd increases because of ischemia or co-existence of coronary risk factors. In this study, we aimed to investigate the independent effect of coronary risk factors on QTd by examining patients with just one major coronary risk factor. 133 (111 patient, 22 healthy people, average age (52±10; 49±11) patients were included in our study. The patients were divided into 5 groups according to existence of diabetes mellitus (19 patients), hypertension (24 patients), hyperlipidemia (17 patients), a positive family history (21 patients), smokers (30 patients). The control group consists of completely healthy subjects without any risk factors (22 patients). 12 derivations ECG of all patients were recorded at 50 mm secG . QT intervals were measured after the ECG recordings were transferred to a 1 computer and magnified by 400-600 times with Adobe photoshop program on a high resolution monitor. QTd and QTcd (QT corrected dispersion) of all groups with one risk factor were significantly higher than the control group (p< 0.01). In addition, each coronary risk factor had an independent and significant increasing effect on QT interval (p<0.01). QTd and QTcd intervals are affected by coronary risk factors as well as ischemia and this finding should be taken into account in studies concerning QT intervals.
Power Optimization and Temperature control in Solar Powered Automated Dryer Using Fuzzy Controller

Drying is an exceptional way to defend food and solar food dryers are appropriate food preservation technology for sustainable development. The main objective of this paper is to design a solar powered Automatic drier which has solar as well as electric heater for efficient and quality drying in an economical way. This work is split up into two stages, initially an efficient drier has to be designed and modelling and conventional PI controller and Fuzzy controller has to be designed for maintaining temperature in the heating chambers for drying process and the efficient usage of solar energy and solar powered electrical energy for heating process has to be studied in detail.
Synergistic effect of metformin and EGFR-TKI in the treatment of non-small cell lung cancer

In recent years, the incidence of lung cancer has been increasing, and lung cancer has become the leading cause of cancer-related death. Non-small cell lung cancer (NSCLC) accounts for 85% of all lung cancers. Platinum-containing chemotherapy is the first-line treatment for advanced patients. For patients with epidermal growth factor receptor (EGFR) mutation, EGFR-tyrosine kinase inhibitor (EGFR-TKI) is the best treatment choice. In studies, these patients have initially shown excellent response to EGFR-TKI treatment. However, the median progression-free survival (PFS) of NSCLC patients treated with EGFR-TKI is only 10–12 months, so the problem of drug resistance in treatment needs to be urgently solved. Clinical studies have shown that metformin and EGFR-TKI have synergistic effects in the treatment of NSCLC patients. Additionally, patients who are diagnosed with type 2 diabetes mellitus, with EGFR mutation have shown synergistic effects. This combination therapy can lead to longer PFS and overall survival (OS). This article reviews the synergistic effect of metformin and EGFR-TKI in the treatment of NSCLC.
The Antioxidant Effect of Certain Fruits:-A Review

There are innumerable fruits and vegetables which are consumed for their nutrients or for their medicinal purposes. In recent times these fruits and vegetables have been shown to possess valuable antioxidants of great nutritional and therapeutic values. Antioxidants are an inhibitor of the process of oxidation, even at relatively small concentration and thus have diverse physiological role in the body. Antioxidant constituents of the plant materials like fruits act as radical scavengers and helps in converting the radicals to less reactive species. A variety of free radical scavenging antioxidants is found in dietary sources such as fruits, vegetables and tea, etc. This review presents some information about the antioxidant/antiradicals and their role in our body and also their presence in a few fruits selected for the study. These fruits namely are pomegranate, guava, papaya and watermelon.
Cutaneous phaeohyphomycosis of foot web by Curvularia lunata

A case of cutaneous phaeohyphomycosis of the foot affecting interdigital spaces between toes in a 31 year old immunocompetent male with no history of diabetes is illustrated. Fugal elements were found in direct microscopic examination of skin scrapping. The etiologic agent was identifi ed as Curvularia lunata based on macromophology and microscopic examination of pure culture growth. The patient was prescribed with a topical cream containing sertaconazole nitrate and oral itraconazole by the treating dermatologist. Nondermatophyte infections clinically mimic dermatophytosis, and microscopically resemble dermatophytes. Therefore, a correct identifi cation of etiologic agent is important for appropriate treatment. Case Report
A Study on Secure Storage of Dynamic Audit Services in Cloud

: Data integrity and storage efficiency are two important requirements for cloud storage. Proof of Retrievability (POR) and Proof of Data Possession (PDP) techniques assure data integrity for cloud storage. Proof of Ownership (POW) improves storage efficiency by securely removing unnecessarily duplicated data on the storage server . The cloud storage service (CSS) relieves the burden for storage management and maintenance. Fragment Structure, random sampling and index table is used to construct the Audit service. These techniques are supported provable updates to cloud outsourced data. The third party auditing allow to save time and computation resources with reduced online burden of the user. In this work, a method based on Probabilistic query and periodic verification for improving the performance of audit services and also audit system verifies the integrity.
Status, Prospects and Potentials of the Commercially Important Species of Sea Urchin, Tripneustes gratilla (Linnaeus 1758) in Malaysia

s: The collector sea urchin, Tripneustes gratilla (Linnaeus 1758) is one of the sea possessions, which has been used as luxury food (i.e., prepared from the gonad) for certain countries. It is not only used as food but also as medicines. Sea urchin has become one of the most important products and fetches high price in international market and thus provide an important employment and income source to the coastal communities in many Pacific island countries including Malaysia due to having higher protein contents, and nutraceutical and pharmaceutical compounds. Nowadays, sea urchins have been harvested for trade with Asia and are perhaps one of the worthy exports from the Indo-Pacific islands. Unfortunately, due to increasing demand and prices, combined with the development of cash economies and growing coastal populations in many islands, it has led to extensive overfishing of the resource across much of this region especially in Pulau Bum Bum and adjacent areas near Semporna between Sabah and Philippines. Nevertheless, there is a high level of interest in adoption of aquaculture and stock enhancement techniques to restore production levels, but different capacity levels require execution of different procedures. Some Pacific island countries and territories have completed research trials of hatchery, nursery and culture techniques, but such types of research are still in the primitive stage in Malaysia. Issues that work in favor of successful aquaculture include pristine marine environments, long familiarity with sea urchins as a commodity, and traditional marine tenure systems that in some places can provide a basis for management of released sea urchins. Presently, the overexploitation of sea urchin turns out to be excessive and disturbs its sustainability. Under such circumstances, aquaculture through the appropriate broodstock management, seed production and grow-out culture techniques in captivate rearing system should be the best alternative to prevent this serious problem to a greater extent.