Miracle-dz/UniFAR-FTUs huggingface dataset:
The Theoretical Foundations of Dispersion of Amplitude-Frequency Characteristics of the Alpha Rhythm of the EEG

The main reason that caused the writing of this article, is the deep crisis in which is present the science of studying the brain in General and psychiatry, and neurophysiology, and addictology, and many other areas of science associated with it. The journal World Psychiatry [1] outlined the problem as the need for new paradigms, the underlying of ideas about how the brain works. In particular, why there are mental illness and what is actually mental illness.
471-476 Sara-Azimas

Primary dysmenorrhea is one of the most prevalent d ebilitating problems in reproductive ages. This study aimed to compare the effects of reflexology and massage therapy on pain tensity, pain duration, and anxiety level resulting from primary dysmenorrhea. This controlled clinical trial was conducted on 102 students with primary dy smenorrhea. The samples were randomly divided into reflexology, massage, and control grou ps. In the first group, reflexology was done 20 min per day for 10 days. Besides, the second gro up received massage with lavender essence. The interventions were done in both groups for 2 co nsecutive menstrual cycles. The participants’ pain intensity was measured using Visual Ana log Scale (VAS) and their anxiety level was evaluated by Spielberger’s questionnaire. Pain duration was assessed, as well. The measurements were performed before and at the end of the s econd and third menstrual cycles. The results showed a significant difference among the thr ee groups regarding pain intensity in the second and third months (P>0.001) and pain reduction was more considerable i n the massage group. Also, a significant difference was observed among the three groups concerning the mean of pain duration in the second and third months (P=0.01). However, the three groups were not significantly different with respect to the mean anxiety levels. Yet, within-group comparisons revealed a significant reduction in anxiety level i n the massage group (P=0.017). Based on the study findings, it seems that both reflexology and massage therapy were effective in the reduction of some symptoms of dysmenorrhea.
Diabetic Retinopathy Screening (DRS)

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract The robust detection of red lesions in digital color fundus images is a critical step in the development of automated screening systems for diabetic retinopathy. Diabetic retinopathy is damage to the retina of human eye which is caused by the complication of increase in blood glucose level which can eventually leads to blindness. The longer the patient has diabetes the higher the chance of developing diabetic retinopathy. In this paper, we introduce a novel method for automatic detection of red lesion in retinal images using dynamic shape features. Dynamic shape features is defined as new set of shape features. These features represent the evolution of the shape during image flooding and allow discriminating between lesions and vessel segments using watershed segmentation.
A STUDY OF MEDICATION ERRORS IN GENERAL MEDICINE WARDS OF THE SOUTH INDIAN TERTIARY CARE HOSPITAL

ABSTRACT Objective: To identify and evaluate medication errors, opportunities like medication documentation errors and possible drug-drug interactions by a clinical pharmacist, in general, medicine wards of the South-Indian tertiary care hospital. Methods: A study was conducted for a period of 6-month. The data were collected by chart review method from the inpatient records from the day of admission to the day of discharge. If medication error or any opportunity to cause error was observed, it was documented and clinical pharmacist interventions were done. The parameters, such as medication error rate, types of errors, opportunities of errors, and outcome of errors, were evaluated. Results: A total of 32 medication errors were reported in 497 patients and the medication error rate was 6.4%. Administration errors (28; 87.5%) were found to be higher than prescription errors (4; 12.5%). Omission error was the most common (12; 42.9%) administration error. Factors which increase the risk of medication errors such as medication documentation errors were found in 316 (63.6%) medication orders and 203 (40.8%) had 574 possible drug-drug interactions of which the majority (65.2%) of the interactions were of moderate severity. The outcome of error was found to be error, no harm category for the majority (90.6%) of errors. 32 pharmacist interventions were done and 29 (90.6%) were accepted by health-care professionals. Conclusion: A medication error reporting is a new and evolving concept in Indian hospitals. This study highlights the role of a clinical pharmacist in detection, evaluation, and prevention of medication errors in an Indian hospital. Keywords: Medication error, Hospital, Medication error outcome, Clinical pharmacists’ intervention, Documentation errors.
Approaching Neighbors in Efficient and Fastest Manner

: General spatial queries, like as nearest neighbor retrieval and range search, contains only restrictions on objects’ geometric characteristics. Presently, lots of trendy apps call for new forms of queries that target to discover objects fulfilling both a predicate on their related texts and spatial predicate. For sample case, rather considering all the bookstalls, a query of nearest neighbor would rather ask for the bookstall that is the nearest among those whose catalog contain “Drama, scientific, comics” all at the same place. Present the most excellent solution to those queries is depending on the IR2-tree, which was explored in this thesis has a few shortages that seriously affect its efficiency. Due to these circumstances, we build up a new access process known as the spatial inverted index that enlarges the conventional inverted index to manage with multidimensional information and along with algorithms that can respond nearest neighbor queries with the help of keywords in particular time. As confirmed by tests the projected techniques do better than the IR2-tree in query reply time appreciably, often by a aspect of magnitude orders.
SATELLITE IMAGE DENOISING USING LINEAR WAVELETS

— Modeling of two major linear wavelet denoising techniques; Poisson Unbiased Risk Estimate Linear Expansion of Thresholds (PURELET) and Stein’s Unbiased Risk Estimate Linear Expansion of Thresholds (SURELET) in application to satellite images is presented in this paper. Satellite image sensors are often corrupted by noise that is effectively enhanced by estimation of noise and robust denoising algorithm application. By dynamic thresholding of unbiased estimates, optimized enhancement of spatial resolution can be obtained. Poisson unbiased risk estimate (PURE) is an unbiased estimator of the mean square error between the original and estimated images. Stein’s unbiased risk estimate (SURE) is the apriori estimation of Mean Square Error resulting from an arbitrary processing of noisy data for the additive Gaussian noise model. By minimizing the unbiased estimates using Linear Expansion of Threshold (LET), noise can be significantly reduced and resolution can be enhanced.
Torque Ripple Minimization of a Switched Reluctance Motor using Fuzzy Logic Control

Switched Reluctance Motors (SRMs) are attractive for industrial applications because of their simple construction and low cost, ruggedness, the capability to cover a wide speed range and relatively high torque-to-mass ratio. The primary disadvantage of an SRM is the higher torque ripple compared with conventional machines, which contributes to acoustic noise &amp; vibration. The origin of torque pulsations in an SRM is due to the highly nonlinear & discrete nature of torque production mechanism. The total torque in an SRM is the sum of torques generated by each of the stator phases, which are controlled independently. Torque-ripple reduction in switched reluctance motors (SRM) has become a major research theme. In servo control applications or when smooth control is required at low speeds, reduction of the torque ripple becomes the main issue in an acceptable control strategy. In this paper intelligent controller such as Fuzzy Logic Controller current compensating technique is employed for minimizing the torque ripples in switched reluctance motor. For the purpose of comparison, the performance of conventional ProportionalIntegral (PI) controller and PID controller are also considered. The statistical parameters like minimum, maximum, mean of total torque and torque ripple coefficient are reported.
Design and Development of Memristor Based Combinational Circuits.

— Now a days the memristor based devices are gaining a lot of attention because of its nano device range and its non-volatile memory. The objective of our research work is to design an efficient, low power Combinational Circuits using memristor and to compare the performance of the memristor based combinational circuits with CMOS based combinational circuits using EDA tools. In this paper we are focusing on the design of full adder, full subtractor
Food Science and Nutrition Technology

Cowpea is an important food crop that is widely consumed as a protein and energy source despite its limitation and high cost when compared to other grains, with the use of acha gaining popularity. The present study was conducted to highlight the diverse potential and domestic applications of acha as well as its nutritional value. The nutritive properties of the cowpea-acha composite flour blends were investigated as well as the proximate and sensory properties of pudding (moin-moin) developed from the blends. Cowpea (100%) was used as the control and substituted with acha at different ratio from 10-50%. The flour blends were analyzed for, functional, chemical composition and pasting properties, while proximate composition and sensory evaluation was done on the products. The functional properties showed that bulk density, oil and water absorption, solubility and swelling power increased with substitution of acha and ranged from 0.74-0.80g/mL, 1.20-1.29%, 1.13-1.45%, 20.92-30.14% and 7.03-9.89% respectively, while dispersibility decreased from 76.00-74.50%. Chemical analysis of cowpea-acha composite flour blends showed that there were no significant (p˃0.05) differences in moisture, fat, fiber and carbohydrate contents, while ash, protein, starch, sugar, amylose and amylopectin showed significant (p˂0.05) difference. The pasting characteristics of cowpea-acha blends showed that peak and breakdown viscosities reduced as the level of acha substitution increased, while trough, final and setback viscosities increased with an increase in the level of acha substitution with all pasting parameters showing no significant (p˃0.05) difference. The sensory evaluation result indicated an organoleptically acceptable pudding from different blends of cowpea and acha with the 100% cowpea (control) as the most preferred.
International Journal of Soft Computing and Engineering

This paper presents an intense hybrid search method that uses Genetic Algorithms (GAs) and local search procedure for global optimization. The Genetic Algorithms (GAs) comprise a selection process, a crossover process and a mutation processes and local search procedure that uses Powell’s method for updating the parameters of the objective functions. The performance of the designed algorithm is tested on specific benchmarking functions namely; Rastrigin function, Rosenbrock function, Schwefel’s function 2.22, Schwefel’s function 2.21 and Sphere's function. The computational results have demonstrated that the performance of Genetic Algorithms with Powell’s Method is much improved specific benchmarking functions. The use of a hybrid search method approach allows it to speed up the learning of the system with faster convergence rates. The Genetic Algorithm with Local Search Procedure (GALSP) is applied for soling exam timetabling problem. The GALSP seems to be a promising approach and is comparable to specialized algorithm for solving a set of global optimization problems. The algorithms of these processes have been designed and presented in the paper.
Impact of Integrated Whole Body

Combined PET/MR is a relatively new technique and so far there has been a very limited report of the potential simultaneous PET/MR and PET/CT application in the evaluation of neuroendocrine tumours. The present study aimed to compare "Ga-DOTATATE PET/CT and PET/MR imaging in patients with known neuroendocrine tumours (NET) and assess the confidence in anatomic lesion detection and localization. We analysed the data of 37 NET patients who underwent both 68 Ga-DOTATATE PET/CT and PET/MR using the same injected activity. Visual findings by two observers of the two modalities were recorded. SUV max of both primary tumour and liver lesions for both modalities and PET/MR derived apparent diffusion coefficient (ADC) values were measured. To study the value of additional MRI sequences, the differences in performance between PET with T1+T2w, PET with DWI reads, and PET with post contrast was assessed. No significant differences between the two modalities were seen regarding the number of patients affected by primary or metastatic disease. However, counting the number of lesions per patient, both observers were able to recognize more liver lesions in MRI T1 and T2. The interclass correlation coefficient (ICC) demonstrated a strong correlation between SUV max derived from PET/CT and PET/MR in both primary lesions (ICC = 0.92; p = 0.001) and liver (ICC = 0.882; p = 0.001). In the evaluation of lesion per patient, PET+ contrast and DWI detected more metastasis than the evaluation of PET +T1 and T2 alone. There was no significant correlation between ADC values and PET/MR SUV max of the tumour (respectively: p = 0.43, p 0.88 and p = 0.295). PET/MRI has comparable accuracy in localization and staging to PET/CT, and has a potential to become a valid alternative to PET/CT in staging and follow up of NET patients, with advantages in the characterization of liver lesions. In our study DWI and contrast helped to detect more lesions.
DRUG NANOCRYSTALS: A NOVEL FORMULATION APPROACH FOR POORLY SOLUBLE DRUGS

During the last two decades, many modern technologies have been established in the pharmaceutical research and development area. The automation of the drug discovery process by technologies such as highthroughput screening, combinatorial chemistry, and computeraided drug design is leading to a vast number of drug candidates possessing a very good efficacy. Unfortunately, many of these drug candidates are exhibiting poor aqueous solubility. The use of drug nanocrystals is an universal formulation approach to increase the therapeutic performance of these drugs in any route of administration. Drug nanocrystals are crystals with a size in the nanometer range, meaning that they are nanoparticles with a crystalline character. This review article describes the physicochemical properties of drug nanocrystals, production methods & potential clinical advantages.
Nano Structured lipid carriers :A Novel Topical drug delivery system

Topical drug application has been introduced since long time to achieve several purposes on different levels (skin surface, epidermis, dermis and hypodermis). However, several problems have been reported with the conventional topical preparations e.g. low uptake due to the barrier function of the stratum corneum and absorption to the systemic circulation. The scientific literature today provides several systems that can deliver active pharmaceutical ingredients (APIs) across the skin. These include reservoir matrices, matrix diffusion-controlled devices, multiple polymer devices and multilayer matrix assemblies. Among these, topical application of the Solid lipid nanoparticles(SLN) nanostructured lipid carriers (NLC) have emerged as novel systems composed of physiological lipid materials suitable for topical, dermal and transdermal administration. This review focus on, the potential of NLC in Topical delivery system.Topical drug application has been introduced since long time to achieve several purposes on different levels (skin surface, epidermis, dermis and hypodermis). However, several problems have been reported with the conventional topical preparations e.g. low uptake due to the barrier function of the stratum corneum and absorption to the systemic circulation. A lot of research groups paid attention to the topical application of the Solid lipid nanoparticles(SLN) and Nano Structured lipid carriers(NLC). This review presents a broad treatment of Nano Structured lipid carriers(NLC) discussing their advantages, benefit/risk ratios and their possible remedies.Different production methods which are suitable for large scale production and applications of Nano Structured lipid carriers (NLC) are described. Appropriate analytical techniques for characterization of Nano Structured lipid carriers (NLC) like Image analysis , differential scanning calorimetry,Zeta Potential, HPLC are highlighted.Modulation of drug release, factors affecting drug release and application areas are also explained with the drugs incorporated in Nano Structured lipid carriers (NLC). If appropriately investigated, Nano Structured lipid carriers (NLC) may open new vistas in therapy of complex diseases.
Modified Lowry’s Method for Acid and Pepsin Soluble Collagen Measurement from Clarias Species Muscles

Collagen is the most abundant animal protein polymer, accounting for almost 25 to 30% of total protein in animal body [1,2]. Being one of the extracellular matrix constituents of multi-cellular animals [3], it can be found in connective tissues and served as major component of bones, cartilage, skin, tendons, ligaments, blood vessels, muscles, teeth and other organs of vertebrate [4,5]. Studies on extraction of both mammalian and aquatic collagens have been extensively carried out recently due to its broad applications in cosmetic, biomedical and pharmaceutical industries [6]. Widespread utilization of collagen as a biomaterial is urging the needs of developing a reliable and effective routine collagen measurement method. This ensures better control of the collagen extraction process by rapid determination of collagen concentration in the extraction medium from time to time.
Effect of minimal cuff inflation with thermo softening of the endotracheal tube to minimize the trauma during naso tracheal intubation – observational study

Introduction and Objective: Several techniques and modifications have been to put forward to decrease the decrease nasopharyngeal trauma and epistaxis. This study evaluated the effect on partial inflation of the thermo softened endotracheal tube cuff to reduce bleeding. Materials and Method: This observational study was done at IRT Perunthurai Medical college Hospital after the institutional ethical committee approval between April 2013 and August 2013 at the main operating theater complex. 20 patients who were scheduled for open reduction and internal fixation of mandible that required nasal intubation were chosen following a formal written informed consent. Nasal pharyngeal anatomy was screened by an ENT surgeon and noted accordingly as a part of pre-anaesthetic assessment for adequate nasal patency. In the operating room after nasal decongestion and lubrication appropriate thermo softened tube is introduced in the preferred nostril with the cuff inflated with a minimal volume of air not exceeding 2 milliliters. Ease of passage of the endotracheal tube, degree of bleeding during laryngoscopy and post-operative nasal pain were observed by the anaesthesiologist who performed the laryngoscopy and Magill forceps assisted nasotracheal intubation. Results: When observed the bleeding ranged from a thin to a thick streak which indicated that there is definitive reduction in the amount of trauma induced by the passage of the inflated thermo softened endotracheal tube with minimal cuff inflation. Conclusion: Partial inflation of the cuff in a thermo softened tube was found to be very effective in reducing the nasopharyngeal trauma thereby significantly decreased the incidence of epistaxis and its related complications.
INTERNATIONAL JOURNAL FOR ADVANCE RESEARCH IN ENGINEERING AND TECHNOLOGY

: Electronic mail (E-mail) is an electronic message system that transmits messages across computer network. Electronic mail is the easiest and most efficient communication tool for disseminating both wanted and unwanted information. There are many efforts under way to stop the increase of spam that plague almost every user on the internet. Managing and deleting scam or unwanted messages pose negative effects to user’s productivity. However the attack of scam on business site also affects the customer. There is an increasing trend of integration of anti-spam techniques into mail transfer agent whereby the mail systems themselves also perform various measures that are generally referred to as filtering, ultimately resulting in spam messages being rejected before delivery or blocked. This paper present a E-mail intelligent system using Bayesian algorithm to reduce overload on mail traffic, shutdown of mailbox and waste of disk storage on mail server.
Vinay K Electrical Conductivity Studies on Aldazine Metal Complexes

44 www.ijerm. com  Abstract— Electrically conducting organometallic complexes are considered to be the most interesting area among the transition metal containing complexes. Because of their great flexibility, paramagnetic properties and diverse structural aspects, a wide range of N-azine based transition metal complexes has been prepared and their complexation behavior was explored. Transition metal-aldazine complexes have been of crucial concern for many years because such transition metal complexes play a vital role in the conduction of molecular materials, which exhibits distinctive conducting properties and finds applicability in diverse areas such as material chemistry and biochemistry. In this present work, author has put an effort to prepare different transition metal-aldazine complexes by microwave method using N-azines as ligands. The investigation of D.C electrical properties of synthesized metal-aldazine complexes was done at a varied temperature from 424K to 540 K.
Modeling and Simulation of Micro Grid System Based on Renewable Power Generation Units by using Multilevel Converter

The concept of multilevel inverters introduced about 20 years ago entails performing power conversion in multiple voltage steps to obtain improved power quality, lower switching losses, better electromagnetic compatibility, and higher voltage capability. The benefits are especially clear for medium-voltage drives in industrial applications and are being considered for future naval ship propulsion systems. Several topologies for multilevel inverters have been proposed over the years; the most popular cascaded H-bridge apart from other multilevel inverters is the capability of utilizing different dc voltages on the individual H-bridge cells which results in splitting the power conversion amongst higher-voltage lowerfrequency and lower-voltage higher-frequency inverters. Considering the cascaded inverter to be one unit, it can be seen that a higher number of voltage levels are available for a given number of semiconductor devices. In this paper a 5 level Cascaded H-Bridge for micro grid application is proposed. Considering the system as separate inverters, the cascaded design can be regarded as a combination of a bulk power (higher-voltage) inverter and a conditioning (lower-power) inverter. A SIMULINK based model is developed and Simulation results are presented. Keywords-Cascaded H-Bridge, Multilevel Converter, PWM, Micro Grid