Miracle-dz/UniFAR-FTUs huggingface dataset:
In search of optimal settings for Ho:YAG laser-lithotripsy to maximize the ablation rate, while minimizing the retropulsion

Although laser lithotripsy is now the preferred treatment option for urolithiasis due to shorter operation time and a better stone-free rate [1], the optimal laser settings for URS (Ureteroscopic lithotripsy) to enable shorter operating times remain unclear. This study aims to identify optimal laser settings for Ho:YAG laser-lithotripsy to maximize the ablation rate while minimizing the retropulsion, as well as to improve the discharge of fragments via the urinary tract. The net result will be an increase in treatment success and patient satisfaction by ameliorating the stone-free rate. In vitro investigations of Ho:YAG laser-induced stone ablation and retropulsion were performed with a bench top model first introduced by Sroka’s group [2]. A commercial Ho:YAG laser system (Lumenis VersaPulse PowerSuite 100W, Lumenis Ltd., Yokneam, Israel) was used as the laser pulse source, with pulse energy from 0.2 J up to 1.5 J and repetition rate from 5 to 40 Hz. A DOE with two replicate points and two lack-of-fit points was performed on artificial BEGO stones of sample size 14 under reproducible experimental conditions (fiber size: 365 μm, S-LLF365 SureFlex Fiber, Boston Scientific Corporation, San Jose, CA, USA). The best fit to the experimental data was analyzed utilizing the design of experiment software, which can produce the numerical formulas for the response surfaces of ablation rate and retropulsion in terms of laser pulse parameters [3]. The coded numerical formulas for the response surfaces of ablation speed and retropulsion velocity are generated. The coded equation is useful for identifying the relative impact of the factors by comparing their coefficients. Upon examination of the laser ablation of stone phantoms (BEGO), the laser pulse energy is 1.4 times the impact of the frequency, and laser pulse peak power’s impact is the same as the frequency; while for retropulsion, the laser pulse energy is 5.8 times as the impact of the frequency, and laser pulse peak power’s impact is 13 times as the frequency; A series of laser settings for relatively efficient laser lithotripsy were identified in terms of laser pulse energy and peak power. The laser pulse energy or peak power in reference to frequency has a higher impact coefficient to stone retropulsion as compared to stone ablation in Ho:YAG laser-lithotripsy. The most effective way to reduce stone retropulsion during laser lithotripsy is to reduce the laser pulse peak power (which has the highest impact coefficient in the coded response equation).
Leptin, adiponectin, and leptin/adiponectin ratio in adolescents with metabolic syndrome

The aim of the current study was to analyze the correlation of leptin, adiponectin and their ratio with obesity-related clinical, anthropometric, hormonal and biochemical variables in adolescents from Bulgarian origin. Patients and methods: The study population included 51 overweight and 21 normal weight schoolchildren – 40 boys and 32 girls, aged 16-19 years. Waist circumference (WC), Body Fat Mass (BFM) and the Body Fat Percentage (BFP) were measured, and Body Mass Index (BMI) and waist-to-hip ratio (WHR) were calculated. The blood pressure (BP) systolic (SBP) and diastolic (DBP), was also measured. Circulating levels of fasting glucose, total cholesterol (TC), high-density lipoproteins (HDL-C), triglycerides (TG), uric acid, fasting insulin, leptin and adiponectin were determined and leptin/adiponectin (L/A) ratio was calculated. Results: In order to find the relationship between leptin and BMI we divided the patients into 3 subgroups according to the BMI. In the overweight (BMI=25-29.9 kg/m) and obese adolescents (BMI≥30 kg/m) leptin concentration was significantly higher, compared to the normal weight ones. In 64% of the overweight ones (n=28) leptin levels were below 25 ng/ml, in 21% leptin was in the range between 2550 ng/ml, and in 14% leptin was over 50 ng/ml. In the obese adolescents (n=23), 13% of the subjects had leptin <25 ng/ml, in 57% of them leptin levels were in the range between 25-50 ng/ml, and in 30% the value of leptin was over 50 ng/ml. We did not find gender specific differences in the distribution of patients in the different subgroups according to the levels of leptin (p=0.114), adiponectin (p=0.922). The mean L/A ratio was also similar between the boys and the girls. Leptin correlated significantly with insulin (p<0.001), BMI (p<0.001), WC (p<0.001), WHR (p=0.001), BFM (p<0.001), BFP (p<0.001), SBP (p<0.001), and DBP (p<0.001). Interestingly, adiponectin did not show any significant correlations with all of the investigated clinical, anthropometric and biochemical variables. Conclusions: Our results demonstrate a positive relationship between leptin levels, L/A ratio and parameters of metabolic syndrome, including BP values in normotensive adolescents with overweight/obesity. Leptin and L/A ratio could be used as markers of metabolic syndrome development in adolescents. Obesity and related disturbances put these children at a higher cardiovascular risk.
Spectrophotometric method development and validation for estimation of Tizanidine and Aceclofenac in Bulk Drug & Tablet formu

The present study deals with UV spectrophotometric method development & validation for estimation of Tizanidine & Aceclofenac in bulk drug & tablet dosage form by viedort’s method & first order UV derivative spectrophotometry. The vierodt’s method involves measurement of absorbance at λmax of Tizanidine & Aceclofenac at 318 nm & 274 nm respectively. The linearity of Tizanidine & Aceclofenac was found to be in the range 0f 1-10 μg/ml & 2-20 μg/ml respectively. The % recovery of Tizanidine & Aceclofenac was found out to be 99.72 % & 99.69 %s respectively. First order UV derivative spectrophotometry (D1 method), the zero crossing method was chosen as Tizanidine could be easily analyzed without any interference from Aceclofenac and vice-versa. Tizanidine was determined by measurement of its D1 amplitude at the zero crossing point of Aceclofenac at (313 nm), While Aceclofenac was determined by measurement of its D1 amplitude at zero crossing point of Tizanidine at (250 nm) The proposed method was validated as per ICH guidelines.
Verbal Fluency Test in Children with Neurodevelopmental Disorders

Abstract Background The verbal fluency task is a widely used psychometric test to account for cognitive functions, particularly, verbal and executive functions. Being an easy and fast test to administer, it is a good neuropsychological tool in low technology environments. Our objective was to analyze the performance in verbal fluency of Spanish-speaking children with neurodevelopmental disorders. Methods We performed a retrospective cross-sectional study to analyze the performance of children who had undergone a verbal fluency test in a neuropsychological assessment. Results We included 115 participants. There were 41 (35.65%) participants with low intellectual performance (LIP), 63 (54.78%) with attention deficit hyperactive disorder (ADHD), and 11(9.57%) participants with dyslexia. Participants with LIP showed lower phonological and semantic fluency scores than participants with ADHD, and a lower performance in semantic fluency than the dyslexia group. The probability of having LIP was 6.12 times greater when somebody had a scale score lower than 7 in the phonological task and it was 7.9 times greater when the scale score was lower than 7 in the semantic task. Conclusion There was a direct relationship between Full Scale Intelligence Quotient and verbal fluency test performance, the latter being a brief and effective neuropsychological test that can reveal deficit not only in executive functions and verbal abilities but also detect LIP.
In vitro Seeds Germination and Seedling Growth of Gymnema sylvestre R.Br. an important antidiabetic medicinal plant

Efficient culture medium and culture condition (dark /light period) for each step of In vitro seeds germination and growth of seedlings were determined in Gymnema silvestra R.Br. Different ages (immature, mature and dry seeds) of seeds germination were found within 6 to 10 days on MS half /MS full medium and growth of seedlings were obtained on MS medium in six weeks. The maximum percentage of seeds germination (98+0.30%) were found on MS half strength medium incubated 120 hours in dark period from immature seeds. Numbers of seeds germination were observed on MS half and full basal medium with 3% sucrose and 0.8% agar with longer dark period. Germinated seeds were subculture on MS salt supplemented with BAP, NAA and KI (alone and in combination) with different concentration. The best seedlings growths (6.0+0.31cm.) were obtained on MS medium containing (BAP-1.0mgL+ NAA-0.1mgL + KI-0.5mgL) within six weeks culture. [Pratibha Gupta, Shagufta khan, Sujata Ganguly, Pratibha Singh. In vitro Seeds Germination and Seedling Growth of Gymnema sylvestre R.Br. an important antidiabetic medicinal plant. Researcher. 2012;4(4):43-50]. (ISSN: 1553-9865). http://www.sciencepub. net. 8 Key wordsBAP – (6Benzyl amino purine), NAA – (1Naphthalene acidic acid), Kinetin-(6furfuryl aminopurine), MSMurashige & skoog, Immature seeds (green seeds), Mature seeds (yellow seeds), Dry seeds (brown seeds), Gymnema sylvestr R.Br.
A Move toward Fast and Consistent Broadcast of Safety Messages in VANETs

: Vehicular AdhocNETworks (VANETs) relies on continuous data exchange among vehicles and vehicles to roadside units (RSU) to aid road safety, route planning, etc. A transition from free flow to congested traffic on highways often spontaneously originates, despite the fact that the road could satisfy a higher traffic demand. The reasons for such a traffic breakdown are perturbations caused by human drivers in dense traffic. To deal with this constraint, the paper provides a three stage congestion control algorithm as follow; priority assignment to the safety messages broadcasted depending upon the path followed by the vehicle transmitting that particular message, congestion recognition stage, and ultimately beacons transmission rate adjustment. The simulation results (done with ns-2) clearly depict that as soon as congestion is detected; applying beacon rate adjustment algorithm improves the system performance.
EFFICIENT CLINICAL DATA ANALYSIS USING INTERNET OF THINGS

Analyzing abundant healthcare data is a computationally intensive task and combining with standard clinical data adds additional layers of complexity. There are various pervasive healthcare techniques available but still advancements are always open in this area with respect to improvement of efficiency in terms of cost, precision and speed. The proposed healthcare monitoring system is designed to gather and share patient information directly with healthcare monitoring system, making it possible to collect, record and analyze new data streams faster in order to accurately describe the health and fitness of the patients. The analysis part is done on the monitoring centre using big data which takes care of large scale distributed processing. The speed is taken care by means of including a distributed cache mechanism. The proposed system design includes two type of cache memory, one is local centralized cache, and other is distributed cache memory. These cache memories are used for reducing the recompilation time. Thus improvisation is provided in speed and time of computation and decision making.
Novel Grayscale Image Watermarking Using Extreme Learning Machine

— A newly developed single Layer Feed Forward Network based Extreme Learning Machine (ELM) is well known for its fast learning. It has been used for different application including those in the domain of image processing. However very few researchers are using it for image watermarking based application. In this paper, a novel and robust image watermarking scheme is proposed using Extreme Learning Machine (ELM) for four grayscale images. The proposed scheme trains the ELM by using low frequency DCT Coefficients which produces a sequence of normalized 1024 real numbers used as watermark. The visual quality of the host images is evaluated using PSNR & SSIM and is found to be very good. Computed high values of Similarity Correlation and Normalized Correlation establish that the extraction process is successful. Robustness studies are carried out by applying five image processing attacks. Extracted watermarks after attacks clearly indicate that the embedding scheme is robust against the selected attacks. The complete watermarking scheme is carried out in second time span which makes it fit for good practical applications required with fast time lines.
A Novel Two-tier Classifier based on K-Nearest Neighbour and Neural Network Classifier for Emotion Recognition using EEG Signals

-Emotion has a significant part in cooperation and correspondence between individuals. Emotion can be communicated either verbally through emotional vocabulary, or by communicating non-verbal prompts, for example, sound of voice, outward appearances and motions. As of late, estimation of human emotions from Electroencephalogram (EEG) signals assumes a crucial part in evolving academic Brain Computer Interface (BCI) devices. In this article we present a novel approach to classify human emotions using a two-tier classifier which is a combination of both K-Nearest Neighbour (K-NN) and Neural Network (NN) classifier. The useful informations for classification is extracted from the input EEG signals after noise removal which is done by the process of pre-processing. The proposed work is implemented on MATLAB and the simulation results are presented.
Cerebral Palsy and Ayurveda. J Nat Ayurvedic Med 2018, 2(4): 000138

Cerebral palsy is a commonest chronic and progressive disease of mental and physical disability among children and affects 3-8% population which fails to respond the present technologies or medication of modern medicine. Objective of the Study: To evaluate a proven herbal neuro regenerative and neuro vigorative composite NEUROVIT in modifying therapeutic outcome and life style improvement of Cerebral palsy cases. Material & Methods: Cases suggestive of Cerebral palsy attending Institute of applied neurology, Aarogyampunarjeevan, Ara Garden Road , Jagdeo path, Baily Road Patna 14 and National Institute of Health & Research, Warisaliganj (Nawada) Bihar were selected for the study. Selected patients were clinically examined as per various grades of activity to adjudge the severity of illness and investigated for baseline biostatus to evaluate therapeutic outcome and safety profile. Result: Herbal composite ensured marked improvement in all parameters i.e. motor power, muscle tone, mental capability and intelligent quotient (IQ) in 96.7% cases without any disease related complication and drug related sequel. Discussion: Cerebral palsy a chronic condition with considerable morbidity more in male and in lower middle class due to health ignorance unhygienic environment and lack of proper antenatal and obstetric care having increased risk multiple birth, neonatal asphyxia and premature delivery. Conclusion: Though Cerebral palsy has no cure in modern medicine in spite of advancement in technologies and therapeutics but cases diagnosed at early age and, treated with herbal composite adjuvant NEUROVIT Syrup in prescribed dose with other supplement achieve marked clinical improvement and improved lifestyle in 96.7% cases.
Computational Study On Blade Of Micro- Capacity Wind Turbine

Nowadays electricity is one of the most important basic needs for the human being. We have to shift from conventional to nonconventional energy resources, since conventional energy resources will deplete day by day. Among the renewable energy sources, the cheapest is the wind energy and available in large intensity. Electricity which is produced by wind turbine is having without damaging natural balance and can be available in affordable cost. Field testing of HAWT wind turbine is carried out in order to calculate the output power of wind turbine and it is compared with the theoretical power. This paper describes the Geometric modelling of Wind Turbine Blade using INDTH 4412 airfoil. Optimum angle of attack for INDTH 4412 airfoil was found to be 4°, and the Computational study for the Blade is carried out at 4° angle of attack. C-mesh domain is used to discretize the computational domain. Computational Fluid Dynamic (CFD) analysis is performed on the blade and study is carried to determine lift and drag coefficient, results of which help to improve performance of Wind turbine.
Nursing Staff’s Knowledge about and Skills in Providing Oral Hygiene Care for Patients with Neurological Disorders

Several hospitalized patients with neurological disorders depend on nursing staff for their daily health care. Due to several functional limitations of the limbs, oral motor impairments, neglect, apraxia, and hemianopia, oral hygiene self-care is difficult to perform and therefore adequate oral health is difficult to maintain [1]. Next to that, oral dysfunction related to oral motor function, mastication, swallowing and saliva control may be affected and does not always recover completely during rehabilitation [2]. Due to both physical and oral dysfunction, adequate oral health may be threatened, because the affected functions hinder this population when performing daily oral hygiene self-care. Consequently, the responsibility for completing oral care in neurological patients often falls to the nursing staff. Oral health has not been given priority in nursing practice, because there are competing priorities regarding the care nurses provide, but it should become a task with higher priority [3,4].
A Design Pattern Structure Specification to Extract Statistical Report

Design patterns are ecological abstract documents which offer acceptable solutions for the continual issues. It allows developers to communicate in a well-known way with the system design. This paper reviewing set of research articles to know the current trend on design pattern’s applications. This research also introduces the structure of a new pattern that acts as data analyzer of any software given as input. This pattern acts as centralized data storage of concrete class objects. The instances are analyzed by various functionalities of analyzer in-order to derive results. It helps to solve some of the day to day problems faced by the software designer. This pattern provides services for a group of concrete members to design set of functionalities in order to support data analytics. The structure and its applicability on software are examined, using a case study
AUGMENTED REALITY USING CONTOUR ANALYSIS IN e-LEARNING

Augmented reality (AR) has been increasingly applied in various fields. It is a new technique of the computer vision application used to facilitate interaction in the digital arts. We propose an augmented reality learning system that enables user to recognize alphabets or any character (pattern recognition). We are using contour analysis for processing an image. As Contour Analysis allows to describe, store, compare and find the object presented in the form of exterior outlines, solve the main problems of a pattern recognition - transposition, turn and a rescaling of the image of object. CA methods are invariant to these transformations. It provides more realistic interaction. It is an advance method and could be a promising technology for motivating users to engage in learning systems.
Traffic Management on Road using Density Aware Routing

— These Traditionally traffic safety was addressed by traffic awareness and passive safety measures like solid chassis, seat belts, air bags etc. With the recent breakthroughs in the domain of mobile ad hoc networks, the concept of vehicular ad hoc networks (VANET) was realised. Safety messaging is the most important aspect of VANETs, where the passive safety (accident readiness) in vehicles was reinforced with the idea of active safety (accident prevention)[5]. In safety messaging vehicles will message each other over wireless media, updating each other on traffic conditions and hazards. Security is an important aspect of safety messaging, that aims to prevent participants spreading wrong information in the network that are likely to cause mishaps. In this paper we propose Traffic management with Density Aware Routing (TMDAR) which is based on realistic road topology. TMDAR exploits the available road hierarchy information to transfer data from source to destination .
Biogenic Producing Selenium Nanoparticles by Clostridium Perfringens

Since past ages up to now there is different bacterial and microbial infection which through food, staff and other ways could cause different untreatable in human and animals. In these ways there are different antibacterial ways for threating of the sickness but in the modern world at the same time with development of different science such as nanotechnology, different study have been done on produce and feature of antibacterial effect of nanoparticles such as silver and gold. In continue of this study different ways for producing one reliable and less expensive nanoparticles in progressing which consequently using of the nanomaterials in different medical, food and industrial science could give a bright perspective for using exact and less expensive treatment against different bacterial and microbial has opened of modern man. One of the best ways of production nanoparticles is utilizing biologic methods by the microorganism themselves. Such ways are not only less expensive but also more economic and purer and they cause that side effect in human binges decreases. In present study production of nanoparticles of selenium which has been produced in biogenic way by bacteria of Clostridium Perfringens has been studied for the first time. This bacterium can cause of clinical illness such as Gangrene, but this bacterium can produce nanoparticles of selenium in natural environment in storing and intracellular forms. In this study production of biometric nanoparticles by Clostridium Perfringens with great stability has been studied and size and quality of nanoparticles in comparison with nanoparticles of selenium produced of Klebsiella pneumonia have been evaluated. Findings show that selenium nanoparticles produced by Clostridium Perfringens have more purity and stability in comparison with selenium nanoparticles produced by Klebsiella pneumonia. Nanoparticles of selenium which has been produced in comparison whit other methods such as biogenic with amount, purity, and stability which by using this bacterium there is possibility for nanoparticles to by extracted through spreading nanoparticles to extracellular environment will be possible.
Parent-child relationships after parental separation: Adult children’s retrospective reports

Research with adult children of divorce (ACD) has contributed to literature suggesting the adverse long -term effects of parental separation and divorce. The role of the parent-child relationship following parental separation, when a parent’s availability and support might well be especially important for a child, particularly if there is ongoing parental conflict, has received little empirical attention and was examined here. The present investigation was designed to assess ACDs’ retrospective ratings of their mothers’ and fathers’ parenting in the two years following parental separation. ACDs’ reports of each of their parents’ dating behaviors as well as the conflict they remembered between their parents during this period were also examined. The results of the present investigation indicate that ACD view their mothers’ and fathers’ parenting behavior in the two years following separation as an important factor related to their current relationships with each of the ir parents. Indexing terms/