Miracle-dz/UniFAR-FTUs huggingface dataset:
STUDY OF THE PARAMETERS NECESSARY TO DEFINE THE VEHICLE MANUFACTURING ENVELOPE

This document provides a method for modeling a maneuverability envelope of a vehicle in a parking lot of any size. The method uses the turning radius, the vehicle size and the type of parking to be used to determine the parking trajectory. Parking space management requires knowledge of the minimum space occupied by a vehicle; therefore, it is important to define the width and length occupied by a vehicle. To do this, we must consider the size of the desired location, as well as that of the circular road. In this paper, we have to studies about parallel parking, perpendicular parking and angle parking
A Practical Guide for Teachers of Communication Skills: A Summary of Current Approaches to Teaching and Assessing Communication Skills

‘Effective communication between doctor and patient is a central clinical function that cannot be delegated. ’ The important role of doctor–patient communication in the consultation is now widely accepted. There is substantial research evidence to support the view that good communication skills have far-reaching benefits including enhanced patient satisfaction, symptom resolution and improvements in functional and psychological status. A considerable amount of research has identified what constitutes good communication skills and how these skills are best taught. Medical practitioner licensing authorities worldwide have recommended that communication skills training becomes an integral part of undergraduate medical education. For example, the Irish Medical Council states that: ‘Effective and sensitive communication with patients, relatives and colleagues is an important component of the management of clinical problems. Systematic training is needed to develop these skills’. 10 A difficulty for the current generation of communication skills teachers is that many of us have not had the experience of being formally taught communication skills ourselves. The purpose of this paper is to serve as a practical guide for those involved in the design and delivery of communication skills programmes. It summarises the main findings from the current literature with particular emphasis on teaching and assessing communication skills at an undergraduate level.
Globalization and Industry 4.0: A Theoretical Review of Their Impact on Training and Retraining of Employees in Developing and Underdeveloped Countries

The state of business operations’ method is changing rapidly and assuming a new dimension and organizations that fail to synchronize these changes with potent strategies risk speedy entropy. Technology is changing the world and its impact on virtually every aspect of human life is unfathomable. Therefore this paper looked at how globalization and industry 4.0 will affect training and retraining of employees in the developed and underdeveloped countries. After careful extant literature review, it proved that both globalization and industry 4.0 are phenomena driven by increased growth of technology in the West over the years. However, the study showed that developing and underdeveloped nations have not fared well in the midst of globalization movement as the losses incurred has exceeded the much promised benefits and a new era is about to be born which will entirely change manufacturing dynamics. In this circumstance, we deduced that for organizations operating in developing and underdeveloped countries to transit to the new era, training and retraining of their workforce must be on top gear so as to upscale their skills to meet the new challenges ahead. In line with that we recommend that organizations operating in developing and underdeveloped world should be conscious of the revolutionary and evolutionary nature of global business environments and ensure that they adapt appropriately without losing sight of the imperialistic tendencies of the West; that before the adoption of industry 4.0 system, there is need for a proper identification of the required skills set before following it up with adequate training and retraining programs to upscale their skills in that direction and also reduce the tendency for resistance and failure.
PHYTOCHEMICAL AND ANTIOXIDANT POTENTIAL OF FRUIT AND LEAF EXTRACTS OF

Plants were being used in the treatment of diseases for Coccinia.grandis, a traditionally significant plant has been studied for its medicinal properties. The fruits of this plant were used as the ingredient in variety of recipes all over the world. The leaves and fruits of C.grandis were collected and their ethanolic extracts were subjected to phytochemical screening and done. HPLC was done to quantify the compounds present in the extracts. Antioxidant activity of the extracts was also carried out to determine the free radical efficiency of the extract. The results of the phytochemical analysis of the m showed that the terpenoids, reducing sugar, flavonoids and proteins were found to present in significant quantity. The comparative analysis indicates that the fruit extract shows better antioxidant and phytochemical than the leaf extract.
LCPMOS : An Area Efficient Leakage Power Reduction In CMOS Circuits

In deep submicron technologies, leakage power becomes a key for a low power design due to its ever increasing proportion in chip’s total power consumption. Power dissipation is an important consideration in the design of CMOS VLSI circuits. High power consumption leads to reduction in battery life in case of battery powered applications and affects reliability packaging and cooling costs. We propose a technique called LCPMOS for designing CMOS gates which significantly cuts down the leakage current without increasing the dynamic power dissipation. LCPMOS, a technique to tackle the leakage problem in CMOS circuits
An Efficient PAPR Reduction with Transmitted Power using Gaussian Distribution in OFDM

This paper works on the reduction of PAPR with reduced transmitted power of OFDM using Gaussian distribution. Peak power to average power ratio in case of OFDM is quiet large due to adding of subcarrier coherently.The proposed technique extract the basic features of Gaussian distribution in companding for efficient transmission of OFDM with orthogonal subcarrier by improving peak signal power simultaneously with average power .
A Survey on Detection of False Data Injection Attacks in Smart Grid Communication Systems

-------------------------------------------------------------------Abstract--------------------------------------------------------------------- The transformation of ancient energy networks to smart grids will assist in revolutionizing the energy business in terms of dependability, performance and tractability. On the opposite hand, the augmented property of facility assets for bidirectional communications presents very high security vulnerabilities. Few matching approaches is found to be strong for detective work false knowledge injection attacks still as different attacks within the good grids. Once the attack is detected, system will take preventive action and alarm the manager to require preventative action to limit the danger. This paper is a survey of varied such methodologies to sight the attacks from the provided knowledge.
Design and Implementation of Solar Charge Controller with MPPT Algorithm Using Synchronous Buck Converter: Arduino Based

— In a world of increasing energy demand, it is imperative to come up with innovative solutions to reduce and conserve energy use. There is a significant interest in creating an environmentally friendly system that will save money on electricity and maximize the cost return on investment for solar panels. The photovoltaic industry continues to strive to create efficient and inexpensive systems that can be competitive with other energy sources. The irradiation and temperature are not stable for a PV panel, therefore the electricity generations of the PV panel is not stable. So the maximum power point tracking (MPPT) techniques are used to give the highest power to the loads or batteries. The MPPT process with Perturb and Observe method is performed with a power electronic circuit and it overcomes the problem of voltage mismatch between the PV panels and the batteries/loads. In this study, an Arduino Nano (microcontroller) is employed to develop battery charge control system for PV panels. The proposed system is composed of an Arduino Nano, sensors, synchronous buck converter, a Wi-Fi module (ESP8266), USB charging circuit
Prevalence of Anemia in Hypothyroidism:Systematic Review and Meta-Analysis

Objective: To evaluate the prevalence rate of different types of anemia in hypothyroidism patients. Methods: Eight databases were searched systematically for any original study measuring the prevalence rate of anemia in hypothyroidism. In addition, manual search with different methods was performed to retrieve all possible studies. Three independent reviewers scanned retrieved references for possible inclusion. Results: A total of eight studies were finally included in the meta-analysis of this systematic review. The pooled overall prevalence rate of anemia among hypothyroid patients was 33.77% with 95% CI (21.53 to 52.95). Regarding different types of anemias, the highest prevalence rate was for normocytic anemia [PR (95%) = 46.27 (34.46 to 62.14)] followed by microcytic [PR (95%) = 24.36 (14.68 to 40.44)] and macrocytic anemias [PR (95%) = 16.36 (11.66 to 22.96)], respectively. Regarding different types of hypothyroidism, the prevalence of anemia in overt hypothyroidism was 24.79% (95% CI = 11.01 to 55.81) and 24.47% (95% CI = 13.41 to 44.67) for subclinical hypothyroidism. Conclusions: The high prevalence of anemia in patients with hypothyroidism suggests screening for hypothyroidism during the differential diagnosis of cases presenting with anemia.
Comparsion Of Time Overhead For Similarity Data Checking In Cloud Storage

: Cloud computing is a great technique to perform an enormous range and multipart computing of data. Cloud is an important platform for massive data storage. It is highly important to have the data quality for the effective storage and retrieval of data. Redundancy is a huge problem, which occurs due to the similar data getting stored in various content formats. there are a lot of techniques available shingle, Simhash, traits, TSA , PAS, EPAS to identify and remove duplicate but with the restriction in file control. the proposed technique AEPAS detects the data replication in a specific data compression method to eliminating duplicate copies of repeat data among many files with similarity content.
An Evaluation of the Safety and Potency of Equine Rabies Immunoglobulin Through Measurement of Suppression on Vaccine- Induced Antibody Production Among Healthy Volunteers

Objective: This study evaluated the safety and potency of a new highly purified equine rabies immunoglobulin (ERIG) through indirect measurement of suppression of vaccine-induced antibody production using rapid fluorescent focus inhibition test. Methodology: This is a prospective, randomized open labeled clinical study on healthy volunteers. Fortyfive subjects were randomly assigned to three groups of 15 subjects: All groups received the purified chick embryo cell culture (PCEC) rabies vaccine using the Zagreb regimen (2-1-1). Group A then received ERIG at the same site where the PCEC vaccine was administered; Group B received ERIG at a distant site from where the PCEC vaccine was administered; Group C received only the PCEC vaccine at the same regimen. Arithmetic mean (AM), standard deviation (SD) and range were used to describe the baseline characteristics. Geometric mean titer (GMT) was calculated on Days 0, 7, 14, 21 and 28. Wilcoxon rank-sum test and Kruskall-Wallis Analysis of Variance test were used to compare the means of two and three groups, respectively. Local and systemic adverse reactions were reported by subjects and monitored by investigators. Results: By day 14, 64% of the subjects in Group A, 20% in Group B and 7.0% in Group C failed to seroconvert. During that same period, comparative analysis of GMT of Group A (0.36, 95% CI: -17.92 to 18.64), Group B (1.09, 95% CI: 0.14 to 2.04) and Group C (3.90, 95% CI: -0.63 to 8.43) showed statistically significant differences (p = 0.0016). In terms of safety, neither serious adverse events nor anaphylactic reactions were reported. Conclusion: ERIG is a potent and safe product that can be effectively used for passive immunization in category III rabies exposures. In resource-limited areas, this product is an excellent alternative to human rabies immunoglobulin (HRIG).
Caption Generation for Images Using Deep Multimodal Neural Network

- This paper presents a model that generates captions or descriptions for images with the help of multimodal neural networks. The model consists of two sub-networks a convolution neural network that is utilized to extract the image characteristics and a recurrent neural network for the descriptions. These sub-networks are then aligned through a multimodal embedding to form the whole model. As compared to previous models such as temporal convolution, the recurrent models are considered to be doubly deep. These recurrent neural networks can handle variable input/output. Thus, they can directly map a variable input (e.g. video) with a variable output (e.g. a caption/description, natural language text). The results distinctly show its advantage over state-of-the-art models that are used for generating descriptions or captioning images.
Analysis of Software Quality Attributes Through Aspect-Oriented Programming

– Design and development of software is difficult task due to the changing requirements of usres. To develop good quality software, our main focus is on analysis of quality attributes according to the users’ requirement, but it increases the complexity. So it’s a complex task to establish a relationship between users’ requirements and quality attributes due to the frequent change in requirements. However, we do not have systematic approaches to design software considering quality attributes and requirements. Throughout the history of software development, new development approches were developed to deal with the chaninging requiremens and ever-growing complexity of software. The object-oriented paradigm approach allows programmers to decompose high level requirements into a set of functional modules. The problem is that Object-Oriented Programming (OOP) does not offer a systematic and elegant way to recompose those modules to maintain the the quality by ensuring the modular continuity. This problem of OOP gave birth to a new paradigm: the Aspect-Oriented Programming (AOP). AOP approach is used to modularize the crosscutting concern and provide better analysis of quality attributes like performance, reliability, availability, reusability, testability modularization and maintainability as compare to OOP in the form of aspects. This paper presents modified analysis process in which designer and developer can separate the aspects related to quality attributes by using AOP and get feedbacks to improve the quality attributes by providing a modularization way to separate crosscutting concerns from non-crosscutting ones. This helps in developing software product more efficiently.
Current Trends in Lignocellulosic Analysis with Chromatography

The rising global demand for energy and material from unstable and expensive petroleum resources plus concerns about the economy and global warming call for the development of renewable energy sources to replace fossil fuels [1,2]. Since the first-generation biofuels produced from sugar, starch, and oil-seed-based feedstocks have generated serious competition and a debate for food resources. Therefore, second-generation biofuels expanded the feedstocks to lignocellulosic biomass, including agricultural residues, agro-industrial wastes, forestry and energy crops, which are abundant, renewable, and cost-effective non-food resources [3]. Certain oils produced by plants and algae can be used directly as fuel or chemically transesterified to biodiesel. Hydrogen gas can be produced by not only photosynthetic algae and cyanobacteria under certain nutrientand/or oxygen-depleted conditions but also bacteria and archaea utilizing organic substrates under anaerobic conditions. Other biofuels such as bioethanol and biobutanol can also be produced as organic substrates fermented by microbes under anaerobic conditions [1].
Computational Intelligence in Power systems

— A continuous and reliable supply of electricity is necessary for the functioning of today’s modern and advanced society. Since the early to mid 1980s, most of the effort in power systems analysis has turned away from the methodology of formal mathematical modeling which came from the areas of operations research, control theory and numerical analysis to the less rigorous and less tedious methods of computational intelligence (CI). Power systems keep on increasing on the basis of geographical regions, assets additions, and introduction of new technologies in generation, transmission and distribution of electricity. Computation intelligent (CI) methods can give better solution in several conditions and are being widely applied in the electrical engineering applications. This paper highlights the application of computational intelligence methods in power system problems. Various types of CI methods, which are widely used in power system, are also discussed in the brief.
Heuristic Sentence Boundary Detection and Classification

: This paper explores the new methodology of detecting boundaries of the sentence by heuristic method and also classifies it. Automatic true detection of the sentence aids in semantically annotating the web. Sentences formed with URL, ellipsis and abbreviations are focus of the study. High performance features are selected for Classification using C4.5 decision trees and K-Means for clustering with the help of datasets. Sentences Classified by human annotators, Manning’s Heuristic algorithm, the proposed Modified Manning’s algorithm, and machine learning supervised and unsupervised algorithms are evaluated. Heuristic learning adapted by this system produces an average F1 score of 96.58% for SBD.
Applications of UWB

Recent advances in wideband impulse technology, low power communication along with unlicensed band have enabled ultra wide band (UWB) as a leading technology for future wireless applications. This paper outlines the applications of emerging UWB technology in a private and commercial sector. We further talk about UWB technology for a wireless body area network (WBAN).
A SURVEY ON CONTENT BASED IMAGE RETRIEVAL

: Content based image retrieval is very popular for browsing, searching and retrieving images from a large database of images as it requires less human intervention. Extraction of features and its demonstration from large database is the major issue in CBIR. In order to improve the retrieval accuracy of CBIR system, research focus has been shifted from designing sophisticated low-level feature extraction algorithm to reduce semantic gap between visual feature and richness of human semantics. In this paper different category in reducing semantic gap is discussed. In addition, some image test bed and retrieval performance evaluation is also discussed. This paper provides a comprehensive survey of all the aspects.
Investigation Of Performance Analysis Of Pv Fed Multilevel Inverter For Water Pumping Applications

In this paper, the proposed work is to extract maximum power from the PV powered water pumping system driven induction motor. The PV powered water pumping is commonly used for agriculture and households applications. To seek out the peak power from the PV array, the inverter is operated at variable frequency, to vary the output of the water pump. The proposed system utilizes the multilevel inverter to generate a sinusoidal waveform instead of quasi square wave inverter. The anticipated system has the benefits of less Total Harmonic Distortion in the output voltage, low switching losses, less in filter requirements, low heating of motor under rating condition, less in ripple torque production and so on. The fuzzy logic based peak power point tracking technique is employed. The extraction of peak power is achieved by varying the frequency of multilevel inverter in order to operate the induction motor at maximum torque condition. The additional features of the PV fed system is that, the motor current is limited to an upper limit of PV array current, so that motor winding and power semi conducting switches can be protected against excessive current flow. The system is tested using MATLAB/ simulink for change in insulation and change in temperature for the validation of the proposed work.
Acute coronary syndromes

a codified definition of STEMI, challenges in diagnosis remain due to variability in electrocardiogram (ECG) presentation, conditions with similar presentations, variability in the electrical manifestation of ST-segment elevation on ECG, and systems issues with access to rapid diagnosis that can make this diagnosis challenging. This article aims to review these challenges.
Post-stroke visual impairment: a systematic literature review of types and recovery of visual conditions

Aim: The aim of this literature review was to determine the reported incidence and prevalence of visual impairment due to stroke for all visual conditions including central vision loss, visual field loss, eye movement problems and visual perception problems. A further aim was to document the reported rate and extent of recovery of visual conditions post stroke. Methods: A systematic review of the literature was conducted including all languages and translations obtained. The review covered adult participants (aged 18 years or over) diagnosed with a visual impairment as a direct cause of a stroke. Studies which included mixed populations were included if over 50% of the participants had a diagnosis of stroke. We searched scholarly online resources and hand searched journals and registers of published, unpublished and ongoing trials. Search terms included a variety of MESH terms and alternatives in relation to stroke and visual conditions. The quality of the evidence was assessed using key reporting guidelines, e.g. STROBE, CONSORT. Results: Sixty-one studies (n=25,672) were included in the review. Overall prevalence of visual impairment early after stroke was estimated at 65%, ranging from 19% to 92%. Visual field loss reports ranged from 5.5% to 57%, ocular motility problems from 22% to 54%, visual inattention from 14% to 82% and reduced central vision reported in up to 70%. Recovery of visual field loss varied between 0% and 72%, with ocular motility between 7% and 92% and visual inattention between 29% and 78%. Conclusion: The current literature provides a range of estimates for prevalence of visual impairment after stroke. Visual impairment post stroke is a common problem and has significant relevance to the assessment and care these patients receive. Prospective figures regarding incidence remain unknown.