Miracle-dz/UniFAR-FTUs huggingface dataset:
Identifying Human Face under video surveillance using Machine Learning Technique

: Automatic Physiognomy recognition systems are now popularly used in various applications ranging from mobile payment verification to inbuild security access. The use of Physiognomy recognition has increased awareness about facial simulation attacks viz is also called as a biometric sensor presentation attack) that can use a picture or motion file of the Physiognomy of an known person with access to facilities or services. While the amount of Physiognomy identification methodologies that have been proposed do have the ability to place general implications however they are not adequately addressed that is why we offer a powerful and robust Physiognomy detection algorithm using image distortion analysis (IDA). Four different properties (Spectrum deflection, interval, color, and variety with colors) these can be separated to create an IDA class feature set vector, which consists of several SVM classifiers that have been trained for disguised Physiognomy forgery. (Eg printed photos and replayed videos) that are utilized to distinguish between true Physiognomy and pseudo-physiognomy. The method that is addressed here covers detecting multiple Physiognomy in a video using voting patterns.
Enhanced solar spectrum confinement in photo-voltaic cells investigated

The advent of optical waveguides with a unique geometry, where the central part is of low refractive index as compared to the material on the sides, here-after named as a slot(s) guarded by slabs with unique properties of light confinement opened new opportunities for lab-on-chip circuits. Apart from passive dispersion compensator circuits (proposed by us for the first time), active optical circuits have also been designed (by other researchers). In this research we are in a quest to harvest the benefits of Silicon-on-Insulator (SOI) slot optical waveguides in the area of photo-voltaic solar power generation; earlier we have proposed simple and easy to implement periodic/ basic multiple air cladded slot structures. In this research work, we have implemented buried SOI slot optical waveguides; the solar spectrum incarceration with our earlier research work is also being compared. With the advancement in nano-technologies, it is never a problem to implement nanometers wide optical waveguides on the window glass. Where conventional photovoltaic solar cells will be embedded either on all corners of a micro-meter wide region or maybe only on one side. The research will open new avenues for researchers in the field of photovoltaic power generation.
Neutrosophic Bipolar Fuzzy Set and its Application in Medicines Preparations

: To tackle the real life problems we come across, in various fields like computer sciences, medical sciences, social sciences and engineering works where we are facing many ambiguities and imprecisions. Here we bring an idea of neutrosophic bipolar fuzzy decision making where hybridized multi-attributes are involved, which is a very helpful tool to tackle the ambiguities and imprecisions. We present the neutrosophic bipolar fuzzy transformation techniques. The different types of attributes are transformed into unified neutrosophic bipolar fuzzy values. It includes the group decision making mode based on hybrid decision making problems with exact values, interval values and linguistic variables. Calculations of weights by decision makers, composition of aggregated weighted neutrosophic bipolar fuzzy decision matrices, determination of entropy weights, finding positive ideal solution(PIS),and negative ideal solution(NIS), calculation of grey relational coefficient ,calculation of degree of weighted grey relational coefficient of each alternative, determination of relative relational degree of each alternative from the positive ideal solution (PIS) and negative ideal solution (NIS) and ranking of the alternatives are the concepts which are introduced in the case of neutrosophic bipolar fuzzy hybrid multi-attribute group decision making. Eventually, we apply these concepts and techniques upon hybrid multi-attributes decision making problem of selecting the best medicine to cure some particular diseases and develop an algorithm for neutrosophic bipolar fuzzy hybrid multi-attribute group decision making.
Trends in Bacteria Causing Diarrheal Infection from 2010 to 2018 in Cheonan, Korea: Aeromonas spp., Campylobacter spp., and Clostridioides spp.

Gastroenteritis with diarrhea is a common gastrointestinal disorder that affects more than 3−5 billion individuals worldwide each year [1] and is caused by various pathogens, including bacteria, viruses, and protozoa [2]. Patients with gastroenteritis with diarrhea may develop dehydration symptoms due to diarrhea, leading to death if proper treatment is not obtained. Research on diarrhea-causing bacteria (DB) has been carried out in various fields for many years. However, few studies have evaluated the distribution and epidemiological trends in anaerobic DB for which culture is difficult. Recent molecular biology experiments have facilitated the detection of anaerobic DB that are difficult to culture, enabling the analysis of trends in anaerobic DB over a relatively long period of time. Clostridioides perfringens is a gram-positive anaerobic bacterium that produces spores and is found in the gastrointestinal tracts of humans and animals [3]. Spores of Clostridioides perfringens are not killed after heating for 4 h at 100°C and can, therefore, persist when food is kept Diarrhea is one of the most common infectious diseases known worldwide. However, few studies have examined anaerobic diarrhea-causing bacteria (DB), which are difficult to culture. Recent advances in molecular biology have facilitated the detection and analysis of anaerobic DB. In this study, long-term trends in anaerobic DB were evaluated in Korea. From 2010 to 2018, symptoms of diarrhea reported were analyzed among patients hospitalized at the Dankook University Hospital in Korea. Results of multiplex polymerase chain reaction based on seasonality, age, overlapping infection, and other factors in patients were evaluated. DB were detected in 38.2% of 1716 stool specimens in the duration of the study. Of the pathogens detected using this method, 49.8% (n = 405/813) were anaerobic bacteria, including Clostridioides perfringens, Campylobacter spp. , Clostridioides difficile toxin B, and Aeromonas spp. Among the four anaerobic bacteria, Clostridioides perfringens was the most commonly occurring (15.5%; n = 126/813). Detection rates of Clostridioides perfringens, Clostridioides difficile toxin B, and Aeromonas spp. were 34.1% (n = 22/ 55), 34.9% (n = 43/126), and 40.0% (n = 38/109), respectively. The detection rate of Campylobacter spp. (32.7%; n = 37/115) was the highest in patients between 10 and 20 years of age. The detection rate of anaerobic DB showed an increase in 2018 as compared with that in 2010, and the number of events of diarrhea caused by anaerobic DB also increased in this duration. Further studies are required to devise methods that might prevent the proliferation of anaerobic DB.
A Survey on Different Methods for Superpixel Segmentation

: Image segmentation is an important part of image analysis process, since it differentiates between the salient objects and the other objects or from their background. It is the process of dividing digital image into multiple segments and the main aim of segmentation is to pinpoint objects and boundaries. There are different methods for segmenting image, here we are considering the concept of superpixels inorder to segment image. Superpixel can mainly accelerate the successive processing since the superpixels of an image carry more information than a normal pixel. This paper deals with detailed survey on different superpixel segmentation techniques.
Sythesis Silver Nano Particles From Azadirachta Indica Leaves

Green synthesis of nanoparticles is a novel way to synthesis nanoparticles by using biological sources. It is gaining attention due to its cost effective, eco-friendly and large scale production possibilities. In this present study Azadirachta indica was taken to investigate their potential for synthesizing silver nanoparticles. The silver nanoparticles synthesized were confirmed by change of colour to dark brown due to the phenomenon of surface plasmon resonance. The characterization studied was done by Scanning electron microscopy (SEM), Fourier Transmission infrared spectroscopy (FTIR). All the plants synthesized silver nanoparticles show good antimicrobial activity against clinically important pathogens Staphylococcus aureus, Klebsiella pneumoniae, Vibrio cholera and Escherichia coli.
Instruction Memory Overhead of In Situ Visualization and Analysis Libraries on HPC Machines

Running visualization on data in situ of the simulation that generates them is an ever increasing requirement of largescale scientific computing[8]. To address the diverse needs of the scientific community, multiple projects are working on adapting general-purpose large-scale standalone visualization applications and libraries into in situ libraries that can be integrated into existing simulations[1, 11, 6, 13, 14]. Such an integration requires the simulation and visualization components to share system resources, in particular memory. Some work has been done to evaluate in transit operations[10, 3, 4, 9, 7] where the visualization libraries run at the same time as the simulation, but in a different memory space. In this study we consider only in situ operation. As such, the memory footprint of the visualization library is a critical metric for its viability and adoption. The memory overhead can be reduced by sharing data where possible, but some memory cannot possibly be shared. In particular, the program instructions loaded from the visualization libraries clearly must be independent of anything else used in the simulation. The overhead of these program instructions is seldom of concern when running the visualization independently, but can be of pivotal concern when integrated into a large-scale scientific simulation. Realistic analysis of the memory overhead for libraries is difficult. For example, simply shared linking the full ParaView Catalyst libraries reports an increase of 500MB in virtual memory space per process even though the files on disk only use 150MB of space. In addition, the memory mapping on a desktop Linux machine will likely be different than on compute node Linux[12] or some other light weight HPC operating system. How does performance as it is understood on a desktop system transfer to understanding performance on the HPC system? In this study we use the Catalyst library to analyze memory overhead. A recent feature added to Catalyst is Editions, which allow subselection from the full set of ParaView Catalyst filters down to only those needed for certain tasks. We use this to compare visualization library configurations of different sizes with different features. We report both experiment methodologies and design decisions that are generally applicable to visualization and other libraries on HPC systems.
Nursing Interns' Perceived Feedback and its Influence on Gaining 21st Century Skills

Objective: Feedback has been seen as the impetus for development in learning; and today, giving valued feedback is generally seen as a key benchmark of efficient teaching and as a fundamental prerequisite for meeting 21 st century nursing interns' expectations. Thus, exploring nursing interns' perceived feedback and its influence on gaining 21 st century skills was the meant of this study. Methods: A descriptive, correlational by means of cross-sectional research design was exploited. This study was implemented at Tanta University Hospitals' all intensive care units. The subject consisted of all (n =294) accessible nursing interns at Faculty of Nursing who were trained in the aforementioned hospitals. Nursing Interns' Perceived Feedback (68 items) and Nursing Interns' Ability to Gain 21 st Century Skills (57 items) Questionnaires besides personal characteristics data were employed to assemble the study data. Results: Nearly three-quarters of nursing interns were overall highly satisfied with obtained feedback, specifically, its timing, quality, feedback's value and its impact on strengthening their 21 st century skills. While nearly two-thirds of them had moderately satisfied level concerning the quantity of feedback. Worth mentioning, over half of nursing interns started the correct activity on the same day after getting feedback. Also, the majority of nursing interns had adequate ability to gain overall 21 st century skills. Conclusion: A strong effect was found between given feedback, as rated by nursing interns and their ability to gain 21 st century skills. So, clinical instructors need to provide feedback in a manner that incorporates 21 st century skills such as offering timely, focused, frequent, and clear feedback that highlights nursing interns' actual performance, respect their feelings, privacy, and views.
Improving mental health and lifestyle outcomes in a hospital emergency department based youth violence intervention

Purpose Current government policy aims to tackle youth anti-social behaviour and its psychological and social impacts. Given an increased likelihood that young victims of crime are also likely to engage in aggressive or deviant behaviour and to have psychological and social difficulties, interventions are needed which access vulnerable youth with adverse lifestyles to increase well-being and reduce offending. The current project utilised a hospital emergency department (ED) as an appropriate location to identify and interact with youth victims of violent crime; to support key lifestyle risk and mental health difficulties; and build resilience. The purpose of this paper is to use a youth work paradigm, to target vulnerable youth in a health setting at a crisis point where intervention may have a higher chance of uptake. Design/methodology/approach The study applied a quasi-experimental, longitudinal design. Using the strengths and difficulties questionnaire and the “What Do You Think” component of the ASSET risk assessment, data were collected from 120 youth aged 12-20, at baseline with 66 youth who successfully completed the programme with assessments at baseline and follow-up, at an average of 14 weeks. Findings There was significant reduction in both psychological problems and lifestyle risk at follow-up. Research limitations/implications These findings support the government initiative to intervene in youth violence in healthcare settings. Challenges revolve around increasing participation and greater formalisation of the intervention. Originality/value The youth work led violence intervention in the ED is successfully tackling psychological problems and lifestyle risk following injury.
Reference Trajectory Modification Based on Spatial Iterative Learning for Contour Control of Two-Axis NC Systems

Contour error is a main factor that affects the quality of products in numerical control (NC) machining. This article presents a contour control strategy based on digital curves for high-precision control of computer numerical control (CNC) machines. A contour error estimation algorithm is presented for digital curves based on a geometrical method. The dynamic model of the motion control system is transformed from time domain to space domain because the contour error is dependent on space instead of time. Spatial iterative learning control (sILC) is developed to reduce the contour error, by modifying the reference trajectory in the form of G code. This allows system improvement without interference of low-level controllers so it is applicable to many commercial controllers where interpolators and feed-drive controllers cannot be altered. The effectiveness of this method is verified by experiments on a NC machine, which have shown good performance not only for smooth trajectories but also for large curvature trajectories.
Adversarial Correction Networks for Image Segmentation

A lot of great segmentation methods have been proposed since the medical image analysis community comes to the deep learning era [2]. UNet (VNet) is of the most successful models for segmenting medical images since it can better capture the details [4, 5]. In this work, we propose to use adversarial learning mechanism to correct the wrongly segmented regions based on a basic UNet-like (VNet-like) structure. Also, we further improve the skip connection by well designing the connections [1, 5]. The carefully designed dilation module is also adopted to enlarge the receptive field without costing much more memory. Also, some smooth strategy is used to improve the segmentation results.
Dictionary Based Approach to Sentiment Analysis - A Review

— Due to the fast growth of World Wide Web the online communication has increased. In recent times the communication focus has shifted to social networking. In order to enhance the text methods of communication such as tweets, blogs and chats, it is necessary to examine the emotion of user by studying the input text. Online reviews are posted by customers for the products and services on offer at a website portal. This has provided impetus to substantial growth of online purchasing making opinion analysis a vital factor for business development. To analyze such text and reviews sentiment analysis is used. Sentiment analysis is a sub domain of Natural Language Processing which acquires writer’s feelings about several products which are placed on the internet through various comments or posts. It is used to find the opinion or response of the user. Opinion may be positive, negative or neutral. In this paper a review on sentiment analysis is done and the challenges and issues involved in the process are discussed. The approaches to sentiment analysis using dictionaries such as SenticNet, SentiFul, SentiWordNet, and WordNet are studied. Dictionary-based approaches are efficient over a domain of study. Although a generalized dictionary like WordNet may be used, the accuracy of the classifier get affected due to issues like negation, synonyms, sarcasm, etc.
Evaluation of Fatty Acid Synthase as a Molecular Target for Stress-Dependent Fungicidal Activity of 1-Geranylgeranylpyridinium

Among various isoprenoid compounds, 1-geranylgeranylpyridinium (GGPy) showed remarkable lethal effects on Saccharomyces cerevisiae cells similarly under hypoand hyperosmotic conditions at 30oC. In addition to such osmotic stress, GGPy exhibited temperature-dependent lethal effects against S. cerevisiae and the pathogenic yeast Candida albicans at the human body temperature of 37oC. Fatty acid synthase (FAS) was identified as one of the GGPy-binding proteins and was considered a molecular target of GGPy in its inhibitory effect on the fungal stress adaptation. GGPy was not inhibitory to the activity of FAS assayed upon NADPH oxidation involved in acyl chain elongation by this multi-functional enzyme complex. Nevertheless, the lethality of GGPy was repressed in the medium where polyoxyethylene sorbitan monopalmitate (Tween 40) supplemented as the water-soluble and esterasedependent source of palmitic acid. These findings may suggest that GGPy is permissive for acetyl unit incorporation into the growing chain of fatty acyl-CoA by FAS butis restrictive to its ultimate elongation to palmitoyl-CoA as a donor of the long-chain saturated fatty acid for the synthesis of stress-tolerant glycerophospholipids.
Mechanical Properties Investigation on Thermoplastic Starch (TPS)/ Montmorillonite Nano-clay (MMT)/ Alumina Trihydrate (ATH) Nanocomposites Film

Starch has been selected to produce biodegradable polymer as it is an abundant, low cost, naturally renewable and biodegradable nature polymer. However, due to hydrophilic nature of pure TPS films, it has poor mechanical properties. Hence, fillers such as MMT, and ATH are introduced to improve the mechanical, thermal and flame retardant properties respectively. On the other hand, Citric acid (CA) is added to enhance the cross-linking effect between starch and fillers. Water is used as the main plasticiser and glycerol is used to further enhance the plasticising effect of the nanocomposites film. In this research, the main purpose is to determine the mechanical properties of the TPS/ MMT/ ATH blend. Preliminary test is carried out to determine the optimum ratio of glycerol and samples are prepared by solution casting method. The effects of each fillers are determined based on the experimental result from tensile tester machine STM-SERVO. The mechanical properties of TPS/ MMT/ATH nanocomposites film are determined by tensile strength, elongation at break and young’s modulus. As a result, the nanocomposites film exhibited an improvement in tensile strength due to reinforcement of MMT and ATH. The elongation at break have reduced with introducing fillers in the nanocomposites films as intercalation of fillers into starch promotes the formation of restricted environment against the movement of polymer chains. On the contrary, the Young’s modulus of the nanocomposites film shown measurable enhancement due to the polymer chains restricted.
Study of Acute Pancreatitis in a Tertiary Care Hospital – Assessment of Risk Factors and Outcome

Objectives: To study the clinical presentation, etiological, factors, biochemical parameters and outcome in patients of acute pancreatitis in a tertiary care hospital at Guntur. Materials and methods: 140 cases of acute pancreatitis over a period of 15 months were studied in detail including presenting complaint, clinical examination and investigations. All patients were observed for complications and supportive treatment was given and outcome was observed. Results: The affected age group was 17 – 58 years with a male to female ratio of 9:1. Pain abdomenwas the presenting complaint in all cases (100%) followed by vomiting in 86 cases(61.42%). and fever in 29 cases (20.71%). Radiologically,bulky pancreas was observed in 100 cases (71.4%), followed by necrotizing pancreas, in 31 cases (22.14%), acute on chronic pancreatitis in 4 cases (2.85%), atrophic pancreatitis in3 cases (2.14%) and Interstitial pancreatitis in 2 cases (1.42%). Biochemically, elevated amylase and lipase levels were observed in 114 cases, (81.42%), elevated LFT in 63 case(45%) and abnormal RFT in 22 cases (15.71%). Associated risk factors were, alcoholism in 115 cases (82.14%), smoking in 67 cases (47.85%), gall stones in 5 cases (3.57%), sepsis in 5 cases (3.57%), drug association in 2 cases (1.42 %), one case (0.71 %) has vasculitis , dyslipidemia in 1 case (0.71 %), structural abnormalities in 3 cases (2.31%),and 6 cases (4.28%) were idiopathic. Observed complications were acute local fluid collection in 100cases (71.4%), hepatitis in 63 cases (45%), pleural effusion in 46 cases (32.85%) sterile pancreatic necrosis in 31 cases (22.14%), ascitis in 28 cases (20%,),renal failure in 22 cases (15.71%), 10 cases (7.14%) developed pseudocyst, shock in 10 cases (7.14%), splenic vein thrombosis in 6 cases. (4.28%)and hypoxemia in 6 cases (4.28%), Recurrence is seen in 43 cases (30.71%), 123 cases (87.8%) recovered, 17 cases (12.14%) died. Conclusion: acute pancreatitis is more common in 30 – 40 years age group with male: female ratio of 9:1. Pain abdomen is the most common presentation. Alcoholism is the most common risk factor. Smoking was commonly observed in cases presenting with recurrence. Only17 cases expired, 43 cases have recurrence and 123 cases recovered.