Miracle-dz/UniFAR-FTUs huggingface dataset:
Vector Trust Aggregation Management Model for Secure Routing in Mobile Adhoc Networks

MANET is a set of limited range wireless nodes that function in a cooperative manner so as to increase the overall range of the network. The performance of ad hoc networks depends on the cooperative and trust nature of the distributed nodes. To enhance security in ad hoc networks, it is important to evaluate the trustworthiness of other nodes without centralized authorities. In this paper, a novel dynamic vector trust aggregation management model with multiple decision factors and vector trust aggregation is proposed. The multiple decision factors include weighted packet forwarding factor, similarity factor and time aging factor. These trust factors are incorporated to reflect trust relationship's complexity and uncertainty. Based on the trust factors, the selection of the trusted nodes with most trustable path is obtained by using Trust vector Aggregation. The trusted path obtained by using the proposed model eradicates malicious nodes and helps to protect the network from any internal attacks.
Study of comparison of human bio-signals for emotion detection using HCI

: The bio-signals for emotion detection is becoming an interesting domain for human computer interaction. This paper focused on recognizing the effect of semi-classical and rock music on human body. In this proposed system there are two bio-signals such as RR (Respiration rate) and NIBP (Non - Invasive Blood Pressure)are analyzed by using HCI. In order to perform this assessment, we have gathered a dataset of bio-signals before and after hearing of semi classical and rock music and then effect shown by using graphs.
An improved Bayesian filtering technique for spam recognition

: In this paper, we presented models and software for spam recognition using an improved Bayesian filtering technique. Based on a corpus from Androutsopoulos et al, our Spam Recognition framework outperforms other state-of-the-art learning methods based on Bayesian algorithm in terms of spam detection capability. Our software has proved an accuracy of 99.9% of good classification. The 0.1% of other messages have been classify as “may be spam” due to their vagueness signature. Brief, in the case of extremely high misclassification cost, our model still remains stable accuracy with low computation cost, while other methods’ performance deteriorates significantly as the cost factor increases.
Small Area Edge Preservation for Multiscale Decomposition for High Dynamic Range Image Tone Mapping

— One of the ultimate aims of image processing is to represent real-world scenes on conventional display devices. For this purpose, image-processing technology has been developing from Standard Definition (SD) to High Definition (HD) in terms of resolution, as well as being developed from the Low Dynamic Range (LDR) of 8-bit data to the High Dynamic Range. Many recent computational photography techniques decompose an image into a piecewise smooth base layer, containing large scale variations in intensity, and a residual detail layer capturing the smaller scale details in the image. In many of these applications, it is important to control the spatial scale of the extracted details, and it is often desirable to manipulate details at multiple scales, while avoiding visual artifacts. In this work a new way to construct edge-preserving multi-scale image decompositions is introduced A novel filter is proposed for edge-preserving decomposition of an image. It is different from previous filters in its locally adaptive property. A multiscale decomposition with this filter is proposed for manipulating a high dynamic range image, which has three detail layers and one base layer. A process is proposed with the novel filter to reproduce HDR images. There is an important property in the decomposition, which is the residual base layer matches the large-scale shape of the original image signal. The tone mapped images using these edge-preserving filters give state-of-the-art quality, and they are visually appealing. Through this reproduction process, we can hardly discern the difference between the artificial image and the real scene. Special considerations are also noted here to avoid artifacts (e.g., halo, the brighter or darker bands around edges).
MULTI-TIMES MUTUAL AUTHENTICATION SCHEME FOR MOBILE USERRS

Mobile Cloud Computing is the merge of obscure compute, mobile computing and wireless network to suggest rich computational property to mobile customers, arrange administrators, and in adding cloud computing suppliers. A perfect purpose of M-CC is to authorize implementation of rich mobile applications on an abundance of mobile gadgets, with a rich customer encounter. Mobile Computing is a novelty that permit broadcast of in order, tone and record through earnings of a P-C or a number of additional wireless empower thing amajig with no organism connected by a complete physical link. In this document, we mean to suggest one more controlling strange ordinary authentication contrive for mobile cloud situation. In this project, together the mobile customers and cloud advantage require expressing their legality and at the selected time it assists the approved mobile cloud customer by means of enjoying period all the ubiquitous organizations in a secluded and valuable method, where the opinion of ‘n’ may distinction in sight of the main the user has paid for. The safety of the anticipated plot is carefully analyzed using both official and in count in formal safety research.
Formulation, In-vitro and In-vivo Evaluation of Nystatin Topical Gel

The aim of this study was to enhance solubility and dissolution of antifungal drug, nystatin, with two different techniques, nanoemulsion and solid dispersion systems and then incorporate them into gel base. Several nanoemulsion formulations were prepared and evaluated as mentioned in the previous study. One nanoemulsion formulation was optimized and incorporated into gel base (F1 NE). Several solid dispersion formulations at 1:1 and 1:2 drug: carrier ratios were prepared. These solid dispersion formulations were evaluated for solubility, drug content and in-vitro drug release. The solid dispersions were then incorporated into gel base and tested for pH, drug content, viscosity, in-vitro drug release, IR studies and DSC studies. A comparison between the nanoemulsion based gel formulation (F1 NE), solid dispersion based gel and a commercially available product, Nystatin ® cream, was carried out to judge their efficacy. (F1 NE) showed the highest drug release percent (49.13%) followed by F1 solid dispersion (F1 SD) (36.37%) in contrast, the marketed formulation released (22.88%) of the drug in 24 hrs. The invitro nystatin release data were fitted to Korsmeyer peppa's release model. The optimized F1 NE was chosen for further clinical trial. Background: Cutaneous candidiasis treatment usually requires topical application of an antifungal agent for 2 to 4 weeks. Methods: Patients (n = 40) were randomly selected to apply nystatin, F1 NE or Nystatin cream twice daily for 30 days and were periodically assessed until day 42. Results: F1 NE recipients had significantly higher rates of mycological cure beginning at day 14 (50% vs 35%) with continued improvements through day 30 (95% vs 50%). Conclusions and Relevance: With the outcome mycological cure at the end of treatment, there was significant difference between F1 NE and Nystatin ® cream. The F1 NE was found to be more efficient in cutaneous candidiasis management. [Ghada H. Elosaily, Hoda A. Salem, Azza M. Hassan, Sara Maxwell and Zeinab A Ibrahim. Formulation, In-vitro and In-vivo Evaluation of Nystatin Topical Gel. J Am Sci 2014;10(6):75-85]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 9
LITERATURE REVIEW ON FRACTURE TOUGHNESS AND IMPACT TOUGHNESS

The present paper gives a technical review of fracture toughness, and impact toughness for metallic materials in terms of the linear elastic fracture mechanics. This includes the early investigations and recent advances of fracture toughness test methods and practices developed by various agencies and societies. The review describes the most important fracture mechanics parameters: such as the elastic energy release rate G, the stress intensity factor K, the J-integral, the crack-tip opening displacement (CTOD) and the crack-tip opening angle (CTOA) from the basic concept, definition, to, test methods. Attention is paid to guidelines on how to choose an appropriate fracture parameter to characterize fracture toughness for the material of interest, and how to measure the fracture toughness value defined either at a critical point or in a resistance curve format using laboratory specimens. The effects of loading rate, temperature and crack-tip constraint on fracture toughness as well as fracture instability analysis are also reviewed.
Ocular Hypertension and Glaucoma: A Review and Current Perspectives

Hypertension of the eye fundamentally results from an imbalance between the production and extrusion of aqueous humor (AQH) within the anterior segment of the eye. Vitreous humor (VH) (in the posterior segment of the eye) and AQH are responsible for maintaining the shape of the eye-ball in order that light is correctly focused on the retina for good vision. However, as we age, cells of the AQH drainage system (trabecular meshwork, TM) die and cellular debris accumulates within the TM and the canal of Schlemm thereby slowing, and in some cases, preventing AQH efflux. This results in increased resistance and elevation of hydrostatic pressure within the anterior segment, also termed as elevated intraocular pressure (IOP) or ocular hypertension (OHT). Sustained OHT exerts mechanical pressure on the retinal ganglion cells (RGCs) and the optic nerve fibers at the back of the eye leading to their progressive demise by apoptosis, thereby distorting and diminishing visual acuity over time, and eventually leading to irreversible blindness. In some patients even “normal” IOP is destructive because their RGCs and their axons projecting to the brain are genetically or chemically predisposed to early cell death. These pathologies are termed “glaucomatous optic neuropathy (GON)” and OHT is often associated with glaucoma, especially primary open-angle glaucoma (POAG). Today, there are several pharmacological and minimally invasive surgical interventions / devices that constitute therapeutic modalities to treat OHT and glaucoma. OHT etiology and treatments will be discussed in more detail in this review article.
STOCK MARKET PREDICTION AND ANALYSIS USING MACHINE LEARNING

Stock market prediction has always been an interesting research topic among researchers mainly due to its capital gain by trading stocks and or to understand the information hidden in stock market data. Many machine learning algorithms and statistical models have been proposed by researchers for stock price prediction and stock price movement prediction. We have studied various machine learning methods and techniques for stock market prediction. Here we present recent growth in stock market prediction methods and models, perform a comparison among these models to find out the accuracy of the prediction of the stock market values and also figuring out the advantages and disadvantages of these individual models. We are using LSTM and GRU models to predict future stock prices.
Utilización de Células Troncales en Reconstrucción Cráneo-Maxilo-Facial en Humanos

RESUMEN: El propósito de este estudio fue evaluar la evidencia en relación al empleo de técnicas reconstructivas en el área cráneo-facial asociado el uso de células troncales en humanos. Se realizó una revisión sistemática de la literatura en las base s Medline, ScienceDirect, EMBASE, TripDatabase, LILACS entre marzo del 2004 a marzo del 2016 con criterios de elegibilidad y estrategia de búsqueda definida. La selección de artículos fue realizada por dos investigadores de forma independiente y cuando ellos present aron discordancia, un tercer investigador realizó le selección. Se encontraron un total de 382 artículos, se realizó una selección d e artí ulos, eliminado duplicados, estudios experimentales en animales y selección según análisis de resúmenes, se seleccionaros 14 artículo s con procedimientos reconstructivos en el área cráneo-facial asociado a células troncales. Existe limitada evidencia de calidad en r el ción a la utilización de células troncales en reconstrucción cráneo facial en humanos. A excepción de un estudio (ensayo clínico de bajo nivel de evidencia), todos corresponden a series o reporte de casos, con lo cual no es posible recomendar su utilización en procedimient os reconstructivos. Es necesario realizar estudios de evidencia sustentable con el empleo de células troncales que permitan identi ficar su real rendimiento al compararlo con otras técnicas quirúrgicas.
Why Should We Gender? The Effect of Robot Gendering and Occupational Stereotypes on Human Trust and Perceived Competency

The attribution of human-like characteristics onto humanoid robots has become a common practice in Human-Robot Interaction by designers and users alike. Robot gendering, the attribution of gender onto a robotic platform via voice, name, physique, or other features is a prevalent technique used to increase aspects of user acceptance of robots. One important factor relating to acceptance is user trust. As robots continue to integrate themselves into common societal roles, it will be critical to evaluate user trust in the robot’s ability to perform its job. This paper examines the relationship among occupational gender-roles, user trust and gendered design features of humanoid robots. Results from the study indicate that there was no significant difference in the perception of trust in the robot’s competency when considering the gender of the robot. This expands the findings found in prior efforts that suggest performance-based factors have larger influences on user trust than the robot’s gender characteristics. In fact, our study suggests that perceived occupational competency is a better predictor for human trust than robot gender or participant gender. As such, gendering in robot design should be considered critically in the context of the application by designers. Such precautions would reduce the potential for robotic technologies to perpetuate societal gender stereotypes. CCS CONCEPTS Human-centered computing → Empirical studies in HCI. ACM Reference Format: De’Aira Bryant, Jason Borenstein and Ayanna Howard. 2020. Why Should We Gender? The Effect of Robot Gendering and Occupational Stereotypes on Human Trust and Perceived Competency. In Proceedings of 2020 ACM Conference on Human-Robot Interaction (HRI’20), March 23-26, 2020, Cambridge, UK. ACM, New York, NY, USA, 9 pages. https://doi.org/10.1145/3319502.3374778
An investigation into the influence of local barometric stress upon xenobiotic percutaneous penetration

Local barometric pressure changes at the apical surface of the skin have been reported to alter the mechanical and physiological properties of the cutaneous tissue. However, how skin changes induced by barometric pressure alter percutaneous penetration require further investigation. The aim of this study was to understand the effects of local barometric pressure changes upon cutaneous drug delivery with a view to understand if such an approach could be used to design a novel medicinal product. To accomplish this, one of the most widely used test systems for studying in vitro skin permeability, the Franz diffusion cell, was adapted to operate under sub-atmospheric pressure. Three relevant agents (tetracaine, diclofenac diethylamine and aciclovir) were selected, based upon their different physicochemical properties, and a suitable analytical method was developed for each molecule. The model agents were shown to aggregate in solution and the process of aggregation appeared to retard penetration into the skin. In vitro hypobaric driven delivery was shown to be an effective means to achieve ‘targeting’ of diclofenac diethylamine and aciclovir within the epidermal tissue after topical application of the aggregated agents. The calculated epidermal ‘targeting’ potential was 4 and 1.4 for each model agent, respectively. The mechanical and morphological changes in the hypobaric stressed skin showed that the ‘targeted’ drug deposition to the epidermal layer was accompanied by an enlargement of the follicular infundibula (p < 0.001), reduced corneocyte size (p < 0.001) and skin thinning (p < 0.05). These findings suggested that both enhanced follicular and passive stratum corneum transport played a role in the manner which hypobaric pressure improved cutaneous penetration. Local hypobaric stress application to the skin was also shown to induce a haemodynamic response (i.e. a significant increase in blood flow (p < 0.001)), which together with the ability to alter skin drug diffusion significantly enhanced cutaneous and systemic bioavailability (p < 0.01) of a model macromolecule. These results demonstrated that the application of topical barometric stress represented a promising technology to deliver molecules into the skin and it was thought worthy of further evaluation.
Mechanized Overseer of Arrhythmias Using Feature Selection and Support Vector Machine

: The existing arrhythmias detection algorithms are based on analysis of any one of the ECG parameters like temporal, spectral or complexity. The detection algorithm becomes efficient by combining these three ECG parameters in order to detect the life threatening arrhythmias easily in the initial stage. Support vector are supervised learning models with associated learning algorithms that analyze data and recognize features, which will be used for classification and regression analysis. The classifier algorithm used here is SVM-BR which is an efficient non-parametric estimation algorithm even when its test samples are very limited in size. Hence the methodology proposed in this paper combine the ECG parameters along with a support vector machine (SVM) classifier results in an efficient power saving Automatic External Defibrillator (AED) without increasing hardware complexity. An advanced sampler known as Integrate and Fire (IF) pulse sampler is used before the feature selection process by which the power consumption and the storage part of the Automatic External Defibrillator (AED) can be minimized. As the power consumption and the memory organizations gets minimized, the size of the storage element and the battery will be reduced, which in turn minimize the size of the entire device. A filter type feature selection (FS) is used to analyze the ECG signal for the detection of all the three required ECG parameters. The proposed method was tested with ECG records from the popular database American Heart Association (AHA) and sensitivity and specificity for this analysis is far better than the existing methods and Massachusetts Institute of Technology (MIT).
“ANTI INFLAMMATORY AND ANTI NOCICEPTIVE EFFECTS OF THE DIFFERENT FRACTIONS OF ETHANOLIC EXTRACTS OF PREMNA INTEGRIFOLIA LINN”

Ethanopharmacological Relevance: Premna integrifolia Linn. (Verbenaceae) is traditionally used to treat inflammation. The roots of Premna integrifolia are having potential in the development of drug for inflammation due to their antiinflammatory activity. Aim of study: To evaluate the anti inflammatory and analgesic activities of different extracts of roots of Premna integrifolia Linn. (Verbenaceae). Materials and Method: Both activities were performed using petroleum ether, chloroform, ethyl acetate and ethanolic extracts (200mg/kg/bw and 400mg/kg/bw) of plant. Analgesic activity was performed using acetic acid induced writing in mice, eddy’s hot plate method and tail immersion method. Anti inflammatory activity was performed using carragenan induced paw edema in rats. Results: The result of analgesic activity reveal that ethanolic and ethyl acetate extract show significant analgesic effect and maximum anti inflammatory effect was produced by ethanolic extract. The maximum inhibitory effect (60.00%) was shown by EtOH extract (400 mg/kg) at 2 hr. The results revealed that Premna integrifolia possesses significant analgesic and anti inflammatory activity. Conclusion: The results suggest that Premna integrifolia has analgesic and anti inflammatory activity thereby justifying its traditional claim.
Enriching Retrieval Process for Case Based Reasoning by using Vertical Association Knowledge with Correlation

—In case-based reasoning (CBR) the most important step is retrieval. The main purpose of the case-based reasoning is to get the cases which are useful to find out the solution for the given problem. For retrieving relevant data the CBR systems mainly uses the similarity knowledge. Most of the retrieving systems use similarity knowledge and association rules for retrieving the required cases. But the existing algorithms strongly rely on similarity knowledge and ignore the other forms of knowledge that can be used to improve the retrieval performance. The well known algorithm Apriori algorithm is used to extract desired relevant cases based on the knowledge system of the association rules with the efficient correlation methods. The goal of this paper is to provide detailed review about retrieving useful cases by using different methods and showing the effectiveness of each algorithm
Survey of Attitudes, Materials and Methods Preferred in Root Canal Therapy by Dentists in Palestine

Procedure related factors define the success of root canal procedures in majority of the cases. While there are several guidelines available, the compliance rate is substantially low. This study evaluates the attitudes, materials and methods preferred in root canal therapy by dentists in Palestine. An online self-administered questionnaire was sent to 200 Palestinian dentists. The questionnaire consisted of a total of 21 questions with multiple choice answers subdivided under general information, general approach to endodontic process, disinfection of root canal and root canal obturation and approach to access cavity restoration. Only about 6% of the dentists stated that they always used rubber dam, with saliva ejector or cotton rolls the most preferred isolation method. Majority of the dentists never used magnification and about 41.17% of them frequently detected and treated a fourth canal. Step-back technique was mostly preferred while K file was most preferred for RCT preparation. Apex locator was the most preferred method of determination of the working length (34%) followed by tactile sensation. Sodium hypochlorite (NaOCl) was the most preferred root canal irrigant and 4% was the most preferred concentration among majority of the dentists. Most preferred use of lateral condensation, gutta percha (GP) with sealer (68.19%). Overall, composite was the most preferred choice for final restoration. Endodontic procedures being followed by majority of the Palestinian dentists were different from those recommended in standard guidelines and evidence based studies. Nevertheless, the findings of this study may be useful as baseline data for future studies.
Design and Analysis of a Novel Low -Power SRAM for high speed vlsi design

: In this paper we propose a novel design of a low power static random access memory (SRAM) cell for high speed operations. The model adopts the voltage mode method for reducing the voltage swing during the write operation switching activity. Dynamic power dissipation increases when the operating frequency of the SRAM cell increases. In the proposed design we use two voltage sources connected with the Bit line and Bit bar line for reducing the voltage swing during the write “0” or write “1” operation. We use 90 nm CMOS technology with 1 volt of power supply. Simulation is done in Microwind 3.1 by using BSim4 model. Dynamic power for different frequencies is calculated. We compare it with conventional 6-T SRAM cell. The simulation results show that the power dissipation is almost constant even the frequency of the proposed SRAM model increases. This justifies the reduction of the dynamic power dissipation for high frequency CMOS VLSI design.