This paper aims to analyse the performance of machine learning algorithms in detecting skin cancer types. Skin cancer has various types, some of which may lead to death. Therefore, early detection of skin cancer can help reduce the death rate. Our dataset was extracted from the archive of The International Skin Cancer Collaboration of imaging (ISIC). The dataset consists of 2637 benign and malignant images for training and 660 benign and malignant images for testing. The goal of this paper is to identify the algorithm that gives the maximum accuracy in detecting skin cancer types when applied on dataset images. The algorithms applied are Convolution Neural Network (CNN), Support Vector Machine (SVM) and Artificial Neural Network (ANN). The obtained results showed that Convolution Neural Network algorithm provided the highest accuracy (0.90) comparing to the Artificial Neural Network (0.84) and Support Vector Machine (0.83) algorithms.

With the proliferation of machine learning applications in all the surrounding fields and the rapid spreading of the internet of things (IoT), there is a growing need to merge between both of them. For this reason, there had to be an intersection between machine learning (ML) and the tiny edge in the internet of things (IoT) called Tiny machine learning (TinyML). TinyML is a recent technology that can be used to improve edge devices with low power consumption to engage machine learning (ML)and deep learning (DL) as well. This technology can change the way of communication between IoT devices and their data by allowing the device to interact with the data locally without sending it to the cloud. In this paper, we present an overview of the revolution of TinyML and its benefits. As well, we provide holistic coverage of TinyML studies that present the studies based on the DL methodologies, models, metrics and studies concerning the devices design considerations. Moreover, the used datasets in TinyML applications are demonstrated and the different devices are also explained.

Introduction:\nSeptoplasty is a common day-case surgery, can be performed both under local or general anesthesia in otorhinolaryngology practice. It is not a consensus that local septoplasty is a difference in terms of complications and surgical comfort compared to general anesthesia. Our aim is to compare both methods in intraoperative and postoperative periods.\nMaterial and method:\nIn total, two groups of 437 patients were all male patients. The patients were between 19-53 years of age. Group 1 consisted of 397 patients and Group 2 consisted of 40 patients. Surgical duration, intraoperative and postoperative bleeding amount, pain by Visual Analog scale (VAS) scores were compared.\nResults:\nLess intraoperative bleeding, postoperative bleeding and nausea were observed under local anesthesia (p <0.05). Severe arrhythmia was observed in 1 patient in the case of local surgery, and 1 patient with septoplasty under general anesthesia had severe intraoperative bleeding.\nConclusion:\nThere was no difference between the groups in terms of septoplasty satisfaction. Less intra- operative and postoperative bleeding are the advantages of local septoplasty. In experienced hands, local surgery is a method that can be preferred for both physician and patient.

Picture fuzzy sets are an advanced tool of three-dimensional membership functions which consist of membership, non-membership and hesitancy degrees. In this paper, it is introduced a new approach via proximal spaces for picture fuzzy sets. To do this, the picture fuzzy proximity axioms are defined on proximal relator spaces and given some examples related to the subject.

In this article, we introduce and study a new generator of continuous lifetime distributions\ncalled the Topp–Leone Weibull G family. Some of its statistical properties are proposed. The\nnew failure rate can be \"monotonically increasing\", \"monotonically decreasing\", \"bathtub\"\nand \"J shape\". Simple type Copula is decribed and presented via Farlie Gumbel Morgenstern\nfamily, modi…ed Farlie Gumbel Morgenstern family and Clayton Copula. Graphically and\nusing the biases and mean squared errors, we perform simulation experiments to assess of the\n…nite sample behavior of the maximum likelihood estimations. The importance and ‡exibility\nof the proposed family is illustrated by means of two applications to real data sets.

Health literacy is applied on social cognitive skills that determine motivation and capability of individuals in achievement, perception, and using information in such a way that leads in preservation and promotion of their health. Current research was conducted aiming at determining impact of health literacy intervention in pregnant women on self-efficacy and prenatal care. \nMethods:It is an experimental study carried out on 90 pregnant women (45 per groups) living in Iranshahr. Multistage random sampling method was used. Educational intervention based on health literacy and empowerment of pregnant women was carried out within one month in group and individual manner in case group. Data collection tool included maternal health literacy survey (MHLAP) and self-efficacy of pregnant women survey. Data were analyzed using SPSS version 18 software and independent t-test, pairwise t test, and chi-square test. The significance level was considered <0.5 .\nResults: Unlike control group, significant difference was observed in average health literacy, self-efficacy, and prenatal care behaviors after educational intervention in intervention group P˂0.001). Average health literacy, self-efficacy, and prenatal care behaviors increased to 21.62, 22.21, and 9.13 percent, respectively, in case group compared to before intervention. \nConclusion: Strategies of health literacy promotion should be developed in order to promote health literacy and thus self-efficacy and prenatal care.

The ability of many bacteria adhering on the host surfaces and forming biofilms has major implications in a wide variety of industries including the food industry, where biofilms may create a persistent source of contamination. In the same environmental condition, the multiple bacterial species can closely interact with each other and may easily enhance their drug resistance capability, which finally increases the multi-drug resistant (MDR) attribute of the species. The present study examined whether the mixed-species biofilm possesses any impact on the enhancement of the antibiotic resistance of the planktonic or single cell bacterial isolates present in the fish samples. In this regard, Cyprinus rubrofuscus (Koi), Heteropneustes fossilis (Shing) and Mystus vittatus (Tengra) fishes were collected and subjected to form an in vitro biofilm by shaking condition into wise bath. The drug resistant pattern was determined by Kirby Bauer technique. All the samples exhibited huge array (up to 107 cfu/ml or g) of bacteria such as E. coli, Klebsiella spp., Vibrio spp., Salmonella spp., Proteus spp. and Staphylococcus spp. The isolates from both the bulk samples and their corresponding biofilms were subjected to antibiogram assay using antibiotics such as Ampicillin (10 µg), Erythromycin (15μg), Streptomycin (STP 10μg), Oxacillin (10 µg), Nalidixic acid (30 µg). Before biofilm formation, few of the isolates were found to be sensitive and few were resistant against the antibiotics. But when the species were isolated from the biofilm the sensitive one acquired drug resistance and resistant strain unveiled more resistance towards the same antibiotics. The present study revealed extensive bacterial contamination in fish samples among those some were resistant against the supplied drugs. After the formation of multi-species bio-film, the isolates became more resistant against the same drugs that is alarming for consumers and major obstacles in order to maintain sustainable health.

The current work elaborates the movement of non-Newtonian fluid using Jeffrey fluid model through an inclined non-uniform peristaltic conduit considering long wavelength and tiny Reynolds number approximation. Axial mean velocity and transverse mean velocity have been solved analytically and are analyzed to know their behavior under the effects of Darcy number, slip parameter and Jeffrey parameter.

This article proposes a new method which can be used in order to evaluate the mechanical responses of the spans. In fact, this method can monitor the stiffness degradation of spans through the time. This monitoring processes will be conducted at different measuring points on spans, different spans within then same measuring period, or within different measuring times. The obtained results show that the application of algorithm of cumulative functions of moments on power spectral density has brought many positive preliminary outcomes in evaluating the quality of projects during their operational period. The study also shows that this cumulative function allows us to identify the dangerous points on spans or on different dangerous spans of a bridge.

In MANET, the routing plays a vital role in terms of packets interaction and data transmission. It is always easy to manage the data transmission over the MANET because of dispersed control on the MANET nodes. Since the efficient route on MANET controls the packets and not simplify the route between the source to the destination. Hence the maintenance of route interaction becomes a crucial process. To maintain effective data transactions over the MANET Network, it is essential to improve the route and reduce the attacker. Nevertheless, MANET allows for route interaction against security threads. In this research article, four processing schema are suggested to preserve the security measures against Routing Protocols. especially in node Communication, the Rushing Attacker is made a major impact on packet-based data transmission in MANET. In this article, an Attacker detection automation of the Bees Colony Optimization (ADABCP) Method is proposed. The major part played by an ADABCP is bringing about a result of effective Attacker detection on the routing process. Moreover, the proposed Hybrid Random Late Detection (HRLD) routing protocol manages the MANET routing and also overcoming the congestion communication on MANET. To increase the performance degradation, the Swift Implicit Response Round Trip Time (SIRT) Mechanism is generated by the Route Finding Manipulation (RFM). This RFM scheme helps to find the optimal routing with a secure and an intelligent manner. The proposed result was compared against existing ESCT, ZRDM-LFPM, and ENM-LAC approaches. As a result, the proposed illustration (SIRT– ADABCP-HRLD) to be improved by routing and data transmission. In comparison to the proposed method, it achieves a better ratio for the end-to-end delay, communication overhead, packet delivery ratio, network lifetime, and energy consumption

A large number of problems in the universe can be solved by drawing graphs. Graph labeling is one of the key topics in graph theory to solve real life problems. $L(h,k)$-labeling is widely used in frequency assignment, circuit design, coding theory, x-ray crystallography, communication network addressing, missile guidance, signal processing, etc. $L(2,1,1)$-labeling is an extension of $L(h,k)$-labeling.\n\n Let $G=(V, E)$ be a graph. The $L(2,1,1)$-labeling of the graph $G$ is a mapping $\\tau:V\\rightarrow \\{0,1,2,\\ldots\\}$ so that $|\\tau(u)-\\tau(v)|\\geq 2$, if $d(u,v)=1$, $|\\tau(u)-\\tau(v)|\\geq 1$, if $d(u,v)=2$ or $3$, where $V$, the vertex set of $G$ and $d(u, v)$, the distance between the vertices $u$ and $v$. $\\lambda_{2,1,1}(G)$ is the $L(2,1,1)$-labeling number of $G$. $\\lambda_{2,1,1}(G)$ is the greatest non-negative integer that is used to label the graph $G$.\n\n In this article we have studied $L(2,1,1)$-labeling of squares of some simple graphs namely, paths, complete graphs and complete bipartite graphs and have showed that\n \\vspace{-10pt}\n\\begin{eqnarray*}\n \\lambda_{2,1,1}(P_n^{2})&=&\\left\\{\\begin {array} {ll } 0 & \\text{ if } n=1\\\\\n 2 & \\text{ if } n=2 \\\\\n 4 & \\text{ if } n=3\\\\\n 5 & \\text{ if } n=4,5,6\\\\\n 6 & \\text{ if } n\\geq 7\\\\\n \\end{array}\n \\right.\n \\end{eqnarray*}\n Besides this a technique is presented to $L(2,1,1)$-label any square of paths. Also, we have proved $\\lambda_{2,1,1}(K_n^{2})=2n-2$ and $\\lambda_{2,1,1}(K_{m,n}^{2})=2(m+n-1)$ where $K_n^{2}$ and $K_{m,n}^{2}$ are square of complete graphs and square of complete bipartite graph. The result of this article is new, exact and also it is unique.