1.\nOn some stochastic models with applications in cancer evaluation\nKhairia El-Said El-Nadi, M. EL-shandidy and Yousria hamad omralryany\nKhairia_el_said@hotmail.com, eshandidy@yahoo.com and Yousriahamadomralryany@gmail.com\nAbstract\nIn this paper, we consider some stochastic dynamical systems. The stochastic processes related to these models are some different kinds of tumor cancer cells. The growth and diffusion of brain tumor cancer is also studied by using a non-linear stochastic diffusion model. Key words and phrases: Stochastic dynamical systems. Stochastic diffusion processes. Ito integrals tumor cancer cells. AMS subject classifications: 34FO5 – 92 BO5 – 37 C45 – 34A60 – 56C30.

Abstract; In this work Melon Fly Optimization (MFO) Algorithm and Spontaneous Process Algorithm (SPA) is designed to solve the optimal reactive power problem. MFO algorithm has been formed based on the innate events of Melon fly. Due their very excellent eyesight and mutual supportive behavior Melon fly will find the food without difficulty. By smell and vision the Melon fly will move to the best location form the current location. In the preliminary level Melon flies will search the food in multiple directions and they may be far away from the food source, it like scattering in the plane. Then Spontaneous Process Algorithm (SPA) is designed to solve the optimal reactive power problem Formulation of the projected algorithm is done by imitating the process done during nuclear fission and fusion. Every item of a nucleus attribute symbolizes each solution variable. Sequence of operators directs the nucleus and in order to avoid the local optimum it will imitate the dissimilar condition of reaction. In the exploration space nucleus symbolizes the variables and potential solution. Levy flight has been intermingled in the procedure to enhance the diversification and intensification in the search. Melon Fly Optimization (MFO) Algorithm and Spontaneous Process Algorithm (SPA) has been tested in standard IEEE 30, bus test system with considering Voltage stability index. Simulation results show that the projected Melon Fly Optimization (MFO) Algorithm and Spontaneous Process Algorithm (SPA) reduced the power loss comprehensively. Mainly projected Melon Fly Optimization (MFO) Algorithm solved the multi-objective formulation of the problem and with reference to power loss reduction, voltage deviation minimization, voltage stability enhancement results has been analyzed. Then Melon Fly Optimization (MFO) Algorithm and Spontaneous Process Algorithm (SPA) has been tested in standard IEEE 14, 30, 57,118,300 bus test systems without considering voltage stability evaluation index. Simulation study show that the projected algorithm reduced the real power loss comprehensively and there is increase in percentage of reduction of real power loss.

Metal injection molding (MIM) utilizes a compound material consisting of metal powder particles and a binding agent as the feedstock material. However, black lines are frequently observed on the surface of the final sintered product as a result of a phase separation effect of the powder particles in the high strain rate regions of the mold. These lines not only have an adverse effect on the appearance of the molded product, but also seriously degrade the mechanical properties. Consequently, an optimal setting of the MIM processing conditions is required to ensure a uniform distribution of the powder particles during the molding process and a minimal phase separation effect as a result. Taking the case of an orthodontic brace for illustration purposes, the present study combines MIM mold flow simulations with the Taguchi robust design method to clarify the individual and combined effects of the main MIM process parameters on the metal powder concentration distribution in the final sintered product. The results show that the formation of black lines on the surface of the sintered product is dominated by the filling time and melt temperature employed in the molding process. Overall, the results suggest that the molding process should be performed using a short filling time, a high melt temperature, a low packing pressure, a low mold temperature, and a small gate size. Given these process settings, the powder concentration uniformity and phase separation effect are significantly improved; giving rise to a better aesthetic appearance of the final sintered product and an enhanced mechanical strength.

This paper describes the modeling and regulation of a photovoltaic network linked to the grid. The PVS MPPT control and its associated DC/DC converter have been analyzed to obtain the maximum available power. The grid side converter (GSC) control device, which is a tri-phase source voltage inverter (VSI), was introduced. Throughout grid voltage imbalances, special attention was paid to the control algorithms of the GSC converter. In particular, three different control goals need to be achieved: reducing the adverse effects of grid imbalance, at the point of common coupling (PCC), on the injected currents, eliminating double frequency oscillations in active power flow, and eliminating double frequency oscillations in reactive power flow. Results of two control strategies were simulated to show the peculiarities of each control strategy according to the power quality requirements.

Chatbots are easy to use and simulate a human conversation through text or voice via smartphones or computers. In the field of health, chatbots can improve patient information, monitoring, or treatment adherence. The objective of this article is to describe how a chatbot dedicated to disease monitoring and support of patients can interact with them and how data are exploited to be safe.

Two field experiments were carried during the summer seasons of 2018 and 2019 under the conditions of calcareous soil cultivated by soybean. The aim is to compare between the effects of compost, K- humate, and K- silicate applied at 50% and 100% of the recommended dose on soil nutritional status and soybean yield and quality. Treatments were distributed in a randomized complete block design with three replicates. At harvest, representative soil and plant samples from all experimental plots were randomly selected and air-dried to estimate some characteristics. Available N (mg kg-1) increased significantly in soil due to applied K-H by 77.78 % at application rate 100% of the recommended dose compared to the control at a significance level of P = .05. Non-significant increase by 36.66 % and 22.22 % was observed for K-H (rate 50 %) and K-Si (rate 100 %) treatments, respectively. The 100 % application rate of compost showed the most significant increase in seed yield (kg ha-1, 84.88 %) compared to the control followed by K-H (69.07 %) then K-Si (67.39%). Compost at rate 100 % showed the most significant increase of protein and total N (~77.07%) followed by K-Si (~ 60.67 %) then K-H (~ 17.69 %). The concentration (mg kg-1) of Cu, Fe, Mn, Zn, and Si in soybean seeds was almost decreased significantly for compost and K-Si but increased for K-H by increasing the application rate from 50 to 100 %. Results can be dependent on the chemical nature of compost, K-H, and K-Si, and the active uptake of Si by soybean seeds. Compost maximized soil moisture (%) after second irrigation followed by K-Si that may be due to the swelling of compost particles and silicate moieties.

This study examined the prospects of Google Classroom as an innovative instructional approach to facilitate learning with large classes. The population for this study was all University of Ilorin undergraduates in the Faculty of Education while the target population was students exposed to Google Classroom instruction for 2018/2019 academic session. Students who successfully used Google Classroom were purposively sampled for the study. The instrument for the study was a researcher designed questionnaire titled “Google Classrooms Assessment Inventory” with 4 sections. The instruments was face and content validated by Educational Measurement and Technology experts while the items were subjected to test of internal consistency using Cronbach’s Alpha (Section B and C) and Split half (Section A and D) and a reliability of 0.87, 091 and 0.75 were obtained respectively. Three research questions centered on accessibility, usability and challenges while Hypotheses were raised tested the significance of the prospects of Google Classroom for University of Ilorin undergraduates’ learning across gender and departments. Data collected were analysed using descriptive statistics (Research Questions) and inferential statistics (Hypotheses). Findings revealed that Google Classroom is a useful innovative instructional approach for university undergraduates’ learning and therefore holds prospects for achieving SDG Goal 4. However, there is need to improve its level of accessibility to undergraduates if its gains will be maximized by making efforts to alleviate the challenges militating against smooth access. The importance of achieving SDG 4 is central to it being a rider for all other SDGs.

Abstract\nThe beauty of detective literature is in the mental engagement and psychological contest it stages between the author and the readers. However, of stronger import are the structural elements that consistently define the genre –a crime (usually murder), a disguised perpetrator(s), a detective who finally solves the puzzle ‘through a logical assembling and interpretation of palpable evidence’ (Harmon and Holman 146) and the exposure of the culprit. The recurrence of these elements seemingly makes them axiomatic to the existence and being of the detective genre; so that the absence of any of these elements ostensibly denies such a work the status of a detective piece. Nevertheless, Adaora Lily Ulasi’s The Man from Sagamu defies this position, lacks in a religious adherence to the said structural features, yet strongly exists as a detective novel. Relying on New Critical literary approach, this study aims to prove that the above novel has, by implication, expanded the boundaries of the detective genre by infusing some African metaphysical dimensions to the detective fiction elements. By this, the major finding of this research subsists in the fact that the basic indices considered absolute defining features of the detective genre are not quintessential to the being of the detective as a literary genre.\nKey Words: Literature, detective genre, critical theory, literary genre, crime

Introduction: An epidemic of Coronavirus Disease 2019 (COVID-19) began in December 2019 in China leading to a Public Health Emergency of International Concern (PHEIC). Clinical, laboratory, and imaging features have been partially characterized in some observational studies. No systematic reviews on COVID-19 have been published to date.\nMethods: We performed a statistical analysis and review of literature to assess clinical, laboratory, imaging features, and outcomes of COVID-19 confirmed cases. Observational studies and also case reports, also discussed published on reputed journals. We perform the statistical modelling to predict its affects in certain countries. Using pictorial and mathematical presentation, we predict the future cases.\nResults: As on 27th March, 2020 as per data available on Johns Hopkins University, World Health Organization etc. , total number of confirmed cases 528171, total deaths is 24599 and the recovered cases 126192. It is observed that the highest number of cases have been noted in USA 85762 which constitutes 15.51% of the total cases in the world followed by China 81340 which constitutes 14.71% of the total cases confirmed in the world. Further, travel restrictions on the country which has become main hub for the COVID-19 showed less number of confirmed cases. Qatar has recorded 562 confirmed cases, 0 death and 43 recovered.\nConclusion: we present an effort to compile and analyze epidemiological outbreak information on COVID-19 based on the several open datasets on Novel Corona Virus 2019 provided by the Johns Hopkins University, World Health Organization, Chinese Center for Disease Control and Prevention, National Health Commission, and DXY. Using different statistical tools, we tried to identify the way through which its affect can be minimized to a large extend.

As a new world order is formed, entrepreneurial teams and engineering aproaches with small but quick and can mobilize collectively, reaching customers without extending market access time, are preferred instead of the traditional project method. Despite these preferences, the number of leaders in academia and business who adapt into the concept of agile engineering teams recently has been steadily decreasing. The study consists the literature review on introduction, the definition of the model which the criteria are shared in and the result stage and explains the relationship of R&D expenses from national income in OECD countries and the patent numbers of engineering management information systems, teams with the concept of agile models.