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2021 ◽  
Author(s):  
Maria Angela Capello ◽  
C. Susan Howes ◽  
Eve Sprunt

Abstract Mentors, sponsors, and networks increase your chances of having a successful career. Mentors provide valuable guidance and advice on career alternatives, while sponsors support candidates selected for highly desirable roles by serving as a reference that they can perform well in positions of increasing responsibility and importance. Networking increases the number of people who are familiar with your abilities and is a powerful way to sustain and enhance your reputation and circle of influence. Networking is about making the right connections and building beneficial relationships. In this article, we showcase how the combination of mentoring, sponsoring, and networking produces advisors who can enable us to have a rewarding and successful professional career. We share our three-component system for optimizing your chances of career success. – Mentoring and the "Critical Listening" model: Intelligent questioning, ranking of options or preferences, and attentive listening are used during mentoring sessions. The balance between these modes as you progress through your career from fresh graduate to mid-career to experienced professional. This model includes practical examples to guide you in your approach mentoring loops whether for either the first or for the nth time with the aim of maximizing the value you can gain from mentoring. – Sponsoring and the "BET" model: BET is our acronym for Building a Network, Equal Priorities, and Tactics (BET). We explain how individuals can acquire and tactically leverage sponsors throughout their careers. The approaches of sponsors and protégées evolves with career stage, that changes priorities and focus. – Networking Development and Optimization: Networking for mentoring and sponsoring is essential to career success. A diverse network enhances innovation and problem solving. We benefit from both deep and shallow connections. Networking built on a foundation of reciprocity includes an exchange of mutually beneficial information that establishes long-lasting professional relationships. Methods to diagnose and address network gaps help professionals to achieve career objectives. Strong networking skills build collaborative relationships that add value for both one's career and employer. Understanding how to maximize the value of mentoring, sponsoring, and networking is essential to career success. We encourage self-analyses throughout your career and provide guidelines on how to leverage mentors and sponsors and utilize best practices to expand your professional network. In an era where COVID has drastically changed how most of us work, understanding how to thrive with these three key instruments for career success is challenging, given the additional hurdle of having to do it in a virtual ecosystem with fewer or no opportunities to meet face to face. This article raises awareness and provides practical guidance for individuals on building beneficial relationships from mentoring, sponsoring, and networking. Keeping networks alive and strong in a reduced mobility world requires new strategies.


2021 ◽  
Vol 15 (3) ◽  
pp. 377-388
Author(s):  
Sadek Chentouf ◽  
◽  
Smail Kacha ◽  
Réda Marouf ◽  
Fouad Mekhalef Benhafsa ◽  
...  

Synthesis, characterization and application of the polyaniline-diatomite (PAD) composite in the adsorption of Reactive Red 120 (RR 120) and Acid Blue (AB) dyes were carried out. The composite was prepared by the in situ polymerization of aniline. Mass of purified diatomite was mixed with a solution containing aniline dissolved in 2M hydrochloric acid at room temperature. The solid obtained was characterized using the SEM, XRD and FTIR analyses. The kinetic adsorption of dyes was described using the pseudo-second order kinetic model. The adsorption isotherm of the RR 120 dye can be fitted by the Freundlich adsorption isotherm model. However, the adsorption isotherm of the AB dye can be better fitted by the BET model.


2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Samantha Hoang ◽  
Laurel Marsh ◽  
Alberto Aliseda ◽  
I. Y. Shen

Abstract This paper examines two different factors that will affect energy consumption for multi-rotor drones with more than four rotors. First, the choice of aerodynamic model for the rotor blades is examined. Two aerodynamic models, the blade element theory (BET) model and lumped blade (LB) model, are compared using vertical, roll, pitch, and yaw trajectories. The BET and LB models produced very different trajectories with identical inputs, especially in the vertical and yaw trajectories which differed by 87.9% and 52.5%, respectively. The BET and LB models also result in different energy usages with the LB model consistently predicting 36% more energy consumption. The second factor studied is the choice of rotor groupings. For a multi-rotor drone, different rotor groupings may result in different energy usages; two groupings are considered. The same four basic trajectories are compared. The results show that the two groupings have an energy difference of 4.7–4.9% for each of the roll, pitch, and yaw directions which implies that each grouping has a base energy consumption inherent to it. Then, possible energy compounding effects are explored by examining a complex trajectory. The complex trajectory yields a 9.26% energy difference between the two groupings but further examination reveals that the difference is due to differences in the final trajectory not energy compounding effects. Thus, it is concluded that the aerodynamic model and rotor groupings are two important factors that must be considered when energy consumption needs to be minimized.


Author(s):  
Luis Gomes Moura Neto ◽  
Janaina De Paula da Costa ◽  
Denise Josino Soares ◽  
Emanuel Marques da Silva ◽  
José Maria Correia da Costa

<p>Various drying techniques can be applied, depending on the raw material you want to dehydrate and what you want to obtain. One way to assess whether the dehydration method was efficient is through sorption isotherms. The objective of the work was to analyze and compare the adsorption isotherms of the cajá pulp powder obtained by atomization, with the use of maltodextrin (Test A) and maltodextrin and soy lecithin (Test B). The mathematical models of GAB, BET, Henderson and Oswin were used to represent the isotherms at 25, 30, 35 and 40 ° C. The results showed that the addition of lecithin gives a statistically different powder (p &lt;0.05) from a powder without addition in relation to soluble solids, total sugars and its color. The BET model was the one that best fit Test A, and the Henderson model was the one that best fit Test B, which proved to be Type III in the J format. It was also observed that the addition of soy lecithin provided greater water adsorptio, which demonstrates that the product should be stored in a location with low levels of relative humidity or in packaging with low permeability.</p>


2020 ◽  
Vol 5 (4) ◽  
pp. 501-509
Author(s):  
Hauwa L. Yusuf ◽  
Balarabe B. Isma’il ◽  
Amin Oderaa Igwegbe ◽  
Paul Y. Idakwo ◽  
Hadiza K. Bako

The study was aimed at establishing storage stability indices of a traditional smoke dried product kamsa, produced from beef. The sample was produced using a standardized method and stored over a period of six months. Data for sorption studies was generated between the temperature ranges of 33.8oC to 50oC for adsorption and desorption using the gravimetric method. The data was analyzed using the Guggeinheim Anderson de Boer (GAB) and the Brunaeur Emmett Teller (BET) model equations. A nonlinear regression analysis method was used to evaluate the constants of the sorption equations. From the results using the GAB model, the monolayer moisture content (Mo) decreased from 0.021 to 0.008gH2O/g solids; the value of the constant K, increased from 0.587 to 1.052; and the value of CG decreased from 2.481 to 2.154. For desorption, the value of Mo decreased from 0.021 to 0.004g H2O/g solids; K increased from 0.587 to 1.035; CG increased from 2.173 to 2.646. The model gave low percent standard error values. The correlation coefficient (R) values obtained for both adsorption and desorption ranged from 0.998 to 0.999, and 0.991 to 1.000, respectively. The Mo values using the BET model at 33.8oC for both adsorption and desorption were 0.055, 0.055, 0.052, 0.049, 0.058, 0.055g H2O/g solid; and 0.057, 0.057, 0.052, 0049, 0.052, 0.057g H2O/g solid, respectively. At 50oC, the adsorption and desorption monolayer moisture values were 0.039, 0.047, 0.049, 0.049, 0.052, 0.058 gH2O/g solids; and 0.054, 0.047, 0.052, 0.052, 0.039, 0.052 gH2O/g solids, respectively. The study concluded that, the GAB model was more suitable in describing the sorption characteristics of Kamsa within the prescribed water activity and temperature ranges.


2020 ◽  
Vol 180 ◽  
pp. 03007
Author(s):  
Albena Durakova ◽  
Adelina Bogoeva ◽  
Velichka Yanakieva ◽  
Tzvetana Gogova ◽  
Kornelia Choroleeva

The present study determined the physico-chemical parameters of the exotic fruit jujube (Ziziphus jujube mill) of Bulgarian origin – pH of 4.62, refractometric dry matter of 31.6 %, dry matter (in weight) of 36.78 %, TTA (total titratable acidity) – citric acid – of 0.67 %, 0.70 % malic acid, 65.95 % moisture, 0.78 % fibre, 1.41 % protein, 23.65 % carbohydrate, 0.24 % fat and energy value of 428.44 kJ/102.4 kcal. Equilibrium moisture content and monolayer moisture content were established for desorption concerning eight water activities in the 0.1 0.9 range and the temperatures of 10 °С, 25 °С and 40 °С. The coefficients of the modified Oswin, Chung-Pfost, Halsey and Henderson models were obtained statistically. The modified Halsey model is recommended as a description of the desorption isotherms of jujube (Ziziphus jujube mill) since it corresponds to the criteria for model assessment and suitability. Via BET model linearization, the values of the monolayer moisture content for desorption at the temperatures of 10 °С 5.41 % d.b., 25 °С – 4.65 % d.b. and 40 °С 5.08 % d.b were determined.


2020 ◽  
Vol 180 ◽  
pp. 03008
Author(s):  
Albena Durakova

The present study determined the sorption characteristics of Bulgarian penny buns (Boletus) for eight water activities in the 10 % 90 % range and at three temperatures, of 10 °С, 25 °С and 40 °С. The coefficients of the modified Oswin, Chung-Pfost, Halsey and Henderson models were obtained statistically. The modified Halsey model is recommended as a description of adsorption and desorption isotherms since it corresponds to the criteria for model assessment and suitability. Via BET model linearization, the values of the monolayer moisture content for water activity of aw > 0.5 and temperatures of 10 °С, 25 °С and 40 °С were established. The approximate physico-chemical composition of Bulgarian penny buns (Boletus) – moisture content – 10.80 %, protein – 32.23 %, carbohydrate 0.99 %, fat – 6.62 %, ashes – 6.20 % - was also determined.


2019 ◽  
Vol 1 (3) ◽  
pp. 98
Author(s):  
Norvi Fatmawati ◽  
Thamrin Usman ◽  
Titin Anita Zahara

Pontianak peel fruit waste contains pectin, cellulose, and hemicellulose which can be used as heavy metal adsorbents by modifying using Ca(OH)2. The purpose of this study was to determine the physicochemical characteristics of calcium-modified Pontianak Citrus adsorbents (JeP-Oca), determine the maximum capacity of Fe(II) adsorption by JeP-OCa, and JeP-OCa adsorption kinetics. The characteristics of the adsorbent were analyzed using the Fourier Transformation Infra Red (FTIR) showing the functional groups of –OH and -COOH, Electron Scanning (SEM) Microscopy showing the surface structure of the canal and many irregular niches. The adsorption isotherm method with the BET model showed a large difference in porous surface area, namely 104.872 m2/g for JeP, 242.649 m2/g for JeP-ONa and 3759.745 m2/g for JeP-OCa. Optimization of the influence of pH, adsorbent mass, adsorbate concentration, and time using the column method. Adsorption isotherm followed the Freundlich isotherm model with maximum adsorption capacity value of 22.7272 mg/g. Fulfill the pseudo-order 2 reaction kinetics with a rate constant value of 4.097 L/mg. Min. The adsorption application using groundwater resulted in absorption efficiency of 82.99%.


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