Browsing by Publisher "MDPI"

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    Marine anticancer agents: An overview with a particular focus on their chemical classes
    (MDPI, 2020) Barreca M.; Spanò V.; Montalbano A.; Cueto M.; Díaz Marrero A.R.; Deniz I.; Erdoğan A.; Bilela L.L.; Moulin C.; Taffin-De-Givenchy E.; Spriano F.; Perale G.; Mehiri M.; Rotter A.; Thomas O.P.; Barraja P.; Gaudêncio S.P.; Bertoni F.
    The marine environment is a rich source of biologically active molecules for the treatment of human diseases, especially cancer. The adaptation to unique environmental conditions led marine organisms to evolve different pathways than their terrestrial counterparts, thus producing unique chemicals with a broad diversity and complexity. So far, more than 36,000 compounds have been isolated from marine micro- and macro-organisms including but not limited to fungi, bacteria, microalgae, macroalgae, sponges, corals, mollusks and tunicates, with hundreds of new marine natural products (MNPs) being discovered every year. Marine-based pharmaceuticals have started to impact modern pharmacology and different anti-cancer drugs derived from marine compounds have been approved for clinical use, such as: cytarabine, vidarabine, nelarabine (prodrug of ara-G), fludarabine phosphate (pro-drug of ara-A), trabectedin, eribulin mesylate, brentuximab vedotin, polatuzumab vedotin, enfortumab vedotin, belantamab mafodotin, plitidepsin, and lurbinectedin. This review focuses on the bioactive molecules derived from the marine environment with anticancer activity, discussing their families, origin, structural features and therapeutic use. © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
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    Organizational democracy in the private sector: A field research
    (MDPI, 2020) Bilge H.; Barbuta-Misu N.; Zungun D.; Virlanuta F.O.; Guven H.
    The process of organizational democracy involves a process of associating employees' participation and satisfaction in business processes, increased innovation, increased stakeholder engagement and ultimately increased organizational performance. Organizations and the people that form the organization adapt democracy to achieve social and economic goals by making use of the blessings of democracy. In this way, they aim to reach their goals and to include all members of the organization in the process while achieving these goals, and to sustain the stability. The main purpose of this study is to analyze the democracy perceptions of blue and white collar employees in the private sector through organizational democracy scales, by using various variables and to contribute to the existing literature. The sample of the study constitutes 209 people, white and blue collar employees at various levels in medium and large scale enterprises in the Manisa Organized Industrial Zone in Turkey. As a result of the study, it is seen that married employees and employees who think that their expertise in the job is good have the power to criticize their businesses and exhibit participation. In addition, it has been concluded that employees that are high school graduates see management fairer in terms of salary than other graduates. Another finding in the study is about the size of the pre-work life centers of the workplace. Perceptions and attitudes of the people living in metropolitan and provincial center metros before work observed that more equality was observed in the workplaces than those living in the district centers. © 2020 by the authors.
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    Determinants of dollarization of savings in the Turkish economy
    (MDPI, 2020) Bărbuţă-Mişu N.; Güleç T.C.; Duramaz S.; Virlanuta F.O.
    This study aims to analyze the nature of the dollarization that takes place in the Turkish economy and to decompose the factors that have contributed to its increase in recent years. With this purpose, we first identify the events that have significantly affected the dollarization trend in Turkey using the Iterative Cumulative Sum of Squares (ICSS) and Markov Switching Dynamic Regression (MS-Dynamic) structural break models. Then, we proceed to analyze the relationship between the percentage of Forex deposits of the residents over total deposits of the residents and the TRY/USD exchange rate using the Johansen cointegration test. USD, EUR, and TRY interest rates are also added to the model as independent variables to account for the effects of the difference between exchange rates. Long-term and short-term effects are tested with the Vector Error Correction Model, and causality is tested using the Granger causality test. The results of the study indicate that speculative trading is not the cause of the dollarization of deposits in Turkey. Additionally, results suggest that the political events have a stronger influence over dollarization compared to economic events. Collectively, our findings suggest that domestic citizens dollarize their deposits with the motivation to protect against political ambiguity rather than economic volatility. The results of the study are in line with the literature in the sense that they support the claim that dollarization can be averted in the short run with an increase in interest rates. © 2020 by the authors.
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    Effects of surface rotation on the phase change process in a 3d complex-shaped cylindrical cavity with ventilation ports and installed pcm packed bed system during hybrid nanofluid convection
    (MDPI, 2021) Kolsi L.; Selimefendigil F.; Omri M.
    The combined effects of surface rotation and using binary nanoparticles on the phase change process in a 3D complex-shaped vented cavity with ventilation ports were studied during nanofluid convection. The geometry was a double T-shaped rotating vented cavity, while hybrid nanofluid contained binary Ag–MgO nano-sized particles. One of the novelties of the study was that a vented cavity was first used with the phase change–packed bed (PC–PB) system during nanofluid convection. The PC–PB system contained a spherical-shaped, encapsulated PCM paraffin wax. The Galerkin weighted residual finite element method was used as the solution method. The computations were carried out for varying values of the Reynolds numbers (100 ≤ Re ≤ 500), rotational Reynolds numbers (100 ≤ Rew ≤ 500), size of the ports (0.1L1 ≤ di ≤ 0.5L1), length of the PC–PB system (0.4L1 ≤ L0 ≤ L1), and location of the PC–PB (0 ≤ yp ≤ 0.25H). In the heat transfer fluid, the nanoparticle solid volume fraction amount was taken between 0 and 0.02%. When the fluid stream (Re) and surface rotational speed increased, the phase change process became fast. Effects of surface rotation became effective for lower values of Re while at Re = 100 and Re = 500; full phase transition time (tp) was reduced by about 39.8% and 24.5%. The port size and nanoparticle addition in the base fluid had positive impacts on the phase transition, while 34.8% reduction in tp was obtained at the largest port size, though this amount was only 9.5%, with the highest nanoparticle volume fraction. The length and vertical location of the PC–PB system have impacts on the phase transition dynamics. The reduction and increment amount in the value of tp with varying location and length of the PC–PB zone became 20% and 58%. As convection in cavities with ventilation ports are relevant in many thermal energy systems, the outcomes of this study will be helpful for the initial design and optimization of many PCM-embedded systems encountered in solar power, thermal management, refrigeration, and many other systems. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
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    Modification of surface and subsurface properties of aa1050 alloy by shot peening
    (MDPI, 2021) Avcu Y.Y.; Gönül B.; Yetik O.; Sönmez F.; Cengiz A.; Guney M.; Avcu E.
    AA1050 Al alloy samples were shot-peened using stainless-steel shots at shot peening (SP) pressures of 0.1 and 0.5 MPa and surface cover rates of 100% and 1000% using a custom-designed SP system. The hardness of shot-peened samples was around twice that of unpeened samples. Hardness increased with peening pressure, whereas the higher cover rate did not lead to hardness improvement. Micro-crack formation and embedment of shots occurred by SP, while average surface roughness increased up to 9 µm at the higher peening pressure and cover rate, indicating surface deterioration. The areal coverage of the embedded shots ranged from 1% to 5% depending on the peening parameters, and the number and the mean size of the embedded shots increased at the higher SP pressure and cover rate. As evidenced and discussed through the surface and cross-sectional SEM images, the main deformation mechanisms during SP were schematically described as crater formation, folding, micro-crack formation, and material removal. Overall, shot-peened samples demonstrated improved mechanical properties, whereas sample surface integrity only deteriorated notably during SP at the higher pressure, suggesting that selecting optimal peening parameters is key to the safe use of SP. The implemented methodology can be used to modify similar soft alloys within confined compromises in surface features. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
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    Jet impingement cooling of a rotating hot circular cylinder with hybrid nanofluid under multiple magnetic field effects
    (MDPI, 2021) Ayadi B.; Selimefendigil F.; Alresheedi F.; Kolsi L.; Aich W.; Said L.B.
    The cooling performance of jet impinging hybrid nanofluid on a rotating hot circular cylinder was numerically assessed under the effects of multiple magnetic fields via finite element method. The numerical study was conducted for different values of Reynolds number (100 ≤ Re ≤ 300), rotational Reynolds number (0 ≤ Rew ≤ 800), lower and upper domain magnetic field strength (0 ≤ Ha ≤ 20), size of the rotating cylinder (2 w ≤ r ≤ 6 w) and distance between the jets (6 w ≤ H ≤ 16 w). In the presence of rotation at the highest speed, the Nu value was increased by about 5% when Re was increased from Re = 100 to Re = 300. This value was 48.5% for the configuration with the motionless cylinder. However, the rotations of the cylinder resulted in significant heat transfer enhancements in the absence or presence of magnetic field effects in the upper domain. At Ha1 = 0, the average Nu rose by about 175%, and the value was 249% at Ha1 = 20 when cases with the cylinder rotating at the highest speed were compared to the motionless cylinder case. When magnetic field strengths of the upper and lower domains are reduced, the average Nu decreases. The size of the cylinder is influential on the flow dynamics and heat transfer when the cylinder is rotating. An optimum value of the distance between the jets was obtained at H = 14 w, where the Nu value was highest for the rotating cylinder case. A modal analysis of the heat transfer dynamics was performed with the POD technique. As diverse applications of energy system technologies with impinging jets are available, considering the rotations of the cooled surface under the combined effects of using magnetic field and nanoparticle loading in heat transfer fluid is a novel contribution. The outcomes of the present work will be helpful in the initial design and optimization studies in applications from electronic cooling to convective drying, solar power and many other systems. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
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    Combined effects of sequential velocity and variable magnetic field on the phase change process in a 3d cylinder having a conic-shaped pcm-packed bed system
    (MDPI, 2021) Kolsi L.; Selimefendigil F.; Omri M.; Ladhar L.
    Effects of sequential velocity and variable magnetic field on the phase change during hybrid nanofluid convection through a 3D cylinder containing a phase-change material packed bed (PCM-PB) system is analyzed with the finite element method. As the heat transfer fluid, 40% ethylene glycol with hybrid TiO2-Al2O3 nanoparticles is considered. Impacts of the sequential velocity parameter (K, between 0.5 and 1.5), geometric factor of the conic-shaped PCM-PB (M, between 0.2 and 0.9), magnetic field strength (Ha number between 0 and 50) and solid volume fraction of hybrid nanoparticles (vol.% between 0.02% and 0.1%) on the phase change dynamics are explored. Effects of both constant and varying magnetic fields on the phase change process were considered. Due to the increased fluid velocity at the walls, the phase change becomes higher with higher values of the sequential velocity parameter (K). There is a 21.6% reduction in phase transition time (tF) between the smallest and highest values of K both in the absence and presence of a constant magnetic field. The value of tF is reduced with higher magnetic field strength and the amount of reduction depends upon the sequential velocity parameter. At K = 1.5, the reduction amount with the highest Ha number is 14.7%, while it is 26% at K = 0.5. When nanoparticle is loaded in the base fluid, the value of tF is further reduced. In the absence of a magnetic field, the amount of phase-transition time reduction is 6.9%, while at Ha = 50, it is 11.7%. The phase change process can be controlled with varying magnetic field parameters as well. As the wave number and amplitude of the varying magnetic field are considered, significant changes in the tF are observed. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
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    Forced convection of non–newtonian nanofluid flow over a backward facing step with simultaneous effects of using double rotating cylinders and inclined magnetic field
    (MDPI, 2021) Kolsi L.; Selimefendigil F.; Said L.B.; Mesloub A.; Alresheedi F.
    The forced convection of non-Newtonian nanofluid for a backward-facing flow system was analyzed under the combined use of magnetic field and double rotating cylinders by using finite element method. The power law nanofluid type was used with different solid volume fractions of alumina at 20 nm in diameter. The effects of the Re number (100 ≤ Re ≤ 300), rotational Re number (−2500 ≤ Rew ≤ 3000), Ha number (0 ≤ Ha ≤ 50), and magnetic field inclination (0 ≤ γ ≤ 90) on the convective heat transfer and flow features were numerically assessed. The non-Newtonian fluid power law index was taken between 0.8 and 1.2 while particle volume fractions up to 4% were considered. The presence of the rotating double cylinders made the flow field complicated where multiple recirculation regions were established near the step region. The impacts of the first (closer to the step) and second cylinders on the heat transfer behavior were different depending upon the direction of rotation. As the first cylinder rotated in the clockwise direction, the enhancement in the average heat transfer of 20% was achieved while it deteriorated by approximately 2% for counter-clockwise directional rotation. However, for the second cylinder, both the rotational direction resulted in heat transfer augmentation while the amounts were 14% and 18% at the highest speeds. Large vortices on the upper and lower channel walls behind the step were suppressed with magnetic field effects. The average Nu number generally increased with the higher strengths of the magnetic field and inclination. Up to 30% increment with strength was obtained while this amount was 44% with vertical orientation. Significant impacts of power law fluid index on the local and average Nu number were seen for an index of n = 1.2 as compared to the fluid with n = 0.8 and n = 1 while an average Nu number of 2.75 times was obtained for the flow system for fluid with n = 1.2 as compared to case for fluid with the n value of 0.8. Further improvements in the local and average heat transfer were achieved with using nanoparticles while at the highest particle amount, the enhancements of the average Nu number were 34%, 36% and 36.6% for the fluid with n values of 0.8, 1 and 1.2, respectively. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
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    Thermal characterization of coolant maxwell type nanofluid flowing in parabolic trough solar collector (PTSC) used inside solar powered ship application
    (MDPI, 2021) Jamshed W.; Şirin C.; Selimefendigil F.; Shamshuddin M.D.; Altowairqi Y.; Eid M.R.
    Parabolic trough solar collectors (PTSCs) are generally utilized to reach high temperatures in solar-thermal applications. The current work investigates entropy production analysis and the influence of nano solid particles on a parabolic trough surface collector (PTSC) installed within a solar powered ship (SPS). For the current investigation, the non-Newtonian Maxwell type, as well as a porous medium and Darcy–Forchheimer effects, were used. The flow in PTSC was produced by a nonlinear stretching surface, and the Cattaneo–Christov approach was used to assess the thermal boundary layer’s heat flux. Similarity transformation approach has been employed to convert partial differential equations into solvable ordinary differential equations allied to boundary conditions. Partial differential and the boundary conditions have been reduced into a group of non-linear ordinary differential equations. A Keller-box scheme applied to solve approximate solutions of the ordinary differential equations. Single-walled carbon nanotubes-engine oil (SWCNT-EO) and Multiwalled carbon nanotubes/engine oil (MWCNT-EO) nanofluids have been utilized as working fluid. According to the findings, the magnetic parameter led to a reduction in the Nusselt number, as well as an increment in skin friction coefficient. Moreover, total entropy variance over the domain enhanced for flow rates through Reynolds number and viscosity fluctuations were monitored by using Brinkman number. Utilizing SWCNT-EO nanofluid increased the thermal efficiency between 1.6–14.9% in comparison to MWCNT-EO. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
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    Efficacy of AI-Assisted Personalized Microbiome Modulation by Diet in Functional Constipation: A Randomized Controlled Trial
    (MDPI, 2022) Arslan N.Ç.; Gündoğdu A.; Tunali V.; Topgül O.H.; Beyazgül D.; Nalbantoğlu Ö.U.
    Background: Currently, medications and behavioral modifications have limited success in the treatment of functional constipation (FC). An individualized diet based on microbiome analysis may improve symptoms in FC. In the present study, we aimed to investigate the impacts of microbiome modulation on chronic constipation. Methods: Between December 2020–December 2021, 50 patients fulfilling the Rome IV criteria for functional constipation were randomized into two groups. The control group received sodium picosulfate plus conventional treatments (i.e., laxatives, enemas, increased fiber, and fluid intake). The study group underwent microbiome analysis and received an individualized diet with the assistance of a soft computing system (Enbiosis Biotechnology®, Sariyer, Istanbul). Differences in patient assessment constipation–quality of life (PAC-QoL) scores and complete bowel movements per week (CBMpW) were compared between groups after 6-weeks of intervention. Results: The mean age of the overall cohort (n = 45) was 31.5 ± 10.2 years, with 88.9% female predominance. The customized diet developed for subjects in the study arm resulted in a 2.5-fold increase in CBMpW after 6-weeks (1.7 vs. 4.3). The proportion of the study group patients with CBMpW > 3 was 83% at the end of the study, and the satisfaction score was increased 4-fold from the baseline (3.1 to 10.7 points). More than 50% improvement in PAC-QoL scores was observed in 88% of the study cohort compared to 40% in the control group (p = 0.001). Conclusion: The AI-assisted customized diet based on individual microbiome analysis performed significantly better compared to conventional therapy based on patient-reported outcomes in the treatment of functional constipation. © 2022 by the authors.
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    Thermal and Phase Change Process in a Locally Curved Open Channel Equipped with PCM-PB and Heater during Nanofluid Convection under Magnetic Field
    (MDPI, 2022) Aich W.; Selimefendigil F.; Alqahtani T.; Algarni S.; Alshehery S.; Kolsi L.
    Thermal performance and phase-change dynamics in a channel having a cavity equipped with a heater and phase-change material (PCM)-packed bed (PB) region are analyzed during nanoliquid convection under an inclined magnetic field. Curvature of the upper wall above the PCM zone is also considered by using the finite element method. Impacts of curvature of the upper wall (between 0.01H and 0.6H, H-channel height), strength of magnetic field (MGF) (Hartmann number between 0 and 40), height (between 0.1H and 0.4H) and number (between 5 and 17) of heaters on the thermal performance and phase-change dynamics are studied. In the interior and wall near regions of the PCM-PB, the curvature effects become opposite, while phase completion time (tF) rises by about 42% at the highest radius of the curvature. Imposing MGF and increasing its strength has positive impacts on the phase change and thermal performance. There is a reduction in tF by about (Formula presented.) and (Formula presented.) when MGF is imposed at Ha = 40 for pure fluids and nanofluids. When thermal performance for all different cases is compared, using MGF+nanofluid+PCM provides the most favorable case. When the reference case (only pure fluid without MGF and PCM) is used, including nanoparticles results in an improvement of 33.7%m while it is further increased to 71.1% when PCM-PB is also installed. The most favorable case by using MGF, nanofluid and PCM-PB results in thermal performance improvement of about 373.9% as compared to the reference configuration. © 2022 by the authors.
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    Coupled Effects of Using Magnetic Field, Rotation and Wavy Porous Layer on the Forced Convection of Hybrid Nanoliquid Flow over 3D-Backward Facing Step
    (MDPI, 2022) Ghachem K.; Selimefendigil F.; Alshammari B.M.; Maatki C.; Kolsi L.
    In the present study, the effects of using a corrugated porous layer on the forced convection of a hybrid nanofluid flow over a 3D backward facing step are analyzed under the coupled effects of magnetic field and surface rotation. The thermal analysis is conducted for different values of the Reynolds number (Re between 100 and 500), the rotational Reynolds number (Rew between 0 and 2000), the Hartmann number (Ha between 0 and 15), the permeability of the porous layer (the Darcy number, Da between (Formula presented.) and (Formula presented.)) and the amplitude (ax between 0.01 ap and 0.7 ap) and wave number (N between 1 and 16) of the porous layer corrugation. When rotations are activated, the average Nusselt number (Nu) and pressure coefficient values rise, while the increment of the latter is less. The increment in the average Nu is higher for the case with a higher permeability of the layer. When the corrugation amplitude and wave number are increased, favorable impacts of the average Nu are observed, but at the same time pressure coefficients are increased. Successful thermal performance estimations are made by using a neural-based modeling approach with a four input-two output system. © 2022 by the authors.
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    Uptake and Presence Evaluation of Nanoparticles in Cicer arietinum L. by Infrared Spectroscopy and Machine Learning Techniques
    (MDPI, 2022) Candan F.; Markushin Y.; Ozbay G.
    The aim of this work was to study the applicability of infrared spectroscopy combined with machine learning techniques to evaluate the uptake and distribution of gold nanoparticles (AuNPs) and single-walled carbon nanotubes (CNTs) in Cicer arietinum L. (chickpea). Obtained spectral data revealed that the uptake of AuNPs and CNTs by the C. arietinum seedlings’ root resulted in the accumulation of AuNPs and CNTs at stem and leaf parts, which consequently led to the heterogeneous distribution of nanoparticles. principal component analysis and support vector machine classification were applied to assess its usefulness for evaluating the results obtained using the attenuated total reflectance-Fourier transform infrared spectroscopy method of C. arietinum plant grown at different conditions. Specific wavenumbers that could classify the different nanoparticle constituents of C. arietinum plant extracts according to their ATR-FTIR spectra were identified within three specific regions: 450–503 cm−1, 750–870 cm−1, and 1022–1218 cm−1, based on larger PCA loadings of C. arietinum ATR-FTIR spectra with distinct spectral differences between samples of interest. The current work paves a path to the future fabrication strategies for AuNPs and single-walled CNTs via plant-based routes and highlights the diversity of the applications of these materials in bio-nanotechnology. These results indicate the importance of family-plant selection, choice of methods, and pathways for the efficient biomolecule delivery, drug cargo, and optimal conditions in the wide spectrum of bioapplications. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
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    Optimization of Laminar Boundary Layers in Flow over a Flat Plate Using Recent Metaheuristic Algorithms
    (MDPI, 2022) Gunal O.; Akpinar M.; Ovaz Akpinar K.
    Heat transfer is one of the most fundamental engineering subjects and is found in every moment of life. Heat transfer problems, such as heating and cooling, where the transfer of heat between regions is calculated, are problems that can give exact solutions with parametric equations, many of which were obtained by solving differential equations in the past. Today, the fact that heat transfer problems have a more complex structure has led to the emergence of multivariate models, and problems that are very difficult to solve with differential equations have emerged. Optimization techniques, which are also the subject of computer science, are frequently used to solve complex problems. In this study, laminar thermal boundary layers in flow over a flat plate, a sub-problem of heat transfer, is solved with recent metaheuristic algorithms. Teaching learning-based optimization (TLBO), sine cosine optimization (SCO), gray wolf optimization (GWO), whale optimization (WO), salp swarm optimization (SSO), and Harris hawk optimization (HHO) algorithms are used in the study. In the optimization problem, the laminar boundary layer thickness, heat flow, and distance from the leading edge are determined. These three models’ minimum, maximum, and target values are found under the specified design variables and constraints. In the study, 540 optimization models are run, and it is seen that HHO is the most suitable optimization technique for heat transfer problems. Additionally, SSO and WO algorithms gave results close to HHO. Other algorithms also set model targets with an average of less than 0.07% and acceptable error rates. In addition, the average problem solution time of all optimization algorithms and all models was 0.9 s. To conclude, the recent metaheuristic algorithms are found to be powerful and fast in solving heat transfer problems. © 2022 by the authors.
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    The Moderator Effect of Communicative Rational Action in the Relationship between Emotional Labor and Job Satisfaction
    (MDPI, 2022) Çamlı A.Y.; Palamutçuoğlu T.B.; Bărbuță-Mișu N.; Çavuşoğlu S.; Virlanuta F.O.; Alkan Y.; David S.; Manea L.D.
    The aim of this study was to determine whether emotional labor behavior has an effect on job satisfaction, and if there is an effect, to reveal whether communicative rational action has a moderator effect. This research was carried out in the banking sector. The sample group consisted of administrators of foreign capital bank managers (427) at all levels in Turkey. The collected data were analyzed with the IBM SPSS 21 program. Multiple regression analysis and SPSS PROCESS v3.5 (model1) methods were used in the analysis. According to the analysis, the three sub-dimensions of communicative rational action (practical-rational action, rational communication, and rational action) have a moderator role in the effect of emotional labor and job satisfaction. The other two sub dimensions (value–rational–action and firm family) do not have a moderator role in this effect. In the analysis made according to the total score of communicative rational action, the moderator role of communicative rational action in the effect of emotional labor and job satisfaction was deter-mined. As a result of the research and analysis, it was determined that emotional labor has a positive effect on the phenomenon of job satisfaction. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
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    The Role of Agile Women Leadership in Achieving Team Effectiveness through Interpersonal Trust for Business Agility
    (MDPI, 2022) Akkaya B.; Bagieńska A.
    The need for organizations to adapt to constant change means the challenges of implementing an agile strategy. Therefore, the purpose of the study is to analyze the role of agile women leadership and team effectiveness by looking into the mediating effect of interpersonal trust based on a cross-sectional quantitative study with a sample of 269 employees from Poland and Turkey. Questionnaires were distributed to individuals in companies having women leaders or managers. The three questionnaires required the respondents to answer questions regarding the perception of agile leadership, trust and team effectiveness. By using SPSS, demographics, descriptive statistics and tests of normality were determined. Smart PLS version 3.0 was used for confirmatory factor analysis, internal accuracy and validity estimates, hypothesis checking and mediation testing. Results of PLS-SEM indicated interpersonal trust has a full mediation role between agile women leadership in shaping team effectiveness. The population of this study are working for organizations of just two countries; hence, the generalizability of the findings to other settings is unknown. Our findings contribute to the literature on women agile leadership and team effectiveness by demonstrating how the growth in trust to managers contributes to the emergence of team effectiveness and the agile leadership trend over time. This study will therefore contribute to the understanding of organized teams’ effectiveness in the perspective of agile women leadership and trust of supervisors. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
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    Analysis of the Relationships among Financial Development, Economic Growth, Energy Use, and Carbon Emissions by Co-Integration with Multiple Structural Breaks
    (MDPI, 2022) Geyikci U.B.; Çınar S.; Sancak F.M.
    In this study, the effects of financial and economic development on energy consumption and CO2 emissions are analyzed using multiple structural breaks, second-generation panel unit root tests, the Westerlund Cointegration Test, and PMG and MG estimators. Unlike classical studies, financial development is included, in the analysis, as an indicator of the accumulated capital as a result of industrial production that has been realized for many years. We conducted a panel data analysis on 13 developing countries for which we could obtain uninterrupted data in the Morgan Stanley Developing Countries index. We found significant relationships between economic growth, energy usage, and CO2 emissions. Financial development and carbon emissions are cointegrated in the long-term, and financial development is found to accelerate environmental pollution. Therefore, energy economists should consider the effect of financial development on energy use and carbon emissions in future studies. Policy-makers in emerging markets are also advised to take necessary actions to reduce carbon emissions while increasing financial development. It is important that the same results were obtained in medium-and small-scale countries, as well as in large economies (e.g., China) under the scope of this review. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
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    Experimental Performance Analysis of a Solar Desalination System Modified with Natural Dolomite Powder Integrated Latent Heat Thermal Storage Unit
    (MDPI, 2022) Selimefendigil F.; Şirin C.; Öztop H.F.
    Solar desalination systems are effective and sustainable applications that are utilized to obtain potable water from saline or contaminated water. In this research, three solar desalination systems, including a conventional system, a phase change material (PCM)-based thermal energy storage unit (TESU), and a natural dolomite powder integrated PCM-based TESU, were structured and experimentally investigated. The developed solar desalination systems were analyzed simulta-neously and the findings were discussed in detail. According to the empirically obtained outcomes, utilizing PCM-based TESUs and dolomite-powder-embedded PCM-based TESUs increased daily cu-mulative productivity by 10.15% and 17.70%, respectively, in comparison to the conventional distiller. Employing dolomite powder increased the energy and exergy efficiencies of the conventional distiller from 15.91% to 18.28% and from 1.26% to 1.78%, respectively. Moreover, environmental metrics such as global warming potential and the sustainability index of the developed solar desalination systems were analyzed within the scope of this work. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
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    Entropy Analysis of the Thermal Convection of Nanosuspension within a Chamber with a Heat-Conducting Solid Fin
    (MDPI, 2022) Le X.H.K.; Oztop H.F.; Selimefendigil F.; Sheremet M.A.
    Heat transport augmentation in closed chambers can be achieved using nanofluids and extended heat transfer surfaces. This research is devoted to the computational analysis of natural convection energy transport and entropy emission within a closed region, with isothermal vertical borders and a heat-conducting solid fin placed on the hot border. Horizontal walls were assumed to be adiabatic. Control relations written using non-primitive variables with experimentally based correlations for nanofluid properties were computed by the finite difference technique. The impacts of the fin size, fin position, and nanoadditive concentration on energy transfer performance and entropy production were studied. It was found that location of the long fin near the bottom wall allowed for the intensification of convective heat transfer within the chamber. Moreover, this position was characterized by high entropy generation. Therefore, the minimization of the entropy generation can define the optimal location of the heat-conducting fin using the obtained results. An addition of nanoparticles reduced the heat transfer strength and minimized the entropy generation. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
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    FinTech Companies: A Bibliometric Analysis
    (MDPI, 2022) Tepe G.; Geyikci U.B.; Sancak F.M.
    The financial-technology industry has recently attracted the attention of many sectors. The financial-technology industry designs new and unusual technological financial services in many areas. It combines technology with finance and provides an alternative to the traditional financial system. In the scope of this study, 636 publications were obtained from Scopus. Various tools, such as Microsoft Excel for frequency analysis, and VOSviewer for data visualization, were used. The open-source codes used for bibliometric analysis through the R Studio program were developed by the authors and used for citation-metrics analysis. The main aim of this study was to find out the most influential studies and authors and to reveal the distributions and impacts of publications in the FinTech area between 2015 and 2021 from the Scopus database. The results indicate that the most influential journal is Sustainability Switzerland, and the most cited author is Gomber et al. Additionally, Rabbani has the most publications, while China has emerged as the most productive country. On the other hand, this study found that FinTech research clustered in four areas. These areas are computer science, business management, economics, and social sciences. This FinTech study examines financial services, financial access, and financial technology, where FinTech is at the center. It also focuses on cryptocurrency, bitcoin, and smart contracts where the blockchain is at the center. The results reveal a systematic map of existing studies. Further, the study plays a guiding role in future research. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.