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Do Editors Hear the Voice of African Scholars? The Importance of Proactive Editorial Policies in Advancing Global IR
No full textAfrica remains one of the least represented continents in the discipline of International Relations (IR). Despite the continent’s rich history and current importance in global affairs, African scholars continue to occupy a marginal position within mainstream IR debates. There is a rich literature on Global IR that critiques the dominance of Western-centric theories, concepts, and ideas in the discipline and calls for homegrown theorizing that reflects indigenous histories, experiences, and worldviews. In striving towards a truly inclusive and representative IR, journal editors have a crucial role to play. Mainstream editorial practices towards this goal include prioritizing articles on Global IR, diversifying the composition of the editorial board, appointing regional co-editors, and the like. This article argues that true inclusivity demands more than representational diversity. It necessitates proactive editorial policies that actively create opportunities for collaboration and dialogue among scholars. This Special Issue epitomizes this proactive editorial approach. The journal’s editorial team reached out to African scholars through social media networks and Africa-focused WhatsApp groups, inviting them to co-author articles with members of the editorial board. Despite its modest scope, this initiative created a platform for collaboration, enabling authors to bridge institutional, regional, and intellectual boundaries. In addition to its objective of increasing African representation in IR scholarship, this initiative places journal acceptance rates under critical scrutiny, highlighting the potential of editorial intervention as an important step towards a more inclusive discipline. In other words, it brings a novel insight into the Global IR by focusing attention on editorial agency, which is an underexplored domain in the IR discipline.</p
Nickel sulfide-filled polyaniline hybrid composites for high-performance thermoelectric materials at room temperature
No full textKENT KİMLİĞİNİ YANSITACAK VE İKLİM DEĞİŞİKLİĞİNE UYUM SAĞLAYABİLECEK ODUNSU BİTKİLER: BURDUR
No full textTri-Layer Composite Nanofiber Wound Dressing Incorporating Glucantime and Silver Nanoparticles for Cutaneous Leishmaniasis Management
No full textA detailed review of evacuated tube solar collectors for sustainable energy, current trends and future prospects
No full textEvacuated tube solar collectors (ETSCs) are among the most efficient solar thermal technologies, reliably converting solar radiation into usable thermal energy across a wide range of climatic conditions. Recent studies on ETSCs cover a broad spectrum of themes. Opportunities for enhancing performance include the use of thermal energy storage, nanofluids, optical concentrators, and inserts. Additionally, new strategies include computational modelling, AI-based optimization, adaptive tilt mechanisms, and multi-criteria decision frameworks. Researchers have also combined thermodynamic analyses with theoretical models and experimental investigations to evaluate system behaviour in greater depth. In parallel, their integration with other renewable energy technologies has been explored, while sector-specific applications, environmental advantages through CO2 mitigation, and techno-economic aspects with policy relevance have been widely reported. Evidence from experimental tests, simulation studies, and field demonstrations shows notable improvements in system design but also highlights persistent operational challenges and efficiency trade-offs. This article provides a comprehensive overview, assesses the current state of development, and connects recent advances with practical applications, while identifying key challenges and research needs to support the long-term sustainability of ETSCs
Enhanced VOC detection capabilities of amorphous boron nanoparticles under visible light illumination
No full textThis study investigates the vapor sensing performance of amorphous boron particles toward acetone, ammonia, and isopropanol at room temperature under dark and visible light illumination. The highest sensor response was obtained for 500ppm acetone, under 485 nm light. The sensing behavior under 485 nm illumination was examined over acetone concentrations 250 and 750 ppm. Light exposure significantly enhanced sensor response and sensitivity, with the most pronounced improvement for acetone. This enhancement is attributed to photo-assisted charge carrier generation, where electron–hole pairs interact with surface-adsorbed oxygen species, accelerating surface reactions. Sensor performance was further assessed under synthetic air and different relative humidity levels, revealing stable and reproducible responses. Moreover, acetone's high dipole moment and dielectric constant facilitate stronger electrostatic interactions with the sensor surface, resulting in faster response and recovery. Overall, amorphous boron particles exhibit strong potential as low-cost, selective, and efficient VOC sensors operating under low-power light conditions
Synthesis and characterization of novel bitumen additive based on waste oils for enhanced asphalt performance
No full textThis research focuses on the synthesis and evaluation of novel bitumen additives aimed at improving the performance and durability of asphalt materials. The synthesized additives were characterized using spectroscopic and thermal analysis techniques, such as FTIR and TGA, to determine their structural and thermal properties. Modified bitumen samples were prepared by incorporating different concentrations of the synthesized additive, and their physical, mechanical, and rheological properties were investigated through penetration, softening point, ductility, flash point and dynamic shear rheometer (DSR) tests. Experimental results indicated that the additive significantly enhances the high-temperature stability, reduces temperature susceptibility, and improves the rheological performance of bitumen. Specifically, modified bitumen exhibited increased resistance to rutting, aging, and oxidative degradation compared to conventional bitumen. This improvement in bitumen performance can lead to extended pavement life, reduced maintenance costs, and enhanced sustainability in road construction
Machine learning approach for multi-parameter performance estimations of EC fan coil units using heating tentative database
No full textFan coils (FCs) are widely utilized, yet little is known about their performance under different operating conditions. A segment of a comprehensive experimental dataset with 1727 data points is used to develop and train four artificial neural network (ANN) architectures to computationally estimate the heat output and available power of a ceiling-mounted FC. The tests have been done via a specifically devised AMCA 210 test apparatus, under interior air and heat exchanger (HEX) fluid conditions recommended by EUROVENT. Utilizing six given inputs, the 1st ANN estimated the airflow rate and fan power. With five dissimilar input parameters, the exit temperature of air as well as the heating capacity was forecasted. Considering five separate inputs, the 3rd ANN assessed the pressure drops at the water side pertaining to the HEX. Depending on eight diverse inputs, the air exit temperature and power of the fan alongside total heating capacity were estimated. In the network models of 10 neurons in the hidden layer, the Levenberg-Marquardt training method has been utilized. Considering the 1st ANN, the deviation that pertained to the air flow rate was found to be −0.59%, as the deviations relevant to the air outlet temperature and heating capacity in the 2nd ANN were detected to be 0.001% and 0.03%, respectively. Additionally, the 3rd ANN resulted in a deviant value of −0.07%, referring to the fluid pressure loss. The 4th ANN has also brought about deviations of −0.005%, −0.13%, and + 0.09%, referring to exit air temperature, heating capacity, and fan power, respectively.</p
Comparison of three different calibration methods and quadruple isotope dilution strategy to design more accurate quantitation method for the determination of monuron in potato flour samples by HPLC-MS/MS
No full textA highly accurate and precise quadruple isotope dilution (ID4) strategy was employed for the determination of monuron in potato flour samples. Isotopic compositions were monitored by tandem mass spectrometry (MS/MS). Isotopically labelled monuron substance (monuron– d 6 ) was synthesized in our research laboratory. After optimizing HPLC-MS/MS system, limit of detection (LOD), limit of quantitation (LOQ) and linear working range (LWR) were figured out as 25.28 ng/kg, 84.27 ng/kg and 0.08–27.55 μg/kg, respectively. ID4 method was carried out by spiked potato flour samples. Percent recovery results (%RRs) for HPLC-ID4-MS/MS system were varied from 99.0 % to 101.7 % with low standard deviation values (1.2–2.3 %). HPLC-ID4-MS/MS method gave excellent accuracy and precision to determine monuron at trace levels in potato flour samples when compared to external, internal and matrix matching calibration strategies. According to the current literature, no study has been employed to determine monuron in potato flour samples by the HPLC-ID4-MS/MS system
From waste COVID-19 face masks to fuel: Pyrolysis-oil/diesel blends with hydrogen enrichment in a CI engine
No full textThe widespread use of face masks was crucial during the COVID-19 pandemic, but their improper disposal creates significant environmental problems. This study explores a sustainable solution by converting waste masks into an energy source through pyrolysis. The liquid product is blended with diesel at 30 % (Mask 30) and tested in a three-cylinder diesel engine under loads of 15–60 Nm at 2000 rpm. To counteract deterioration in engine characteristics, hydrogen is introduced at flow rates of 10, 20, and 30 L/min, resulting in fuel variants Mask 30 + 10 L/min H2, Mask 30 + 20 L/min H2, and Mask 30 + 30 L/min H2. The BSFC of Mask 30 increases by 8.08 % compared to diesel fuel, while BTE decreases. With hydrogen, BSFC decreases by 8.66 %, 15.93 %, and 24.99 % compared to Mask 30, and emissions also decrease. This study demonstrates that COVID-19 masks can be diverted from the environment via pyrolysis and evaluated as an alternative fuel