DSpace@ATÜ (Adana Alparslan Türkeş Bilim ve Teknoloji Universiti)
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Academics’ Views of Receiving and Acknowledging Language Assistance
No full textThe 21st century has witnessed the global spread of English as a lingua franca (ELF) across numerous areas, including science and academia, as a consequence of the interplay of various not-so-innocent historical circumstances and the inevitable effects of globalization. The overwhelming dominance of English as an academic lingua franca (EALF) has put academics all over the world under growing pressure to publish in English for various legitimate reasons such as increasing their international visibility, receiving grants and other awards, and satisfying academic appointment and promotion criteria. Consequently, non-native English speaking (NNES) academics have increasingly resorted to professional and/or non-professional language assistance such as translation, proofreading, and editing to get their English-language publications accepted by publishers. This study explored native Turkish-speaking academics’ views and experiences of receiving English language assistance to publish studies and acknowledging the assistance received in published studies. To this end, an online survey was first administered to a non-random sample of academics from various disciplines, and then online interviews were held with a self-selected group of survey respondents. The survey results showed that most academics first write their studies in Turkish and then have someone else translate them into English, and they receive language assistance from various service providers but mostly from freelance translators. While the assistance received is rarely acknowledged in published studies, the most selected reason for this is that journal editors/publishers do not require to do so. However, the analysis of the interview data showed that academics’ concern over possible negative associations about their (in)competence in English is the most prominent reason behind the non-acknowledgement of the assistance received. In conclusion, the present academic publishing industry dominated by EALF seems to be a major site that has created a burgeoning market for language services, while the work of language workers is taken for granted and almost always remains unacknowledged and, by extension, invisible
Analyzing equilateral triangle compact microstrip antennas using Gaussian process regression for telemedicine and mobile biomedical imaging systems
No full textAntennas are vital in the internet of things (IoT) for enabling telemedicine and healthcare communication between devices and networks. They receive and transmit signals, extending range, improving efficiency, and reducing power consumption. Antennas are versatile and can be integrated into devices or added as external modules. Their flexibility and adaptability are important in applications involving humans, as they can bend and conform to the shape of the body. Overall, antennas are a crucial and adaptable component of IoT technology. The first thing that needs to be done is to determine the frequency at which the antenna should operate for the problem at hand and design an antenna that can work at those resonant frequencies. In this study, equilateral triangular-shaped compact microstrip antennas (ETMAs) were chosen, and their resonance frequencies were calculated using the Gaussian process regression method (GPR). For this purpose, 630 ETMA were simulated, and a dataset was created utilizing the antenna characteristics and resonant frequencies. Support vector machines (SVM), artificial neural networks (ANN), and GPR models were trained on the obtained data set. To validate the performance of the trained models, two ETMAs with an outer length of 50 mm and an inner slot length of 5 mm were fabricated utilizing polylactic acid (PLA) and felt-based substrates with copper tape as the conducting material. The accuracy of the resonant frequency estimation using the GPR approach for the fabricated antennas is 2.833% and 1.706% for the PLA- and felt-based antennas, respectively, when compared to the measurement results. The GPR model trained in this study has an accuracy of 0.470% and 0.662% when compared to simulations in the literature and measurement results, respectively. In addition, one of the designed antennas is in wearable form, and the other is PLA, produced with a low-cost 3D printer, allowing continuous monitoring of patients with high cancer risk. In this article, an easier and cheaper microstrip patch antenna that can be used for imaging and telemedicine applications is designed with a copper band on one flexible and one rigid substrate, and its performance is analyzed experimentally.Scientific and Technological Research Council of Turkey (TUBITAK) [122E093]This study is supported by The Scientific and Technological Research Council of Turkey (TUBITAK) with project number of 122E093
Fatty acids, triglycerides, tocol, and sterol contents of oils of some Moringa seed varieties
No full textThree moringa oliefera varieties (MOMAX 3, ODC and PKM-1) seeds were used in this study. The oil was extracted from the seeds of ODC, PKM1 and MOMAX 3 moringa varieties by cold press (CP) and the solvent extraction (SE) method. Fatty acids, triglycerides, tocols (tocopherols and tocotrienols) and sterol contents of moringa seed oils obtained by two different methods were determined and compared with one another. The crude oil yield was between 26.46-28.19% in solvent extraction and 24.20-26.30% in the cold press method. It was determined that the main fatty acid in moringa seed oils (ODC, PKM1 and MOMAX 3) was Oleic acid (63.31-70.04%). Other dominant fatty acids were determined to be palmitic acid (16:0) (5.59-7.26%), stearic acid (18:0) (5.37-5.89%), oleic acid (18:1n9) (%63.31-70.04), arachidic acid (20:0) (2.67-3.71%) and behenic acid (22:0) (3.82-5.73%). It was determined that the main triglyceride in moringa seed oils was triolein (OOO; 35.63-36.50%), the main sterol was ?-Sitosterol (39.04-42.11%) and the main tocopherol was ?-tocopherol (15.88-18.91 µg/g). © 2023, INNOVHUB - Stazioni Sperimentali per l'Industria S.r.l - Area Oli e Grassi. All rights reserved.Adana Al-parslan Türkeş Science and Technology University Scientific Research Projects Unit, (20332002
Problematic of Nation-State and Natural Resources Management (NRM): An Analysis of Hydropolitics in Kyrgyzstan
No full textInternational Conference on Precision Agriculture and Agricultural Machinery Industry, INTERAGROMASH 2022 -- 25 May 2022 through 27 May 2022 -- Rostov-on-Don -- 290029After the dissolution of the Soviet Union, different approaches to state authority and liberal society began to appear once Soviet countries proclaimed their political independence. Since 1991, the Kyrgyz Republic has provided a relatively free environment for the operation of natural source management and its organizations. Then, among the independent Central Asian countries, new problems arose in the management and sharing of national natural resources. The hydrocarbon-rich resources of Uzbekistan, Kazakhstan and Turkmenistan are used to use water for irrigation, and downstream countries such as the economy make large profits, while upstream countries use water as a source of power. As for the fact that the water issue is already politicized in the Central Asian region, Kyrgyzstan state management sees it as a cure for its national security and deeply interested in national socio-economical, progresses. This article focuses on national natural management and political decisions regarding limited natural resources and use for national interest in Kyrgyzstan and also regional solutions in Central Asia. Nation-State policies can lead to conflict between Central Asian countries. It includes extensive research on corporate governance on hydropolitics with political management practices for the future of the community and the stability of national development. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG
A Comparative Study of the Properties of Gelatin (Porcine and Bovine)-Based Edible Films Loaded with Spearmint Essential Oil
No full textGelatin (bovine/porcine)-based edible films are considered as an excellent carrier for essential oils (EOs) to preserve food quality and extend their shelf life. Spearmint essential oil (SEO) is known for its potential antioxidant and antimicrobial effects; nevertheless, its food applications are limited due to the volatile nature of its active components. Thus, edible films loaded with essential oil can be an alternative to synthetic preservatives to improve their food applications. In the present study, the effect of SEO addition was investigated on the physicochemical properties of bovine and porcine gelatin films, and antioxidant activity was assessed. GCMS (Gas chromatography mass spectrometry) analysis revealed the presence of carvone (55%) and limonene (25.3%) as major components. The incorporation of SEO into the films decreased the opacity, moisture content, water solubility, and elongation at break of bovine and porcine gelatin films. However, with the addition of EO, the thickness and water vapor permeability of bovine and porcine-based gelatin films increased. Moreover, the addition of SEO increased the tensile strength (TS) of the porcine-based film, whereas bovine samples demonstrated a decrease in tensile strength. XRD (X-ray diffraction) findings revealed a decrease in the percentage crystallinity of both types of gelatin films. SEM (scanning electron microscope) results showed the changes in the morphology of films after the addition of SEO. Antioxidant properties significantly (p < 0.05) increased with the incorporation of EO when compared with control films. Therefore, the addition of SEO to gelatin-based edible films could be an effective approach to prepare an active food packaging material to prevent food oxidation.TRC [BFP/RGP/HSS/22/007]The study was supported by TRC grant number BFP/RGP/HSS/22/007
A Deep GMDH Neural-Network-Based Robust Fault Detection Method for Active Distribution Networks
No full textThe increasing penetration of distributed generation (DG) to power distribution networks mainly induces weaknesses in the sensitivity and selectivity of protection systems. In this manner, conventional protection systems often fail to protect active distribution networks (ADN) in the case of short-circuit faults. To overcome these challenges, the accurate detection of faults in a reasonable fraction of time appears as a critical issue in distribution networks. Machine learning techniques are capable of generating efficient analytical expressions that can be strong candidates in terms of reliable and robust fault detection for several operating scenarios of ADNs. This paper proposes a deep group method of data handling (GMDH) neural network based on a non-pilot protection method for the protection of an ADN. The developed method is independent of the DG capacity and achieves accurate fault detection under load variations, disturbances, and different high-impedance faults (HIFs). To verify the improvements, a test system based on a real distribution network that includes three generators with a capacity of 6 MW is utilized. The extensive simulations of the power network are performed using DIgSILENT Power Factory and MATLAB software. The obtained results reveal that a mean absolute percentage error (MAPE) of 3.51% for the GMDH-network-based protection system is accomplished thanks to formulation via optimized algorithms, without requiring the utilization of any feature selection techniques. The proposed method has a high-speed operation of around 20 ms for the detection of faults, while the conventional OC relay performance is in the blinding mode in the worst situations for faults with HIFs.Scientific and Technological Research Council of Turkey (TUBITAK); Scientific and Technological Research Council of Turkey BIDEB 2219 International Doctoral Research Fellowship Programme [1059B192100759]; VILLUM FONDEN [25920]This work was supported by The Scientific and Technological Research Council of Turkey BIDEB 2219 International Doctoral Research Fellowship Programme reference number: 1059B192100759.Josep M. Guerrero and Abderezak Lashab are funded by VILLUM FONDEN under the VILLUM Investigator Grant (25920): Center for Research on Microgrids (CROM
Investigation of coffee production opportunities from andız (Juniperus drupacea) berries: Characterization of fresh berries and bioactive components of andiz coffee
No full textLisansüstü Eğitim Enstitüsü, Gıda Mühendisliği Ana Bilim DalıBu çalışmada andız (Juniperus drupacea) meyvelerinin ve bu meyvelerden üretilen kahvelerin biyoaktif bileşenleri araştırılmıştır. Andız meyvesi, termal fırında (120?, 160? ve 200?), (10, 32,50 ve 55 dakika) ve mikrodalga fırında (350W güç 4, 6 ve 8 dakika ve 600W güç 4 dakika ve 6 dakika) kavrulmuştur. Andız meyve ve kahvelerindeki aroma bileşiklerinin analizinde GC-MS-FID tekniği kullanılmış ve 24 adet aroma bileşiği saptanmıştır. Fenolik bileşikleri yüksek performanslı sıvı kromatografisi kullanılarak gerçekleştirilmiş ve 10 adet fenolik bileşik belirlenmiştir. Kahve ekstraktlarında belirlenen toplam fenolik bileşik içeriklerinin 13933-28865 mg gallik asit/kg kuru madde aralığında olduğu saptanmıştır. L*, a* ve b* renk değerlerinin uygulanan kavurma sıcaklık derecesi arttıkça azaldığı belirlenmiştir. Örneklerin antioksidan potansiyelleri ABTS ve DPPH metodları kullanılarak incelenmiştir. En yüksek antioksidan kapasite 120? sıcaklıkta 25 dakika kavrulmuş örnekte belirlenmiştir. Üretilen kahvelerin Staphylococcus aureus üzerinde antimikrobiyal aktivite gösterdiği saptanmıştır. In-vitro gastrointestinal sindirimin andız kahvesi üzerindeki fenolik madde ve antioksidan içeriğinin etkileri incelenmiştir. Çalışmada ayrıca kavrulmuş andız kahvelerinin HMF miktarı 0-0.432 mg HMF/kg kuru madde arasında değişim gösterdiği belirlenmiştir. Yapılan duyusal değerlendirmede termal fırında hazırlanan 22 numaralı örnek (120 ? 25 dakika) en çok beğenilen ve tercih edilen örnek olarak belirlenmiştir.In this study, the bioactive compounds of juniper (Juniperus drupacea) fruits and the coffees produced from these fruits were investigated. Juniper fruits were roasted in a thermal oven (at 120°C, 160°C, and 200°C) for various durations (10, 32, 50, and 55 minutes) and in a microwave oven (at 350W power for 4, 6, and 8 minutes, and at 600W power for 4 and 6 minutes). The analysis of aroma and aroma compounds in juniper fruits and coffees was carried out using the GC-MS-FID technique, identifying 24 aroma compounds. Phenolic compounds were analyzed using high-performance liquid chromatography, revealing the presence of 10 phenolic compounds. The total phenolic compound content in coffee extracts was found to range from 13933 to 28865 mg gallic acid/kg dry matter. The L*, a*, and b* color values were observed to decrease as the roasting temperature increased. The antioxidant potentials of the samples were investigated using the ABTS and DPPH methods, with the highest antioxidant capacity observed in the sample roasted at 120°C for 25 minutes. The produced coffees exhibited antimicrobial activity against Staphylococcus aureus. The effects of in-vitro gastrointestinal digestion on the phenolic and antioxidant content of juniper coffee were examined. Furthermore, the study revealed that the amount of 5-hydroxymethylfurfural (HMF) in roasted juniper coffees ranged from 0 to 0.432 mg HMF/kg dry matter. In sensory evaluation, sample number 22 prepared in the thermal oven (120°C for 25 minutes) was identified as the most liked and preferred sample
Participatory action research in a listening-speaking class in second language teaching: towards a critical syllabus
No full textThe use of a participatory approach may entail taking risks in certain contexts. It involves discussing socio-political issues that aim to challenge the discourse of those in power representing neoliberal ideology. Critical pedagogy and the participatory approach oppose political and neoliberal power relations in educational settings that determine the content of the curriculum and syllabus. This study is a personal reflection around a participatory research activity to create meaningful change through reflection and action. The study involved a lecturer-researcher, four instructors, and eight university students in second language learning settings in a Turkish university; it aimed to improve our social practices and enable the teacher-students and student-teachers to reflect on the current content of the standard curriculum and to produce a critical syllabus for a listening-speaking class. The findings show that the participants and the researcher were anxious about articulating their radical ideas because of the current political atmosphere. Meanwhile, they reported having developed a positive attitude towards the preparation of a critical syllabus. Besides, the participants and the researcher produced a six-stage recommendation for teachers and learners to use a participatory approach. By doing so, we could help one another develop critical perspectives and take action by producing an action plan in classrooms. © 2021 Educational Action Research
A MobileNet-based CNN model with a novel fine-tuning mechanism for COVID-19 infection detection
No full textCOVID-19 is a virus that causes upper respiratory tract and lung infections. The number of cases and deaths increased daily during the pandemic. Once it is vital to diagnose such a disease in a timely manner, the researchers have focused on computer-aided diagnosis systems. Chest X-rays have helped monitor various lung diseases consisting COVID-19. In this study, we proposed a deep transfer learning approach with novel fine-tuning mechanisms to classify COVID-19 from chest X-ray images. We presented one classical and two new fine-tuning mechanisms to increase the model's performance. Two publicly available databases were combined and used for the study, which included 3616 COVID-19 and 1576 normal (healthy) and 4265 pneumonia X-ray images. The models achieved average accuracy rates of 95.62%, 96.10%, and 97.61%, respectively, for 3-class cases with fivefold cross-validation. Numerical results show that the third model reduced 81.92% of the total fine-tuning operations and achieved better results. The proposed approach is quite efficient compared with other state-of-the-art methods of detecting COVID-19
Impact of different salt concentrations on growth, biochemical composition and nutrition quality of Phaeodactylum tricornutum and Spirulina platensis
No full textThe effects of different salt concentrations on the growth, aroma and quality parameters of P. tricornutum and S. platensis were investigated for the first time.Salt contents were 15, 25, 30 and 35%o for the P. tricornutum and 20, 25, 30 and 35%o for the S. platensis culture. Aroma compounds were analyzed by HS-SPME-GC/MS while the organic acid and sugar composition were studied by HPLC-PDA-RID.The main amino acids were glutamic acid (6.24-12.96 mg/100 g) and alanine (3.67-13.65 mg/100 g) while the prevailing sugars were sucrose (229-1099 mg/100 g) and glucose (192-2322 mg/100 g) in the P. tricornutum and S. platensis samples.The most prevailing aroma compound was acetic acid (113 & mu;g/kg) in the P. tricornutum samples and heptadecane (36941 & mu;g/kg) in the S. platensis samples.A significant reduction was found in the amount of aroma compounds, amino acids, sugars and organic acids with increasing salt concentration.The study results are valuable for producing highquality and flavorful P. tricornutum and S. platensis products.Scientific and Technological Research Council of Tuerkiye (TUEBITAK) [120O858]This study was financially supported by the Scientific and Technological Research Council of Tuerkiye (TUEBITAK, Project no: 120O858) . We would also like to thank Dr. Muharrem Keskin from Hatay Mustafa Kemal University, Antakya, Hatay, Tuerkiye for his editing