Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(64)
- Merdan, Mehmet(47)
- Baltaci, Cemalettin(35)
- Kulakaç, Nurşen(28)
- Duran, Celal(27)
- Ozdes, Duygu(24)
- Turan, Ibrahim(24)
- Demir, Selim(23)
- Türkkan, Tuğba(22)
- Bayrakdaroglu, Serdar(21)
- Topal, Fevzi(21)
- Öztürk, Serkan(21)
- Ürkek, Bayram(21)
- Gücer, Mehmet Ali(20)
- Akar, Zeynep(19)
- Kaygusuz, Abdullah(19)
- Topal, Meryem(19)
- Anaç, Halil(18)
- Aydin, Aydanur(18)
- Batan, Nevzat(18)
- Erata, Hüseyin(18)
- Tuncer, Metin(18)
- Akyürek, Suat(17)
- Baltacı, Cemalettin(17)
- Karimullah, Suud Sarim(17)
- Acet, Tuba(16)
- Akar, Bülent(16)
- Ashyralyyev, Charyyar(16)
- Düzgün, Azer Özad(16)
- Hintistan, Sevilay(16)
- Yılmaz, Coşkun(16)
- Aliyazicioglu, Yuksel(15)
- Kaya, Hacer(15)
- Kurnaz, Muammer(15)
- Kurt, Kemal(15)
- Ozden, Talat(15)
- Yilmaz, Coskun(15)
- Yuksel, Ferhat(15)
- Yücel, Cem(15)
- Öz, Mehmet(15)
Yayınlar
- MakaleAçık Erişim2023Scopus SJRQ4The Effect of a Musical Toy on Preschool Children’s Pain and Anxiety During Blood Collection; [Okul Öncesi Dönem Çocuklarında Kan Alma İşlemi Sırasında Işıklı Dönen Müzikli Oyuncağın Ağrı ve Anksiyeteye Etkisi]
Kurudirek, Fatma; Demir İmamoğlu, Zeynep; Ekici, Sümeyye
Objective: This study examined the effect of providing a lighted, rotating musical toy on preschool children’s pain and anxiety during a blood collection procedure. Methods: The randomized controlled study was conducted on a sample of children aged 4-6 years who applied to the blood collection unit of a state hospital in Turkey from July 1 through August 1, 2022. The data were obtained from 95 children who met the research criteria (48 in the control group and 47 in the intervention group). Stratification and block randomization methods were used to determine the experimental and control groups. The variables of gender and fear of interference were used in the stratification of the children. The Family and Child Information Form, Child Fear and Anxiety Inventory, and Wong–Baker Facial Expression Rating Scale were used to collect the data. Results: The pain scores of the children in the experimental group were found to be lower (1.42 ± 1.05) than those in the control group (2.81 ± 1.23), and the result was statistically significant (P < .001). During the procedure, the mean Child Fear and Anxiety Inventory score of the children in the experimental group (1.21 ± 0.97) was lower than that of the control group (2.72 ± 1.10), and the difference was statistically significant (P < .001). Conclusion: This study found that providing a lighted, rotating musical toy to children aged 4-6 during blood collection effectively reduced their pain and anxiety. In line with these results, it is recommended that nurses and parents use such a toy in blood collection units to reduce pain and anxiety in children.
AtıfScopus4WoS3OpenAlex2TR Dizin1
İncele - MakaleAçık Erişim2023Scopus SJRQ3Agreement Between Nurses’ Anxiety And Depression Levels And Their Compliance With Isolation Measures During The Covid 19 Pandemic: An Online Cross-Sectional Study
Demir Doğan, Melike; Aydin Sayilan, Aylin; Sayilan, Samet
Aims: The purpose of this study was to determine the relationship between nurses’ anxiety and depression levels and their compliance with isolation measures during the COVID-19 pandemic. Background: The global COVID-19 pandemic has had severe psychological impacts on nurses. Methods: Following receipt of the requisite approvals, data were collected actively from 289 nurses consenting to participate in the study through an online questionnaire using theinternet/ social media. Results: Mean stress, anxiety, and depression scores were higher among carers for COVID-19 patients than in non-Covidcarers. Analysis revealed significant positive correlation between Isolation Precautions Compliance Scale scores and stress, anxiety, depression, and burnout. Conclusion: Burnout increased while compliance with isolation precautions decreased in this study as stress, anxiety, and depression increased.
AtıfScopus12WoS9OpenAlex5İncele - MakaleAçık Erişim2023Scopus SJRQ1Daily precipitation performances of regression-based statistical downscaling models in a basin with mountain and semi-arid climates
Şan, Murat; Nacar, Sinan; Kankal, Murat; Bayram, Adem
The impacts of climate change on current and future water resources are important to study local scale. This study aims to investigate the prediction performances of daily precipitation using five regression-based statistical downscaling models (RBSDMs), for the first time, and the ERA-5 reanalysis dataset in the Susurluk Basin with mountain and semi-arid climates for 1979–2018. In addition, comparisons were also performed with an artificial neural network (ANN). Before achieving the aim, the effects of atmospheric variables, grid resolution, and long-distance grid on precipitation prediction were holistically investigated for the first time. Kling-Gupta efficiency was modified and used for holistic evaluation of statistical moments parameters at precipitation prediction comparison. The standard triangular diagram, quite new in the literature, was also modified and used for graphical evaluation. The results of the study revealed that near grids were more effective on precipitation than single or far grids, and 1.50° × 1.50° resolution showed similar performance to 0.25° × 0.25° resolution. When the polynomial multivariate adaptive regression splines model, which performed slightly higher than ANN, tended to capture skewness and standard deviation values of precipitations and to hit wet/dry occurrence than the other models, all models were quite well able to predict the mean value of precipitations. Therefore, RBSDMs can be used in different basins instead of black-box models. RBSDMs can also be established for mean precipitation values without dry/wet classification in the basin. A certain success was observed in the models; however, it was justified that bias correction was required to capture extreme values in the basin.
AtıfScopus26WoS27
İncele - MakaleAçık Erişim2023Scopus SJRQ2Energy and economic assessments of waste heat recovery by designs of economizer, condensing economizer and air preheater; [Ekonomizer, yoğuşmalı ekonomizer ve hava ön ısıtıcı tasarımları ile atık ısı geri kazanımının enerji ve ekonomik değerlendirilmesi]
Terhan, Meryem; Özağdaş, Emre; Omar, Muhammed Arslan
In this study, the waste heat loss of flue gases from the boilers of Kafkas University district heating system has been calculated between 6-8% according to the combustion analysis and the annual cost of this heat loss has been found as $58,658.79. In terms of energy efficiency and the national economy, we think that this lost energy should be recovered as much as possible and fuel and energy savings should be achieved. In the paper, the effects of variants such as air excess coefficient, flue gas temperature, boiler capacity and fuel consumption on the heat recovery from flue gas have been presented in detail. The heat recovery scenarios have been presented for reusing this waste energy for space heating, domestic hot water, and preheating combustion air and the applicability of these scenarios has been investigated in terms of thermodynamics and economics. According to the results of the study, in the second scenario examined to cover the domestic hot water need of the guest house building, the energy savings of the scenario can be provided during 20 years of economic life is $122,820.83, and it has the highest savings income among the scenarios. In addition, it is possible to recover approximately 50% of the flue gas loss with thanks to the scenario. On the other hand, the third scenario of heating the boiler combustion air with waste heat is the easiest and most economical scenario because its payback period is only one year, and there are no extra excavation and pipe costs.
AtıfScopus2WoS2OpenAlex5TR Dizin3İncele - MakaleAçık Erişim2023Scopus SJRQ3Three Sphagnum taxa new to Turkey and South-West Asia; [Tri Sphagnum taksona nova za Tursku i jugozapadnu Aziju]
Özen-Öztürk, Öznur; Özdemir, Turan; Batan, Nevzat; Erata, Hüseyin
Sphagnum jensenii, S. fallax var. isoviitae, and S. pylaesii were found as new to Turkey and Southwest Asia following a bryological field trip to the Giresun province of Turkey. Sphagnum fallax var. isoviitae was also new to Asia. Descriptions, illustrations, world distribution, ecology, and comparisons with related species are presented
AtıfScopus5WoS5OpenAlex25İncele - MakaleAçık Erişim2023Scopus SJRQ3Highly Efficient Spectrophotometric Determination of Cu2+ ion in Aqueous Medium Using a thiosemicarbazone–derivative Ligand
Başoğlu, Aysel; Ocak, Ümmühan; Iyidoğan, Ayşegül Karaküçük
A new simple spectrophotometric method for the determination of Cu2+ ion was developed using an thiosemicarbazone compound, 2-{4-[Bis(2-chloroethyl)amino]benzylidene}-N-[(4-methylthio)phenyl]hydrazinecarbothioamide (TSC). A simultaneous color change was observed (from colorless to bright yellow) by the addition of Cu2+ ion to the TSC ligand solution. The maximum absorbance of the TSC ligand measured at 366 nm was decreased by the presence of Cu2+ ion. The graphs of absorbance obtained by means of the Job’s method and the molar-ratio method proposed a complex formation with a 1:2 Cu2+–TSC ligand stoichiometry. The molar-ratio method with emission measurements also confirmed the stoichiometry. The complex stability constant of TSC–Cu2+ complex (K) was evaluated to be 1.76 × 105. The proposed spectrophotometric method was associated with the change in absorbance at 366 nm owing to the interaction between the TSC ligand and Cu2+ ion. From the spectrophotometric titration data, it was pointed out that TSC ligand (1.5 × 10− 5 mol L-1) selectively reacted with Cu2+ ion in DMSO/water (1:1, v/v, citrate buffer at pH = 6.0). The calibration curve for Cu2+ ion was obtained with a good linearity in the range of 0.0191–0.3241 mg L-1. The detection limit for Cu2+ ion was 0.0063 mg L-1. The proposed method was achievemently implemented in real water samples (drink water, tap water and, distilled water). Satisfactory recoveries were confirmed at three different concentrations. The method presented a relative standard deviation (RSD%) of less than 3.08%.
AtıfScopus7WoS6OpenAlex6İncele - MakaleAçık Erişim2023The new numerical solutions of conformable time fractional generalized Burgers equation with proportional delay; [Oransal gecikmeli uyumlu zaman kesirli mertebeden genelleştirilmiş Burgers denkleminin yeni sayısal çözümleri]
Kartal, Abdullah; Anaç, Halil; Olgun, Ali
The conformable time-fractional partial differential equations with proportional delay are studied using two new methods: the conformable fractional q-homotopy analysis transform method and the conformable Shehu homotopy perturbation method. The numerical solutions to this equation are graphed. Numerical simulations show that the proposed techniques are effective and trustworthy.
AtıfScopus1TR Dizin1İncele - MakaleAçık Erişim2023Scopus SJRQ2Enhancement of adsorptive removal efficiency of an anionic dye from aqueous solutions using carboxylic acid-modified mulberry leaves: Artificial neural network modeling, isotherm, and kinetics evaluation
Duran, Celal; Ozeken, Sengul Tugba; Camoglu, Aslihan Yilmaz; Ozdes, Duygu
Natural mulberry leaves and carboxylic acid-modified mulberry (Morus alba L.) leaves were used for the first time to scrutinize the effects of modification on the retention efficiency of an anionic dye (Remazol Brilliant Blue R (RBBR)) from aqueous solutions to suggest an economical and promising adsorbent for the treatment of dye-contaminated water. The characterization of the adsorbents was accomplished through common techniques including SEM, FTIR, and pHpzc determination. Several parameters studied in batch experiments pointed out that the initial pH of 2.0 and the contact time of 240 min were optimum conditions for all the developed RBBR uptake processes. An artificial neural network (ANN) model was applied to formulate a forecast model for the uptake efficiency of RBBR. The experimental data were assessed by different kinetic and isotherm models to explain the mechanism of the developed processes in more detail. Maximum monolayer adsorption capacities of natural mulberry leaves and acetic acid-, citric acid-, and oxalic acid-modified mulberry leaves were determined as 64.5, 95.2, 84.8, and 91.7 mg g1, respectively, by the Langmuir isotherm model. These results demonstrated that the modification with carboxylic acids significantly increases the anionic dye adsorption capacity of the mulberry leaves.
AtıfScopus4WoS4OpenAlex4İncele - MakaleAçık Erişim2023Scopus SJRQ3Determining the factors influencing tourist souvenir expenditure The case of Turkey
Kızılcık, Onur; Birdir, Kemal
In this study, information will be explored that will contribute to increasing tourism income in destinations with low tourist expenditure per person. For this purpose, the souvenir expenditure of tourists in Turkey is examined. Souvenir stores in Sultanahmet and the Grand Bazaar in Istanbul were investigated using a qualitative case study research design. Semi-structured interviews were conducted with 11 souvenir sellers and 778 online comments of tourists shopping in souvenir stores were analyzed by netnography. As a result of the research, it has been determined that the efforts made to transform products based on the natural, historical and cultural richness of Turkey into brands, and thus increase local product diversity, play a critical role in increasing souvenir expenditure. On the other hand, the importance of the selection of high spending tourists as the target market and increasing the employment of qualified workers in the tourism sector has emerged.
AtıfScopus2OpenAlex5İncele - MakaleAçık Erişim2023Scopus SJRQ3Two Moss Species New to Turkey and South-West Asia
Batan, Nevzat; Özcan, Osman; Özen-Öztürk, Öznur; Erata, Hüseyin; Alataş, Mevlüt; Ezer, Tülay
Abstrat: —Sphagnum russowii and Leptodontium flexifolium found as new to Turkey following a recent bryofloristic foray in Artvin region (Caucasus), from the East Black Sea region of Turkey and Leptodontium is the first record of the genus from Turkey. Descriptions, illustrations, a distribution map, ecological characteristics, and comparisons with morphologically similar taxa were presented.
AtıfScopus1WoS1OpenAlex3İncele - MakaleAçık Erişim2023Scopus SJRQ1Understanding university students WHO do not want to volunteer in disasters: A qualitative study from Türkiye
Demirbilek, Ömer; Öztürk, Serkan
A functional and sufficient volunteer community is needed to reduce the damage of disasters and to have a rapid response and recovery process. Most of the volunteering studies in disasters in the literature focus on the positive side of the volunteering process, but there are many negative points that prevent individuals from volunteering in disasters. In this research, it is aimed to discover why university students, who are one of the most valuable groups in volunteering in disasters, do not volunteer in disasters. The research was conducted with a phenomenological design. Maximum variation and criterion sampling were used to decide the study group. The study group consists of thirteen university students with distinctive characteristics. The interview method was used as the data collection technique, and the semi-structured interview form developed by the researchers was used as the data collection tool. Thematic analysis was conducted with the MAXQDA 2020 qualitative analysis program on the obtained data. As a result of the data analysis, seven themes appeared, consisting of İnformation, Economy, Interpersonal Bonds, Uncertainties, Individual Characteristics, Perceptions of Volunteering, Promotion and Advertising Activities. Finding the negative aspects of volunteering that distracts young people from volunteering will be one of the best preparations for future disasters.
AtıfScopus7WoS2OpenAlex10İncele - MakaleAçık Erişim2023Scopus SJRQ1Identification of the drivers of and barriers to COVID-19 vaccine intake behavior using a mixed-method design: implications from a developing country
Kordestani, Arash; Oghazi, Pejvak; Izmir, Onur; Oypan, Oguz; Ozer, Serhat
Various COVID-19 vaccines are available across the world. However, short phases of clinical trials for emergency use and myriad rumors about and misinformation on vaccines spread through different media sources, induce confusion and trigger vaccine hesitancy behavior. Although clinical trials demonstrated promising results in the ability of vaccines to protect, social endeavor is required for vaccines to succeed. Mitigation of the pandemic is only possible through widespread acceptance of the vaccine. Thus, identifying the factors that impact vaccine intake is crucial. This study determined factors that affect intentions toward vaccination using a mixed-method approach, in which qualitative and quantitative analyses were conducted together. Analysis of variance (ANOVA) is used in the quantitative study, and content analysis is employed in the qualitative study. The final sample of this mixed-method study consists of 568 participants for the quantitative study and 237 for the qualitative study. They were selected using an online questionnaire. Findings suggest that social, psychological, attitudinal, perceptual, and informational factors play a crucial role in shaping people's intentions toward vaccines, ultimately influencing their decision to accept or reject vaccination. Results of both the qualitative and quantitative studies, in parallel with each other, indicated similar barriers against and drivers toward vaccine intake behavior, providing strong insights into the reasons behind vaccine acceptance and hesitancy. Based on the insights gained in this study, a set of recommendations were compiled for policymakers.
AtıfScopus10WoS9OpenAlex11İncele - MakaleAçık Erişim2023Scopus SJRQ12D and 3D Numerical Simulation of Dam-Break Flooding: A Case Study of the Tuzluca Dam, Turkey
Akgun, Cagri; Nas, Salim Serkan; Uslu, Akin
Unlike river floods, floods caused by dam breaks occur much more abruptly and at higher water velocities. The failure of a dam due to any reason can pose a significant threat to settlements in the downstream area due to the high volume of water in its reservoir. In this case study, 2D and 3D numerical failure simulations of Tuzluca Dam, to be built in the Igdir province of Turkey, was performed using the Flow3D Hydro software. The Shallow Water and Reynolds-Averaged Navier-Stokes (RANS) equations were used to simulate flood propagation. In the numerical models, RNG k-ε was chosen as the turbulence model. In the analyses carried out under different scenarios, it was observed that in both methods (2D and 3D), significant flood depths would occur in two downstream village settlements. Within the scope of the study, the mortality rates in different dam-break scenarios of the Tuzluca Dam were also investigated. It has been observed that the dam failure time and breach geometry have a significant impact on the flood propagation and the loss of life in settlements. Additionally, a dam-break experiment in literature dam-break experiment was numerically solved using the Flow3D Hydro software to validate the numerical model, and a satisfactory harmony was observed between the experimental results and the numerical models. Although the 3D analysis provided a more accurate representation of the experimental results, it took approximately 20 times longer to complete the dam failure simulation in the case study compared to the 2D model. As a result, it has been determined that for comprehensive studies such as those of dam failures, 2D analyses may be more practical, while for smaller-scale scenarios or situations requiring greater precision, 3D modelling is appropriate.
AtıfScopus14WoS12OpenAlex12İncele - MakaleAçık Erişim2023Scopus SJRQ3The epiphytic bryophyte succession of Buxus sempervirens forests in the Fırtına Valley, Rize (North Türkiye)
Ezer, Tülay; Alataş, Mevlüt; Batan, Nevzat; Erata, Hüseyin
In this study, the epiphytic bryophyte succession of the Buxus sempervirens L. forests in Fırtına Valley (Çamlıhemşin-Rize, North Türkiye), one of the nine biodiversity hotspots in Türkiye, was investigated. For this pur-pose, a total of 60 sampling plots were taken from the live trunks of B. sempervirens trees of different ages. Twenty-nine epiphytic bryophyte species were determined (24 mosses and 5 liverworts) within the sample plots. Also, six different life form types and four different habitat affinity categories were determined. Among them, the mat type life form is in first place with 34.4% and the cortico-saxicolous species are the most common with 51.7%. Two-way indicator species analysis (TWINSPAN) classified the epiphytic bryophyte communities on B. sempervirens trunks at the second level into two main clusters (A and B) and three sub-clusters (A1, B1 and, B2). Detrended correspondence analysis (DCA) axis 1 was interpreted as gradient along the height of the epiphytic habitat (from the lower base to the upper zone) on trunks and the DCA axis 2 was interpreted as gradient of moisture (from mesic to xeric). Exsertotheca crispa (Hedw.) S. Olsson, Enroth & D. Quandt was the species with the highest index of ecological significance (IES) value on the lower bases of the aged trees. Species diversity and epiphytic cover in the upper zones were lower than in the basal and middle zones in the study area. While Metzgeria furcata, (L.) Corda, Oxyrrhynchium hians (Hedw.) Loeske, Plagiothecium nemorale (Mitt.) A.Jaeger, and Radula lindenbergiana Gottsche ex C.Hartm were only found on old trees, Ctenidium molluscum (Hedw.) Mitt. and Pseudoleskeella nervosa (Brid.) Nyholm were only found on middle-aged trees.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2023Experimenting and thematically analyzing the project study to increase effectiveness of the case of the formation of seasons
Semercioğlu, Melike Güzin; Kalkan, Hüseyin
Teacher education is a critical component of the educational system, as it provides the skills and knowledge necessary for effective instruction in science and other related subjects. The purpose of this research is to enhance the incomplete and incorrect knowledge and skills of science teachers related to the formation of seasons by using a physical model that reveals the “change in the amount of energy per unit surface (CAEUS)”. Twenty-nine teachers from different regions of the country conducted experimental studies with physical models related to the formation of seasons, as part of a 5-day training program that included topics on astronomy. In this study, in which descriptive statistics, inferential statistics, and thematic analysis were used, it was observed that the comprehension of the causes and effects of the change in the amount of energy per unit surface was very successful in the development of mental models for understanding the seasons. Furthermore, the teachers reported that they were able to use the knowledge and skills they gained from the program in their teaching practice. The results obtained were compared with the literature and interpreted accordingly.
- MakaleAçık Erişim2023Scopus SJRQ4Detection of pneumonia from pediatric chest X-ray images by transfer learning
Demir, Yasin; Bingöl, Özkan
When pathogens such as viruses, bacteria and fungi attack the lungs, the alveoli fill with inflamed fluid, causing pneumonia. Early diagnosis of this disease, which has fatal outcomes especially in children under 5 years old, is very important in controlling undesirable situations. Chest X-ray images play an important role in the diagnosis of pneumonia. In addition, the fact that the amount of radiation is lower than imaging devices such as tomography and the possibility of being accessible even from rural areas creates an advantage for X-ray devices. However, X-ray images that are not always clear or human conditions such as fatigue and lack of attention can make it difficult for specialists to detect pneumonia. In this study, a transfer learning-based convolutional neural network (CNN) approach is proposed, which can help specialists in the early and accurate diagnosis of pneumonia in children and, classify healthy and diseased individuals through Chest X-ray images. As a result of the study, an original CNN was proposed by adding additional layers to the AlexNet architecture layers and a test accuracy of 96.31% was obtained. Copyright 2021, Yıldız Technical University.
AtıfScopus9WoS4İncele - MakaleAçık Erişim2023Scopus SJRQ3Geometric properties of timelike surfaces in Lorentz-Minkowski 3-space
Mazlum, Sümeyye Gür
In this paper, the relationships between geodesic torsions, normal curvatures and geodesic curvatures of the parameter curves intersecting at any angle on timelike surfaces in Lorentz-Minkowski 3-space are obtained by various equations. In addition, new equivalents of well-known formulas (O. Bonnet, Euler, Liouville) are found in this space. Finally, the examples of these surfaces are given.
AtıfScopus16WoS16OpenAlex16İncele - MakaleAçık Erişim2023Scopus SJRQ3Exploring managerial insights through multi criteria decision making techniques in pharmacy inventory classification problem
Şimşek, Ahmet Bahadır; Göktekin, Zekiye; Geliç, Büşra
The current research addresses the inventory classification problem of community pharmacies, which have a dual role as both a vital component of the pharmaceutical supply chain and a typical retail store. Despite the existing literature indicating that pharmacists may lack knowledge on inventory management, it seems that the MCIC literature is weak in explaining how pharmacists can benefit from MCDA techniques in all aspects. To bridge this gap, the study aims to demonstrate that pharmacists can utilize MCDA techniques to gain deeper insights beyond mere classification in the context of inventory management. Real-world data from a community pharmacy in Turkey was classified using the EDAS method. Sensitivity analysis was performed for MCDA inputs, about which pharmacists may lack information. Scenario findings based on criterion weights and threshold values offer important managerial implications for pharmacists. This study provides a critical contribution to the literature on inventory management in community pharmacies by highlighting the potential of MCDA techniques to support decision-making beyond mere classification. The sensitivity analysis also sheds light on areas where pharmacists may lack knowledge and suggests ways to address these gaps. Overall, the study underscores the need for pharmacists to have a deeper understanding of inventory management and highlights the potential benefits of MCDA techniques in addressing this challenge.
AtıfScopus4WoS1OpenAlex6İncele - MakaleAçık Erişim2023Scopus SJRQ4The Effect of Different Physical Education Class Hours Applied in Secondary Education on Certain Physiological and Physical Parameters
Sever, Mehmet Onur; Söyler, Mehmet; Çingöz, Yunus Emre; Barkin, Emrah
This study investigates the effects of different physical education lesson hours applied to secondary school students on some physical and physiological parameters. A total of 36 secondary school students voluntarily participated in the study: respectively, 18 from Group 1 and 18 from Group 2 (age: 14.94±0.41 / 14±0.34 years; height: 175.22±7.62 / 169.33±6.95 cm; weight: 61.95±9.07 / 56.83±6.33 kg). While Group 1 students received 8 hours of physical education lessons per week, Group 2 students were given 2 hours of physical education lessons according to the Ministry of National Education curriculum. Body weight (kg) and body fat percentage (%) were determined using the Inbody 270 professional body analysis device. A portable dynamic balance device was used to determine the students' balance. The test results were analyzed using the SPSS Statistics software. Non-parametric tests were employed since the data did not show a normal distribution. The Mann-Whitney U test was used to test the significance of the difference in balance and body fat percentage (BFP) level averages between the two independent groups. Upon evaluating our data, it was statistically ascertained that the dynamic balance (Balance) values of Group 1 secondary school students were significantly higher when compared to Group 2 students. However, no statistically significant difference was found in body fat percentage (BFP) values between Group 1 and Group 2. As a result, it is seen that increasing physical education lesson hours in secondary education contributes to some physical development of young individuals.
- MakaleAçık Erişim2023Scopus SJRQ1Machine learning and domain adaptation to monitor yoghurt fermentation using ultrasonic measurements
Bowler, Alexander; Ozturk, Samet; di Bari, Vincenzo; Glover, Zachary J.; Watson, Nicholas J.
In manufacturing environments, real-time monitoring of yoghurt fermentation is required to maintain an optimal production schedule, ensure product quality, and prevent the growth of pathogenic bacteria. Ultrasonic sensors combined with machine learning models offer the potential for non-invasive process monitoring. However, methods are required to ensure the models are robust to changing ultrasonic measurement distributions as a result of changing process conditions. As it is unknown when these changes in distribution will occur, domain adaptation methods are needed that can be applied to newly acquired data in real-time. In this work, yoghurt fermentation processes are monitored using non-invasive ultrasonic sensors. Furthermore, a transmission based method is compared to an industrially-relevant non-transmission method which does not require the sound wave to travel through the fermenting yoghurt. Three machine learning algorithms were investigated including fully-connected neural networks, fully-connected neural networks with long short-term memory layers, and convolutional neural networks with long short-term memory layers. Three real-time domain adaptation strategies were also evaluated, namely; feature alignment, prediction alignment, and feature removal. The most accurate method (mean squared error of 0.008 to predict pH during fermentation) was non-transmission based and used convolutional neural networks with long short-term memory layers, and a combination of all three domain adaption methods.
AtıfScopus28WoS26OpenAlex33İncele