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  Subjects -> SCIENCES: COMPREHENSIVE WORKS (Total: 374 journals)
Showing 201 - 265 of 265 Journals sorted alphabetically
Sciential     Open Access  
Scientific African     Open Access  
Scientific American     Full-text available via subscription   (Followers: 510)
Scientific American Mind     Full-text available via subscription   (Followers: 10)
Scientific Bulletin     Open Access   (Followers: 1)
Scientific Data     Open Access   (Followers: 7)
Scientific Journal of Pure and Applied Sciences     Open Access   (Followers: 1)
Scientific Reports     Open Access   (Followers: 83)
Scientonomy : Journal for the Science of Science     Open Access   (Followers: 1)
Selforganizology     Open Access  
Simbiótica     Open Access  
Smart Science     Open Access  
South African Journal of Science     Open Access   (Followers: 2)
South American Sciences     Open Access   (Followers: 2)
South East European University Review (SEEU Review)     Open Access   (Followers: 3)
Springer Science Reviews     Hybrid Journal   (Followers: 2)
Studies in Science Education     Hybrid Journal   (Followers: 18)
Tanzania Journal of Science     Open Access   (Followers: 4)
TD : The Journal for Transdisciplinary Research in Southern Africa     Open Access  
Technologies     Open Access   (Followers: 1)
Temas y Debates     Open Access  
The Innovation     Open Access   (Followers: 8)
The Social Studies     Hybrid Journal   (Followers: 3)
Theoria     Open Access   (Followers: 3)
Transactions of Tianjin University     Full-text available via subscription  
Trilogía     Open Access  
TÜBAV Bilim Dergisi     Open Access  
Türk Bilim ve Mühendislik Dergisi     Open Access  
Uluslararası Bilimsel Araştırmalar Dergisi (IBAD)     Open Access   (Followers: 1)
UNED Research Journal / Cuadernos de Investigación UNED     Open Access   (Followers: 1)
Uni-pluriversidad     Open Access  
Uniciencia     Open Access  
Universitas Scientiarum     Open Access  
Vilnius University Proceedings     Open Access  
Zeitschrift für Didaktik der Naturwissenschaften     Hybrid Journal  
Східно-Європейський журнал передових технологій : Eastern-European Journal of Enterprise Technologies     Open Access   (Followers: 3)

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Karaelmas Science and Engineering Journal
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2146-4987 - ISSN (Online) 2146-7277
Published by Bülent Ecevit University Homepage  [4 journals]
  • Water and Waste Management in Eco-Cities in the Context of Sustainable
           Urban Development

    • Authors: Elif Öztekin
      Abstract: Eco-cities are environmentally friendly and human-centered urban areas designed based on principles of sustainability. Concerning water management, various measures such as rainwater harvesting systems, wastewater recycling, and the use of technologies promoting water conservation are aimed at more effective utilization of water resources in eco-cities. Additionally, emphasis is placed on enhancing the quality of discharged wastewater through wastewater treatment systems and prioritizing the recovery of valuable materials from wastewater. For instance, eco-cities like Hammarby Sjöstad (Sweden) ensure more efficient use of water resources through measures like rainwater harvesting systems, wastewater recycling, and water-saving technologies.In the domain of waste management in eco-cities, besides practices like waste separation and recycling, diverse strategies are adopted to reduce the quantity of waste. Campaigns for waste reduction, utilization of recyclable materials, and composting of organic waste are pursued in eco-cities such as Vauban (Germany) to address waste issues. Concrete examples from these cities demonstrate the success of water and waste management strategies.This study highlights that the foundation of sustainable urban development lies in water and waste management practices evident in concrete examples from eco-cities. Eco-cities hold substantial potential as urban spaces not only addressing current environmental challenges but also aspiring to leave a more habitable world for future generations.
      PubDate: Mon, 29 Apr 2024 00:00:00 +030
       
  • Machine Learning-Based Recommendation System for Different Wireless
           Communications Standards Used in Smart Home Components

    • Authors: Ahmet Yazar; Ahmet Ata Şentürk, Şulenur Çörez, Olçan Satır, Burak Kosova
      Abstract: In recent years, as smart home systems have become increasingly widespread, the wireless communication infrastructure associated with these systems has gained more importance. Assessing the needs and determining the conditions under which different wireless communication standards, each with its own advantages, can be more suitable for a smart home system has become a new challenge. In this study, a machine learning-based recommendation methods have been developed for various wireless communication standards used in next-generation smart home components. Additionally, a level of ambient and environmental awareness has been utilized to enhance the information inputs for this purpose. A new artificial dataset has been created for the machine learning application. When examining the results, it can be observed that the proposed novel solution would be beneficial in smart home designs.
      PubDate: Mon, 29 Apr 2024 00:00:00 +030
       
  • Selection of Genetic Algorithm Parameters for Optimization of Storm-Sewer
           Networks Using Taguchi Method

    • Authors: Tülin Çetin; Mehmet Ali Ilgın, Mehmet Ali Yurdusev
      Abstract: Genetic algorithm is one of the most referred optimization techniques for the hydraulic optimization of stormwater and sewer system design. The genetic algorithm has different parameters affecting its performance such as population sizes, crossover methods, crossover rates, elitism rates, mutation rates and comparative values for the tournament selection algorithm. By the nature of the genetic algorithm, different values of these parameters should be tried to get the optimum values for them. But checking all possible values of these parameters that is a full factorial design is too much time consuming. Therefore, in this study, the Taguchi method is proposed for the first time in the literature to determine the most suitable parameter values of the genetic algorithm used for the hydraulic optimization of stormwater and sewage system design. The L16 Taguchi orthogonal array that involves 16 experiments was employed. Each experiment was replicated six times. Only 16x6=96 runs were carried out to determine the significance of the factors instead of running a full factorial design with 44x6=1536 runs. As a result, the cost value obtained with the Taguchi method is very close (0,15 %) to the cost value obtained with the full factorial design. Moreover, with the Taguchi method, the results are obtained in a shorter time (7 days instead of 4 months) with much fewer attempts.
      PubDate: Mon, 29 Apr 2024 00:00:00 +030
       
  • Accurate and Sensitive Determination of Mefenpyr-diethyl in Barley, Oat
           and Corn Silk Matrices by Gas Chromatography – Flame Ionization Detector
           (GC–FID)

    • Authors: Hakan Serbest
      Abstract: Pesticides are frequently utilized in the cultivation of agricultural products for human consumption to prevent / minimize the detrimental effects caused by pests and to keep the yield at the desired levels at harvest time. Besides the benefits of pesticides, unconscious use of pesticides causes the occurrence of different diseases. Monitoring the levels of pesticide residues is of vital importance for the environment, human, and other living organisms. In the present study, an analytical method was reported for the determination of mefenpyr-diethyl (MFD) as a member of the herbicide group by gas chromatography flame ionization detector (GC-FID) system with high accuracy and sensitivity. An in-column temperature program was established to effectively separate the analyte, and MFD was determined at a retention time of 5.2 min. The limit of detection (LOD), the limit of quantitation (LOQ), and the linear working range were found to be 0.01 mg/L, 0.04 mg/L, and 0.07-29.7 mg/L, respectively. The applicability of the determination method was investigated by recovery studies with barley, oat, and corn silk matrices. No analytical signal was recorded for MFD in blank samples of all three species. Recovery results close to 100% showed that MFD could be determined with high accuracy in barley, oat, and corn silk matrices.
      PubDate: Mon, 29 Apr 2024 00:00:00 +030
       
  • Antifungal effect of essential oil of Asphodelus aestivus Brot. and
           Nigella sativa L. against some fungus species

    • Authors: Alper Zöngür
      Abstract: Today, most plants are the subject of pharmaceutical studies. This study was conducted to determine the essential oil content of Asphodelus aestivus Brot. and Nigella sativa L. plants, which are frequently used in complementary medicine, and to evaluate their antifungal activity. Plant essential oils were obtained by hydrodistillation method. The components of the essential oils obtained were analyzed by Gas Chromatography-Mass Spectrometry (GC/MS). A total of 22 different components were found in the A. aestivus Brot. plant, and its essential oil was determined as pentacosane 15.19%, tricosane 14.36%, octadecatrienoic acid 19.62% and hexadecanoic acid 16.94%. Similarly, a total of 26 different components were found in N. sativa L. plant, and p-cymene was determined as 23.64% and thymoquinone was determined as 32.56% in its essential oil. Additionally, plant essential oils at different concentrations were used respectively (0.1 µL, 1 µL, 10 µL, 100 µL, 1000 µL); It has been tested on the fungal species Fusarium oxysporum, Aspergillus flavus, Rhizopus oryzae, Penicillium expansum, Alternaria solani and Aspergillus paraciticus. Antifungal activity tests of essential oils were performed by disk diffusion method and inhibition diameters were determined. As a result, different essential oil concentrations of A. aestivus Brot. and N. sativa L. were found to be effective in all species. Moreover, it was determined that high concentrations of herbal essential oils inhibited F. oxysporum species by 28.8-33.1% more and inhibited A. flavus species by 22.4-26.1% less than other species.
      PubDate: Mon, 29 Apr 2024 00:00:00 +030
       
  • The Role of Certification on Project Management: Perspective of PMP
           Certified Project Managers

    • Authors: Volkan Arslan
      Abstract: The purpose of this study is to investigate the role of certification in a project management environment from the perspective of Project Management Profession (PMP) certified project managers. To do so, a semi-structured questionnaire survey was created through a focus group discussion technique and applied to 30 PMP-certified project managers. The data obtained were analyzed via the SPSS 20 statistical package and results were presented in two sub-sections: (i) the demographic information of respondents and (ii) the specific perspective of project managers about PMP certification. Several organizations offer comprehensive and constantly updated certification programs to adapt to the changing needs of the project management profession. Thus, professionals can confirm their knowledge, abilities, and skills in the project management field. Moreover, certification is a key factor for the project management profession regarding up-to-date training offered, standardization of project management applications, and continuous development in project management performance. This paper aims to aid project managers to be aware of the potential benefits of PMP certification to improve project management capabilities as a source of competitive advantage.
      PubDate: Mon, 29 Apr 2024 00:00:00 +030
       
  • Chickpea Variety Classification Using Transfer Learning Techniques

    • Authors: İbrahim Kılıç; Nesibe Yalçın
      Abstract: Seed purity is important for improving the efficiency of agricultural production and meeting product quality standards. This requires the agricultural seed industry, from producers to distributors/sellers, to focus more on seed purity. Therefore, the need for seed variety identification and classification methods has increased. The seed variety classification of chickpeas, one of the most produced edible legumes in the world, is examined in this study. 14 pre-trained deep learning models have been used for classification and their performances have been compared to determine the most successful model(s) for the relevant problem. The most successful models, VGG16 and VGG19, have test accuracies of 96.7% and 97%, respectively. Thus, they can be important tools for ensuring more efficient, high-quality, and sustainable seed production.
      PubDate: Mon, 29 Apr 2024 00:00:00 +030
       
  • Performance analysis of ensemble machine learning methods for predicting
           survival of patients with heart failure

    • Authors: İrem Şenyer Yapıcı; Rukiye Uzun Arslan, Okan Erkaymaz
      Abstract: Heart failure is a cardiovascular disease with significant morbidity and mortality, affecting an increasing number of people worldwide. It is very difficult to predict the survival of patients diagnosed with heart failure using clinical data. In this study, an intelligent machine learning (ML)-based artificial intelligence model is designed by identifying important features and an effective ML algorithm that will improve the accuracy of survival prediction of patients diagnosed with heart failure. For this purpose, the performance of seven different ML algorithms were compared regarding the extracted features from the dataset. Synthetic minority oversampling technique (SMOTE) and two different cross-validation techniques were used to remove the imbalance in the dataset and to obtain models with more realistic accuracy. Experimental results showed that SMOTE technique significantly improve the performance of classifiers in predicting the survival rate of patients diagnosed with heart failure. In the one-out cross-validation technique, the random forest algorithm achieved 90% accuracy, while in the 10-fold cross-validation technique, the extreme gradient boosting algorithm achieved the highest performance with 93% accuracy. When the results obtained are compared with the studies conducted in the literature used similar data sets, it is found that the proposed method exhibits higher performance. The proposed method has the potential to both improve the healthcare system and be an effective method for healthcare providers in predicting the survival of patients diagnosed with heart failure. In addition, it will guide specialist physicians in planning the treatment process of patients diagnosed with heart failure.
      PubDate: Mon, 29 Apr 2024 00:00:00 +030
       
  • Development of a Digital Imaging-Based Colorimetric Analysis Method for
           the Determination of Phenolphthalein in Drinking Water

    • Authors: Nihal Yücel; Ozan Yağmuroğlu
      Abstract: In this study, a digital imaging box-based colorimetric analysis method was developed for the determination of phenolphthalein in drinking water samples. In digital imaging, a smartphone camera was used as a sensor, and an application called "Color Detector" was used as software. Firstly, an optimization study was carried out for the variables that were considered to be effective on the analysis method. For this purpose, the distance of the sample from the phone lens, the location on the sample to be measured, the scale at the measurement location and pH values were optimized. Then, analysis was carried out with samples with different concentrations between 0.5-5.0 ppm. Linearity between 1-4 mg/L was observed in the analysis results. As a result of the calculations made to determine the method performance, the limit of detection (LOD) was found to be 0.58 mg/L and the percent relative standard deviation was 0.28% (n = 8). A recovery study was carried out on a drinking water sample to evaluate the performance of the method we developed in the real sample environment. As a result of the analysis, percentage recovery values were found to be in the range of 99%-106%. These values show that our method has high performance in drinking water samples.
      PubDate: Mon, 29 Apr 2024 00:00:00 +030
       
  • Effects of Weak Signal Frequency on Multiple Stochastic Resonance Induced
           by Feedback Mechanism

    • Authors: Veli Baysal
      Abstract: The mechanism of signal perception in the nervous system is highly complex and heavily dependent on environmental factors. One of the most significant factors affecting this mechanism is the naturally emerging noise at both the micro and macro levels of the brain. Experimental and numerical studies demonstrate that the nervous system utilizes noise to optimize its information processing capacity. Maximizing the weak signal capacity of neurons at a sufficient noise level is explained with the concept of “stochastic resonance”. This study examines the effects of weak signal frequency on the stochastic resonance phenomenon triggered by ion channel noise depending on the biological functions of the feedback mechanism in Hodgkin-Huxley neurons with an electrical feedback connection. The findings indicate that the autaptic feedback mechanism significantly enhances the signal coding capacity of Hodgkin-Huxley neurons across all frequencies within the range of frequencies to which the neuron is sensitive. Also, it is observed that the subthreshold signal detection capacity of Hodgkin-Huxley neurons exhibits resonance behaviour depending on feedback coupling strength at the appropriate feedback time delays for all frequencies in this range. Furthermore, it is shown that the maximal weak signal coding performance of Hodgkin-Huxley neuron displays multiple stochastic resonance phenomena depending on the feedback time delay. These points of maximal stochastic resonance are determined by the frequency of the applied weak signal.
      PubDate: Mon, 29 Apr 2024 00:00:00 +030
       
 
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  First | 1 2        [Sort by number of followers]   [Restore default list]

  Subjects -> SCIENCES: COMPREHENSIVE WORKS (Total: 374 journals)
Showing 201 - 265 of 265 Journals sorted alphabetically
Sciential     Open Access  
Scientific African     Open Access  
Scientific American     Full-text available via subscription   (Followers: 510)
Scientific American Mind     Full-text available via subscription   (Followers: 10)
Scientific Bulletin     Open Access   (Followers: 1)
Scientific Data     Open Access   (Followers: 7)
Scientific Journal of Pure and Applied Sciences     Open Access   (Followers: 1)
Scientific Reports     Open Access   (Followers: 83)
Scientonomy : Journal for the Science of Science     Open Access   (Followers: 1)
Selforganizology     Open Access  
Simbiótica     Open Access  
Smart Science     Open Access  
South African Journal of Science     Open Access   (Followers: 2)
South American Sciences     Open Access   (Followers: 2)
South East European University Review (SEEU Review)     Open Access   (Followers: 3)
Springer Science Reviews     Hybrid Journal   (Followers: 2)
Studies in Science Education     Hybrid Journal   (Followers: 18)
Tanzania Journal of Science     Open Access   (Followers: 4)
TD : The Journal for Transdisciplinary Research in Southern Africa     Open Access  
Technologies     Open Access   (Followers: 1)
Temas y Debates     Open Access  
The Innovation     Open Access   (Followers: 8)
The Social Studies     Hybrid Journal   (Followers: 3)
Theoria     Open Access   (Followers: 3)
Transactions of Tianjin University     Full-text available via subscription  
Trilogía     Open Access  
TÜBAV Bilim Dergisi     Open Access  
Türk Bilim ve Mühendislik Dergisi     Open Access  
Uluslararası Bilimsel Araştırmalar Dergisi (IBAD)     Open Access   (Followers: 1)
UNED Research Journal / Cuadernos de Investigación UNED     Open Access   (Followers: 1)
Uni-pluriversidad     Open Access  
Uniciencia     Open Access  
Universitas Scientiarum     Open Access  
Vilnius University Proceedings     Open Access  
Zeitschrift für Didaktik der Naturwissenschaften     Hybrid Journal  
Східно-Європейський журнал передових технологій : Eastern-European Journal of Enterprise Technologies     Open Access   (Followers: 3)

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