Pub Date : 2023-06-30DOI: 10.22531/muglajsci.1252876
Uğur Bi̇nzat, Engin Yildiztepe
Histogram is a commonly used tool for visualizing data distribution. It has also been used in semi-supervised and unsupervised anomaly detection tasks. The histogram-based outlier score is a fast unsupervised anomaly detection method that has become more popular because of the rapid increase in the amount of data collected in recent decades. Histogram-based outlier score can be computed using either static or dynamic bin-width histograms. When a histogram contains large gaps, the dynamic bin-width approach is preferred over the static bin-width approach. These gaps in a histogram usually occur as a result of various distributions in real data. When working with a static bin-width histogram, gaps can be utilized to acquire better distinction between outliers and inliers. In this study, we propose an adjusted version of the histogram-based outlier score named adjusted histogram-based outlier score, which considers neighboring bins prior to density estimation. Results from a simulation study and real data application indicate that the adjusted histogram-based outlier score yields a better performance not only in the simulated data but also for various types of real data.
{"title":"THE ADJUSTED HISTOGRAM-BASED OUTLIER SCORE - AHBOS","authors":"Uğur Bi̇nzat, Engin Yildiztepe","doi":"10.22531/muglajsci.1252876","DOIUrl":"https://doi.org/10.22531/muglajsci.1252876","url":null,"abstract":"Histogram is a commonly used tool for visualizing data distribution. It has also been used in semi-supervised and unsupervised anomaly detection tasks. The histogram-based outlier score is a fast unsupervised anomaly detection method that has become more popular because of the rapid increase in the amount of data collected in recent decades. Histogram-based outlier score can be computed using either static or dynamic bin-width histograms. When a histogram contains large gaps, the dynamic bin-width approach is preferred over the static bin-width approach. These gaps in a histogram usually occur as a result of various distributions in real data. When working with a static bin-width histogram, gaps can be utilized to acquire better distinction between outliers and inliers. In this study, we propose an adjusted version of the histogram-based outlier score named adjusted histogram-based outlier score, which considers neighboring bins prior to density estimation. Results from a simulation study and real data application indicate that the adjusted histogram-based outlier score yields a better performance not only in the simulated data but also for various types of real data.","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128507794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-30DOI: 10.22531/muglajsci.1241162
T. Genç, F. Yılmaz
This study was carried out in the inland waters of Muğla Basin between 2018-2019. As a result of field studies and literature, it was determined that there were 36 species of fish belonging to 17 families (Anguillidae, Atherinidae, Cobitidae, Leuciscidae, Cyprinidae, Gobionidae, Nemacheilidae, Aphaniidae, Poeciliidae, Blenniidae, Centrarchidae, Cichlidae, Gobiidae, Moronidae, Mugilidae, Salmonidae, Siluridae). While 11 of the species in Muğla region are of marine origin, 8 of them are endemic (Cobitis dorademiri, Cobitis fahirae, Capoeta aydinensis, Luciobarbus kottelati, Vimba mirabilis, Petroleuciscus smyrnaeus, Squalius fellowesii, Ladigesocypris irideus). In addition, seven species are exotic species (Carassius auratus, Carassius gibelio, Pseudorasbora parva, Gambusia holbrooki, Lepomis gibbosus, Coptodon zilli, Oncorhynchus mykiss). Fish fauna has been studied for the first time for Akyol Creek, Mazı Creek, Maden Creek, Gökçay Creek, Yanıklar Stream, and Bayir Reservoir.
{"title":"DISTRIBUTION AND TAXONOMIC STATUS OF FRESHWATER FISHES OF MUĞLA (SOUTH-WEST TÜRKİYE): UPDATED CHECKLIST","authors":"T. Genç, F. Yılmaz","doi":"10.22531/muglajsci.1241162","DOIUrl":"https://doi.org/10.22531/muglajsci.1241162","url":null,"abstract":"This study was carried out in the inland waters of Muğla Basin between 2018-2019. As a result of field studies and literature, it was determined that there were 36 species of fish belonging to 17 families (Anguillidae, Atherinidae, Cobitidae, Leuciscidae, Cyprinidae, Gobionidae, Nemacheilidae, Aphaniidae, Poeciliidae, Blenniidae, Centrarchidae, Cichlidae, Gobiidae, Moronidae, Mugilidae, Salmonidae, Siluridae). While 11 of the species in Muğla region are of marine origin, 8 of them are endemic (Cobitis dorademiri, Cobitis fahirae, Capoeta aydinensis, Luciobarbus kottelati, Vimba mirabilis, Petroleuciscus smyrnaeus, Squalius fellowesii, Ladigesocypris irideus). In addition, seven species are exotic species (Carassius auratus, Carassius gibelio, Pseudorasbora parva, Gambusia holbrooki, Lepomis gibbosus, Coptodon zilli, Oncorhynchus mykiss). Fish fauna has been studied for the first time for Akyol Creek, Mazı Creek, Maden Creek, Gökçay Creek, Yanıklar Stream, and Bayir Reservoir.","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131923489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-30DOI: 10.22531/muglajsci.1261541
Nimet YILDIRIM TİRGİL, Yasin Fedayi̇, Zennure Açikgöz
This study developed and evaluated a nanomaterial-modified ELISA system to analyze a peptide biomarker (Human VEGF). Multiwalled carbon nanotubes (MWCNTs) were used as nanomaterial-based modifiers for the capture/detection antibodies and HRP enzyme. CNTs modifications of the ELISA method at these three different binding steps were tested and compared. The most efficient modification step was concluded depending on these works’ sensitivities, linearities, and repeatabilities. We proved that CNTs could be used successfully to enhance the performances compared to the traditional ELISA method by achieving higher sensitivities and, therefore, more confident results, especially with a 0.5 pg/ml of limit of detection value. In addition, the performances of different modification steps in the commercial serum sample and the stability of all these binding steps were evaluated, and compared with the traditional ELISA method.
{"title":"CARBON NANOTUBES MODIFIED ELISA SYSTEM DEVELOPMENT FOR IMPROVED DETECTION OF BIOMARKERS","authors":"Nimet YILDIRIM TİRGİL, Yasin Fedayi̇, Zennure Açikgöz","doi":"10.22531/muglajsci.1261541","DOIUrl":"https://doi.org/10.22531/muglajsci.1261541","url":null,"abstract":"This study developed and evaluated a nanomaterial-modified ELISA system to analyze a peptide biomarker (Human VEGF). Multiwalled carbon nanotubes (MWCNTs) were used as nanomaterial-based modifiers for the capture/detection antibodies and HRP enzyme. CNTs modifications of the ELISA method at these three different binding steps were tested and compared. The most efficient modification step was concluded depending on these works’ sensitivities, linearities, and repeatabilities. We proved that CNTs could be used successfully to enhance the performances compared to the traditional ELISA method by achieving higher sensitivities and, therefore, more confident results, especially with a 0.5 pg/ml of limit of detection value. In addition, the performances of different modification steps in the commercial serum sample and the stability of all these binding steps were evaluated, and compared with the traditional ELISA method.","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124958347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-30DOI: 10.22531/muglajsci.1295528
M. Şenay
In this study, we propose an approach to investigate the relationship between MOND theory and the holographic principle by incorporating q-deformed theory. We first present a brief overview of Verlinde's entropic gravity assumption, which suggests that gravity can be interpreted as an entropic force arising from the statistical mechanics of quantum fields. Some thermo-statistical properties of q-deformed fermion gas model in two spatial dimensions are introduced. At the low-temperature limit, we derive the q-deformed thermal energy and analyze the impacts of fermionic q-deformation on MOND theory. Specifically, we consider the q-deformed Fermi-Dirac statistics of the bits on the holographic screen and examine MOND theory depending on q-deformed acceleration scale. Deformed Friedmann equation is studied by taking into account Friedmann–Robertson–Walker (FRW) universe. This equation shows a modified identification of the evolution of the universe that is compatible with both MOND theory and the holographic principle
{"title":"BEHAVIOR OF q-DEFORMED QUANTUM PARTICLE STATISTICS ON THE HOLOGRAPHIC SCREEN","authors":"M. Şenay","doi":"10.22531/muglajsci.1295528","DOIUrl":"https://doi.org/10.22531/muglajsci.1295528","url":null,"abstract":"In this study, we propose an approach to investigate the relationship between MOND theory and the holographic principle by incorporating q-deformed theory. We first present a brief overview of Verlinde's entropic gravity assumption, which suggests that gravity can be interpreted as an entropic force arising from the statistical mechanics of quantum fields. Some thermo-statistical properties of q-deformed fermion gas model in two spatial dimensions are introduced. At the low-temperature limit, we derive the q-deformed thermal energy and analyze the impacts of fermionic q-deformation on MOND theory. Specifically, we consider the q-deformed Fermi-Dirac statistics of the bits on the holographic screen and examine MOND theory depending on q-deformed acceleration scale. Deformed Friedmann equation is studied by taking into account Friedmann–Robertson–Walker (FRW) universe. This equation shows a modified identification of the evolution of the universe that is compatible with both MOND theory and the holographic principle","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123827204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-10DOI: 10.22531/muglajsci.1249821
Ş. Güngör
Condensate harvesting is the phenomenon of obtaining water from water vapor in the humid air condensing on a surface. Water vapor undergoes phase change and becomes liquid once air is cooled to dew point temperature. The idea is a passive technique with no additional energy consumption, yet condensation performance of a surface varies with many parameters. This study analytically investigates the condensation performance of vertical, tilted, and horizontal water harvesting systems under laminar, wavy and turbulent flow regimes. First, viscous effects, inertia, and gravitational forces are examined in detail to express the evolution of boundary layer in a condensation film. Then the condensation performance of each surface orientation and tilt angles are documented and compared for all flow conditions. Although the vertical surfaces have higher condensate harvesting performance compared to the tilted and horizontal systems, the condensation rate is only about 2% lower up to 15⁰ tilt angle. When the harvesting surface is tilted at 30⁰, the condensation rate of the laminar film decreases by 3.5%, while the reduction is about 4.7% in wavy-turbulent film condensation. The results indicate that the change in condensation rate is more evident just after 45⁰ tilt. Condensation performance of laminar condensate film at 45⁰, 60⁰ and 75⁰ tilt angles decreases by 8.3%, 15.9% and 28.7%, while the condensation performance losses of wavy-turbulent flows are about 10.9%, 20.7% and 36.3% at identical tilt angles. Furthermore, 89⁰ tilted surfaces experience 63.7% and 74.1% lower condensate harvesting in laminar and wavy-turbulent regimes, respectively. In addition, identical horizontal surfaces produce only one fifth condensation rate of a vertical system.
{"title":"Analytical investigations on the condensation performance of vertical, tilted and horizontal surfaces for passive water harvesting","authors":"Ş. Güngör","doi":"10.22531/muglajsci.1249821","DOIUrl":"https://doi.org/10.22531/muglajsci.1249821","url":null,"abstract":"Condensate harvesting is the phenomenon of obtaining water from water vapor in the humid air condensing on a surface. Water vapor undergoes phase change and becomes liquid once air is cooled to dew point temperature. The idea is a passive technique with no additional energy consumption, yet condensation performance of a surface varies with many parameters. This study analytically investigates the condensation performance of vertical, tilted, and horizontal water harvesting systems under laminar, wavy and turbulent flow regimes. First, viscous effects, inertia, and gravitational forces are examined in detail to express the evolution of boundary layer in a condensation film. Then the condensation performance of each surface orientation and tilt angles are documented and compared for all flow conditions. Although the vertical surfaces have higher condensate harvesting performance compared to the tilted and horizontal systems, the condensation rate is only about 2% lower up to 15⁰ tilt angle. When the harvesting surface is tilted at 30⁰, the condensation rate of the laminar film decreases by 3.5%, while the reduction is about 4.7% in wavy-turbulent film condensation. The results indicate that the change in condensation rate is more evident just after 45⁰ tilt. Condensation performance of laminar condensate film at 45⁰, 60⁰ and 75⁰ tilt angles decreases by 8.3%, 15.9% and 28.7%, while the condensation performance losses of wavy-turbulent flows are about 10.9%, 20.7% and 36.3% at identical tilt angles. Furthermore, 89⁰ tilted surfaces experience 63.7% and 74.1% lower condensate harvesting in laminar and wavy-turbulent regimes, respectively. In addition, identical horizontal surfaces produce only one fifth condensation rate of a vertical system.","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123787969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-27DOI: 10.22531/muglajsci.1179857
Savaş Öztürk
Face validation is an informal type of validation, usually applied in the early stages of a simulation project or model development process. Face validation is used to determine the reasonableness of a model or simulation when advanced validation methods such as statistical analysis or sensitivity analysis are not applicable. In large-scale simulation projects such as warfare simulation applications, which consist of a large number and variety of models that cannot be evaluated independently and contain high levels of uncertainty, face validation should be utilized, but no standard method for face validation can be proposed. In this paper, we review the literature and practical applications of face validation. We propose a process to improve the effectiveness of face validation. The proposed process is expected to help to realize a measurable, concrete and practical face validation, especially in large-scale projects involving high-fidelity complex models and constructive simulations.
{"title":"FACE VALIDATION IN LARGE-SCALE SIMULATION PROJECTS","authors":"Savaş Öztürk","doi":"10.22531/muglajsci.1179857","DOIUrl":"https://doi.org/10.22531/muglajsci.1179857","url":null,"abstract":"Face validation is an informal type of validation, usually applied in the early stages of a simulation project or model development process. Face validation is used to determine the reasonableness of a model or simulation when advanced validation methods such as statistical analysis or sensitivity analysis are not applicable. In large-scale simulation projects such as warfare simulation applications, which consist of a large number and variety of models that cannot be evaluated independently and contain high levels of uncertainty, face validation should be utilized, but no standard method for face validation can be proposed. In this paper, we review the literature and practical applications of face validation. We propose a process to improve the effectiveness of face validation. The proposed process is expected to help to realize a measurable, concrete and practical face validation, especially in large-scale projects involving high-fidelity complex models and constructive simulations.","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125351059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-23DOI: 10.22531/muglajsci.1218915
Gulsum Akkuzukaya
The utilization of biometric products is an expanding landscape; from general consumers employing it for authenticating into their devices to governments deploying it at the forefront of crime and border control. One sizeable organization required an expansion in their offering within the industryThis study aims to develop a facial matching solution that offers high performance and meets the requirements of the organization’s biometric Subject Matter Experts in order to meet the current gap in the offering. A facial recognition approach known as FaceNet was utilized along with the GO language and MongoDB to produce an application capable of performing enrolments and matches against a persistent set of candidates. This solution was validated against the labeled Faces in the Wild dataset, a challenging set of facial biometric data in function, performance, and accuracy testing. For a subset of 6000 images from the dataset, a 100 % accuracy was recorded from multiple test runs demonstrating no false matches. The application's performance against this subset was averaged over multiple executions using two concurrent connections, which concluded an average enroll response time of 70ms and 236ms for match requests giving transactions per second values of 29 and 8 respectively.
{"title":"HIGH PERFORMANCE FACIAL RECOGNITION MATCHER","authors":"Gulsum Akkuzukaya","doi":"10.22531/muglajsci.1218915","DOIUrl":"https://doi.org/10.22531/muglajsci.1218915","url":null,"abstract":"The utilization of biometric products is an expanding landscape; from general consumers employing it for authenticating into their devices to governments deploying it at the forefront of crime and border control. One sizeable organization required an expansion in their offering within the industryThis study aims to develop a facial matching solution that offers high performance and meets the requirements of the organization’s biometric Subject Matter Experts in order to meet the current gap in the offering. A facial recognition approach known as FaceNet was utilized along with the GO language and MongoDB to produce an application capable of performing enrolments and matches against a persistent set of candidates. This solution was validated against the labeled Faces in the Wild dataset, a challenging set of facial biometric data in function, performance, and accuracy testing. For a subset of 6000 images from the dataset, a 100 % accuracy was recorded from multiple test runs demonstrating no false matches. The application's performance against this subset was averaged over multiple executions using two concurrent connections, which concluded an average enroll response time of 70ms and 236ms for match requests giving transactions per second values of 29 and 8 respectively.","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124810290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-18DOI: 10.22531/muglajsci.1244322
Ercüment Güvenç, Mevlüt Ersoy, Gürcan Çetin
Brain tumors are among the illnesses that, if not treated promptly, can lead to death. It is extremely difficult to detect tumor tissue using only eye examination methods. As a result, Magnetic Resonance (MR) imaging is used to diagnose brain tumors. T1, T1c, T2, and FLAIR MRI sequences provide detailed information about brain tumors. If the segmentation procedure is performed correctly, patients' chances of survival improve. This paper describes an automated brain tumor segmentation for FLAIR sequences in MR images using U-NeT method. The study has been carried out on the BraTS 2018 data set. The models' correctness has been assessed using the binary accuracy, dice coefficient, and IOU assessment criteria. The results of the comparison between the tumor regions identified by the expert physicians and the tumor regions calculated by the U-Net model are as follows: The model has been completed with 99.26% accuracy, and the dice coefficient value, which expresses the similarity on the basis of pixels for the test data, has been found to be 73.99%. Furthermore, the IOU value of 0.59 demonstrated that the model provided accurate estimates for the study.
{"title":"BRAIN TUMOR SEGMENTATION ON FLAIR MR IMAGES WITH U-NET","authors":"Ercüment Güvenç, Mevlüt Ersoy, Gürcan Çetin","doi":"10.22531/muglajsci.1244322","DOIUrl":"https://doi.org/10.22531/muglajsci.1244322","url":null,"abstract":"Brain tumors are among the illnesses that, if not treated promptly, can lead to death. It is extremely difficult to detect tumor tissue using only eye examination methods. As a result, Magnetic Resonance (MR) imaging is used to diagnose brain tumors. T1, T1c, T2, and FLAIR MRI sequences provide detailed information about brain tumors. If the segmentation procedure is performed correctly, patients' chances of survival improve. This paper describes an automated brain tumor segmentation for FLAIR sequences in MR images using U-NeT method. The study has been carried out on the BraTS 2018 data set. The models' correctness has been assessed using the binary accuracy, dice coefficient, and IOU assessment criteria. The results of the comparison between the tumor regions identified by the expert physicians and the tumor regions calculated by the U-Net model are as follows: The model has been completed with 99.26% accuracy, and the dice coefficient value, which expresses the similarity on the basis of pixels for the test data, has been found to be 73.99%. Furthermore, the IOU value of 0.59 demonstrated that the model provided accurate estimates for the study.","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"149 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115584823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-14DOI: 10.22531/muglajsci.1239877
Ali Aluç, İ. Kuşçu, R. Moritz
The Kirazlı mineral district is located at the center of the Biga peninsula metallogenic province, in a geological setting characterized by an extensional tectonic environment. The district hosts a high-sulfidation (HS) ore body with a total reserve of 33.86 Mt @ 0.69 g/t Au and 9.42 g/t Ag within a large-scale hydrothermal alteration. Although the ideal magmatic-hydrothermal models present the spatial and temporal association of HS-epithermal and porphyry Cu deposits, the porphyry Cu potential at the Kirazlı has not been evaluated, yet. Therefore, the mineral-based alteration mapping with the help of SWIR reflectance spectroscopy was carried out. Our study demonstrates that nine different mineral zone have been distinguished and mapped: (1) Silicification, (2) Alunite, (3) Kaolinite, (4) Dickite, (5) Illite, (6) Pyrophyllite, (7) Chlorite, (8) Sericite, and (9) Montmorillonite zones. Collectively, these alterations exhibit a zoned pattern, from central massive silicification to residual silica, NW-SE oriented alunite, and marginal montmorillonite-illite zones within widespread kaolinite – dickite dominated alteration in Kirazlı main zone. The occurrence of pyrophyllite and sericite dominates at the SE of the Kirazlı district, which refers to relative temperature increase. Subsequent drilling confirms the potential for deep prospecting of porphyry Cu mineralization in the region.
基拉兹利亚矿区位于比嘎半岛成矿省的中心，地质背景为伸展构造环境。区内赋存高硫化(HS)矿体，总储量为33.86 Mt, Au 0.69 g/t, Ag 9.42 g/t，属于大规模热液蚀变。虽然理想的岩浆-热液模式反映了高温-浅成热液与斑岩型铜矿床的时空关联，但目前还没有对基拉兹利亚斑岩型铜矿的潜力进行评价。为此，利用SWIR反射光谱技术进行了基于矿物的蚀变填图。研究表明，该区已划分出9个不同的矿物带，分别为:(1)硅化带，(2)明矾石带，(3)高岭石带，(4)迪基石带，(5)伊利石带，(6)叶蜡石带，(7)绿泥石带，(8)绢云母带，(9)蒙脱石带。总的来说，这些蚀变呈现出带状模式，从中心块状硅化到残余二氧化硅，北西-东南向明矾岩，以及在基拉兹利尔主带广泛的高岭石-迪基石为主的蚀变中边缘蒙脱石-伊利石带。基拉兹利尔地区东南部以叶蜡石和绢云母为主，说明温度相对升高。后续钻探证实该区斑岩型铜成矿具有深部找矿潜力。
{"title":"Identifying potential porphyry Cu mineralization at the Kirazlı district in Biga Peninsula (NW Turkey): Insights from the mapping hydrothermal alteration by using shortwave infrared (SWIR) spectrometry","authors":"Ali Aluç, İ. Kuşçu, R. Moritz","doi":"10.22531/muglajsci.1239877","DOIUrl":"https://doi.org/10.22531/muglajsci.1239877","url":null,"abstract":"The Kirazlı mineral district is located at the center of the Biga peninsula metallogenic province, in a geological setting characterized by an extensional tectonic environment. The district hosts a high-sulfidation (HS) ore body with a total reserve of 33.86 Mt @ 0.69 g/t Au and 9.42 g/t Ag within a large-scale hydrothermal alteration. Although the ideal magmatic-hydrothermal models present the spatial and temporal association of HS-epithermal and porphyry Cu deposits, the porphyry Cu potential at the Kirazlı has not been evaluated, yet. Therefore, the mineral-based alteration mapping with the help of SWIR reflectance spectroscopy was carried out. Our study demonstrates that nine different mineral zone have been distinguished and mapped: (1) Silicification, (2) Alunite, (3) Kaolinite, (4) Dickite, (5) Illite, (6) Pyrophyllite, (7) Chlorite, (8) Sericite, and (9) Montmorillonite zones. Collectively, these alterations exhibit a zoned pattern, from central massive silicification to residual silica, NW-SE oriented alunite, and marginal montmorillonite-illite zones within widespread kaolinite – dickite dominated alteration in Kirazlı main zone. The occurrence of pyrophyllite and sericite dominates at the SE of the Kirazlı district, which refers to relative temperature increase. Subsequent drilling confirms the potential for deep prospecting of porphyry Cu mineralization in the region.","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128975276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-22DOI: 10.22531/muglajsci.1201726
Sümeyye Kaynak, Baran Kaynak, Ahmet Özmen
The basic outputs of universities can be listed as education, research-development and service to society. Managerial software systems at universities generate large amount of open data during daily operations. The data generated by these systems contain valuable public institutional performance information along with critical private information. These public data can be classified, collected and processed by using big data approaches for performance monitoring. In this study, an open data platform is modelled, and issues are discussed related how open data is collected, stored and processed using big data approaches to extract interested performance information. It is shown that institutional performance information can be presented according to a wide variety of metrics from the collected data. Scientific studies that can be carried out in higher education using big data are examined under 4 headings: Creating an open data directive for universities, development of open data platform, institutional accreditation service, creating a digital twin. This platform can be used for online institutional evaluation either by university management or accreditation agencies.
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