Pub Date : 2022-09-23DOI: 10.22531/muglajsci.1128319
Ceren Ünal, Gamze Özel
Literatürde Alzaatreh ve diğerleri [10] çalışmalarında genelleştirilmiş Weibull-X dağılım ailesini önermişlerdir. Önerilen dağılımdan yararlanarak, bu çalışmada yeni bir Weibull-Lindley (NWL) dağılımı geliştirilmiştir. Olasılık yoğunluk, dağılım, yaşam, hazard ve kantil fonksiyonları, mod, medyan, Shannon entropisi, çarpıklık ve basıklık katsayıları, sıralı istatistikleri gibi birçok matematiksel özellik de elde edilmiştir. Maksimum olabilirlik yöntemine göre parametre tahmini yapılmıştır. Uygulama kısmında gerçek veri setlerini kullanılmış ve elde edilen sonuçlara göre, önerilen NWL dağılımımız Akash, Lindley, New Weibull-F, iki parametreli Lindley (TPL) ve Weibull-Lindley (WL) dağılımları ile karşılaştırıldığında daha üstün olduğu sonucuna ulaşılmıştır.
{"title":"YAŞAM VERİLERİNİN MODELLENMESİ İÇİN YENİ WEIBULL-LINDLEY DAĞILIMI","authors":"Ceren Ünal, Gamze Özel","doi":"10.22531/muglajsci.1128319","DOIUrl":"https://doi.org/10.22531/muglajsci.1128319","url":null,"abstract":"Literatürde Alzaatreh ve diğerleri [10] çalışmalarında genelleştirilmiş Weibull-X dağılım ailesini önermişlerdir. Önerilen dağılımdan yararlanarak, bu çalışmada yeni bir Weibull-Lindley (NWL) dağılımı geliştirilmiştir. Olasılık yoğunluk, dağılım, yaşam, hazard ve kantil fonksiyonları, mod, medyan, Shannon entropisi, çarpıklık ve basıklık katsayıları, sıralı istatistikleri gibi birçok matematiksel özellik de elde edilmiştir. Maksimum olabilirlik yöntemine göre parametre tahmini yapılmıştır. Uygulama kısmında gerçek veri setlerini kullanılmış ve elde edilen sonuçlara göre, önerilen NWL dağılımımız Akash, Lindley, New Weibull-F, iki parametreli Lindley (TPL) ve Weibull-Lindley (WL) dağılımları ile karşılaştırıldığında daha üstün olduğu sonucuna ulaşılmıştır.","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"736 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129455107","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 : 2022-09-23DOI: 10.22531/muglajsci.1158599
Feride Tuğrul
In this study, a decision making mechanism for personnel selection was created by using the intuitionistic fuzzy based TOPSIS method, which is one of the multi-criteria decision making methods. According to the criteria determined by the decision makers, each candidate was evaluated individually by the decision makers and the most suitable personnel were selected. During the evaluation, the decision makers expressed their views through linguistic terms. Thanks to the intuitionistic fuzzy sets, situations where decision makers are undecided have become meaningful. This decision making mechanism prepared for personnel selection may be utilized by any company that will select personnel and the criteria may be changed in accordance with the purpose of the company. This study, which will attract the attention of many researchers in the field of decision making, will shed light on demanded application areas.
{"title":"PERSONNEL SELECTION UTILIZING THE DECISION MAKING MECHANISM CREATED WITH THE INTUITIONISTIC FUZZY TOPSIS METHOD","authors":"Feride Tuğrul","doi":"10.22531/muglajsci.1158599","DOIUrl":"https://doi.org/10.22531/muglajsci.1158599","url":null,"abstract":"In this study, a decision making mechanism for personnel selection was created by using the intuitionistic fuzzy based TOPSIS method, which is one of the multi-criteria decision making methods. According to the criteria determined by the decision makers, each candidate was evaluated individually by the decision makers and the most suitable personnel were selected. During the evaluation, the decision makers expressed their views through linguistic terms. Thanks to the intuitionistic fuzzy sets, situations where decision makers are undecided have become meaningful. This decision making mechanism prepared for personnel selection may be utilized by any company that will select personnel and the criteria may be changed in accordance with the purpose of the company. This study, which will attract the attention of many researchers in the field of decision making, will shed light on demanded application areas.","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129330871","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 : 2022-08-14DOI: 10.22531/muglajsci.1108397
Selahattin Aksoy, B. Kılıç, T. Süzek
Among skeletal deformities, Class III is the one that best time for the treatment is the pre-adolescent growth period. Diagnosis and treatment in this period continue to be a complex orthodontic problem. Class III malocclusion is especially difficult to treat with braces frequently requiring surgical intervention after pubertal growth spurt. In addition, delayed recognition of the problem will yield to significant functional, aesthetic and psychological concerns. In this study, we proposed a comparative analysis of three predictive models to predict Class III malocclusion: deep learning algorithm, machine learning algorithm and a rule-based algorithm. For this analysis, we collected a novel profile image data set along with their formal diagnosis from 435 orthodontics patients. The most successful method among the three was the machine learning method with an accuracy of %76.
{"title":"Comparative Analysis of Deep Learning and Machine Learning Models for Early Prediction of Skeleton Class III Malocclusion from Profile Photos","authors":"Selahattin Aksoy, B. Kılıç, T. Süzek","doi":"10.22531/muglajsci.1108397","DOIUrl":"https://doi.org/10.22531/muglajsci.1108397","url":null,"abstract":"Among skeletal deformities, Class III is the one that best time for the treatment is the pre-adolescent growth period. Diagnosis and treatment in this period continue to be a complex orthodontic problem. Class III malocclusion is especially difficult to treat with braces frequently requiring surgical intervention after pubertal growth spurt. In addition, delayed recognition of the problem will yield to significant functional, aesthetic and psychological concerns. \u0000In this study, we proposed a comparative analysis of three predictive models to predict Class III malocclusion: deep learning algorithm, machine learning algorithm and a rule-based algorithm. For this analysis, we collected a novel profile image data set along with their formal diagnosis from 435 orthodontics patients. The most successful method among the three was the machine learning method with an accuracy of %76.","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134456818","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 : 2022-08-07DOI: 10.22531/muglajsci.1109115
Emel Alaybeyoğlu, K. Duran, A. Körlü
In recent years, studies have focused on the development of fire retardant products that are produced without the use of flame retardants with toxic effects and do not have harmful effects on humans and the environment. In this work, it has been compared the flame retardant properties of some biodegradable fibers obtained from different sources. It is important to investigate the performance of textile surfaces obtained from renewable fibers for flame retardant products and to improve their usage possibilities. The fire retardancy properties of knitted fabrics containing PLA, cotton, lyocell, and chitosan fibers were studied by analyzing the LOI values and burning behaviors. Single jersey knitted fabrics composed of 100% PLA, 100% Lyocell, 95% PLA 5% Chitosan, 95% Cotton 5% Chitosan, 95% Lyocell 5%Chitosan, 80%PLA 15%Cotton 5%Chitosan, 80%PLA 15%Lyocell 5%Chitosan were produced. The flame speed of each material was determined and differences in the flammability behaviors of the fabrics were identified. The lowest flammability occurred for the fabric 95% PLA and 5% Chitosan. The highest flammability was for 100% Lyocell knitted fabric. Knitted textile structures were evaluated for their flammability using the standard fire test ISO 6941. Also, the limiting oxygen index (LOI) of knitted fabrics under ASTM: D2863 was evaluated.
{"title":"Flammability Behaviours of Knitted Fabrics Containing PLA, Cotton, Lyocell, Chitosan Fibers","authors":"Emel Alaybeyoğlu, K. Duran, A. Körlü","doi":"10.22531/muglajsci.1109115","DOIUrl":"https://doi.org/10.22531/muglajsci.1109115","url":null,"abstract":"In recent years, studies have focused on the development of fire retardant products that are produced without the use of flame retardants with toxic effects and do not have harmful effects on humans and the environment. In this work, it has been compared the flame retardant properties of some biodegradable fibers obtained from different sources. It is important to investigate the performance of textile surfaces obtained from renewable fibers for flame retardant products and to improve their usage possibilities. The fire retardancy properties of knitted fabrics containing PLA, cotton, lyocell, and chitosan fibers were studied by analyzing the LOI values and burning behaviors. Single jersey knitted fabrics composed of 100% PLA, 100% Lyocell, 95% PLA 5% Chitosan, 95% Cotton 5% Chitosan, 95% Lyocell 5%Chitosan, 80%PLA 15%Cotton 5%Chitosan, 80%PLA 15%Lyocell 5%Chitosan were produced. \u0000The flame speed of each material was determined and differences in the flammability behaviors of the fabrics were identified. The lowest flammability occurred for the fabric 95% PLA and 5% Chitosan. The highest flammability was for 100% Lyocell knitted fabric. Knitted textile structures were evaluated for their flammability using the standard fire test ISO 6941. Also, the limiting oxygen index (LOI) of knitted fabrics under ASTM: D2863 was evaluated.","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132278221","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 : 2022-06-27DOI: 10.22531/muglajsci.1115724
Muhammet Atasoy, D. Yildiz
Mushrooms are a popular food because they are an important source of essential amino acids, proteins and dietary fibers, but they have a great capacity to accumulate metals from substrate. Due to this reason, the content of 5 trace metals (Fe, Cr, Zn, Pb, Se) of fruit bodies of 21 fungi species originally found in Azdavay, Kastamonu Region, Turkey were analyzed by atomic absorption spectroscopy. The contents of investigated trace metals in mushroom samples were found to be in the range of 4.6–3478.7 mg kg-1 for Fe, 5.1–19.9 mg kg-1 for Cr, 10.4–138.6 mg kg-1 for Zn, 5.8–28.0 mg kg-1 for Pb and 0.65–1.47 mg kg-1 for Se.The relative standard deviations (R.S.D.) were found below 10%. The accuracy of procedure was confirmed by CRMs (BCR 191 Brown bread, ERM-BD 151 Skimmed milk powder)
{"title":"EVALUATION OF TRACE METAL CONTENTS IN MUSHROOM SAMPLES FROM AZDAVAY DISTRICT, KASTAMONU, TURKEY","authors":"Muhammet Atasoy, D. Yildiz","doi":"10.22531/muglajsci.1115724","DOIUrl":"https://doi.org/10.22531/muglajsci.1115724","url":null,"abstract":"Mushrooms are a popular food because they are an important source of essential amino acids, proteins and dietary fibers, but they have a great capacity to accumulate metals from substrate. Due to this reason, the content of 5 trace metals (Fe, Cr, Zn, Pb, Se) of fruit bodies of 21 fungi species originally found in Azdavay, Kastamonu Region, Turkey were analyzed by atomic absorption spectroscopy. The contents of investigated trace metals in mushroom samples were found to be in the range of 4.6–3478.7 mg kg-1 for Fe, 5.1–19.9 mg kg-1 for Cr, 10.4–138.6 mg kg-1 for Zn, 5.8–28.0 mg kg-1 for Pb and 0.65–1.47 mg kg-1 for Se.The relative standard deviations (R.S.D.) were found below 10%. The accuracy of procedure was confirmed by CRMs (BCR 191 Brown bread, ERM-BD 151 Skimmed milk powder)","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122235356","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 : 2022-06-16DOI: 10.22531/muglajsci.1075788
Aslı Bay, Anıl Kayan
In many crucial real-world applications, parties must jointly perform some secure multi-party computation (MPC) while keeping their inputs hidden from other parties. Private Set Intersection (PSI), the specific area of Multi-Party Computation, let the parties learn the intersection of their private data sets without sharing their secret data with others. For instance, a smartphone user downloads a messaging application, naturally, he wants to discover who are the other contacts that are using the same application. The naive and insecure solution is to send all contacts to the server to discover them. However, the user does not want to share his contacts with the application for privacy issues. To handle this, in recent years, companies and organizations start to use PSI to enhance privacy and security with a little cost of communication and computation. In this paper, we introduce a novel method to compute Private Set Intersection with multi parties where there are at least three or more parties participate in the protocol. By employing Zero Secret-Sharing and Oblivious Pseudo-Random Functions, parties securely calculate the intersection with computational and communication complexities which are both linear in the number of parties.
在许多关键的现实世界应用程序中，各方必须联合执行一些安全的多方计算(MPC)，同时对其他各方隐藏其输入。私有集交集(Private Set Intersection, PSI)是多方计算的一个特定领域，它允许各方在不与他人共享其秘密数据的情况下了解其私有数据集的交集。例如，智能手机用户下载了一个消息传递应用程序，很自然地，他想知道谁是使用同一应用程序的其他联系人。幼稚且不安全的解决方案是将所有联系人发送到服务器以发现他们。但是，出于隐私问题，用户不希望与应用程序共享他的联系人。为了解决这个问题，近年来，公司和组织开始使用PSI来增强隐私和安全性，同时减少通信和计算成本。本文提出了一种计算至少有三个或更多参与方的多参与方私有集交集的新方法。通过使用零秘密共享和遗忘伪随机函数，各方安全地计算出具有计算和通信复杂性的交点，这些交点在各方数量上都是线性的。
{"title":"A new Multi-Party Private Set Intersection Protocol based on OPRFs","authors":"Aslı Bay, Anıl Kayan","doi":"10.22531/muglajsci.1075788","DOIUrl":"https://doi.org/10.22531/muglajsci.1075788","url":null,"abstract":"In many crucial real-world applications, parties must jointly perform some secure multi-party computation (MPC) while keeping their inputs hidden from other parties. Private Set Intersection (PSI), the specific area of Multi-Party Computation, let the parties learn the intersection of their private data sets without sharing their secret data with others. For instance, a smartphone user downloads a messaging application, naturally, he wants to discover who are the other contacts that are using the same application. The naive and insecure solution is to send all contacts to the server to discover them. However, the user does not want to share his contacts with the application for privacy issues. To handle this, in recent years, companies and organizations start to use PSI to enhance privacy and security with a little cost of communication and computation. In this paper, we introduce a novel method to compute Private Set Intersection with multi parties where there are at least three or more parties participate in the protocol. By employing Zero Secret-Sharing and Oblivious Pseudo-Random Functions, parties securely calculate the intersection with computational and communication complexities which are both linear in the number of parties.","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131605824","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 : 2022-06-15DOI: 10.22531/muglajsci.1001878
A. Yozukmaz, M. Yabanlı
The aquaculture of European sea bass and Gilthead sea bream has increased significantly in Turkey, especially as they are exported mostly to the EU countries. The purpose of this study is to calculate inorganic arsenic (iAs) levels through the determination of total arsenic amounts (AsT) in muscle tissues of European sea bass (Dicentrarchus labrax L., 1758) cultured in cages at sea and earthen ponds and wild sea bass caught from the coast of Mugla, Turkey. This study also presents a risk assessment of European sea bass consumption in terms of consumer health. For this aim, muscle tissues of fish were mineralized with microwave digestion and total arsenic concentrations were detected with the method of inductively coupled plasma mass spectroscopy (ICP-MS). It is found that the highest level of mean arsenic is detected in sea bass cultured in earthen ponds (0.38 mg kg-1) and the amount of mean arsenic is measured as 0.26 mg kg-1 in sea bass cultured off-shore and wild sea bass. It is revaled that there is not any negative outcome for human health as a result of risk assessments based on estimated daily intake (EDI), target hazard quotient (THQ), carcinogenic risk (CR) and lifetime cancer risk (TR).
{"title":"POTENTIAL HEALTH RISK ASSESSMENT IN TERMS OF ARSENIC CONTAMINATION RELATED TO THE CONSUMPTION OF COMMERCIALLY IMPORTANT EUROPEAN SEA BASS (Dicentrarchus labrax L., 1758)","authors":"A. Yozukmaz, M. Yabanlı","doi":"10.22531/muglajsci.1001878","DOIUrl":"https://doi.org/10.22531/muglajsci.1001878","url":null,"abstract":"The aquaculture of European sea bass and Gilthead sea bream has increased significantly in Turkey, especially as they are exported mostly to the EU countries. The purpose of this study is to calculate inorganic arsenic (iAs) levels through the determination of total arsenic amounts (AsT) in muscle tissues of European sea bass (Dicentrarchus labrax L., 1758) cultured in cages at sea and earthen ponds and wild sea bass caught from the coast of Mugla, Turkey. This study also presents a risk assessment of European sea bass consumption in terms of consumer health. For this aim, muscle tissues of fish were mineralized with microwave digestion and total arsenic concentrations were detected with the method of inductively coupled plasma mass spectroscopy (ICP-MS). It is found that the highest level of mean arsenic is detected in sea bass cultured in earthen ponds (0.38 mg kg-1) and the amount of mean arsenic is measured as 0.26 mg kg-1 in sea bass cultured off-shore and wild sea bass. It is revaled that there is not any negative outcome for human health as a result of risk assessments based on estimated daily intake (EDI), target hazard quotient (THQ), carcinogenic risk (CR) and lifetime cancer risk (TR).","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132522947","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 : 2022-05-28DOI: 10.22531/muglajsci.1087581
Tuba Baygar, N. Saraç, A. Uğur
Metallic nanoparticles are interesting areas of research due to their unique properties which can be advantageous for producing smart products. Silver nanoparticles (AgNPs) are remarkably used in pharmaceutical industry because of their strong biological activities. The aim of the present study was to investigate the cytotoxicity and wound healing capacity of the biologically prepared silver nanoparticles via green synthesis route. Cytotoxicity of the biogenic AgNPs was determined by MTT (3- [4, 5- dimethyl-2-thiazolyl]-2, 5-diphenyl-2H-tetrazolium-bromide) assay against L929 fibroblast cell line. Wound healing properties of the AgNPs were evaluated using in vitro-scratch wound healing assay using 3T3 fibroblast cell line. Biosynthesized AgNPs inhibited the propagation of fibroblasts at a half maximal inhibitory concentration (IC50) of 23.507 μg/mL after 24 h incubation. In vitro wound healing assay also revealed that the biogenic AgNPs stimulated the 3T3 fibroblasts' cell proliferation. It can be suggested that biologically synthesized AgNPs can be used effectively for biomedical applications such as wound dressing materials.
{"title":"BİYOLOJİK OLARAK SENTEZLENMİŞ GÜMÜŞ NANOPARTİKÜLLERİN SİTOTOKSİSİTESİ VE YARA İYİLEŞTİRME KAPASİTESİ","authors":"Tuba Baygar, N. Saraç, A. Uğur","doi":"10.22531/muglajsci.1087581","DOIUrl":"https://doi.org/10.22531/muglajsci.1087581","url":null,"abstract":"Metallic nanoparticles are interesting areas of research due to their unique properties which can be advantageous for producing smart products. Silver nanoparticles (AgNPs) are remarkably used in pharmaceutical industry because of their strong biological activities. The aim of the present study was to investigate the cytotoxicity and wound healing capacity of the biologically prepared silver nanoparticles via green synthesis route. Cytotoxicity of the biogenic AgNPs was determined by MTT (3- [4, 5- dimethyl-2-thiazolyl]-2, 5-diphenyl-2H-tetrazolium-bromide) assay against L929 fibroblast cell line. Wound healing properties of the AgNPs were evaluated using in vitro-scratch wound healing assay using 3T3 fibroblast cell line. Biosynthesized AgNPs inhibited the propagation of fibroblasts at a half maximal inhibitory concentration (IC50) of 23.507 μg/mL after 24 h incubation. In vitro wound healing assay also revealed that the biogenic AgNPs stimulated the 3T3 fibroblasts' cell proliferation. It can be suggested that biologically synthesized AgNPs can be used effectively for biomedical applications such as wound dressing materials.","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134200327","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 : 2022-05-09DOI: 10.22531/muglajsci.1079542
H. Şenol
{"title":"Investigation of the Shadow Effect of Urbanization on Green Areas with Shadow Impact Analysis","authors":"H. Şenol","doi":"10.22531/muglajsci.1079542","DOIUrl":"https://doi.org/10.22531/muglajsci.1079542","url":null,"abstract":"","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125192665","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 : 2022-05-09DOI: 10.22531/muglajsci.1028299
Dahiru Tanko, T. Tuncer, S. Dogan, Erhan Akbal
{"title":"Regression Methods for Social Media Data Analysis","authors":"Dahiru Tanko, T. Tuncer, S. Dogan, Erhan Akbal","doi":"10.22531/muglajsci.1028299","DOIUrl":"https://doi.org/10.22531/muglajsci.1028299","url":null,"abstract":"","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116757852","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}
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