Radwan M. Aljuhashy, Basim A. R. Al-Bakri, Ahmed Aag. Alrubaiy
In this study, three types of aerofoils were examined at various angles of attack and at a steady value then fluctuated of air flow. Then, the findings were compared to the XFOIL prediction results. The experimental and simulation results were consistent to some extent with the XFOIL prediction results. The shape of the chosen aerofoils was modified by making a slot through the blade the aerofoil and studying their effect on the aerodynamics of the modified shape. The slotted aerofoil shape was studied as it faced a fluctuated wind flow. The results revealed that the increase in angles of attack, the lift force increased and approximated its maximum value and then began to decrease with the slot. During the calculations, a case study for the number of elements was done to obtain the best mesh. The experimental and simulations were conducted by using ANSYS CFD at Reynolds number 10 6 and AOA equals (0°, 4°, 8°, 10°, 12°, 15°, 16°, 17°, 18°) for three shapes of aerofoils which are without a slot, two of which are symmetrical, NACA 0012 and NACA 0015, and one asymmetrical, which is NACA 4415. The slotted aerofoil (existence of an opening after 40% from the leading edge) which is the NACA 0015 aerofoil, was simulated.
{"title":"Evaluating the effect of unsteady air flow on a slotted aerofoil of wind turbines","authors":"Radwan M. Aljuhashy, Basim A. R. Al-Bakri, Ahmed Aag. Alrubaiy","doi":"10.21533/pen.v11i2.3516","DOIUrl":"https://doi.org/10.21533/pen.v11i2.3516","url":null,"abstract":"In this study, three types of aerofoils were examined at various angles of attack and at a steady value then fluctuated of air flow. Then, the findings were compared to the XFOIL prediction results. The experimental and simulation results were consistent to some extent with the XFOIL prediction results. The shape of the chosen aerofoils was modified by making a slot through the blade the aerofoil and studying their effect on the aerodynamics of the modified shape. The slotted aerofoil shape was studied as it faced a fluctuated wind flow. The results revealed that the increase in angles of attack, the lift force increased and approximated its maximum value and then began to decrease with the slot. During the calculations, a case study for the number of elements was done to obtain the best mesh. The experimental and simulations were conducted by using ANSYS CFD at Reynolds number 10 6 and AOA equals (0°, 4°, 8°, 10°, 12°, 15°, 16°, 17°, 18°) for three shapes of aerofoils which are without a slot, two of which are symmetrical, NACA 0012 and NACA 0015, and one asymmetrical, which is NACA 4415. The slotted aerofoil (existence of an opening after 40% from the leading edge) which is the NACA 0015 aerofoil, was simulated.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41983148","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}
Ali Abbas Al-Shammary, Nizar Zaghden, Med Salim Bouhlel
Image annotation has gotten a lot of attention recently because of how quickly picture data has expanded. Together with image analysis and interpretation, image annotation, which may semantically describe images, has a variety of uses in allied industries including urban planning engineering. Even without big data and image identification technologies, it is challenging to manually analyze a diverse variety of photos. The improvements to the Automated Image Annotation (AIA) label system have been the subject of several scholarly research. The authors will discuss how to use image databases and the AIA system in this essay. The proposed method extracts image features from photos using an improved VGG-19, and then uses nearby features to automatically forecast picture labels. The proposed study accounts for both correlations between labels and images as well as correlations within images. The number of labels is also estimated using a label quantity prediction (LQP) model, which improves label prediction precision. The suggested method addresses automatic annotation methodologies for pixel-level images of unusual things while incorporating supervisory information via interactive spherical skins. The genuine things that were converted into metadata and identified as being connected to pre-existing categories were categorized by the authors using a deep learning approach called a conventional neural network (CNN) - supervised. Certain object monitoring systems strive for a high item detection rate (true-positive), followed by a low availability rate (false-positive). The authors created a KD-tree based on k-nearest neighbors (KNN) to speed up annotating. In order to take into account for the collected image backdrop. The proposed method transforms the conventional two-class object detection problem into a multi-class classification problem, breaking the separated and identical distribution estimations on machine learning methodologies. It is also simple to use because it only requires pixel information and ignores any other supporting elements from various color schemes. The following factors are taken into consideration while comparing the five different AIA approaches: main idea, significant contribution, computational framework, computing speed, and annotation accuracy. A set of publicly accessible photos that serve as standards for assessing AIA methods is also provided, along with a brief description of the four common assessment signs.
{"title":"Automatic image annotation system using deep learning method to analyse ambiguous images","authors":"Ali Abbas Al-Shammary, Nizar Zaghden, Med Salim Bouhlel","doi":"10.21533/pen.v11i2.3517","DOIUrl":"https://doi.org/10.21533/pen.v11i2.3517","url":null,"abstract":"Image annotation has gotten a lot of attention recently because of how quickly picture data has expanded. Together with image analysis and interpretation, image annotation, which may semantically describe images, has a variety of uses in allied industries including urban planning engineering. Even without big data and image identification technologies, it is challenging to manually analyze a diverse variety of photos. The improvements to the Automated Image Annotation (AIA) label system have been the subject of several scholarly research. The authors will discuss how to use image databases and the AIA system in this essay. The proposed method extracts image features from photos using an improved VGG-19, and then uses nearby features to automatically forecast picture labels. The proposed study accounts for both correlations between labels and images as well as correlations within images. The number of labels is also estimated using a label quantity prediction (LQP) model, which improves label prediction precision. The suggested method addresses automatic annotation methodologies for pixel-level images of unusual things while incorporating supervisory information via interactive spherical skins. The genuine things that were converted into metadata and identified as being connected to pre-existing categories were categorized by the authors using a deep learning approach called a conventional neural network (CNN) - supervised. Certain object monitoring systems strive for a high item detection rate (true-positive), followed by a low availability rate (false-positive). The authors created a KD-tree based on k-nearest neighbors (KNN) to speed up annotating. In order to take into account for the collected image backdrop. The proposed method transforms the conventional two-class object detection problem into a multi-class classification problem, breaking the separated and identical distribution estimations on machine learning methodologies. It is also simple to use because it only requires pixel information and ignores any other supporting elements from various color schemes. The following factors are taken into consideration while comparing the five different AIA approaches: main idea, significant contribution, computational framework, computing speed, and annotation accuracy. A set of publicly accessible photos that serve as standards for assessing AIA methods is also provided, along with a brief description of the four common assessment signs.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43493313","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}
Streetscape can be considered as a term “which can be used to clarify and explain the street's built-in and the basic structure, also it is known as the design of the visual appeal and quality of the street effect. A good tool for improving urban quality and establishing a feeling of place is design of streetscape. People's requirements for public areas have changed as internet usage has continued to expand. The numbers of people who use cars has increased a lot in Riyadh city. This leads to some problems in a direct and an indirect way, such as car accidents, traffic overcrowding, lack of services for bicyclists and pedestrians, weak social relationships between the people, and high obesity levels. Reconsider design of streetscape in Riyadh city especially in the era of digital information technology will revitalize regions by providing reshaping the urban experience toward higher livability that respond to and connect with onlookers in order to increase understanding of onlookers' activities in the streets, promote their sense of place, and improve safety and livability in urban areas.. The presented study focuses on the qualitative approach that is according to the related theoretical exploration and research; so, this paper combines the design of streetscape with digital information technology, with new ideas of intelligent streetscape’s design for enhancing Riyadh city to make the user's life livable. The current paper ended with proposed strategic approaches and suggestions to enhance the city of Riyadh's streetscape style as an outcome of the theoretical research. Results indicated that streets, which contain a close combination with the resident’s daily life activities and the important consequences on their mental comfort, have not attracted any care in terms of academic research. This resulted in a failure in providing solid strategic approaches for intelligent design of streetscape in Riyadh city.
{"title":"New strategic approaches for implementing intelligent streetscape towards livable streets in City of Riyadh","authors":"T. Alshammari","doi":"10.21533/pen.v11i2.3507","DOIUrl":"https://doi.org/10.21533/pen.v11i2.3507","url":null,"abstract":"Streetscape can be considered as a term “which can be used to clarify and explain the street's built-in and the basic structure, also it is known as the design of the visual appeal and quality of the street effect. A good tool for improving urban quality and establishing a feeling of place is design of streetscape. People's requirements for public areas have changed as internet usage has continued to expand. The numbers of people who use cars has increased a lot in Riyadh city. This leads to some problems in a direct and an indirect way, such as car accidents, traffic overcrowding, lack of services for bicyclists and pedestrians, weak social relationships between the people, and high obesity levels. Reconsider design of streetscape in Riyadh city especially in the era of digital information technology will revitalize regions by providing reshaping the urban experience toward higher livability that respond to and connect with onlookers in order to increase understanding of onlookers' activities in the streets, promote their sense of place, and improve safety and livability in urban areas.. The presented study focuses on the qualitative approach that is according to the related theoretical exploration and research; so, this paper combines the design of streetscape with digital information technology, with new ideas of intelligent streetscape’s design for enhancing Riyadh city to make the user's life livable. The current paper ended with proposed strategic approaches and suggestions to enhance the city of Riyadh's streetscape style as an outcome of the theoretical research. Results indicated that streets, which contain a close combination with the resident’s daily life activities and the important consequences on their mental comfort, have not attracted any care in terms of academic research. This resulted in a failure in providing solid strategic approaches for intelligent design of streetscape in Riyadh city.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45192638","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}
Ali Hashim Yas, Mohammed Neamah Ahmed, Ahmed M. Abdulhadi
Creating a balance between cost, time, and quality in construction projects is always expected. It is possible to have a project with excellent quality and minimal cost, but at the expense of time, or vice versa. The goal of this paper is to discover, evaluate and prioritize the factors that most influence the desired construction projects' level of quality (success factors) in Iraq. Over a comprehensive review of literature, 11 potential quality-related factors were found to fall into the following five categories: client, contractor, design, materials, and project related factors. These factors' significance was determined using fuzzy Best Worst Method (BWM). Result shows the most three significant success factors influencing quality in the construction projects were related to contractor, client, and designer. These factors were financial competence of contractor, technical capability of client, and designer suitable selection with weights (30.84%, 15.58%, and 10.05%) respectively. These results conclude that maximization of the success factors will guarantee that the building sector achieves its quality objectives.
{"title":"Decision support system based on BWM for Analyzing success factors affecting the quality in the Iraqi construction projects","authors":"Ali Hashim Yas, Mohammed Neamah Ahmed, Ahmed M. Abdulhadi","doi":"10.21533/pen.v11i2.3497","DOIUrl":"https://doi.org/10.21533/pen.v11i2.3497","url":null,"abstract":"Creating a balance between cost, time, and quality in construction projects is always expected. It is possible to have a project with excellent quality and minimal cost, but at the expense of time, or vice versa. The goal of this paper is to discover, evaluate and prioritize the factors that most influence the desired construction projects' level of quality (success factors) in Iraq. Over a comprehensive review of literature, 11 potential quality-related factors were found to fall into the following five categories: client, contractor, design, materials, and project related factors. These factors' significance was determined using fuzzy Best Worst Method (BWM). Result shows the most three significant success factors influencing quality in the construction projects were related to contractor, client, and designer. These factors were financial competence of contractor, technical capability of client, and designer suitable selection with weights (30.84%, 15.58%, and 10.05%) respectively. These results conclude that maximization of the success factors will guarantee that the building sector achieves its quality objectives.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45170301","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}
The purpose of this article is to present a novel strategy for the coordinated design of the Thyristor Controlled Series Compensator (TCSC) controller and the Power System Stabilizer (PSS). A time domain objective function that is based on an optimization problem has been defined. This objective function takes into account not only the influence that disturbances have on the mechanical power, but also, and this is more accurately the case, the impact that disturbances have on the reference voltage. When the objective function is minimized, potential disturbances are quickly mitigated, and the deviation of the speed of the generator's rotor is limited; as a result, the system's stability is ultimately improved. Particle Swarm Optimization (PSO) and the Shuffled Frog Leaping Algorithm are both components of a composite strategy that is utilized in the process of determining the optimal controller parameters. (SFLA). An independent controller design as well as a collaborative controller design utilizing PSS and TCSC are developed, which enables a direct evaluation of the functions performed by each. The presentation of the eigenvalue analysis and the findings of the nonlinear simulation can help to provide a better understanding of the efficacy of the outcomes. The findings indicate that the coordinated design is able to successfully damp low-frequency oscillations that are caused by a variety of disturbances, such as changes in the mechanical power input and the setting of the reference voltage, and significantly enhance system stability in power systems that are connected weekly.
{"title":"A novel approach for coordinated design of TCSC controller and PSS for improving dynamic stability in power systems","authors":"Hayder O. Alwan","doi":"10.21533/pen.v11i2.3492","DOIUrl":"https://doi.org/10.21533/pen.v11i2.3492","url":null,"abstract":"The purpose of this article is to present a novel strategy for the coordinated design of the Thyristor Controlled Series Compensator (TCSC) controller and the Power System Stabilizer (PSS). A time domain objective function that is based on an optimization problem has been defined. This objective function takes into account not only the influence that disturbances have on the mechanical power, but also, and this is more accurately the case, the impact that disturbances have on the reference voltage. When the objective function is minimized, potential disturbances are quickly mitigated, and the deviation of the speed of the generator's rotor is limited; as a result, the system's stability is ultimately improved. Particle Swarm Optimization (PSO) and the Shuffled Frog Leaping Algorithm are both components of a composite strategy that is utilized in the process of determining the optimal controller parameters. (SFLA). An independent controller design as well as a collaborative controller design utilizing PSS and TCSC are developed, which enables a direct evaluation of the functions performed by each. The presentation of the eigenvalue analysis and the findings of the nonlinear simulation can help to provide a better understanding of the efficacy of the outcomes. The findings indicate that the coordinated design is able to successfully damp low-frequency oscillations that are caused by a variety of disturbances, such as changes in the mechanical power input and the setting of the reference voltage, and significantly enhance system stability in power systems that are connected weekly.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42549223","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}
M. A. J. Maktoof, Ibraheem Nadher Ibraheem, Israa Tahseen Ali Al_attar
Crowd detection has various applications nowadays. However, detecting humans in crowded circumstances is difficult because the features of different objects conflict, making cross-state detection impossible. Detectors in the overlapping zone may therefore overreact. In this paper, real-time people counting is proposed using a proposed model of the YOLOv5 (You Only Look Once) algorithm and KCF (kernel correlation filter) algorithm. The YOLOv5 algorithm was used because it is considered one of the most accurate algorithms for detecting people in real time. Despite the high accuracy of the YOLOv5 algorithm in detecting the people in the image, video or real-time camera capturing, it needs an increase in speed. For this reason, the YOLOv5 algorithm was combined with the KCF tracking algorithm. Where the YOLOv5 algorithm identifies people to be tracked by the KCF. The YOLOv5 algorithm was trained on a database of people, and the system's accuracy reached 98%. The speed of the proposed system was increased after adding the KCF.
人群检测现在有各种各样的应用。然而，在拥挤环境中检测人类是困难的，因为不同物体的特征相互冲突，使得跨状态检测成为不可能。因此，重叠区域的探测器可能反应过度。本文提出了一种基于YOLOv5 (You Only Look Once)算法和KCF (kernel correlation filter)算法的实时人口统计模型。之所以使用YOLOv5算法，是因为它被认为是实时检测人员最准确的算法之一。尽管YOLOv5算法在检测图像、视频或实时摄像机捕捉中的人物方面具有很高的准确性，但它需要提高速度。为此，我们将YOLOv5算法与KCF跟踪算法相结合。其中YOLOv5算法确定KCF要跟踪的人。YOLOv5算法在人的数据库上进行了训练，系统的准确率达到98%。在加入KCF后，系统的速度得到了提高。
{"title":"Crowd counting using Yolov5 and KCF","authors":"M. A. J. Maktoof, Ibraheem Nadher Ibraheem, Israa Tahseen Ali Al_attar","doi":"10.21533/pen.v11i2.3490","DOIUrl":"https://doi.org/10.21533/pen.v11i2.3490","url":null,"abstract":"Crowd detection has various applications nowadays. However, detecting humans in crowded circumstances is difficult because the features of different objects conflict, making cross-state detection impossible. Detectors in the overlapping zone may therefore overreact. In this paper, real-time people counting is proposed using a proposed model of the YOLOv5 (You Only Look Once) algorithm and KCF (kernel correlation filter) algorithm. The YOLOv5 algorithm was used because it is considered one of the most accurate algorithms for detecting people in real time. Despite the high accuracy of the YOLOv5 algorithm in detecting the people in the image, video or real-time camera capturing, it needs an increase in speed. For this reason, the YOLOv5 algorithm was combined with the KCF tracking algorithm. Where the YOLOv5 algorithm identifies people to be tracked by the KCF. The YOLOv5 algorithm was trained on a database of people, and the system's accuracy reached 98%. The speed of the proposed system was increased after adding the KCF.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44630885","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}
J. Mušanović, Azra Metović, Adnan Fojnica, Jasmin Šutković, Tarik Ikanovic, P. Vasiljević, D. Marjanovic
This study investigates the genetic diversity and relatedness among a small local population in Bosnia and Herzegovina. In a genetic research study, a sample of 38 individuals was collected from the village of Vukotići, consisting of 21 male and 17 female subjects. The total genomic DNA was extracted using a modified Miller protocol. The QUANTIFILER DNA identification kit was used to quantify the total human DNA in the sample. The sibship relationship was assessed by computing the likelihood ratio for each of the 15 STR loci in both relatives and non-relatives. Results showed a higher homogeneity of the small local population compared to the mixed population within the larger population. Variability in peak height observed in the genetic analysis was attributed to differences in DNA concentration in the extracted samples. Probability of relatedness among participants in the Vukotići village was found to be low. Central tendency and variability measures revealed valuable insights into sample distribution and variation. The study concludes that CSI=1 and CSI=3 can be used as reliable tools to determine sibship in small local populations without a "gray zone".
{"title":"Determination of combined sibship indices using 15 STR loci and a grey zone in a small local population in central Bosnia and Herzegovina","authors":"J. Mušanović, Azra Metović, Adnan Fojnica, Jasmin Šutković, Tarik Ikanovic, P. Vasiljević, D. Marjanovic","doi":"10.21533/pen.v11i2.3491","DOIUrl":"https://doi.org/10.21533/pen.v11i2.3491","url":null,"abstract":"This study investigates the genetic diversity and relatedness among a small local population in Bosnia and Herzegovina. In a genetic research study, a sample of 38 individuals was collected from the village of Vukotići, consisting of 21 male and 17 female subjects. The total genomic DNA was extracted using a modified Miller protocol. The QUANTIFILER DNA identification kit was used to quantify the total human DNA in the sample. The sibship relationship was assessed by computing the likelihood ratio for each of the 15 STR loci in both relatives and non-relatives. Results showed a higher homogeneity of the small local population compared to the mixed population within the larger population. Variability in peak height observed in the genetic analysis was attributed to differences in DNA concentration in the extracted samples. Probability of relatedness among participants in the Vukotići village was found to be low. Central tendency and variability measures revealed valuable insights into sample distribution and variation. The study concludes that CSI=1 and CSI=3 can be used as reliable tools to determine sibship in small local populations without a \"gray zone\".","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45158290","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 : 2023-03-18DOI: 10.28978/nesciences.1338143
N. Çiftçi, B. Cicik, D. Ayas
Cartilaginous fish species have ecological importance. Besides, the ecotoxicological studies on these species are pretty insufficient. In this study, Al, Cr, Mn, Fe, Cu, Zn, As, Pb, Cd, and Sr levels were determined in muscle, liver, gill, kidney, spleen, stomach, and gonad tissues of Alopias superciliosus (Female, 240 cm TL) caught from Mersin Bay. Tissue metal analysis was determined by Inductively Coupled Plasma Mass Spectrometry (ICP-MS). A statistical difference was found among the tissues in terms of the metals. Fe was determined to be the highest level in all tissues (pGill>Spleen>Gonad>Kidney>Stomach>Muscle. Zn was detected at higher levels in the liver and stomach and As in other tissues after Fe. Al has the highest level after Zn and As and was mainly found in the gills. The tissue Cu and Zn levels were found in the same order from highest to lowest as Liver>Gonad>Kidney>Spleen≥ Stomach>Gill>Muscle. Sr was higher in the stomach, gonad, and kidney than in the other tissues. Cd levels were found in higher than Pb levels in the examined tissues. Liver Cd level was determined as 57.37 µg g-1 dw. Except for the liver, Mn levels were found low than Cr levels in the examined tissues. The distinction between the tissue levels of the investigated elements has changed depending on the functional differences between the tissues and metal metabolisms.
软骨鱼类具有重要的生态意义。此外，对这些物种的生态毒理学研究也相当不足。本研究对采自美尔新湾240 cm TL雌毛毛斑鹭(Alopias superciliosus)肌肉、肝脏、鳃、肾脏、脾脏、胃和性腺组织中的Al、Cr、Mn、Fe、Cu、Zn、As、Pb、Cd和Sr含量进行了测定。组织金属分析采用电感耦合等离子体质谱法(ICP-MS)测定。在这些组织中发现了金属含量的统计差异。各组织中铁含量最高(鳃>脾脏>性腺>肾脏>胃>肌肉)。肝脏和胃中锌含量高于铁，其他组织中砷含量高于铁。Al的含量仅次于Zn和As，主要存在于鳃中。组织Cu、Zn水平由高到低依次为肝脏>性腺>肾脏>脾脏≥胃>鳃>肌肉。Sr在胃、性腺和肾脏中的含量高于其他组织。在被检查的组织中发现Cd水平高于Pb水平。肝脏Cd水平为57.37µg g-1 dw。除肝脏外，在检查的组织中发现锰水平低于铬水平。所研究元素的组织水平之间的区别已经改变取决于组织和金属代谢之间的功能差异。
{"title":"First Report on the Elemental Composition of the Bigeye Thresher Shark Alopias superciliosus Lowe, 1841 from the Mediterranean Sea","authors":"N. Çiftçi, B. Cicik, D. Ayas","doi":"10.28978/nesciences.1338143","DOIUrl":"https://doi.org/10.28978/nesciences.1338143","url":null,"abstract":"Cartilaginous fish species have ecological importance. Besides, the ecotoxicological studies on these species are pretty insufficient. In this study, Al, Cr, Mn, Fe, Cu, Zn, As, Pb, Cd, and Sr levels were determined in muscle, liver, gill, kidney, spleen, stomach, and gonad tissues of Alopias superciliosus (Female, 240 cm TL) caught from Mersin Bay. Tissue metal analysis was determined by Inductively Coupled Plasma Mass Spectrometry (ICP-MS). A statistical difference was found among the tissues in terms of the metals. Fe was determined to be the highest level in all tissues (pGill>Spleen>Gonad>Kidney>Stomach>Muscle. Zn was detected at higher levels in the liver and stomach and As in other tissues after Fe. Al has the highest level after Zn and As and was mainly found in the gills. The tissue Cu and Zn levels were found in the same order from highest to lowest as Liver>Gonad>Kidney>Spleen≥ Stomach>Gill>Muscle. Sr was higher in the stomach, gonad, and kidney than in the other tissues. Cd levels were found in higher than Pb levels in the examined tissues. Liver Cd level was determined as 57.37 µg g-1 dw. Except for the liver, Mn levels were found low than Cr levels in the examined tissues. The distinction between the tissue levels of the investigated elements has changed depending on the functional differences between the tissues and metal metabolisms.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":"92 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81743571","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}
The general linear model is widely used in many scientific fields, especially biological ones. The Ordinary Least Squares (OLS) estimators for the coefficients of the general linear model are characterized by good specifications symbolized by the acronym BLUE (Best Linear Unbiased Estimator), provided that the basic assumptions for building the model under study are met. The failure to achieve one of the basic assumptions or hypotheses required to build the model can lead to the emergence of estimators with low bias and high variance, which results in poor performance in both prediction and explanation of the model in question. The hypothesis that there are no multiple linear relationships between the explanatory variables is considered one of the leading hypotheses on which the model is based. Thus, the emergence of this problem leads to misleading results and high (Wide) confidence limits for the estimators associated with those variables due to problems characterizing the model. Shrinkage methods are considered one of the most effective and preferable ways to eliminate the multicollinearity problem. These methods are based on addressing the multicollinearity problems by reducing the variance of estimators in the model. Ridge and Lasso methods represent the most and most common of these methods of shrinkage. The simulation was carried out for different sample sizes (40, 120, 200) and some variables (P=30, 60) in the first and second experiments arbitrarily and at the level of low, medium, and high correlation coefficients (0.2, 0.5, 0.8). When (p=30, 60) Lasso method has the smallest (MSE) than the Ridge method. The Lasso method proved its efficiency by obtaining the least MSE. Optimal Penalty parameter (λ) chosen from Cross-Validation through minimizing (MSE) of prediction. We see a rapid increase for (MSE) for both (Ridge-Lasso) where the top axis indicates the number of model variables, and when the correlation between variables increases and sample size too, we can see the (MSE) values increase in the Ridge method than the Lasso method. A ridge method gives greater efficiency when the sample size is more significant than variables (p
{"title":"A comparative study between shrinkage methods (ridge-lasso) using simulation","authors":"Z. Ghareeb, Suhad Ali Shaheed Al-Temimi","doi":"10.21533/pen.v11i2.3472","DOIUrl":"https://doi.org/10.21533/pen.v11i2.3472","url":null,"abstract":"The general linear model is widely used in many scientific fields, especially biological ones. The Ordinary Least Squares (OLS) estimators for the coefficients of the general linear model are characterized by good specifications symbolized by the acronym BLUE (Best Linear Unbiased Estimator), provided that the basic assumptions for building the model under study are met. The failure to achieve one of the basic assumptions or hypotheses required to build the model can lead to the emergence of estimators with low bias and high variance, which results in poor performance in both prediction and explanation of the model in question. The hypothesis that there are no multiple linear relationships between the explanatory variables is considered one of the leading hypotheses on which the model is based. Thus, the emergence of this problem leads to misleading results and high (Wide) confidence limits for the estimators associated with those variables due to problems characterizing the model. Shrinkage methods are considered one of the most effective and preferable ways to eliminate the multicollinearity problem. These methods are based on addressing the multicollinearity problems by reducing the variance of estimators in the model. Ridge and Lasso methods represent the most and most common of these methods of shrinkage. The simulation was carried out for different sample sizes (40, 120, 200) and some variables (P=30, 60) in the first and second experiments arbitrarily and at the level of low, medium, and high correlation coefficients (0.2, 0.5, 0.8). When (p=30, 60) Lasso method has the smallest (MSE) than the Ridge method. The Lasso method proved its efficiency by obtaining the least MSE. Optimal Penalty parameter (λ) chosen from Cross-Validation through minimizing (MSE) of prediction. We see a rapid increase for (MSE) for both (Ridge-Lasso) where the top axis indicates the number of model variables, and when the correlation between variables increases and sample size too, we can see the (MSE) values increase in the Ridge method than the Lasso method. A ridge method gives greater efficiency when the sample size is more significant than variables (p<n), but the Ridge method cannot shrink coefficients to precisely zero. So, the elasticity of ridge coefficients decreases, but variance increases bias, also (MSE) first remains relatively constant and then increases fast.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43739819","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：