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Evli bireylerde çatışma çözme stilleri ve bilişsel duygu düzenleme stratejilerinin evlilik uyumu ile ilişkisinin incelenmesi
No full textBu çalışmada evli bireylerde çatışma çözme stilleri ve bilişsel duygu düzenleme
stratejilerinin evlilik uyumu ile ilişkisinin incelenmesi amaçlanmıştır. Araştırmada yer alan
verilere araştırmacının hazırlamış olduğu Kişisel Bilgiler Formu ile birlikte Romantik
İlişkilerde Çatışma Çözüm Stilleri Ölçeği (ÇÇSÖ), Çiftler Uyum Ölçeği (ÇUÖ) ve Bilişsel
Duygu Düzenleme Ölçeği (BDDÖ) kullanılarak ulaşılmıştır. Araştırmanın örneklemi 25 yaş
ve üzeri evli 297 kadın ve 103 erkek katılımcıdan meydana gelerek toplam 400 katılımcı ile
yürütülmüştür. Çatışma çözme stillerinin ve bilişsel duygu düzenleme stratejilerinin evlilik
uyumu üzerinde nasıl bir etkisi olduğunu değerlendirebilmek için çeşitli analizler
yapılmıştır. Yapılan analizler sonucunda, çatışma çözme stillerinden olumlu ve olumsuz
çatışma çözme stillerinin evlilik uyumu üzerinde etki büyüklüğünün bilişsel duygu
düzenleme stratejilerine kıyasla daha yüksek olduğu bulunmuştur. Araştırma sonucunda
ulaşılan bulgular literatürde yer alan diğer çalışmalar ile birlikte incelenmiştir.This study aimed to examine the relationship between conflict resolution styles and cognitive
emotion regulation strategies and marital adjustment in married individuals. The data in the
study was obtained using the Personal Information Form prepared by the researcher, as well
as the Conflict Resolution Styles in Romantic Relationships Scale (CRS), Dyadic
Adjustment Scale (DAS) and Cognitive Emotion Regulation Scale (CERS). The sample of
the research was conducted with a total of 400 participants, consisting of 297 married women
and 103 men aged 25 and over. Various analyzes have been conducted to evaluate the impact
of conflict resolution styles and cognitive emotion regulation strategies on marital
adjustment. As a result of the analyses, it was found that the effect size of positive and
negative conflict resolution styles on marital adjustment was higher than cognitive emotion
regulation strategies. The findings obtained as a result of the research were examined
together with other studies in the literature
Gene expression profile as a precursor of inflammation in mouse models: BFMI860 and C57BL/6NCrl
No full textObjective: We aimed to investigate the differences in the immune response to body fat content between the genetically mutant obese BFMI860 (BFMI) mouse strain and the lean C57BL/6Ncrl (B6) mouse strain as a control and the effects of obesity on gene expression on inflammation-related pathways in epididymal adipose tissue. Materials and Methods: Six males from each strain were maintained on a standard maintenance diet (SMD) or a high-fat diet (HFD). At the age of 10 weeks, serum and epididymal adipose tissue samples were collected for cytokine and gene expression analyses. RNA samples from epididymal adipose tissue were hybridized using the microarray technique to study the quantitative transcript amounts of genes. Results: Pathway analysis of gene expression data revealed no considerable development of inflammatory state in BFMI and B6 on SMD. Both strains responded to HFD distinctly; the inflammatory state was more prominent in the obese BFMI group than in the lean B6 group. Several genes, such as Adipoq, NFkbia, Plaur, F2r, C3ar1, and Nfatc4 in pathways involved in the immune system have been found to be differentially regulated in BFMI mice. Under the condition of obesity in BFMI mice, the induction of inflammation-related pathways indicates an increased risk of insulin resistance, atherosclerosis, and cardiovascular disease. Conclusion: This study identified distinct expression patterns of genes involved in inflammatory pathways, particularly those associated with the adipocytokine signaling pathway and complement and coagulation cascades, in the epididymal adipose tissue of BFMI and B6 mice. The BFMI strain is a valuable and promising model for clarifying the mechanisms underlying obesity and the activation of inflammation in adipose tissue
Cyber-XAI-Block: an end-to-end cyber threat detection & fl-based risk assessment framework for iot enabled smart organization using xai and blockchain technologies
No full textThe growing integration of the Internet of Things (IoT) in smart organizations is increasing the vulnerability of cyber threats, necessitating advanced frameworks for effective threat detection and risk assessment. Existing works provide achievable results but lack effective solutions, such as detecting Social Engineering Attacks (SEA). Using Deep Learning (DL) and Machine Learning (ML) methods whereas they are limited to validating user behaviors. Like high false positive rates, attack reoccurrence, and increases in numerous attacks. To overcome this problem, we use explainable (DL) techniques to increase cyber security in an IoT-enabled smart organization environment. This paper firstly, implements Capsule Network (CapsNet) to process employee fingerprints and blink patterns. Secondly, the Quantum Key Secure Communication Protocol (QKSCP) was also used to decrease communication channel vulnerabilities like Man In The Middle (MITM) and reply attacks. After Dual Q Network-based Asynchronous Advantage Actor-Critic algorithm DQN-A3C algorithm detects and prevents attacks. Thirdly, employed the explainable DQN-A3C model and the Siamese Inter Lingual Transformer (SILT) transformer for natural language explanations to boost social engineering security by ensuring the Artificial Intelligence (AI) model and human trustworthiness. After, we built a Hopping Intrusion Detection & Prevention System (IDS/IPS) using an explainable Harmonized Google Net (HGN) model with SHAP and SILT explanations to appropriately categorize dangerous external traffic flows. Finally, to improve global, cyberattack comprehension, we created a Federated Learning (FL)-based knowledge-sharing mechanism between Cyber Threat Repository (CTR) and cloud servers, known as global risk assessment. To evaluate the suggested approach, the new method is compared to the ones that already exist in terms of malicious traffic (65 bytes/sec), detection rate (97%), false positive rate (45%), prevention accuracy (98%), end-to-end response time (97 s), recall (96%), false negative rate (42%) and resource consumption (41). Our strategy's performance is examined using numerical analysis, and the results demonstrate that it outperforms other methods in all metrics
Antimicrobial peptides: Could cecropin A and nisin be new promising agents for the treatment of anaerobic infections
No full textAntimicrobial peptides (AMPs) may mitigate the danger of increasing antimicrobial resistance. We aimed to determine the activities of catestatin, temporin A, nisin and cecropin A against Bacteroides fragilis ATCC 25285, Prevotella melaninogenica ATCC 25845, Cutibacterium acnes ATCC 6919, Peptostreptococcus anaerobius ATCC 27337 and Peptostreptococcus stomatis DSM 17678. strains. The susceptibility of all anaerobic bacteria was determined by Kirby-Bauer disc diffusion method, agar dilution and broth microdilution method, recommended by CLSI. By broth microdilution the MIC of temporin A for P. anaerobius was 500µg/mL, and MBC >500µg/mL. The MIC of nisin for P. melaninogenica was 200µg/mL, with a MBC of 400µg/mL, for C. acnes, P. anaerobius, and P. stomatis, MIC were 40mg/mL. The MIC of cecropin A for B. fragilis was 50µg/mL, MBC was 500µg/mL. For C. acnes, the MIC was 4µg/mL, MBC was 8µg/mL. The MIC for P. melaninogenica, P. anaerobius and P. stomatis were 8µg/mL, with corresponding MBC values of 16, 32 and 50µg/mL, respectively. Conversely, catestatin proved ineffective against all strains. In conclusion, our study, demonstrated that cecropin A and nisin showed promising results against anaerobic standard strains. We believe thatfurther research conducted to explore those AMPs could hold promise as a treatment option for anaerobic bacterial infections
Determination of microbial composition of thermal and mineral spring in Turkey by metagenomic method
Get PDFThermal and mineral springs are natural geological formations where groundwater emerges
from the Earth's crust at higher temperatures than the surrounding environment. These
springs are often associated with regions of geological activity, such as volcanic areas, fault
lines, or areas with deep underground reservoirs.
Ispendere Mineral and Thermal Water Spring, located in Malatya province, serves as a vital
mineral water source and a significant balneotherapy center for the region, boasting
recognized health benefits. Despite extensive geochemical analyses of the waters,
microbiological studies have been notably absent. The healing waters of Ispendere are
identified by their bicarbonate and sulphur content, forming a blend of mineralized waters.
Hydrochemical and isotopic analyses conducted in the region indicate that the thermal and
mineralized waters in the vicinity align with the characteristics of MgHCO3-type waters,
whereas the cold waters exhibit properties akin to the CaHCO3 type. Despite the thorough
chemical assessments that underscore the meticulous attention given to the chemical
composition of Ispendere Springs, no microbial study of the region has been reported.
This thesis aimed to address this gap by employing a sequence-based metagenomic approach
to assess the microbial diversity of the region for the first time. Samples were taken from different parts of the region with sterile spatula into sterile containers. DNA isolation was
performed using HigherPurity Soil DNA isolation kit from samples taken from different
regions. In order to determine the microbial population present in the samples, sequence
analysis was performed as a service procurement. Illumina MiSeq platform was used in the
sequencing performed by Eurofins Genomics company within the scope of InView
Microbiome Profiling package. The samples were sequenced by targeting the 16S RNA
V3V5 variable region.
While aquatic microorganisms were prevalent, as anticipated based on existing literature,
soil-associated microorganisms were also identified. Notably, members of the genus
Planktothrix constituted the most abundant bacterial community, comprising 37.1% of the
total microbial composition. The Naviculales team is the second most represented group,
comprising 21.6% of the sequences. At the species level, the sequences bear the closest
resemblance to Navicula sp. C20, Phaeodactylum tricornutum, and Pinnularia sp. U-strain.
Rhodobacteria, constituting 4.1% of the sequenced samples, are purple photosynthetic
bacteria. Parasegetibacter terrae representing 1.2% of the fraction, is a Gram-negative,
flagellated, yellow-pigmented aerobic bacterium. Furthermore, Terrimonas
ginsenosidimutans accounting for 1.3% of the fraction, was isolated from soil and noted for
its ability to produce glycoside hydrolase and convert minor-major ginsenosides.Termal ve mineral kaynaklar, yeraltı suyunun yer kabuğundan çevreye göre daha yüksek
sıcaklıkta çıktığı doğal jeolojik oluşumlardır. Bu kaynaklar genellikle volkanik alanlar, fay
hatları veya derin yer altı rezervuarlarının bulunduğu alanlar gibi jeolojik aktivite
bölgeleriyle ilişkilidir.
Malatya ilinde yer alan İspendere Maden ve Termal Su Kaynağı, sağlık açısından faydaları
kabul edilen, bölge için hayati önem taşıyan bir maden suyu kaynağı ve önemli bir
balneoterapi merkezi olarak hizmet vermektedir. Sularda kapsamlı jeokimyasal analizlere
rağmen mikrobiyolojik çalışmaların eksikliği dikkat çekiyor. İspendere'nin şifalı suları
bikarbonat ve kükürt içeriğiyle tanınıyor ve mineralli suların bir karışımını oluşturuyor.
Bölgede yapılan hidrokimyasal ve izotopik analizler, civardaki termal ve mineralli suların
MgHCO3 tipi suların özelliklerine uygun olduğunu, soğuk suların ise CaHCO3 tipine benzer
özellikler gösterdiğini göstermektedir. İspendere Çayı'nın kimyasal bileşimine gösterilen
titizliğin altını çizen kapsamlı kimyasal değerlendirmelere rağmen, bölgeye ilişkin herhangi
bir mikrobiyal çalışma bildirilmemiştir.
Bu tez, bölgenin mikrobiyal çeşitliliğini ilk kez değerlendirmek için dizi bazlı metagenomik
bir yaklaşım kullanarak bu boşluğu gidermeyi amaçladı. Steril kaplara steril spatula ile bölgenin farklı yerlerinden örnekler alındı. Farklı bölgelerden alınan örneklerden
HigherPurity Soil DNA izolasyon kiti kullanılarak DNA izolasyonu yapıldı. Numunelerde
bulunan mikrobiyal popülasyonun belirlenmesi amacıyla hizmet alımı olarak dizi analizi
gerçekleştirilmiştir. Eurofins Genomics firmasının InView Microbiome Profiling paketi
kapsamında yaptığı dizilemede Illumina MiSeq platformu kullanıldı. Örnekler, 16S RNA
V3V5 değişken bölgesi hedeflenerek dizilendi.
Suda yaşayan mikroorganizmalar yaygın olmakla birlikte, mevcut literatüre dayanarak
tahmin edildiği gibi, toprakla ilişkili mikroorganizmalar da tanımlanmıştır. Özellikle
Planktothrix cinsinin üyeleri, toplam mikrobiyal bileşimin %37,1'ini oluşturarak en bol
bakteri topluluğunu oluşturdu. Naviculales ekibi, dizilerin %21,6'sını oluşturarak en çok
temsil edilen ikinci gruptur. Tür düzeyinde diziler Navicula sp.'ye en yakın benzerliği
göstermektedir. C20, Phaeodactylum tricornutum ve Pinnularia sp. U-suşu. Sıralanan
örneklerin %4,1'ini oluşturan Rhodobakteriler mor fotosentetik bakterilerdir. Fraksiyonun
%1,2'sini temsil eden Parasegetibacter terrae, Gram negatif, kamçılı, sarı pigmentli aerobik
bir bakteridir. Ayrıca, fraksiyonun %1,3'ünü oluşturan Terrimonas ginsenosidimutans
topraktan izole edildi ve glikozit hidrolaz üretme ve minör-majör ginsenosidleri dönüştürme
kabiliyetine sahip olduğu belirtildi
An overview of low medium and high interaction honeypots in securing wireless sensor networks
Get PDFWireless Sensor Networks (WSNs) are increasingly being used in a variety of applications
such as environmental monitoring, healthcare, and industrial automation. However, the
widespread deployment of WSNs has raised concerns about their security, as these networks
are vulnerable to a wide range of attacks. Cybersecurity in WSNs involves protecting the
confidentiality, integrity, and availability of data, as well as ensuring the authenticity of the
communication between the nodes.One of the key challenges in WSN security is the limited
resources of the sensor nodes, such as low processing power, memory, and energy. As a
result, traditional security solutions may not be suitable for WSNs, and new lightweight
security mechanisms must be developed to provide efficient protection against
attacks.Several techniques have been proposed to enhance the security of WSNs, including
encryption, authentication, access control, intrusion detection, and secure routing protocols.
These techniques aim to prevent unauthorized access to the network, detect and respond to
attacks, and ensure the privacy of data transmission.Therefore, this paper provides a
comprehensive examination of security risks against WSN , as well as solutions for
preventing, detecting, and mitigating such attacks. By being familiar with the mechanics of
these attacks, the relevant defense mechanisms can aid in the development of a secure IoT
expansion and widespread knowledge. The goal of this research is to discuss and show the
impact of security issues on WSNs from the perspective of IoT and thus its applications. A
description of relevant attacks and threats against these requirements was also included in
the study performed for this work
The Effect of Concrete Cover Thickness for Reactive Powder Concrete on the Column Resistance Against Fire
No full textStructures made of reinforced concrete are often exposed to fire of varying intensity. If the building does not burn down, a post-fire study of the building's structural integrity is necessary before determining the building's destiny. It can forecast the remaining loading capacity of the columns after a fire by knowing the temp of the fire, the thickness of the cover of concrete, the concrete's residual strength, and the tensile strength of the embedded strengthening. Over the past few years, there has been significant progress in the construction of urban cities. This progress has led to improvements in the building process, particularly in the requirements of structural design for extremely robust building products. One important factor that has been given more attention in building design is the length of building elements. Since its exceptional strength and durability, reactive powder concrete (RPC) has gained significant attention in the field of building construction in recent times. Therefore, incorporating enhancements can greatly contribute to preserving the optimal performance of concrete in various scenarios, including fire exposure. The current study seeks to examine the variations in strength of reactive powder concrete once subjected to different burning temperatures (200, 400, and 600℃) through experimental testing. The experiment involved three sets of specimens; each set exposed to different burning temperatures for one hr. Within each set, the specimens were further split into four subgroups to observe the effects on cover of concrete at depths of 15mm and 30mm, with and without secondary strengthening. The findings gained indicate that greater burning temperatures, ranging from 200-600, lead to a decrease in the compressive, tensile, and flexural strength of reactive powder concrete. In addition, the decision for increment the cover of concrete from 15 to 30 mm has proven to be effective in enhancing the fire resistance of the concrete column. Furthermore, the utilization of secondary strengthening with a similar cover of concrete has resulted in a significant increment in the overall fire resistance of the concrete structure. © (2024) The authors. This article is published by IIETA and is licensed under the CC BY 4.0 license (http://creativecommons.org/licenses/by/4.0/)
20. yüzyılda mimari ve heykelin takı tasarımı alanına yansıması
Get PDF20. Yüzyıl birçok değişim, gelişim ve yeniliklerin olduğu bir dönemi kapsamaktadır.
Dünya tarihini etkileyen savaşlar, teknolojik yenilikler, sosyal ve kültürel değişimler bu
dönemde ortaya çıkmıştır.
20. Yüzyıl’da mimari ve heykelin takı tasarımı alanına yansımasını ele alan bu tezde,
mimarlık, heykel ve takı tasarımı alanı araştırılarak birbirleriyle olan etkileşimleri
incelenmiştir. 20. Yüzyıl’da mimarlar, modernizm ve post modernizm akımlarının
etkilenerek mimari tasarımlarını gerçekleştirmişlerdir. Bu dönemde heykeltıraşlar,
akımların etkisiyle değişim ve dönüşüm geçirerek deneysel formlara yönelerek özgün
heykeller ortaya çıkarmışlardır. 20. Yüzyıl’da takı tasarımcıları, akımların etkisi ve
malzeme çeşitliliğini kullanarak özgün tasarımlarla ortaya çıkmışlardır.
Mimarlık ve heykel, mekan, form ve estetik açıdan birbirlerini etkileyen disiplinlerdir.
Heykel ve takı tasarımı, malzeme, form ve hareket gibi unsurları açısından birbirine yakın
disiplinlerdir. Mimarlık ve takı tasarımı alanı arasındaki ilişki, mimarların büyük boyuttaki
formlarını takı tasarımcıları küçülterek kullanabilmişlerdir.20. The century covers a period in which there are many changes, developments and
innovations. Wars, technological innovations, social and cultural changes taht affected
World history emerged during this period.
20. In this thesis, which deals with the reflection of architecture and sculpture in the field
of jewellery design in the century, the field of architecture, sculpture and jewelry design is
examined and their interactions with each other are examined. 20. In the century, architects
realized their architectural designs under the influence of modernism and post-modernism
movements. During this period, sculptors created original sculptures by changing and
transforming under the influence of currents and turning to experimental forms. 20. In the
century, jewelry designers have emerged with original designs using the influence of
currents and a variety of materials.
Architecture and sculpture are disciplines that affect each other in terms of space, form and
aesthetics. Sculpture and jewellery design are disciplines that are close to each other in
terms of elements such as materials form and movement The relationship between
architecture and the field of jewelry design is that architects have been able to use the
large-sized forms by Deconstructing jewellery designers
Insights from CD71 presentation and serum lipid peroxidation in myasthenia gravis - A small cohort study
No full textMyasthenia gravis (MG) is a multifaceted autoimmune disorder affecting the postsynaptic neuromuscular junction. In this study, we examined CD4+ and CD8+ T lymphocyte levels and ratios within peripheral blood mononuclear cells (PBMCs) in MG patients. Additionally, we assessed lymphocytes for the expression of CD71, which functions as a transferrin receptor mediating the uptake of iron into the cells. Building on recent discussions regarding CD20 depletion treatments in MG, we also scrutinized lymphocytes for CD20 expression. Comparative analyses were conducted among healthy controls, newly diagnosed MG patients, those undergoing pyridostigmine treatment alone, and MG patients receiving combination therapies. In the patients, the ratio of CD3+CD4+ T lymphocytes to CD3+ T lymphocytes was found to be decreased compared to the healthy controls, while the ratio of CD3+CD8+ cells to CD3+CD4+ cells increased. An increase in the percentage of CD71-expressing lymphocytes was observed in MG patients compared to the healthy control group, while CD20+ lymphocytes exhibited no statistical changes. Moreover, heightened serum lipid peroxidation levels were found in MG patients. These results suggest a possible relationship between iron metabolism, levels of CD71-expressing cells, and lipid peroxidation in MG. Conversely, pyridostigmine treatment reduced the levels of CD71-expressing cells and lipid peroxidation, suggesting potential immunomodulatory and antioxidant impacts of pyridostigmine in MG, either directly or indirectly
Enhancing self-care prediction in children with impairments: a novel framework for addressing imbalance and high dimensionality
No full textAddressing the challenges in diagnosing and classifying self-care difficulties in exceptional children's healthcare systems is crucial. The conventional diagnostic process, reliant on professional healthcare personnel, is time-consuming and costly. This study introduces an intelligent approach employing expert systems built on artificial intelligence technologies, specifically random forest, decision tree, support vector machine, and bagging classifier. The focus is on binary and multi-label SCADI datasets. To enhance model performance, we implemented resampling and data shuffling methods to tackle data imbalance and generalization issues, respectively. Additionally, a hyper framework feature selection strategy was applied, using mutual-information statistics and random forest recursive feature elimination (RF-RFE) based on a forward elimination method. Prediction performance and feature significance experiments, employing Shapley value explanation (SHAP), demonstrated the effectiveness of the proposed model. The framework achieved a remarkable overall accuracy of 99% for both datasets used with the fewest number of unique features reported in contemporary literature. The use of hyperparameter tuning for RF modeling further contributed to this significant improvement, suggesting its potential utility in diagnosing self-care issues within the medical industry