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Giant dipole resonance parameters optimization and photo-neutron cross-section calculations of several spherical and deformed nuclei
No full textUnderstanding the interaction between photons and matter is crucial for exploring essential questions in nuclear physics. The Giant Dipole Resonance (GDR) is the prevailing mechanism in photo-absorption cross-sections up to 30 MeV. Depending on whether the nucleus is spherical or deformed, the curve of the photo-absorption crosssection versus photon energy is characterized by one or several Lorentzian peaks. Theoretical calculations of photo-absorption cross-sections are largely centered on deducing GDR parameters. These parameters are used in theoretical reaction codes that aim to simulate photon-induced nuclear reactions accurately. In this study, the GDR parameters for the spherical isotopes 115In, 144Sm, 148Sm, 150Sm, and for the deformed isotopes 154Sm, 153Eu, and 160Gd were calculated by optimizing to the experimental data. The calculated GDR parameters were inputted into the TALYS 1.8 code to compute the photo-neutron cross sections, which were then compared with experimental results from the literature. It has been observed that the calculations performed with the obtained GDR parameters are consistent with the experimental data.No sponso
Bilateral meme kanseri radyoterapisinde alan İçinde alan ve yoğunluk ayarlı radyoterapi tedavi planlama tekniklerinin dozimetrik açıdan karşılaştırılması
No full text7. Uluslararası Marmara Bilimsel Araştırmalar ve İnovasyon Kongresi (27-28 Ocak, 2024 : İstanbul/Türkiye)Bilateral meme kanseri radyoterapisi oldukça karmaşık bir süreç olmasının yanı sıra tedavi süresi ve sonrasındaki aşamalarda bazı komplikasyonlar gözlenebilmektedir. Bu komplikasyonları en aza indirmek ve tümör kontrolü için uluslararası kabul kriterlerine göre tedavi planları yapılarak gerekli sınırlar içerisinde kalmak gerekmektedir.
Bu çalışmada, alan içinde alan (FinF) ve yoğunluğu ayarlanabilir radyoterapi teknikleri (YART) yardımıyla 10 adet bilateral meme kanseri tanısı konulmuş hastaya ait radyoterapi tedaviler planlanmıştır. Değerlendirilme aşamasında, hedef hacimlerin Dmax, V47.5,V50, D1, D2, D50 ve D98 doz değerleri incelenerek konformite ve homojenite indeksleri dozimetrik olarak karşılaştırılmıştır. Ayrıca risk organ dozları (RAO) karşılaştırılarak, her iki tedavi tekniği için avantajlı ve dezavantajlı durumlar belirlenmiştir. Tedavi planları ve kalite kontrolleri, uluslararası kabul kriterlerine göre değerlendirilmiştir.
Bilateral meme kanseri radyoterapisinde birçok teknik geliştirilmiştir ancak tanjansiyel açılarla FinF tekniğinin kullanılması hala önemini korumakta ve tercih edilmektedir. Bu çalışma, YART ve FinF tekniklerine ait karşılaştırma verilerine bakılarak hedef üzerindeki homojen doz dağılımı, RAO dozları, tedavi süresi ve güvenilirliği vb. faktörlerin göz önüne alınarak değerlendirilmiştir. Çalışma verileri neticesinde FinF tedavi planlarının RAO dozları daha düşük çıkmıştır. Tedaviye ait alan sayıları, segment sayıları ve tedavi süresi bakımından daha avantajlı bulunmuştur. Ancak tümör doz dağılımına bakıldığında doz sarımı, homojen doz dağılımı açısından YART tedavi planları daha kullanışlıdır. Bunun yanı sıra YART tedavi planlarında RAO dozları protokol ve literatürle uyumlu bulunmuştur. Tedavi süresi, segment sayısının çokluğu ve plan kalite kontrolü için geçen süreden dolayı dezavantajlı bulunmuştur.No sponso
Phase-space analysis of tumor growth
No full textInternational Congress on Fundamental and Applied Sciences 2024 (ICFAS2024) (11. : 2024 : Istanbul, Türkiye)Beginning with this article we intend to investigate the problems of mathematical and biological
approaches to model the cancer growth dynamics processes and operations. It is important to take
into account "the nonlinear property of cancer growth processes" in construction of mathematical
logistic models. The nonlinearity approach appears very convenient to display unexpected
dynamics in cancer growth processes expressed in different reactions of the dynamics to different
concentrations of immune cells at different stages of cancer growth developments [1-21]. Taking
into account all the complex processes, nonlinear mathematical models can be estimated capable
of compensation and minimization the inconsistencies between different mathematical models
related to cancer growth-anticancer factor affections. The elaboration of mathematical non-spatial
models of the cancer tumor growth in the broad framework of tumor immune interactions studies
is one of intensively developing areas in the modern mathematical biology, see works [1-9]. Of
course, the development of powerful cancer immunotherapies requires an understanding of the
mechanisms governing the dynamics of tumor growth. One of main reasons for creation of nonspatial dynamical models of this nature is related to the fact that they are described by a system of
ordinary differential equations, which can be efficiently investigated by powerful methods of
qualitative theory of dynamical systems theory. Mathematical models for tumor growth have been
extensively studied in the literature to understand the mechanism of the disease and predict its
future behavior. Interactions of tumor cells with other cells of the body, i.e. healthy host cells and
immune system cells are the main components of these models and these interactions may yield
different outcomes. Some important phenomena of the tumor progression such as tumor dormancy,
creeping through, and escaping from immune surveillance have been investigated by using these
models. Kuznetsov et al. [1] proposed a model of second order ordinary differential equations
(ODEs), which includes the effector immune cell and the tumor cell populations. They
demonstrated that even with two cell populations, these models can provide rich dynamics
depending on the system parameters and explained some important aspects of the stages of cancer
progression. Three equation mathematical models of tumor growth with an immune responses were
studied e.g. in [4, 5, 7, 9, 10]. For instance, Kirschner and Panetta [4] examined the tumour cell
growth in the presence of the effector immune cells and the cytokine IL-2 which has an essential
role in the activation and stimulation of the immune system. de Pillis and Radunskaya [5] included
a normal tissue cell population in this model, performed phase space analysis and investigated the
effect of chemotherapy treatment by using optimal control theory. In [9], interactions between
cancer cells, effector cells, and cytokines (such as IL-2, TGF-β, IFN-γ) studied. In [7] interactions
between cancer cells, effector cells, and normal tissue cells are investigated. In contrast to
mentioned works, here mathematical analysis of multipoint IVP for (1.1), local and global stability and the multiphase basins of attractions have been investigated.No sponso
A multi-criteria decision approach to measure rail transit station efficiency in urban areas
No full textPlanning and constructing public transportation (PT) lines, especially in urban areas, require careful consideration due to the many factors involved in transportation engineering. Evaluating the performance of stations, particularly for railway lines, necessitates taking both costs and benefits into
account. This study examines the performance of new rail transit (RT) stations in an urban area by considering structural costs and key benefits such as travel demand and service frequency. Specifically, our analysis focuses on construction costs as the primary expense, while the number of
peak-hour trips, average speed, and transit service frequency are treated as the main benefits. We employ the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), a multi-criteria decision-making (MCDM) methodology, to assess the effectiveness of RT stations in a large urban rail system. Notably, this technique has not previously been applied to the particular RT stations which are under our consideration. Our case study evaluates 20 stations on a tram line in a major city in Türkiye, offering 20 alternatives for analysis. The results highlight variations in station efficiency and provide recommendations for improvement. By addressing critical factors and applying MCDM approaches, this research seeks to enhance PT services in large cities, contributing to the development of a more effective and inclusive urban RT system.No sponso
Investigation of pain activity patterns, disability, body awareness, proprioception and function in individuals with and without lumbar spinal decompression surgery
No full textBackground: Further studies are necessary to sustain the efficacy of decompression interventions
and to identify the optimal rehabilitation.
Aim: To compare pain activity patterns, disability, body awareness, proprioception, function in
individuals post and pre-lumbar decompression surgery and to reveal intergroup relationships.
Methods: The present study was conducted with a total of 83 participants. Fifty participants were
in the operated individuals’ group (OI) and 33 participants were in the pre operativeindividuals’
group (POI). Participants in OI and POI were assessed one time. The mean duration after surgery
was 18.6 months in OI. Participants were evaluated with the Body Awareness Questionnaire (BAQ),
the Patterns of Activity Measure-Pain (POAM-P), the Modified Oswestry Low Back Pain Disability
Questionnaire (mOSW), lumbar joint proprioception, lower extremity stepping reaction time and
the 3 Meter Backward Walking Test (3MBWT).
Results: Symptom duration was longer in OI (p < .05). Avoidance and pacing scores were higher
in the OI (p1 = 0.003, p2 = 0.001). In the OI, proprioception and 3MBWT were moderately
correlated with BAQ (r1= −0.465, r2= −0.297, p1 = 0.0007, p2 = 0.036). Avoidance and overdoing
were weakly correlated with left lower extremity stepping reaction time (r1 = 0.33, r2= −0.321,
p1 = 0.019, p2 = 0.023). Pacing had a weak correlation with the right lower extremity stepping
reaction time (r = 0.324, p = .022). 3MBWT and left lower extremity stepping reaction time were
moderately correlated with mOSW (r1 = 0.413, r2 = 0.43, p1 = 0.003, p2 = 0.002).
Conclusion: Avoidance and pacing behaviors were higher in the surgical group. Avoidance,
overdoing, and pacing behaviors were associated with reaction time. Body awareness correlates
with proprioception and function.No sponso
Hotel supplier selection for fresh vegetables and fruit
No full textThis study will investigate the analysis of the supplier selection problem faced by a group company that owns hotels
in various regions of Antalya in its fresh vegetable and fruit purchasing process for all hotels that are under the group
company. The company currently faces a decision between continuing with its existing supplier, negotiating a new
contract, purchasing directly from the market, or exploring alternatives with new suppliers. The analysis will
meticulously scrutinize price differentials and logistic costs, conduct a thorough examination of negotiation potential
with suppliers, and consider quality factors and potential disruptions. In facilitating decision-making, a proposed
mathematical model and scenario analysis comprehensively integrate various factors, underscoring the imperative for
precise analysis and negotiation to establish a cost-effective and dependable supply chain.No sponso
A Neuro Fuzzy Logic Based Artificial Intelligence Course Application in Architecture Education
No full textArtificial intelligence has recently become a technology that users from all walks of life can benefit from in different ways through
various applications. Artificial intelligence is able to organise the data compiled by scanning large alpha-numerical and visual data
stores in a way to meet the specific needs of users from different fields of study, express them with various representation methods
and contribute to the production and informed decisions of users. Many methods based on artificial intelligence, which have been
used in engineering fields in the past, have increased their use in creative fields such as architecture. The production of visuals that
relate to material, light, form and context with AI-supported visualisation techniques accelerates the creation of the design concept
and allows the production of alternatives that would take a long time in other numerical methods. Artificial intelligence has long
contributed to the generation of geometric solutions in problems involving multi-criteria and complex parameters by quickly
considering design inputs and constraints holistically. Methods such as artificial neural networks, fuzzy logic, neuro fuzzy logic and
ANFIS (Adaptive-Network-Based Fuzzy Inference System), which are among the applications of artificial intelligence in the design
phase, can provide significant benefits for the evaluation of realistic results before the building is implemented; thus, it is possible for
the design outputs to provide more sustainability and comfort conditions.
This research shares the educational experience gained in the bachelor elective course ‘Architecture and Artificial Intelligence’ in the
curriculum of Antalya Bilim University, Faculty of Fine Arts and Architecture, Department of Architecture. The use of artificial
intelligence tools in relation to skills such as imagination and creativity required for design has many potentials and challenges in
terms of pedagogy. It is expected that this type of educational practices, which are currently experimental, can provide significant
benefits with more effective content and teaching methods in the architecture curriculum in the coming years. According to the data
obtained from the questionnaire applied to the architecture students, it was evaluated that the elective course selected for the 4th
year would be more beneficial if it was selected in the fall or spring semesters of the 2nd year. It has been determined that the
application in the studio courses they will take after taking this course can be the period in which students can analyse the effect of
design development, design decision making, comprehending the parameters that will affect energy or comfort in design. In this
study, the approach of creating architectural solutions from numerical data with neuro fuzzy logic has been tested for the first time
on architecture department students. As a result of the studies, the effect of different inputs on outputs was analysed by making
analyses such as the relationship of indoor air quality with the number of users in the space, the effect of the facade shading element
on the window wall size on the facade and the effect of the lighting elements on the direction of the building by determining more
than one factor that can affect the design with classworks and assignments.Yapay zeka, son dönemlerde çeşitli uygulamalar yoluyla her kesimden kullanıcının farklı şekillerde yararlanabildiği bir teknoloji haline
gelmiştir. Yapay zeka, büyük alfa-sayısal ve görsel veri depolarının taranması ile derlenen veriyi farklı çalışma alanından kullanıcıların
spesifik ihtiyaçlarına cevap verecek şekilde düzenleyebilmekte, zengin temsil yöntemleriyle ifade edebilmekte ve kullanıcıların
üretimlerine ve bilgili kararlar alabilmelerine katkı sağlamaktadır. Geçmişte mühendislik alanlarında kullanılan yapay zekaya dayalı
birçok yöntemin mimarlık gibi yaratıcı alanlarda kullanımı artmıştır. Yapay zeka destekli görselleştirme teknikleriyle malzeme, ışık,
biçim ve bağlamla ilişki kuran görsellerin üretilmesi tasarım konseptini oluşturulmasını hızlandırmakta ve diğer sayısal yöntemlerde
uzun süre alacak alternatiflerin üretilmesine imkan vermektedir. Yapay zekanın çok kriterli ve karmaşık parametreleri içeren
problemlerde de tasarım girdi ve kısıtlılıkları hızlı bir şekilde bütünsel olarak dikkate alarak geometrik çözümler üretmesi de uzun
zamandır katkı sağladığı alanlardandır. Yapay zekanın tasarım aşamasında uygulamalardan olan yapay sinir ağları, bulanık mantık,
sinirsel bulanık mantık ve ANFIS (Adaptive-Network-Based Fuzzy Inference System / Uyarlanabilir Ağ Tabanlı Bulanık Çıkarım Sistemi)
gibi yöntemler yapı hayata geçirilmeden önce gerçekçi sonuçların değerlendirilmesi için önemli faydalar sağlayabilmektedir; bu
sayede tasarım çıktılarının daha fazla sürdürülebilirlik ve konfor koşullarını sağlaması mümkün olabilmektedir.
Bu araştırma, Antalya Bilim Üniversitesi, Güzel Sanatlar ve Mimarlık Fakültesi, Mimarlık Bölümü müfredatında bulunan “Mimarlık ve
Yapay Zeka” isimli seçmeli lisans dersinde edinilen eğitim tecrübesini paylaşmaktadır. Tasarım için gerekli olan hayal gücü ve
yaratıcılık gibi becerilerle ilgili olarak yapay zeka araçlarının kullanılması pedagojik açıdan birçok potansiyel ve zorluğu
barındırmaktadır. Günümüzde deneysel yürütülen bu tip eğitim uygulamalarının önümüzdeki yıllarda mimarlık müfredatında daha
etkili içerik ve öğretim yöntemleriyle önemli faydalar sağlayabileceği beklenmektedir. Mimarlık öğrencilerine uygulanan ankette elde
edilen verilere göre, 4. sınıf için açılmış olan seçmeli dersin 2. Sınıf güz veya bahar dönemlerinde açılması halinde öğrenciler tarafından
daha faydalı olacağı değerlendirilmiştir. Bu dersi aldıktan sonraki girecekleri stüdyo derslerinde uygulama yapılması öğrencilerin
tasarım gelişimi, tasarıma karar verme, tasarımda enerji veya konfora etki edecek parametreleri kavrayarak tasarıma etkisini analiz
edebilecekleri dönem olabileceği belirlenmiştir. Bu çalışmada sinirsel bulanık mantık ile sayısal verilerden mimari çözüm yaratma
yaklaşımı mimarlık bölüm öğrencileri üzerinde ilk kez denenmiştir. Yapılan çalışmalar sonucunda öğrencilerin sınıf çalışmaları ve
ödevlerle tasarımı etkileyebilecek birden fazla faktörün belirlenebilmesi ile iç hava kalitesinin mekanda kullanıcı sayısı ile ilişkisi, cephe
gölgelendirme elemanı ile cephede pencere duvar boyutu üzerine etkisi ve aydınlatma elemanları ile binanın yönüne karar verme gibi
analizler yaparak farklı girdilerin çıktılara etkisi analiz edilmiştir.No sponso
EEG-Based emotion recognition in neuromarketing using fuzzy linguistic summarization
No full textIn recent years, to increase market share, companies
have preferred neuromarketing over traditional methods for better
analysis of consumer behavior. Since it easily detects customers’
subconscious preferences, electroencephalography (EEG), a brain
imaging method, has become widespread within neuromarketing
techniques. To make sense of EEG signals, dimensional models
are used to convert them into emotions. These steps can reveal
emotions and preferences easily but still require an expert for
detailed stimulus analysis. This article proposed a fuzzy linguistic
summarization approach to provide a decision support tool aimed
at presenting detailed analysis to neuromarketing experts. EEG
signals were recorded to analyze a hotel’s three (audio, video,
web page) advertisements (ads). These were converted into fuzzy
emotion labels in a modified Russell’s circumplex model for more
specific analysis. Then, these emotion labels were used in linguistic
summarization. EEG data were handled in three types: univariate,
multivariate, and multigranular detected time series. Each ad was
summarized according to demographic features, such as gender
and age, allowing comparisons between ads and their segments.
The granular trend detection algorithm was modified to detect the
simultaneous effects of ads. This study will inspire future studies
with three innovations: fuzzy linguistic summarization technique
in neuromarketing, fuzzy emotion recognition, and a modified
multigranular trend detection algorithm that detects simultaneous
agglomeration that is often overlooked.No sponso
Measuring players' performance efficiency index using Fuzzy logic in multiplayer sports: A basketball study
No full textIn multi-player sports, measuring a player's performance according to position precisely and accurately is one of the topics worth researching. A player's efficiency scores show how well the player meets the requirements of the position she plays and at what level she contributes to the basketball team. The Performance Index Rating (PIR) is one of the most fundamental scoring and mathematical system used by the Euroleague Basketball Company's first and second tier competitions. This research aims to
construct a fuzzy performance index system using fuzzy logic in basketball sports to increase players' awareness of their own performance and to evaluate their performance more sensitively and efficiently. The proposed system is presented seperately for three different positions in basketball: Guard, Forward, Center. Three different fuzzy inference systems are formed for each position: offensive action, defensive action and negative action systems. In these inference action systems, parameters used are point, assist, total successful throw, offensive rebound, steal, block, defensive rebound, total missed throw, turnover, faul, block against. For each position, the fuzzy performance index is generated through an upper fuzzy inference system where the results of the action systems are taken as input. For the proposed approach, detailed professional basketball data from the 2017-2018 to 2022-2023 seasons are used, taking into account that players must average at least 20 minutes of playing time per game. By comparing the obtained new fuzzy index values and the famous PIR values, it is observed that the proposed system is better, more sensitive and more effective both in position evaluation and in general. In future studies, applying this method to other multiplayer team sports is aimed.No sponso
Composition and products in vector-valued sobolev spaces and application
No full textIn this paper, we will show the properties of composition operators u → f (u) in framework of E-valued Sobolev and Lizorkin–Triebel spaces. Here E is a Banach space. Boundedness
and continuity properties will be discussed in a certain detail in Sobolev–Lions type function space
concerning two abstract spaces E0 and E in terms of their interpolation. By using these composition
properties, we obtain the local and global existence, uniqueness, and Lp-regularity of some nonlinear
abstract diffusion equations.No sponso