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A modern approach to data privacy with federated learning
(Maltepe University, 2023) Kalkavan, Ziya Can; Şahinaslan, Ender; Şahinaslan, Önder; 122635
Today, information technologies and their usage areas are increasing day by day. Advanced technologies such as the internet of things, smart devices and applications, machine learning and arti cial intelligence are a driving force in the spread of their usage areas. The increase in prevalence and use also increases the production and sharing of data. This increase causes various security problems and concerns in terms of data privacy. Therefore, a balance has to be struck between the need for data sharing and its security. For this purpose, the use of federated learning methods has been examined. Traditional data sharing methods focus on centralized solutions for the processing of private and sensitive data of data subjects, but this causes various problems and raises concerns in the sharing of sensitive data. In the federated learning model, it trains locally without data sharing. It has a distributed arti cial intelligence approach that can run di erent resources together. Thus, it o ers an alternative solution that can help address data privacy concerns arising from the traditional method. In this study, the basic principles, usage areas, advantages and difficulties of federated learning, which is also accepted as a modern approach in data privacy, are discussed. The data and examples obtained in the study will be presented.
A simple magnetic resonance scoring system for predicting suitability for primary anterior cruciate ligament repair
(Erzincan Binali Yıldırım Üniversitesi, 2024-08) Kılızay, Yusuf Onur; Erdoğmuş Gülcan, Server; Yılmaz, Hazal Berfin; Yalçın, Gülay; 334080; 392815; 202217; 308202
Objective: This study developed a simple magnetic resonance imaging (MRI) scoring method to assess the suitability of the anterior cruciate ligament (ACL) remnant for primary repair and aimed to test the success of this scoring method on operative images of patients undergoing early ACL surgery. Methods: The video-recorded operative images of patients who underwent ACL reconstruction and the MRI images of the same patients taken in our hospital were retrieved from the hospital archive. Two surgeons evaluated whether the ACL could be primarily repaired on the video images recorded during the operation. Magnetic resonance primary repairability (MPR) scores and repairability status on video images were compared. Results: The mean age of the patients was 30.4 ± 8.6 years. The evaluation of remnant size on MRI showed moderate agreement between observers (P < .001, Cohen’s kappa = 0.605). The assessment of the repairability score based on MRI and video observation demonstrated substantial agreement between observers (P < .001, Cohen’s kappa = 0.743 and P < .001, Cohen’s kappa = 0.762, respectively). Conclusion: The MR primary repairability score (MPR score) is suitable for use in the decision-making process for the primary repair of the ACL.
Assessing competition in the Turkish cement industry: insights from the boone indicator
(Emerald Publishing Limited, 2024-08) Yıldız, Hakan; Köprücü, Yılmaz; Şengül, Serkan; 355807
Purpose – This paper investigates the degree of competitiveness within the Turkish cement industry, employing firm-level quarterly data spanning from 2008 to 2016. Design/methodology/approach – To assess the level and trajectory of competition among Turkish cement firms, we employ the Boone indicator (β) as formulated by Boone (2008). This indicator, rooted in the concept of relative profit differences (RPD), serves as a robust metric for gauging competitive dynamics. According to the ß indicator, firms exhibiting higher relative efficiency are expected to secure greater profits and market shares in a fiercely competitive market. Additionally, we utilize concentration indices for the purpose of revealing comparable findings. Findings – Empirical findings reveal that an enhancement in firms’ efficiency corresponds to a proportionally modest increase in either market share or profits, implying a lower degree of competition within the Turkish cement industry. Although the specific magnitudes of ß estimates exhibit temporal fluctuations, we may conclude that the Turkish cement industry does not conform to the ideals of perfect competition. The concentration indices calculated on the sample also support this result. Research limitations/implications – This research is limited to the Turkish cement companies over the period 2008–2016. Originality/value – The studies measuring the level of competition in the Turkish cement sector are generally based on concentration ratios. In this study, we assess the competition level by using a different methodology based on parametric procedures.
Bibliometric analysis and mapping of the benefits and challenges of cloud ERP systems
(İstanbul Üniversitesi, 2023) Şahinaslan, Önder; Şahin, Ahmet; Şahinaslan, Ender; 122635
Enterprise resource planning is an effective tool in achieving management goals. Cloud ERP systems and applications are platform-independent offerings of this management tool in a cloud environment. This study was carried out to make sense of the advantages, difficulties and relationships of the cloud ERP system with scientific studies. For this purpose, the Scopus, Web of Science and Google Scholar databases and the Publish or Perish, WOSviewer and Excel applications were used. Statistical analysis, text mining, word network association, visual mapping and trend analysis were performed. As a result of the analysis, it was found that the total rate of publications produced in the last 3 years was 43%, the most cited work was Springer (20%) and the country was the USA (10%). It was determined that the three most frequently used keywords were ‘cloud ERP’, ‘ERP system’ and ‘ERP’. A strong correlation was found between ‘study’ and ‘challenge’ in text mining. The challenge was closely related to ‘SMEs’, ‘data’, ‘provider’, ‘technology’, ‘literature’ and ‘cloud environment’. In recent studies, the concept of ‘cloud ERP implementation’ in SMEs has come to the fore.
Comparison of clinical and radiological results of lateral retinacular release or lateral retinacular lengthening methods combined with medial retinaculum plication in patellofemoral instability
(Cureus INC, 2022) Saylık, Murat; Bilgin, Yücel; Atıcı, Teoman
Introduction In this study, we aimed to compare the clinical and radiological results of patients who underwent medial retinaculum plication (MRP) combined with lateral retinacular release (LRR) or lateral retinacular lengthening (LRL) with the diagnosis of patellofemoral (PF) instability. Methods In our study, we retrospectively analyzed 75 knees of 75 adult patients (43 females and 32 males) who underwent MRP+LRR or MRP+LRL due to PF instability without osseous pathologies. Patients were divided into two groups (MRP+LRR and MRP+LRL) according to the surgical method. The clinical and radiological results of the two groups were compared. Results MRP+LRL surgery was performed on 45 knees and MRP+LRR surgery on 30 knees. The mean age was 26.5 (18-43) years. There was no significant difference between the two groups in the change in patellar lateral shift (PLS) (p=0.429) and congruence angle (CA) (p=0.218) values. However, there was a significant difference between the two groups in the change in patellar tilt angle (PTA) (p=0.009) and lateral patellofemoral angle (LPFA) (p<0.001) values. The change in PTA and LPFA values was higher in the MRP+LRL group. There was no significant difference between the two groups in terms of pre-operative and post-operative Lysholm knee scoring scale (p=0.205, p=0.228), Kujala pain scale (p=0.393, p=0.596), and Tegner activity level scale values (p=0.121, p=0.899). Conclusions MRP+LRR or MRP+LRL provided successful results for correcting the instability in PF instability without osseous pathologies such as patella alta, tibial tubercle-trochlear groove (TT-TG) dysplasia, trochlea dysplasia, genu valgus, and tibial-femoral torsion. While PTA and LPFA values improved more with the MRPLRL method, clinical results were similar in both methods.
Comparison of the quality of life of mentally and physically disabled children and their healthy siblings
(Hacettepe Üniversitesi, 2024-09) Kavlak, Erdoğan; Erdoğmuş, Server; Kavlak, Ebru; Yalçın, Gülay; 392815; 308202
Purpose: It is known that the health-related quality of life of children with neurological problems is adversely affected. But these problems also have a negative impact on the whole family. This study was conducted to examine the quality of life of children with mental and physical disabilities and their healthy siblings. Material and Methods: 82 children with mental and physical disabilities between the ages of 2-18 and their healthy siblings were included in the study. The sociodemographic data of the participants were recorded. The Pediatric Quality of Life Inventory was used to measure health-related quality of life, and the Gross Motor Function Classification System was used to evaluate the gross motor functions of children with disabilities. Results: 82 (48 boys, 34 girls) mentally and physically disabled children with a mean age of 9.87±5.06 years and 82 (34 boys, 48 girls) healthy siblings with a mean age of 12.68±3.65 were included in the study. When the quality of life of mentally and physically disabled children was examined, it was seen that there was no significant difference between the two groups (p>0.05). There was no significant difference between the quality of life of the healthy siblings of mentally and physically disabled children (p>0.05). Discussion: It was observed that the quality of life of healthy siblings of mentally and physically disabled children was similarly affected. It should not be forgotten that the quality of life of their families and healthy siblings will also be adversely affected during the treatment process of disabled children.
Evolution of software development process from past to future: an important reflection of digital transformation
(Maltepe University, 2023) Nizamoğlu, Yekta Buğrahan; Şahinaslan, Ender; Şahinaslan, Önder; 122635; Değer, Özkan; Çakallı, Hüseyin
The software development process has undergone a great evolution from past to present. There is a rapid change from traditional software development methods to modern and innovative approaches. This change is an important re ection of digital transformation along with technological developments. Today, developments in many areas such as arti cial intelligence, machine learning, automatic code generation, smart test automation, low code development lead the change in the software development process. In the future, it is predicted that the software development process will evolve into faster, more reliable, exible and innovative methods with the impact of advanced technologies. This will a ect all environments that produce, operate and use the software and will cause radical changes in usage. In this study, the change and current situation of the software development process from past to present will be discussed. Predictions will be shared on how and in what way digital transformation and technological advances may a ect the process in the future.
Fashioning the self in Jean Rhys’s voyage in the dark and good morning, midnight
(Çankaya Üniversitesi, 2024-04) Koç, Nesrin; 13778
Jean Rhys held a deep passion for fashion and stylish attire. Her perspective on fashion, as an instrument of adopting “a second skin” finds expression in her focus on fashioning the self, a recurring motif in Rhys’s oeuvre. The physical difficulty Rhys’s female characters, whose lives bear strong similarities to her own, have in obtaining fashionable clothes represents the broader struggles they go through as the objects of the patriarchal and colonial gaze, in their voyages through the physical and metaphorical darkness of urban spaces like Paris and London in the early 1900s. Focusing on two of these women, Anna of Voyage in the Dark and Sasha in Good Morning, Midnight, for whom fashionable clothing appears to be the only way of navigating the modern society which marginalizes them, this study explores Rhys’s multilayered portrayal of fashion as a reflection of the near impossibility of attaining a cohesive sense of self, mirroring the characters’ struggles in fashioning their inner and outer selves.
Hope and psychological resilience in primary caregivers of patients with a chronic mental illness followed in a community mental health center
(Elsevier, 2024-03) Erkuş, Şeyma; Babacan Gümüş, Aysun; 372023
Purpose: The aim of this study is to examine hope and psychological resilience in primary caregivers of patients with a chronic mental illness. Design and methods: The descriptive study was conducted on 297 caregivers in community mental health centers in Turkey. Data were collected using the Introductory Information Form, Dispositional Hope Scale and the Resilience Scale for Adults. Findings: Hope and psychological resilience of primary caregivers of patients with a chronic mental illness were moderate. To sociodemographic and caregiver characteristics; caregivers who are over 40 years old, lost his/her spouse, low education level, housewife or retired, unemployed, who evaluated their incomes low, mother, living in the same house with the patient, caring for ten years or more, caring for another patient and not getting help in care had lower hope and resilience levels. Compared to patients with a diagnosis of bipolar disorder, caregivers of patients with schizophrenia had lower hope and psychological resilience levels. Conclusions: Primary caregivers of patients with a chronic mental illness should be supported in terms of hope and psychological resilience.
How close are interprofessional debriefers to meet the INACSL standards of debriefing practices? a qualitative study
(2023-12) Özata, Kevser; Caz, Büşra; Sarmasoğlu Kılıkçıer, Şenay; 167438
Aim: This study aims to determine whether the debriefings performed by different health professions for nearly a decade meet the INACSL standards of best debriefing practices. Methods: In order for learning to occur in simulation, there must be a adequate debriefing session. An adequate debriefing should be based on the criteria described in the standards of best practices published by the International Nursing Association for Clinical Simulation and Learning (INACSL). A high quality, adequate, and effective debriefing must be carried out in accordance with each standard. Results: Most of the debriefers are female. Over half had two years or less experience with simulation, and a quarter had training in simulation or debriefing. The results are presented in five contexts (Competent Debriefer, Environment, Effective Debriefing, Theoretical Framework, and Objectives and Outcomes.), which conform to the four standards covered by the INACSL standards of best practices. Conclusions: Except for the feedback, the debriefings do not meet the INACSL standards of best practices. However, the debriefers are aware of the importance of debriefing and are willing to improve their skills. Most of the debriefers have learned debriefing from observation or the literature. With this study, it was ensured that debriefers gained awareness in terms of INACSL standards. At the same time, this study will also provide awareness about the standards for the literature.
Impact of contemporary technology on art and design
(IGI Global, 2024-10) 36080; Dölkeleş, Gülce
How does art and design intersect with digitalization? What does this mean for the future of design and art? In order to better understand digital transformation in art, it is necessary to reveal the predictions of experts in these fields. This book examines the relationship between art, design and digitalization and the impact of contemporary technology on these dynamics. Within the confines of this carefully researched book lies a comprehensive analysis of how art and design processes adapt and respond to the rise of technologies. This book covers extensive topics such as contemporary art, digital art, computer art, software art, virtual art, interactive art, video art, animation, digital advertising. The book draws a vivid portrait of the emergence of digital art by linking these developments from traditional to digital in its historical trajectory.
Introductory Chapter: Tunnel Engineering – Rock Load Estimation and Support Design Methods
(Intechopen, 2022) Tosun, Hasan
Isolation in Sarah Kane's crave
(Ases, 2024-10) Mustafa, Esma; 392828; Akkoyunlu, Yağmur
Sarah Kane'in yazdığı Crave, isimsiz dört karakterin, A, B, C ve M'nin hayatlarındaki izolasyonun dokunaklı bir incelemesidir. Bu tek perdelik oyun, her karakterin en derin düşüncelerini ve kırılganlıklarını ortaya çıkarmasına izin veren fragmanlı bir anlatı yaklaşımı kullanır. Anımsatıcı ve şiirsel bir dille dolu monologları, yoğun bir yalnızlık ve duygusal boşluk hissini açığa çıkarır. Bu analiz, eserde tasvir edilen iletişim kopukluğu temasını incelemekte ve karakterlerin çağdaş toplum bağlamında anlamlı bağlantılar kurma mücadelelerini vurgulamaktadır. Çalışma, Kane'in bireylerin tecrübe ettiği izolasyonun yaygın doğasını nasıl temsil ettiğini aydınlatmayı amaçlamaktadır. Karakterlerin toplumsal çevrelerinden kopma hissinin arkasındaki nedenleri, izolasyonun onlar üzerindeki etkilerini ve maruz kaldıkları çeşitli izolasyon biçimlerini inceliyor. Bu unsurları mercek altına alan çalışma, Kane'in modern bağlamlarda izolasyonun yaygın ve çok yönlü doğasını nasıl gösterdiğine dair kapsamlı bir anlayış sunmayı amaçlıyor. Crave, kopukluğun damgasını vurduğu bir dünyada gerçek ilişkiler kurmanın zorluğuna dair ilgi çekici bir yorum olmayı sürdürüyor ve izolasyona karşı verilen asırlık mücadeleyi özetliyor. İzleyiciyi, evrensel izolasyon deneyimi ve insanların duygusal engelleri aşma ve gerçek bağlantıları keşfetme mücadelesi üzerine düşünmeye sevk ediyor.
Mathematical model to upcycle end-of-roll leftover fabrics in apparel manufacturing
(Sage, 2024-06) İşeri, Ali; Kılılaslan, Recep; 135066
This study addresses the problem of end-of-roll leftover fabrics originating after the production of baby/child apparel. The ineffective management of these leftovers results in excess inventory, occupies storage space, and imposes economic and environmental loads. To address this challenge, a novel mathematical modeling approach is proposed. The model maximizes the upcycling of leftovers by incorporating these into the manufacturing of garments while adhering to marketing, production, and ordering constraints. This model also introduces the feasibility of ordering new fabrics with a penalty, as defined by the decision makers, to increase utilization. The model was tested using actual end-of-roll leftover data. The upcycling utilization of leftovers was calculated to be between 57% and 87%. Notably, at an upcycling rate of 58%, 96% of the utilized fabrics were sourced from leftovers. The case study results validate the model efficacy and provide insights into leftover-fabric management.
Multisource reflections on assessment of nursing students' first clinical practice and predictions for 360-degree assessment: a qualitative study
(Hacettepe Üniversitesi, 2023-12) Bayzat, Çiğdem; Sarmasoğlu Kılıkçıer, Şenay; 167438
Aim: This study was conducted to explain the current situation regarding the assessment of nursing students during their first clinical practice and to determine the views on 360-degree assessment, an innovative approach, from a multi-source perspective. Material and Methods: In this qualitative case study, individual interviews were conducted with nine instructors, focus group interviews were conducted with twenty-three nursing students, and documents were examined. Data were collected between 7 August 2019–22 November 2020. The data were analyzed in line with the descriptive analysis approach. Results: While reflections on the current situation were generated in line with the findings obtained from three data sources, the context of predictions on 360-degree assessment was generated in line with the findings obtained from interviews with students and instructors. Reflections on the current situation context are analyzed under assessors, competencies, methods and tools, feedback, challenges, and suggestions themes. Predictions on 360- degree assessment context are analyzed under assessors, frequency, tools, setting, benefits, and challenges themes. Conclusion: According to the results of the data triangulation, the most important issues regarding the assessment of nursing students during first clinical practice were the high student/instructor ratio and the fact that only instructors are officially assessors. Instructors and students approached positively to the 360-degree assessment, but they also shared some concerns.
Prediction of parking space availability using ARIMA and Neural Networks
(TMMOB Makina Mühendisleri Odası, 2023) Sebatlı Sağlam, Aslı; Cavdur, Fatih
It may be critical for drivers to have information about the occupancy rates of the parking spaces around their destination in order to reduce the traffic density, a non-negligible part of which caused by the trips to find an available parking space. In this study, we predict parking occupancy rates (and thus, space availability) using three different techniques: (i) auto-regressive integrated moving average model, (ii) seasonal auto-regressive integrated moving average model and (iii) neural networks. In the implementation phase, we use the data set of the on-street parking spaces of the well-known “SFpark” project carried out in San Francisco. We take into account not only the past occupancy rates of parking spaces, but also exogenous variables that affect the corresponding occupancy rates as day type and time period of the day. We make predictions with different model structures of each of the considered methods for each parking space with different parking occupancy patterns in the data set and then compare the results to find the best model design for each parking space. We also, evaluate the results in terms of the superiority of the methods over each other and note that the performance of neural networks is better than those of the other approaches in terms of the mean squared errors.
Problems and opportunities of artificial intelligence
(İnönü Üniversitesi, 2022) Gürsakal, Necmi; Çelik, Sadullah; Batmaz, Bülent; 16040
This article reviews Artificial Intelligence (AI)’s challenges and opportunities and discusses where AI might be headed. In the first part, it was tried to reveal the differences between Symbolic AI and Deep Learning approaches, then long promises but short deliveries of AI were mentioned. The problems of AI are that the media has high expectations about artificial intelligence and keeps the problems and restrictions it creates low. Today, while AI is stuck with issues such as deepfake applications and carbon footprints that create moral and climatologic problems; on the other hand, it is struggling with problems such as deep learning models requiring huge amounts of data. Another problem with deep learning is that deep learning models are a blackbox and not open to improvements because it is not known where mistakes were made. Among the new paths ahead of AI are Hierarchical Temporal Memory (HTM) models and hybrid models that generally try to bridge the gap between Symbolic AI and Connectionist AI. If we consider that the most important leaps in AI have been made with the features of the brain that AI can imitate, then the developed HTM models may also be a new opportunity for AI.
Psychological impact of disaster relief operations: a study following consecutive earthquakes in Turkey
(Cambridge University Press, 2024-05) İşeri, Ali; Baltacı, Recep; 135066
Objective: This cross-sectional study investigates the immediate psychological effects of disaster relief operations on team members following 2 consecutive major earthquakes in Turkey. Methods: A total of 170 participants, including professional firefighters, search and rescue (SAR) workers, and volunteers, were surveyed approximately 1 month after the conclusion of active SAR operations. The study utilizes the DSM-V criteria and the Posttraumatic Stress Disorder Checklist (PCL-5) to assess symptoms of post-traumatic stress disorder (PTSD) among participants. Results: The findings reveal a point prevalence of 35.3% for probable PTSD, highlighting the substantial psychological impact on disaster relief teams. Factors such as age, residency in affected areas, and active SAR involvement significantly influenced probable PTSD rates. Interestingly, actively engaged SAR members had lower probable PTSD rates, possibly due to their training. Those who directly witnessed the earthquakes had higher scores, highlighting the impact of firsthand exposure. Additionally, individuals aged 50 and above displayed a higher mean total severity score compared to younger participants. Conclusions: This research contributes to understanding the mental well-being of disaster relief professionals. The study’s findings underscore the importance of timely mental health support and training for these responders, emphasizing the need for preparedness in disaster relief teams.
Recent Evaluation on Total Risk of Cascade Dams on Murat River of Upper Euphrates Basin, Turkey
(IntechOpen, 2022) Tosun, Hasan
Special Topics in Dam Engineering
(IntechOpen, 2022) Tosun, Hasan

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