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Article Citation - Scopus: 0Performance Assessment of Anion Exchange Electrolyzer With Pbi-Based Membrane Through 0-D Modeling(Elsevier Ltd, 2025) Celebi, C.; Colpan, C.O.; Devrim, Y.Anion exchange membrane (AEM) water electrolysis is emerging as a promising method for the sustainable production of hydrogen. A key advantage lies in the potential for cost-effective hydrogen production by substituting expensive noble metal electrocatalysts with affordable transition metals. This work presents a 0-D mathematical model for evaluating the performance of AEMWEs, with a particular focus on polybenzimidazole (PBI)-based membranes, which are renowned for their high thermal stability, chemical resistance and excellent conductivity in alkaline media. The objective of the model is to predict the behavior of membranes in AEMWE systems, and it has been employed to evaluate the performance of a range of PBI membranes. To ensure precision, the values were meticulously selected from the literature, in accordance with the experimental conditions. Furthermore, IR-corrected validation was incorporated to isolate the impact of membrane conductivity on performance, thereby facilitating a dependable assessment of PBI membranes under diverse conditions. The model considers the effects of electrolyte resistance and bubble formation on cell voltage behavior. The efficiency was evaluated on the basis of the higher heating value (HHV). The findings demonstrate that one membrane exhibits consistent efficiency across a broad temperature range (40–90 °C), whereas the other displays notable variability under diverse conditions. In particular, the efficiency of the electrolyzer is significantly enhanced by the use of thinner membranes and higher temperatures. The highest efficiencies obtained were 83.9% and 79.8% for 25 μm and 50 μm PBI/Polystyrene membrane under the operating conditions of 1 M KOH solution at 80 °C and current density of 2 A/cm2. This study aims to provide valuable information on the performance of PBI membranes through a zero-dimensional model validated by experimental data. © 2025 Hydrogen Energy Publications LLCArticle Citation - Scopus: 0Differences of Microbial Growth and Biofilm Formation Among Periprosthetic Joint Infection-Causing Species: an Animal Study(Springer Science and Business Media Deutschland GmbH, 2025) Ertan, M.B.; Ayduğan, M.Y.; Evren, E.; İnanç, İ.; Erdemli, E.; Erdemli, B.Purpose: The most frequently used surgical procedures for periprosthetic joint infections (PJIs) are debridement, antibiotics, and implant retention (DAIR), as well as single- or two-stage revision arthroplasty. The choice of surgery is made depending on the full maturation of the biofilm layer. The purpose of this study was to evaluate the biofilm formation and microbial growth using common PJI-causing agents and compare its development on the implant surface. Methods: The in vivo study was performed using 40 Sprague–Dawley rats divided into five groups (n = 8/group): Staphylococcus aureus, Staphylococcus epidermidis, Pseudomonas aeruginosa, Candida albicans, and control. Six standard titanium alloy discs were placed into the subcutaneous air pouches of the interscapular areas of the rats. After the inoculation of microorganisms, disc and soft tissue cultures were collected at 2-week intervals for 6 weeks, and the microbial load and the microscopic appearance of the biofilm were compared. Results: The disc samples from the S. aureus group had the highest infection load at all time points; however, in soft tissue samples, this was only observed at week 4 and 6. Electron microscopic images showed no distinctive differences in the biofilm structures between the groups. Conclusion: S. aureus microbial burden was significantly higher in implant cultures at week 2 compared to other PJI-causing agents examined. These results may explain the higher failure rate seen if the DAIR procedure was performed at < 3–4 weeks after the PJI symptom onset and support the observation that DAIR may not be effective against PJIs caused by S. aureus. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025.Book Part Citation - Scopus: 0Going Green: Adoption of Green Supply Chain Management Practices for Sustainable Development(IGI Global, 2025) Erkan, T.E.; Barre, A.S.Organizations are assessed for both their economic and sustainable development when it comes to their sustainable performance more so in the dynamic global supply chain management. There has been growing concern over the sustainability of the planet and corporate stakeholders are becoming more aware of the rising environmental concerns. A key strategy for global organizations in supply chain management for environmental awareness is the implementation of a green supply chain (GSC). Going green and the complete adoption of Green Supply chain is the pathway to global environmental solutions and a contributor to the achievement of sustainable development goals. This paper seeks to assess the impact of implementing GSC management practices on sustainable development. The study will reply on secondary data from available literature on the theme of green supply chain management and sustainable development. Data will be analysed using both quantitative and qualitative analysis techniques. © 2025, IGI Global Scientific Publishing. All rights reserved.Article Citation - Scopus: 0Which Technique Is Preferable for Grade 2–3 Hemorrhoidal Disease: Laser Vs. Rubber Band Ligation? a Retrospective Study(Springer International Publishing, 2025) Emral, A.C.; Gülen, M.; Ege, B.Background: The aim of this study is to compare the short and long-term results (postoperative pain, complications, return to daily life, recurrence) between patients who underwent laser hemorrhoidoplasty (LH) and rubber band ligation (RBL) due to grade 2–3 hemorrhoidal disease. Methods: The results of patients who underwent LH and RBL between June 2020 and June 2023 for grade 2–3 hemorrhoidal disease were evaluated retrospectively. The patient information was examined in terms of operation time, postoperative 1st, 7th and 14th day visual analog scale (VAS) values, the amount of analgesic used in the first 7 postoperative days, return to normal life (days), recurrence within 1 year and other complications (postoperative bleeding, thrombosis, urinary retention, infection/abscess, anal stenosis, deterioration in continence). Results: A total of 260 patients were included in the study, 166 of whom underwent RBL and 94 LH. Operation time, VAS values, postoperative 7-day analgesic use (mg), worsening of incontinence, time to return to normal life (days), complications and recurrence within 1 year evaluated. LH has statistically significant lower postoperative 1st day pain and less analgesic use (mg) than RBL (p < 0.001). Conclusıons: LH and RBL both offer effective treatment options for grade 2–3 hemorrhoidal disease, with comparable recurrence rates and time to return to normal life. However, LH is associated with significantly less postoperative pain and analgesic use on the first postoperative day, potentially enhancing patient satisfaction. © The Author(s) 2025.Conference Object Citation - Scopus: 0First Results From the Snd@lhc Experiment(Sissa Medialab Srl, 2025) Durhan, O.SND@LHC started taking data at the beginning of Run 3 of the LHC. The experiment is designed to perform measurements with neutrinos produced in proton-proton collisions at the LHC in an energy range between 100 GeV and 1 TeV. It covers a previously unexplored pseudo-rapidity range of 7.2 < η < 8.4. The detector is located 480 m downstream of the ATLAS interaction point in the TI18 tunnel. The detector is composed of a hybrid system based on an 800 kg target mass of tungsten plates, interleaved with emulsion and electronic trackers, followed downstream by a calorimeter and a muon system. The configuration allows efficiently distinguishing between all three neutrino flavours, opening a unique opportunity to probe physics of heavy flavour production at the LHC in the region that is not accessible to ATLAS, CMS and LHCb. This region is of particular interest also for future circular colliders and for predictions of very high-energy atmospheric neutrinos. The detector concept is also well suited to searching for Feebly Interacting Particles via signatures of scattering in the detector target. The experiment has published several results. This work focuses on the experience gained from the first measurements and how this is being used to achieve the physics goals of SND@LHC. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).Article Citation - Scopus: 0Examination Of The Relationship Between Money Laundering And Tax Crimes Based On Financial Action Task Force (fatf) Standards: A Stocktaking For Türkiye(Sosyoekonomi Society, 2025) Bülbül, D.; Güler, K.Money laundering and tax crimes are financial crimes that have considerable costs to society, and there are notable interconnections between them. This study aims to examine the contribution of the measures introduced against money laundering by the Financial Action Task Force (FATF) to tax compliance and combating tax crimes and to evaluate the situation in Türkiye. The conceptual framework regarding these crimes and the connections between them are established in this context. The effects of the measures introduced against money laundering on tax compliance and crimes based on FATF standards are investigated. Finally, the situation in Türkiye is examined and analysed. The study shows that customer identification and reporting of suspicious transactions can contribute significantly to identifying taxpayers, transactions, and income that should be taxed and detecting tax evasion. Still, this potential is not sufficiently utilised in our country. © 2025, Sosyoekonomi Society. All rights reserved.Article Citation - Scopus: 0The Reliability of Youtube as an Information Resource for Parents About Retinopathy of Prematurity(Slack Incorporated, 2025) Alacamli, G.; Yakar, K.Purpose: To investigate the quality and reliability of YouTube videos about retinopathy of prematurity (ROP) to direct parents of infants with the disease to access more accurate content. Methods: The term “retinopathy of prematurity” has been searched on YouTube containing all of the videos between January 2 and February 2, 2024. The first 200 videos were evaluated by two ophthalmologists. Duplicated-split videos, videos shorter than 60 seconds, videos presented in languages other than English or with an incomprehensible accent, and videos unrelated to ROP were excluded. Video uploaders, types, continental origins, durations, and viewer interactions were noted. DISCERN, The Journal of the American Medical Association (JAMA), and the Global Quality Score (GQS) scoring systems were used to evaluate the quality of the videos. Results: The mean quality of all videos was poor in all scoring systems. Academic societies and medical institutes scored highest in video uploaders, followed by physicians; patient experience videos had the lowest quality. Of the video types, the medical education seminars were of the highest quality. Although a strong positive correlation was detected between video duration and video quality, this same strong correlation was not observed between viewer interactions and video quality. There was no significant difference between video origins in terms of video quality. Conclusions: It would be wiser to direct the parents of patients with ROP to watch longer videos uploaded by the academic community, medical institute, or physicians, and to watch the medical training seminars. Also, it might be important to warn them not to take user interactions too seriously. © SLACK Incorporated.Review Citation - Scopus: 0Expanding the Role of Exosomes in Drug, Biomolecule, and Nanoparticle Delivery(Elsevier Inc., 2025) Saka, O.M.; Dora, D.D.; Kibar, G.; Tevlek, A.Exosomes are nanoscale extracellular vesicles released by diverse cell types, serving essential functions in intercellular communication and physiological processes. These vesicles have garnered considerable interest in recent years for their potential as drug delivery systems, attributed to their natural origin, minimal immunogenicity, high biocompatibility, and capacity to traverse biological barriers, including the blood-brain barrier. Exosomes can be obtained from diverse biological fluids, rendering them accessible and versatile vehicles for therapeutic medicines. This study emphasizes the burgeoning significance of exosomes in drug administration, concentrating on their benefits, including improved stability, target selectivity, and the capacity to encapsulate various biomolecules, such as proteins, nucleic acids, and small molecules. Notwithstanding their potential applications, other problems remain, including as effective drug loading, industrial scalability, and the standardization of isolation methodologies. Overcoming these hurdles via new research is essential for fully harnessing the promise of exosomes in therapeutic applications, especially in the treatment of intricate diseases like cancer and neurological disorders. © 2025Article Citation - Scopus: 0On the Novelty of “Contracting Perimeters of Triangles in Metric Space”(Erdal Karapinar, 2025) Karapınar, E.In this note, we investigate whether the newly introduced notion of “contracting perimeters of triangles” in the context of standard metric spaces is novel or equivalent to “a variant” of Banach contraction in the setting of G-metric spaces. By using the fact that G-metric spaces are equivalent to quasi-metric spaces, we reconsider our main question as whether the fixed-point theorems via “contracting perimeters of triangles” is equivalent to a fixed point of the same mapping in the context of quasi-metric spaces. © 2025, Erdal Karapinar. All rights reserved.Article Citation - Scopus: 0Factors Affecting Influenza and Pneumococcal Vaccination Rates in Hemodialysis Patients: a Multicenter Study(Dove Medical Press Ltd, 2025) Selen, T.; Merhametsiz, Ö.; Öneç, K.; Ercan, Z.; İslam, M.; Altun, G.; Demir, M.E.Purpose: In patients with end-stage renal disease (ESRD), infections, particularly pneumonias, are the most common cause of hospital admissions and death after cardiovascular diseases. It is recommended that dialysis patients receive the pneumococcal vaccine every five years and the influenza vaccine annually. Our study aims to determine the awareness and factors affecting influenza and pneumococcal vaccination rates in hemodialysis patients. Patients and Methods: This cross-sectional study was conducted on patients undergoing regular hemodialysis treatment in 10 different hemodialysis centers across 4 cities. After excluding patients with less than one year of hemodialysis duration and those under 18 years of age, 548 patients were included in the study. Patients were administered a 20-item survey via face-to-face interview and electronic medical records. Results: Out of the 548 patients, only 19 (3.5%) had knowledge about the pneumococcal vaccine, while 238 (43.4%) had knowledge about the influenza vaccine. There were 220 patients (20.1%) who had knowledge about both vaccines. Among the patients, 95 (17.3%) had received the pneumococcal vaccine, with 41.1% of them having received it five years ago or more. A significant proportion (33.7%) of the patients could not recall the timing of their vaccination. While 183 (33.4%) patients had not received the influenza vaccine, only 140 (25.5%) had been vaccinated regularly every year. The reasons for not receiving the influenza and pneumococcal vaccines were stated as “I do not feel the need because I do not get the flu“ (25%) and ”I do not know about the pneumonia vaccine” (36.7%), respectively. The ROC curve analysis for the influenza questionnaire score showed an AUC of 0.822 (95% CI 0.787–0.856), with a p-value of <0.001. The statistically significant cutoff value for predicting influenza vaccination was determined to be 2.5. In the univariate analysis, dialysis duration (HD duration), diabetes mellitus (DM), and vascular access type were found to be statistically significant. In the multivariate logistic regression analysis, dialysis duration and DM were identified as independent factors predicting a higher level of knowledge about the influenza vaccine (p=0.009, 0.003, and p=0.041). The ROC curve analysis for the pneumococcal questionnaire score showed an AUC of 0.920 (95% CI 0.886–0.955), with a p-value of <0.001. The statistically significant cutoff value for predicting pneumococcal vaccination was determined to be 3.5. In the univariate analysis, residence, dialysis duration, and education level were found to be statistically significant. In the multivariate logistic regression analysis, dialysis duration and education level were identified as independent factors predicting a higher level of knowledge about the pneumococcal vaccine (p=0.038, 0.040, and p=0.010). Conclusion: It was observed that awareness and vaccination rates regarding influenza and pneumococcal vaccines were lower in our patients than recommended. We believe that educating patients about vaccines and increasing the sensitivity of hemodialysis physicians, nurses and nephrologists on this issue will increase vaccination rates. © 2025 Selen et al.Article Citation - Scopus: 0Internationalization of Turkish Tv Soap Operas: a Case Study(Rutgers Business School, 2024) Aytac, A.I.; Esiyok, E.; Uner, M.M.As multi-channel television gained popularity in Turkiye, Turkish soap operas began to attract international audiences. Their success in international trade and rising prominence in the global television market have significantly boosted Turkey’s service exports and strengthened its global image. In 2023, the country became the third largest exporter of television soap operas in the world, with exports reaching around $600 million, behind only the U.S. and the U.K. This study offers a comprehensive perspective on the internationalization process of Turkish soap operas. The study employed an interpretative paradigm, utilizing semi‐structured interviews and content analysis of pertinent literature. A gradual internationalization process model for Turkish soap operas is proposed, highlighting key industry dynamics. © 2024, Rutgers Business School. All rights reserved.Article Citation - Scopus: 0Deep Learning Based Covid-19 Detection Using Computed Tomography Images(Prof.Dr. İskender AKKURT, 2024) Yılmaz, A.A.; Sevinç, Ö.The infectious coronavirus disease (COVID-19), seen in Wuhan city of China in December 2019, led to a global pandemic, resulting in countless deaths. The healthcare sector has become extensively use of deep learning (DL), a method that is currently quite popular. The aim of this study is to identify the best and most successful deep learning model and optimizer approach combination for COVID-19 diagnosis. For this reason, several DL methods and optimizer techniques are tested on two comprehensive public data set to select the best DL model with optimizer technique. A variety of performance evaluation metrics, including f-score, precision, specificity, and accuracy, were used to assess the models' effectiveness. The experimental results show that the most suitable and effective architecture is DenseNet-201 in the network comparison, which achieved a 98% accuracy rate using the AdaGrad optimizer and 200 iterations. © IJCESEN.Conference Object Citation - Scopus: 0Optimizing Radio Frequency Fingerprinting for Device Classification: A Study Towards Lightweight DL Models(Institute of Electrical and Electronics Engineers Inc., 2024) Iyiparlakoglu, R.; Awan, M.A.; Dalveren, Y.; Kara, A.As the Internet of Things (IoT) permeates diverse application domains, ensuring the security of wireless networks has become increasingly critical. However, the constraints of resource-limited IoT devices render complex encryption impractical. Consequently, Radio Frequency Fingerprinting (RFF) has emerged as a promising avenue, leveraging unique device characteristics resulting from manufacturing nonlinearities. RFF enhances physical layer security by enabling device classification and authentication at IoT gateways. While deep learning (DL) aided RFF systems offer exceptional classification accuracy, their deployment on edge devices remains challenging to this end. Accordingly, there is a gap in the literature for efficient model exploration and implementation. This study proposes a lightweight Convolutional Neural Network (CNN) model using 1D convolutional filters to reduce inference latency. The model was applied to an open-source dataset comprising 30 LoRa devices. An evaluation was conducted to compare classification accuracy and inference latency using Short Time Fourier Transform (STFT) and Fast Fourier Transform (FFT) for preprocessing. Additionally, the performance of the proposed model was compared against a CNN model utilizing 2D convolutional filters. The model exhibited a significant reduction in inference latency with miniscule degradation in classification accuracy, addressing the identified gap, and propelling the academic discourse towards RFF for edge devices. © 2024 IEEE.Conference Object Citation - Scopus: 0Smart Contract Upgradability: a Structured and Natural Approach(Institute of Electrical and Electronics Engineers Inc., 2024) Çulha, D.; Yazici, A.Software maintenance is crucial as technology rapidly evolves, requiring software to meet new demands and correct errors. Smart contracts, immutable programs on blockchains like Ethereum, face challenges despite their immutability, often needing updates for errors or new features. Smart contracts are upgraded using different patterns, which are not natural because most of them implement upgrades using low-level operations that deviate from their intended use. In other words, these patterns are not natural because upgrades are done by implementing workarounds. Moreover, smart contracts are also susceptible to security vulnerabilities because they may hold large amounts of money. In this paper, upgradability of smart contracts is considered a necessity. For this purpose, a more structured method is proposed by adding high-level features and combining inheritance properties of object-oriented languages. A key component of this method is the gotoContract variable, which allows for the redirection of function calls to upgraded contracts. The proposed method provides a complete upgrade of data and functions in smart contracts. It aims to minimize the effects of upgrades on end users of the smart contracts. Additionally, this natural way of upgrading will help mitigate security risks in the smart contracts by providing a high-level approach to upgrade. © 2024 IEEE.Conference Object Citation - Scopus: 0A Lithium-Ion Battery Fast Charging Algorithm Based on Electrochemical Model: Experimental Results(American Society of Mechanical Engineers (ASME), 2024) Anwar, S.; Pramanik, S.; Amini, A.Lithium-Ion batteries have become the principal battery technology for EVs to date. However, one of the principal factors limiting the widespread usage of the EVs is the length of charging times for the lithium-ion battery packs. The appropriate charging algorithm is critical to shorten the battery charging times while keeping the battery safe. In our earlier work, we proposed a novel optimal strategy for charging the lithium-ion battery based on electrochemical battery model using A performance index that aimed at achieving a faster charging rate while maintaining safe limits for various battery parameters. A more realistic model, based on battery electro-chemistry has been used for the design of the optimal charging algorithm as opposed to the conventional equivalent circuit models. Simulation results showed that the proposed optimal charging algorithm is capable of shortening the charging time of a lithium-ion cell by as much as 30% when compared with the standard constant current charging. Here we present the results from a number of experiments using Lithium-Ion cylindrical cells that were charged using the proposed algorithm and compared the charging times with the standard constant current-constant voltage (CC-CV) charging algorithms. A Maccor Series 4300 battery testing system was used to carry out the experiments. The experimental results showed that the proposed algorithm offered shorter charging times by up to 16% when compared to the CC-CV charging algorithms under the same battery initial conditions such as SOC and temperature of the cells. Copyright © 2024 by ASME.Conference Object Citation - Scopus: 0Comparative Analysis Of Patch Antennas With Rectangular Slots For Laminate And Wearable Materials At 5g Networks(Institute of Electrical and Electronics Engineers Inc., 2024) Hakanoglu, B.G.; Agaya, E.; Gulmez, G.; Yalinsu, S.In this study, new multi-band patch antenna design models are proposed for use in 5G networks. The purpose of the designs is to open rectangular slots on rectangular shaped patch antennas and bring them to the desired operating conditions with parametric analyzes. The designs were carried out by following the same procedure steps using five different dielectric laminate substrate materials, such as RO3003, RT6006, FR4, RO3203, RO6010, and one denim fabric base material. The antennas were compared in terms of return loss, gain and radiation characteristics. Except for the antenna designed with RO3203 at certain values of rectangular slots, radiation at multiple frequencies was obtained at 5G frequencies. With the proposed method, improvement was observed for return loss and bandwidth characteristics in the RO3203 based antenna. This study will be a resource for antenna researchers by revealing the responses of different substrate materials to the same design method for 5G bands in patch antennas. © 2024 IEEE.Conference Object Citation - Scopus: 0An Overview of Challenges To Long-Term Sustainability and Scalability of Radio Frequency Fingerprinting(Institute of Electrical and Electronics Engineers Inc., 2024) Demiroglu, H.S.; Awan, M.A.; Kara, A.Internet of Things (IoT) technology has become ubiquitous with a broad spectrum of applications. This vast pen-etration entails formidable cyber-security for the stable operation of the associated systems. Most inexpensive IoT devices employ rudimentary cryptographic security mechanisms due to their resource-limited architecture. Radio frequency fingerprinting (RFF) is a physical layer security mechanism that leverages hardware impairments for authentication and device classification. To this end, its scope has been limited to academia owing to daunting challenges. In this work, an abridged overview of the state-of-the-art is provided, along with a summary of the challenges that hinder progress toward practical applications. The article culminates with a discussion on the intricacies of performance metrics in RFF and the direction for future research. © 2024 IEEE.Book Part Citation - Scopus: 0A Transmodern Reading of Black Feminist Activism in Bernardine Evaristo's Girl, Woman, Other(Peter Lang AG, 2023) Tekin, K.; Turgut, Z.R.Article Citation - Scopus: 0Investigation of Photosensitivity Side Effect of Systemic Doxycycline Used in the Treatment of Acne Vulgaris(Pakistan Association of Dermatologists, 2023) Hasanbeyzade, S.; Saadet, E.D.Objective In this study, photosensitivity and other side effects due to the usage of systemic doxycycline in summer during acne treatment and whether these side effects were related to the demographic and clinical properties of the patients were investigated. Methods Before conducting the study, approval of the ethics committee of the hospital was obtained. 251 patients who applied to the dermatology outpatient clinic between 01.05.2021-30.09.2021 and were diagnosed with moderate-severe acne were included in the study. Demographic characteristic of the patients, clinical and treatment features, and development of photosensitivity or other side effects during or after the treatment were examined. Results Side effects were seen in 9 out of a total of 251 patients (3.6%). Among these patients, 5 patients (2%) had erythematous papules or plaque-like lesions on the face, and 4 patients (1.6%) had erythematous papules on the forearms. A statistically significant difference for age, sex, the severity of the disease, and treatment dose was not detected between groups classified according to the side effects (p values were respectively: 0.67, 0.058, 0.343, and 0.858). Statistically, a significant difference was found between these groups for the treatment period and usage of sun protection (p values were respectively: 0.011 and 0.003). Conclusion In patients who have erythematous papules and plaques on the face, these findings regressed with topical treatment. Therefore these findings were considered to be due to the usage of the topical acne agent. However, most patients having erythematous papules on their forearms were not using sunscreens and had personal and/or familial history of atopy. Because side effects did not require cessation of the systemic treatment and regressed with administered treatment; in the case of regular usage of sunscreen and utilization of benzoyl peroxide in combination, the photosensitivity side effect was thought to be minimal. © 2023 Pakistan Association of Dermatologists. All rights reserved.Article Citation - WoS: 0Citation - Scopus: 0Estimation of the Mean Radiant Temperature in Office Buildings Using an Artificial Neural Network Developed in a Phyton Environment(Taylor & Francis Ltd, 2025) Ozbey, Mehmet Furkan; Lotfi, Bahram; Turhan, CihanThermal comfort describes an occupant's state of mind in a thermal environment, influenced by six parameters: air velocity, relative humidity, air temperature, mean radiant temperature (MRT), clothing value, and metabolic rate. MRT is the most problematic parameter since the obtaining process is difficult and time-consuming. MRT can be acquired by several methods such as calculations, measurements, assumptions, and software programmes. However, the methods have complexities and uncertainties. Comprehensive models are needed to obtain MRT. To this aim, this study presents an alternative method using one of the artificial intelligence methods, Artificial Neural Network (ANN), to predict MRT for indoor environments to abstain from the difficulties and complexities. A case building is selected in a university office building in Ankara, T & uuml;rkiye. The proposed model is developed and coded in a Python programming environment to predict the MRT using ANN. The results indicate that the ANN model, using only four inputs, predicts MRT with an R-2 value of 0.94 compared to the globe thermometer measurement method. The model's advantages over methods include simplicity, time efficiency and learning from the limited datasets such as difficulty in calculating terms like MRT.
