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- ArticleAçık Erişim2027State-specific respiratory signatures for affective and stress recognition: Interpretable respiratory markers, autocorrelation lags, and compact CNN models
Velichko, Andrei; Huyut, Mehmet Tahir
Respiratory activity is a direct and interpretable physiological channel for wearable stress and affective-state recognition, yet many studies emphasize classification accuracy without identifying which respiratory properties separate different states. This work reframes RESP-based recognition as a joint predictive and explanatory problem. Using the chest respiratory channel of the WESAD dataset, we analyze 60 s windows under leave-one-subject-out validation and combine two complementary branches: compact raw-signal one-dimensional convolutional neural networks (1D-CNNs) and physically grouped handcrafted respiratory signatures. The primary application task is binary stress versus non-stress detection, while baseline, stress, amusement, and meditation are additionally analyzed in a one-vs-rest setting to reveal state-specific respiratory markers. The feature space is organized into respiratory timing, breath-to-breath variability, waveform statistics, spectral/time–frequency descriptors, and autocorrelation/nonlinear predictability descriptors, with the raw 60 s signal treated as a sixth representation for the CNN branch. We introduce autocorrelation transition lags (Zpm/Zmp) as interpretable markers of respiratory correlation scale and separately evaluate exploratory forecast-error-growth/Lyapunov-like descriptors. In the final CNN refit setting, the raw-signal model achieved the strongest stress-vs-rest performance (accuracy 96.72%, macro-F1 95.30%, MCC 90.61%). In contrast, compact feature models were stronger for baseline (MCC 65.34%), amusement (MCC 35.69%), and especially meditation (MCC 88.65%). Strict nested reanalysis of the auxiliary Top-20 stress search yielded mean MCC=82.29% versus 85.45% originally, indicating modest selection optimism. These results show that CNNs are most useful for the practical stress detector, whereas interpretable respiratory signatures provide stronger and more physiologically transparent state-specific markers for several non-stress conditions.
RDL Kalıcı Kaydıİncele - ArticleYalnız künye2026Effects of Chronic Ghrelin Administration On Metabolic Profile, S100A4 Levels, and Cardiohepatic Histopathology In Type 2 Diabetic Rats
Ergul, Ozlem; Huyut, Mehmet Tahir
Each year, nearly 18 million deaths occur due to cardiovascular diseases, and diabetes mellitus (DM) as well as hypertension are recognized as major underlying risk factors. The present study was designed to evaluate the impact of ghrelin on the blood lipid profile, LDH, serum and hepatic S100A4 levels, and liver and cardiac histology in a high-fat diet-HFD/ streptozotocin-induced animal model of type 2 DM (T2DM). HbA1c, LDL, cholesterol and triglyceride lev els were significantly increased in the untreated T2DM group compared to controls, whereas HDL and LDH levels were decreased. In the T2DM+Metformin group, LDL, cholesterol, triglyceride and HbA1c levels were reduced, while HDL and LDH levels were increased compared to the T2DM group. In the T2DM+Ghrelin group, LDL levels were significantly increased whereas HDL, cholesterol, triglyceride and HbA1c levels were decreased relative to untreated diabetic animals. Serum and hepatic S100A4 levels were significantly increased in T2DM group, however ghrelin treatmen t significantly reduced hepatic S100A4 levels. Histological evaluation of cardiac tissue in untreated diabetic rats revealed structural irregularities, cardiomyocyte degeneration, reduced cell size, myocardial damage, and lymphatic infiltration. These diab etes-induced myocardial alterations were markedly improved by ghrelin or metformin treatment. In liver tissue, extensive hepatocyte damage, necrosis, and cellular degeneration were observed in the T2DM group, whereas both treatments reduced lymphocytic infiltration and hepatocellular damage. In conclusion, the results indicate that ghrelin may represent a potential therapeutic candidate for attenuating T2DM-related structural cardiac and hepatic damage; however, additional investigations are required to confirm these effects.
RDL Kalıcı Kaydıİncele - ArticleAçık Erişim2026Evaluation of Serum Prestin as a Potential Biomarker for Trauma Severity in Patients with Traumatic Brain Injury
Yalınkılıç, Abdulaziz; Huyut, Zübeyir; Akyol, Mehmet Edip; Gündemir, Damla Ayan; Huyut, Mehmet Tahir; Çetin, Yaser Said
Objective: Prestin, expressed in cochlear outer hair cells, is essential for auditory signal amplification and may serve as a biomarker for cochlear injury related to trauma. This study aimed to investigate the potential role of prestin in the diagnosis and prognosis of cranial trauma. Methods: A total of 150 participants were included, comprising 110 patients aged 18–70 who were treated for head trauma and 40 age-matched healthy controls. The patients were divided into two groups of 55 each, with Glasgow coma scale (GCS) ≥13 and GCS ≤8, according to the GCS. Prestin was measured by enzyme-linked immunosorbent assay in serum on days 1, 3, and 7 in the patient and also the control groups. In the diagnosis of trauma and determining trauma severity, important risk levels (cut-off values) according to prestin's measurement days were calculated by receiver operating characteristic (ROC) analysis. Results: Prestin values in both the GCS ≥13 and GCS ≤8 groups were dramatically lower than those in the control on all measurement days. Additionally, prestin values in the GCS ≤8 group on days 3 and 7 tended to be lower than those in the GCS ≥13 group. Furthermore, there was a tendency for serum prestin values to increase as time progressed especially in the GCS ≥13 group. ROC analysis showed that prestin values on the first, third, and seventh days showed high accuracy in detecting traumatized individuals with area under the curve (AUC) values of 85%, 81%, and 75%, respectively (sensitivity: 84%, 79%, and 83%, respectively). Also, prestin data on the first day accurately detected the severity of trauma at a high rate (sensitivity, 82%; AUC, 90%). Conclusion: Our findings suggest that serum prestin levels on the first day after trauma may provide supportive information regarding trauma severity. However, further controlled studies are needed before definitive diagnostic or prognostic use.
RDL Kalıcı Kaydıİncele - ArticleAçık Erişim2026Stability-Bound Binary Rule Search: A General Workflow for Explainable Prediction on Binarized Clinical Data
Huyut, Mehmet Tahir; Velichko, Andrei
Explainable prediction is increasingly required in clinical decision support, especially when models must generalize across institutions. We present a stability-bound binary rule search workflow that operates on fully binarized clinical data and expresses decisions as sparse, human-readable rules. Clinical variables are converted into 0/1 indicators using clinically meaningful thresholds, so that each rule corresponds to a binary mask over a small set of interpretable features. A Binary Rule Search (BRS) engine explores conjunctions of up to four predictors (k=1–4), and candidate rules are evaluated by the Matthews-correlation-coefficient (MCC) on development and validation splits. Robustness is summarized by the Stability-Bound-Rule-Score (SBRS), a geometric-style combination of the lower 95% confidence bounds of MCC in both splits. The workflow was applied to two open-access datasets: a heart attack dataset (303 patients) and a hepatitis C dataset (615 patients). In the heart attack data, a four-feature rule combining age 55–64 years, typical chest pain, absence of angiographically stenosed vessels (CA = 0) and a reversible thallium perfusion defect achieved MCC 0.71 and 0.73 in the development and validation sets, with SBRS = 1.59. In the hepatitis C data, rules built from elevated aspartate aminotransferase together with intermediate or high alkaline phosphatase and increased bilirubin reached MCC 0.75 and 0.84, with SBRS = 1.67. Because all predictors are binarized, the final rules can be displayed as compact binary mask plots or implemented as short checklists and look-up tables. Overall, this stability-bound binary rule search workflow yields sparse, stable and clinically interpretable rule sets for cardiovascular risk stratification and chronic liver disease screening.
RDL Kalıcı Kaydıİncele - ArticleAçık Erişim2026Empirical and Asymptotic Perspectives on Sample Size Adequacy in Normality Testing: A Monte Carlo Study; [Normallik Testinde Örneklem Büyüklüğünün Yeterliliğine İlişkin Ampirik ve Asimptotik Perspektifler: Bir Monte Carlo Çalışması]
Huyut, Mehmet Tahir
Normality tests are widely used in statistical practice; however, their finite-sample behavior—shaped by the interaction between sample size, critical value calibration, and distributional structure—remains insufficiently understood. This study investigates how sample size governs the reliability of empirical and asymptotic critical values and, in turn, shapes the empirical power of widely used normality tests under symmetric and asymmetric departures from normality. A large-scale Monte Carlo simulation study was conducted for sixteen widely used normality tests. Empirical and asymptotic critical values were evaluated across sample sizes n=25, 50, 100 and 500, together with the asymptotic benchmark. Empirical power was assessed at significance levels α=0.05 and α=0.10, with results summarized by averaging across structurally similar symmetric and asymmetric alternative distributions. Substantial discrepancies between empirical and asymptotic critical values were observed for several tests at small and moderate sample sizes. These discrepancies translated directly into heterogeneous power behavior. Under symmetric alternatives, many tests exhibited rapid power gains up to moderate sample sizes, followed by clear saturation. In contrast, asymmetric alternatives showed delayed power accumulation, with meaningful gains persisting at larger sample sizes. Increasing the significance level increased power uniformly but did not alter relative test rankings. Sample size effects in normality testing are strongly distribution-dependent and cannot be adequately captured by asymptotic theory alone. Moderate samples may suffice for detecting symmetric deviations, whereas asymmetric departures require larger samples to achieve reliable power. These findings underscore the importance of finite-sample considerations in normality testing and provide a mechanistic basis for more informed test selection.
RDL Kalıcı Kaydıİncele - ArticleAçık Erişim2026Evaluation of S100A4, CA-12, CA-9, Annexin A1/A2, and Galectin-3 in Prostate Cancer: Diagnostic and Prognostic Implications
Aslan, Rahmi; Huyut, Zübeyir; Keleş, Muhammed Fatih; Bedir, Nedim; Eryılmaz, Recep; Huyut, Mehmet Tahir; Saygın, Murat; Demir, Murat; Taken, Kerem
Objective: The limited specificity of prostate-specific antigen (PSA) increases the risk of unnecessary biopsies and overtreatment. This study aimed to evaluate the diagnostic and prognostic value of serum S100A4, along with CA-9, CA-12, Annexin A1/A2, and Galectin-3, in prostate cancer. Methods: This prospective case-control study, conducted between July 2024 and September 2025, included 80 patients with histopathologically confirmed prostate cancer and 40 age-matched healthy controls. Patients were stratified into low-risk (ISUP grades 1-2) and high-risk (ISUP ≥ 3) groups. Serum biomarker levels were measured using ELISA. Diagnostic and prognostic performance was assessed by receiver operating characteristic (ROC) analysis, with cut-off values determined using the Youden index. Logistic regression analyses were performed to identify independent biomarkers. Results: Serum CA-12 and CA-9 levels were significantly higher in prostate cancer patients than in controls (p = 0.004 and p = 0.032, respectively). Although S100A4 levels were lower in prostate cancer patients compared with controls, they were significantly higher in high-risk patients within the cancer cohort (p = 0.002). Logistic regression identified S100A4 (p = 0.032) and CA-12 (p = 0.004) as independent predictors of prostate cancer diagnosis. ROC analysis demonstrated excellent diagnostic accuracy for CA-12 (>52.9 ng/mL; AUC = 0.99) and S100A4 (<9.96 ng/mL; AUC = 0.98). For prognostic stratification, S100A4 (>8.27 ng/mL; AUC = 0.97) and CA-12 (>72.8 ng/mL; AUC = 0.91) effectively distinguished high-risk from low-risk disease. Conclusion: S100A4 and CA-12 exhibit strong diagnostic and prognostic performance in prostate cancer. When used alongside PSA, S100A4 and CA-12 may improve risk stratification in patients with suspected prostate cancer and help reduce unnecessary prostate biopsies. This work is licensed under a Creative Commons Attribution-Non Commercial 4.0 International License.
RDL Kalıcı Kaydıİncele - ArticleYalnız künye2026A Novel Biomarker-Based Decision Support System for Pediatric Appendicitis Diagnosis: A Comparative Study of Ensemble Models Algorithms
Avci, Veli; Huyut, Mehmet Tahir; Velichko, Andrei; Belyaev, Maksim
Introduction: Acute appendicitis is the commonest cause of surgical abdominal pain, yet diagnosis in children remains challenging; delays increase the risk of perforation, peritonitis and sepsis. We sought to develop a rapid, inexpensive and interpretable clinical-decision support system (CDSS) that leverages routine blood tests (RBT) to assist early paediatric triage. Materials and Methods: In this retrospective single-centre study (January 2020–December 2024) we analysed 275 emergency-department encounters for abdominal pain (75 histology-confirmed appendicitis, 200 controls). The six-stage pipeline comprised (1) cohort selection; (2) exploratory logistic-regression screening of RBT variables; (3) training of Random Forest, Gradient Boosting and LightGBM ensembles (with/without SMOTE) under 10 × 10 stratified cross-validation; (4) SHAP-based feature interpretation; (5) exhaustive generation of every two- and three-parameter arithmetic biomarker from seven RBT features; and (6) derivation of probability-threshold curves and a three-zone rule tree for the top biomarker. Performance was reported with accuracy (ACC), Matthews correlation coefficient (MCC), AUC-ROC, sensitivity, specificity, F1-Score PPV and NPV. Results: Logistic regression and SHAP confirmed CRP, WBC and neutrophil count as strong positive predictors, whereas MPV and PDW were protective; PLT remained non-informative. All three ensemble classifiers surpassed 97% accuracy, 98% AUC-ROC and 0.93 MCC, with no gain from SMOTE. An extensive formula search, the best two-parameter marker was Neutrophil ÷ PDW (MCC = 0.73, specificity 95%). Its ensemble curve crosses P = 0.5 five times; practical cut-offs of < 0.633 (strongly indicate healthy) and > 0.794 (strongly indicate appendicitis) retain high NPV (∼91%) and PPV (∼86%). Among triple formulas that do not rely on PLT, the leading biomarker was CRP+WBC+Neutrophil (MCC = 0.85, PPV 92%, NPV 95%). The ensemble curve intersects at P = 0.5 at three points; values >27 strongly predict appendicitis, <23 indicates a healthy state, and values 23–27 leave a small uncertain band. A rule-based CDSS built on these two biomarkers correctly classified all controls (specificity 100%), sensitivity 95%, achieved 91% overall accuracy, and offers interpretable, electronic health records (EHRs)-ready cut-offs for paediatric appendicitis triage. Conclusion: Routine haematology-biochemistry data, interpreted through ensemble learning and engineered biomarkers, can deliver fast, transparent and highly accurate support for paediatric appendicitis triage. Given its zero false-positive rate, the proposed CDSS is best suited to in-hospital monitoring, where minimising false negatives is critical. Prospective multi-centre validation is warranted.
RDL Kalıcı Kaydıİncele - ArticleYalnız künye2026Clinical decision support system for detecting right ventricular dysfunction in acute pulmonary embolism: Explainable a new Binary Rule Search (BRS) ensembles and robustness evaluation
Huyut, Mehmet Tahir; Velichko, Andrei; Belyaev, Maksim; Izotov, Yuriy; Tosun, Mustafa; Sertoğullarından, Bünyamin; Karaoğlanoğlu, Şebnem; Demir, Abdussamed Yasin; Korzun, Dmitry
Background Right-ventricular dysfunction (RVD) in acute pulmonary embolism (PE) carries excess short-term mortality; fast, transparent risk stratification is needed. Objective To develop and evaluate an interpretable Binary Rule Search (BRS) framework for RVD detection on a fully binarized clinical dataset, emphasizing conservative robustness. Methods We analyzed a single-center cohort ( N = 363; development = 250, external validation = 113) recoded into 0/1 predictors. For subset sizes k = 1–5, a Rust BRS searched bit-mask rules maximizing Matthews correlation coefficient (MCC) on development data and was assessed over 500 stratified 250/113 hold-out repeats. We report MCC with bootstrap 95 % CIs plus sensitivity, specificity, precision, F1, and AUC-ROC. Robustness was summarized by the Stability-Bound Rule Score (SBRS). Results Performance increased with k; triplets offered the best parsimony–robustness balance, with modest conservative gains for quintets. The strongest quintet by point estimate was S{Age65_79; ThromMain; ThromBilat; DVTuni; Malig} (MCC = 0.326; 95 % CI 0.152–0.498). A balanced k = 4 rule, S{SexMale; ThromMain; Hypertens; HeartFail}, achieved Sensitivity 0.791, Specificity 0.557, F1 0.630, AUC-ROC 0.674 on external validation. Decision-tree checks yielded high lower-bound performance (e.g., L95 = 0.302 for S{ThromMain; DVTdist; COPD}), whereas LogNNet often matched mean MCC but showed consistently lower L95, indicating greater dispersion. PFI highlighted a thrombus-centric signal (ThromMain/ThromBilat/DVT) with meaningful secondary contributions from heart failure and hypertension. Conclusions Interpretable BRS ensembles deliver clinically acceptable, conservatively bounded performance using few binary predictors and transparent logic, supporting clinician-facing decision support in resource-constrained settings. We provide rule masks, uncertainty summaries, and an offline CDSS prototype; prospective multicenter validation is warranted.
RDL Kalıcı Kaydıİncele - ArticleAçık Erişim2025The Effects of Hyperı̇cum perforatum (St. John's Wort) Oil on Wound Healing and Comparison with Those of Collagenase Drugs
Koç, Alparslan; Tayfur, Mahir; Huyut, Mehmet Tahir; Memiş, Ufuk; Kahraman, Ibrahim
Background and Objectives: Wound healing is among the most fundamental problems in the field of health. Oil of Hypericum perforatum (HP) has been used for various ailments, particularly depression, burns, and wound healing, globally for a long period of time. We investigated the healing-promoting effect of HP oil on wound healing histopathologically and macroscopically in an experimental wound model in rats, aiming to compare the results with those of collagenase pomade, which is actively used in the literature. Materials and Methods: A total of 32 male Wistar rats of similar were used for the experiment. The animals were randomly divided into four groups, each consisting of eight rats. After the dorsal areas of the rats were shaved and disinfected with povidone-iodine solution, a 1 cm2 full-thickness wound was created on the backs of each rat. The sham (control) group received dry gauze dressings, while the physiological saline (PS) group was treated with saline-soaked gauze. The collagenase ointment pomade (CP) group and HP groups were treated with gauze impregnated with 0.1 grams of these substances. All wounds were dressed twice daily, in the morning and evening. The second group was treated with physiological saline. The third group was treated with collagenase ointment. And the fourth group was treated with St. John's Wort oil. Wound areas were measured on days 3, 7, 10, 14, and 21. In addition, histopathological evaluation was performed on tissue samples obtained on day 14, and the day of complete wound closure was recorded for each animal. Results: When the findings were statistically analyzed, wounds treated with St. John's Wort oil and collagenase ointment healed significantly faster than the other groups (p < 0.05). Conclusions: In conclusion, St. John’s Wort oil appears to be a promising topical agent for enhancing wound healing, as it accelerates the healing process. However, controlled clinical trials in human subjects would provide the most definitive evidence on this topic.
RDL Kalıcı Kaydıİncele - ArticleAçık Erişim2025Efficacy of Sacral Erector Spinae Plane Block for Postoperative Pain Management in Hemorrhoid and Pilonidal Sinus Surgeries: A Prospective Randomized Controlled Study
Koç, Alparslan; Akyol, Fethi; Huyut, Mehmet Tahir; Memis, Ufuk; Gazi, Mustafa; Sayar, Ali Caner; Somunkiran, Mustafa
Background This study was conducted to evaluate the efficacy of the sacral erector spinae plane block (ESPB) in postoperative pain management. We aimed to demonstrate the effectiveness of sacral ESPB implemented alongside analgesic treatment in patients undergoing hemorrhoid and pilonidal sinus (PS) surgeries. Materials and Methods The study design involves a prospective randomized controlled. Sixty-eight patients were randomly divided into a sacral ESPB group and a control group. Following surgery, the ESPB group received an ultrasound-guided injection of a local anesthetic. Both groups received standardized pain management protocols. Pain scores were recorded using the numeric rating scale at 30 minutes, 2 hours, 8 hours, and 24 hours after surgery. Additionally, tramadol consumption and hospital length of stay were also recorded. Results Patients in the sacral ESPB group had significantly lower pain scores at 8 and 24 hours compared with the control group. They also consumed less tramadol on average. There were no significant differences in pain scores or tramadol use between patients who underwent hemorrhoid surgery and those who underwent PS surgery. Conclusion Sacral ESPB effectively managed postoperative pain and reduced analgesic consumption in hemorrhoid and PS surgeries. The results of this study suggest that incorporating sacral ESPB into multimodal analgesic protocols for anorectal surgery may be clinically beneficial.
RDL Kalıcı Kaydıİncele - ArticleYalnız künye2025Effects of exogenous ghrelin treatment on oxidative stress, inflammation and histological parameters in a fat-fed streptozotocin rat model
Ergul Erkec, Ozlem; Huyut, Zubeyir; Acikgoz, Eda; Huyut, Mehmet Tahir
In this study, the anti-inflammatory, antioxidative, and protective effects of ghrelin were investigated in a fat-fed streptozotocin (STZ) rat model and compared with metformin, diabetes and the healthy control groups. Histopathological evaluations were performed on H&E-stained pancreas and brain sections. Biochemical parameters were investigated by enzyme-linked immunosorbent assay. Blood glucose levels were significantly decreased with ghrelin or metformin treatments than the diabetes group. STZ administration increased brain, renal and pancreatic IL-1β, TNF-α and MDA while decreasing GPX, CAT, SOD, and NGF levels. Ghrelin increased renal GPX, CAT, NGF pancreatic GPX, SOD, CAT, NGF and brain SOD, NGF while it decreased renal, pancreatic and brain IL-1β, TNF-α and MDA levels. Ghrelin reduced neuronal loss and degeneration in the cerebral cortex and hippocampus and greatly ameliorated diabetes-related damage in pancreas. In conclusion, the data suggested that ghrelin is an effective candidate as a protectant for reducing the adverse effects of diabetes.
RDL Kalıcı Kaydıİncele - CorrectionAçık Erişim2025Corrigendum to “Effect of ferritin, INR, and D-dimer immunological parameters levels as predictors of COVID-19 mortality: A strong prediction with the decision trees” [Heliyon Volume 9, Issue 3, March 2023, Article e14015] (Heliyon (2023) 9(3), (S2405844023012227), (10.1016/j.heliyon.2023.e14015))
Huyut, Mehmet Tahir; Huyut, Zübeyir
In the original published version of this article, the ethics committee approval number was missing in the Ethical approval section: Institutional Review Board Statement: The dataset used in this study was collected to be used in various studies in the estimation of the diagnosis, prognosis, and mortality of COVID-19. The necessary permissions for the collected dataset were given by the Ministry of Health of the Republic of Turkey and the Ethics Committee of Erzincan Binali Yıldırım University. This study was conducted following the 1989 Declaration of Helsinki. Erzincan Binali Yıldırım University Human Research Health and Sports Sciences Ethics Committee. This has now been added and the Ethics approval section revised to be more concise. The correct version can be found below: Institutional Review Board Statement: The dataset used in this study was collected to be used in various studies in the estimation of the diagnosis, prognosis, and mortality of COVID-19. The necessary permissions for the collected data set were obtained from the Ministry of Health of the Republic of Turkey. This study was approved by Erzincan Binali Yıldırım University Clinical Research Ethics Committee (31.03.2022, Report No: 03–09). The authors apologize for the errors. Both the HTML and PDF versions of the article have been updated to correct the errors.
RDL Kalıcı Kaydıİncele - CorrectionYalnız künye2025Corrigendum to: The Effect of Some Symptoms and Features During the Infection Period on the Level of Anxiety and Depression of Adults after Recovery from COVID-19 (Current Psychiatry Research and Reviews, 18, 2, (151-163), 10.2174/2666082218666220325105504)
Huyut, Mehmet Tahir; Kocatürk, İdris
The authors would like to acknowledge the oversight in omitting the ethical approval number in the article titled “The Effect of Some Symptoms and Features During the Infection Period on the Level of Anxiety and Depression of Adults after Recovery from COVID-19” published in Current Psychiatry Research and Reviews, 2022, 18(2), pp: 161 [1]. Details of the error and a correction are provided here. ETHICS APPROVAL AND CONSENT TO PARTICIPATE: The study protocol was approved by the Institutional Ethics Review Board of Erzincan Binali Yıldırım University after being approved by the Ministry of Health of the Republic of Turkey. HUMAN AND ANIMAL RIGHTS: No animals were used in this study. The procedure of the human experiments is in accordance with the Declaration of the Helsinki World Medical Association. ETHICS APPROVAL AND CONSENT TO PARTICIPATE: The study was approved by the Erzincan Binali Yıldırım University Human Research Health and Sports Sciences Ethics Committee (20/10/2021, Protocol No: 08-03) and the Ministry of Health of the Republic of Turkey. HUMAN AND ANIMAL RIGHTS: The reported experiments on humans were in accordance with the ethical standards of the committee responsible for human experimentation (institutional national), and with the Helsinki Declaration of 1989. We regret the error and apologize to readers. The original article can be found online at https://www.eurekaselect.com/article/121872
RDL Kalıcı Kaydıİncele - CorrectionYalnız künye2025Corrigendum to “What is the impact and efficacy of routine immunological, biochemical and hematological biomarkers as predictors of COVID-19 mortality?” [Int. Immunopharmacol. 105 (2022) 108542](S1567576923011463)(10.1016/j.intimp.2023.110821)
Huyut, Mehmet Tahir; Huyut, Zübeyir; Ilkbahar, Fatih; Mertoğlu, Cuma
The authors regretted writing the ethical approval number of the article incorrectly. This study was approved by Erzincan Binali Yıldırım University Non-Interventional Clinical Research Ethics Committee (Reference No: 28.05.2021, 13–15) The authors would like to apologize for any inconvenience caused.
RDL Kalıcı Kaydıİncele - ArticleAçık Erişim2025Identification of right ventricular dysfunction with LogNNet based diagnostic model: A comparative study with supervised ML algorithms
Huyut, Mehmet Tahir; Velichko, Andrei; Belyaev, Maksim; Izotov, Yuriy; Karaoğlanoğlu, Şebnem; Sertoğullarından, Bünyamin; Keskin, Sıddık; Korzun, Dmitry
Right ventricular dysfunction (RVD) is strongly associated with increased mortality in patients with acute pulmonary embolism (PE), making its early detection crucial. Identifying RVD risk factors rapidly, accurately, and economically within the acute PE population could significantly improve diagnosis and treatment, potentially reducing mortality rates. This study evaluates the performance of LogNNet and supervised machine learning (ML) models for diagnosing RVD using a repeated stratified hold-out validation procedure. An ensemble-based LogNNet model is proposed for practical application. The LogNNet model identified gender, coronary artery disease, Comorbid Disease (especially hypertension), age (above 74-years), Thrombus segment and un/bilateral Thrombus as the most significant predictors for RVD diagnosis. Additionally, combinations of these features demonstrated high predictive power. LogNNet achieved robust results with only a few selected features, making it suitable for applications in resource-limited environments. LogNNet provides a practical and accessible tool for early RVD detection using PE patient data and has been shown to support applications in healthcare innovations aimed at improving patient outcomes and resilience in edge devices, clinical decision support systems, and challenging environments. Furthermore, these findings could be used as promising applications by integrating with advances in digital health and human health monitoring systems, such as bionic clothing and smart sensor networks.
RDL Kalıcı Kaydıİncele - CorrectionAçık Erişim2025Corrigendum to “LogNNet model as a fast, simple and economical AI instrument in the diagnosis and prognosis of COVID-19” [MethodsX 10 (2023) 102194] (MethodsX (2023) 10, (S2215016123001942), (10.1016/j.mex.2023.102194))
Huyut, Mehmet Tahir; Velichko, Andrei
The authors regret that they forgot to write the ethical approval number of the article. This study was approved by Erzincan Binali Yıldırım University Non-Interventional Clinical Research Ethics Committee (Reference No: 27.05.2022, 11-14) The authors would like to apologize for any inconvenience caused.
RDL Kalıcı Kaydıİncele - CorrectionYalnız künye2025Corrigendum to “Alleviation of LPS-induced acute lung injury by propolis-based nanocomposites through the TLR4/NFKB and P2X7/AKT pathways: Randomized-controlled experimental study” [Toxicon Volume 258, April 2025, 108330] (Toxicon (2025) 258, (S0041010125001047), (10.1016/j.toxicon.2025.108330))
Üstündağ, Hilal; Kara, Adem; Taş, Necip Gökhan; Kalindemirtaş, Ferdane Danişman; Kurt, Nezahat; Erbaş, Elif; Huyut, Mehmet Tahir; Gül, Mustafa; Kari̇per, İshak Afşin
The authors regret < The authors regret that there was an error in the funding information. The incorrect funding information reads: “This study was supported by the Scientific Research Projects Coordination Unit of Erzincan Binali Yıldırım University, under Project Code TSA-2022-854.” The correct funding information should be: "This study was supported by the Scientific Research Projects Coordination Unit of Erzincan Binali Yıldırım University, under Project Code TSA-2023-929.">. The authors would like to apologise for any inconvenience caused.
RDL Kalıcı Kaydıİncele - CorrectionAçık Erişim2025Author Correction: Identification of right ventricular dysfunction with LogNNet based diagnostic model: A comparative study with supervised ML algorithms (Scientific Reports, (2025), 15, 1, (25262), 10.1038/s41598-025-00274-1)
Huyut, Mehmet Tahir; Velichko, Andrei; Belyaev, Maksim; Izotov, Yuriy; Karaoğlanoğlu, Şebnem; Sertoğullarından, Bünyamin; Keskin, Sıddık; Korzun, Dmitry
Correction to: Scientific Reportshttps://doi.org/10.1038/s41598-025-00274-1, published online 12 July 2025 The original version of this Article contained an error in the ‘Institutional Review Board Statement’. It now reads: “This study was approved by Erzincan Binali Yıldırım University Non-Interventional Clinical Research Ethics Committee (Meeting No: 1, Decision No: 2025-01/05).” The original Article has been corrected.
RDL Kalıcı Kaydıİncele - ArticleAçık Erişim2024The Relationship Between Fear of Death and Healthy Lifestyle Behaviors in Individuals Having Percutaneous Coronary Intervention
Göktaş, Ahmet; Önen, Cihan; Huyut, Mehmet Tahir; Okutan, Şerafettin
Objective: The study aims to investigate the relationship between fear of death and healthy lifestyle behaviors in individuals undergoing percutaneous coronary intervention. Materials and Methods: The sample number was determined to be 109. The study was carried out in the angiography unit and cardiology clinics of a hospital. Data were collected using the Thorson-Powell Death Anxiety and Healthy Lifestyle Behaviors II Scales. Results: The patients' death anxiety scale score was 55.17±11.52 and their healthy lifestyle behavior scale score was 123.51±14.56. A negative relationship (r = -0.683, p = 0.003) was found between death anxiety and healthy lifestyle behavior scales. As death anxiety increased, healthy lifestyle behaviors decreased. A negative correlation was found between death anxiety level and physical activity (r = -0.720, p=0.002). As physical activity decreased, death anxiety level increased. Conclusions: In order for patients to experience less death anxiety, the importance of a healthy lifestyle, such as diet, exercise, spiritual development, stress management, and a healthy social life, should be known. Healthy lifestyle education programs should be applied to patients. To ensure permanence, patients should be supported with visuals and brochures, and training should be repeated.
RDL Kalıcı Kaydıİncele - ArticleAçık Erişim2024A Novel Indicator for Erectile Dysfunction: S100A4
Demir, Murat; Huyut, Zübeyir; Huyut, Mehmet Tahir; Ertaş, Kasım; Aslan, Rahmi; Eryılmaz, Recep; Körpe, Kadir; Kotan, Muhammed; Taken, Kerem
This study aimed whether S100A4 would be useful in predicting Erectile Dysfunction (ED) and ED severity. This prospective study included 88 male volunteers aged 18-80 years. The control group consisted of 44 healthy patients and the diabetic group consisted of 44 patients with type-2 diabetes (T2DM). Age, body mass index, smoking status, hypertension status, International Index of Erectile Function 1-5 scores of all the volunteers were evaluated, and also glucose, HbA1c, cholesterol, testosterone, prolactin and S100A4 levels were measured in the serum samples. The relationships between S100A4 and erectile functions were investigated with appropriate statistical analyzes. The mean age of the T2DM group was 51.98 ±10.91 years, while the control group’s mean age was 53.77 ±12.46 years and there was no significant difference between them (p=0.31). Glucose, HbA1c, mean ED severity and S100A4 levels in the T2DM group were higher than in the control group, while testosterone level was lower than in the control (p≤0.05). In addition, it was found that S100A4 levels increased due to the increase in ED severity in both groups (p<0.001). In addition to ED severity, smoking and hypertension were seen as the factors that most affected S100A4. The results indicated that S100A4 may be a useful biomarker in determining ED and ED severity.
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