Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Cakir, Mehmet(5)
- Ceylan, Halil İbrahim(4)
- Dhahbi, Wissem(4)
- Engin, Mustafa Alptekin(4)
- Yayla, İbrahim Erdoğan(4)
- Ceylan, Nagihan Burçak(3)
- Dertli, Enes(3)
- Dombak, Kübra(3)
- Kaban, Güzin(3)
- Kaya, Mükerrem(3)
- Kul, Murat(3)
- Muntean, Raul Ioan(3)
- Çelik, Eyüp(3)
- İspirli, Hümeyra(3)
- Akyol Özcan, Kübra(2)
- Ay, Mustafa Ertan(2)
- Aydogan, Beytullah(2)
- Boz, Emre(2)
- Chou, Kevin(2)
- Dayi, Faruk(2)
- Erdal, Mehmet Emin(2)
- Erdogdu, Aylin(2)
- Esmer, Yusuf(2)
- Ganji, Farshad(2)
- Karakaş, Ümit(2)
- Kırkbir, Fatih(2)
- Makas, Samet(2)
- Sayın, Bilge(2)
- Souissi, Nizar(2)
- Tombak, Anıl(2)
- Yildiz, Ferah(2)
- Yılmaz, Özlem(2)
- Çevik, Kenan(2)
- Ada Yildiz, Kübra(1)
- Adatepe, Eda(1)
- Adhadhi, Nessrine(1)
- Akeren, İhsan(1)
- Aksungur, Nurhak(1)
- Akçay, Enes(1)
- Alaya, Wiem Ben(1)
Yayınlar
- MakaleAçık Erişim2026Scopus SJRQ2Dual-Band Electromagnetic Shielding of Concrete Block Walls Using Concentric Double Square-Ring Frequency-Selective Surfaces near the n78 and n79 5G Frequency Regions
Cakir, Mehmet
Featured Application: This study demonstrates a concrete-integrated dual-band frequency-selective shielding approach for selectively attenuating the main sub-6 GHz 5G n78 and n79 frequency regions in building walls without increasing wall thickness or altering conventional concrete block geometry. This paper presents a dual-band shielding approach in which two concentric square rings, fabricated on a single 0.2 mm copper sheet, are embedded in the mortar joint of prefabricated concrete blocks. The outer ring targets n78 (design center 3.5 GHz) and the inner ring targets n79 (design center 4.7 GHz). Both rings are dimensioned from the effective wavelength inside the concrete medium (εr = 5.0): the outer ring has an outer side of 9.93 mm and the inner ring an outer side of 7.43 mm, with a 180° gap offset between the two elements to suppress inter-ring coupling. CST Microwave Studio simulations predicted two shielding peaks of 37.2 dB at 3.48 GHz and 35.8 dB at 4.72 GHz, with −10 dB bandwidths of 580 MHz and 490 MHz, respectively. Computer numerical control (CNC)-milled copper panels cast into ordinary Portland cement (OPC) concrete blocks achieved measured peak SE of 34.9 dB (n78) and 33.4 dB (n79), with bandwidths of 510 MHz and 420 MHz. The 2.3–2.4 dB shortfall relative to simulation is attributed to coupling-gap drift during milling and spacer-induced surface voids. A permittivity sweep from εr = 4.5 to 6.0 showed that peak SE remains above 30 dB throughout.
- MakaleAçık Erişim2026Scopus SJRQ2Bioinspired Sternal Implant Design for Generic Anatomical Reconstruction: An In Silico Framework for Material Selection and Biomechanical Validation
Kutbay, Işıl; Gerdan, Zeynep; Çolak, Murat; Tabak, Yasemin; Şensoy, Abdullah Tahir
The sternum protects the intrathoracic organs and contributes to chest wall mechanics, which makes reconstruction after tumor resection, trauma, or infection a demanding biomechanical problem. This study presents an in silico workflow for preselecting materials for sternal implants before physical prototyping. After a virtual resection, an anatomically conformal implant was designed and candidate biomaterials were screened in CES Selector using density, elastic modulus, fatigue strength, fracture toughness, toxicity, medical grade suitability, and MRI safety. A representative subset of the screened candidates was then compared by finite element modeling in terms of stress transfer and deformation. Seventeen candidates met the screening criteria. Ti-13Nb-13Zr showed an elastic modulus of about 80 GPa, and the titanium-based candidates showed deformation values of about 0.96 to 1.03 mm, whereas GF PEEK reached about 1.74 mm. The stress shielding index also showed that titanium-based materials remained on the implant-dominant side, while polymer-based materials shifted stress transfer toward bone. Taken together, the findings suggest that Ti-13Nb-13Zr offers the best overall balance for load-bearing sternal reconstruction, whereas PEEK-based systems may be more suitable within the present model for hybrid or adjunct designs. The proposed workflow can support early implant planning and guide future experimental and clinical studies.
- MakaleAçık Erişim2026Scopus SJRQ2Deep Learning-Based Classification of Common Lung Sounds via Auto-Detected Respiratory Cycles
Engin, Mustafa Alptekin; Uzun Arslan, Rukiye; Senyer Yapici, İrem; Aras, Selim; Gangal, Ali
Chronic respiratory diseases, the third leading cause of mortality on a global scale, can be diagnosed at an early stage through non-invasive auscultation. However, effective manual differentiation of lung sounds (LSs) requires not only sharp auditory skills but also significant clinical experience. With technological advancements, artificial intelligence (AI) has demonstrated the capability to distinguish LSs with accuracy comparable to or surpassing that of human experts. This study broadly compares the methods used in AI-based LSs classification. Firstly, respiratory cycles—consisting of inhalation and exhalation parts in LSs of different lengths depending on individual variability, obtained and labelled under expert guidance—were automatically detected using a series of signal processing procedures and a database was obtained in this way. This database of common LSs was then classified using various time-frequency representations such as spectrograms, scalograms, Mel-spectrograms and gammatonegrams for comparison. The utilisation of proven, convolutional neural network (CNN)-based pre-trained models through the application of transfer learning facilitated the comparison, thereby enabling the acquisition of the features to be employed in the classification process. The performances of CNN, CNN and Long Short-Term Memory (LSTM) hybrid architecture and support vector machine methods were compared in the classification process. When the spectral structure of gammatonegrams, which capture the spectral structure of signals in the low-frequency range with high fidelity and their noise-resistant structures, is combined with a CNN architecture, the best classification accuracy of 97.3% ± 1.9 is obtained.
AtıfScopus2WoS2OpenAlex2
İncele - MakaleAçık Erişim2026Scopus SJRQ1Progressive Smartphone Restriction Combined with Psychoeducational Guidance and Pre-Sleep Autonomic Regulation Improves Sleep Efficiency and Time-of-Day Cognitive Performance in Physically Active Students with Nomophobia: A Randomized Controlled Trial
Alaya, Wiem Ben; Dhahbi, Wissem; Souissi, Mohamed Abdelkader; Jebabli, Nidhal; Ceylan, Halil İbrahim; Ceylan, Nagihan Burçak; Muntean, Raul Ioan; Souissi, Nizar
Aim: This study compared the effects of standard evening smartphone restriction with an adapted intervention combining progressive restriction, psychoeducational guidance, and pre-sleep relaxation on sleep, psychological state, cognitive performance, and physical performance in physically active physical education students with moderate-to-high nomophobia. Methods: Thirty participants (age 21.9 ± 1.2 years; intermediate chronotype) completed a randomized controlled trial consisting of a 7-day baseline period, a 14-day intervention phase, and post-intervention assessments. The standard group (n = 15) implemented a 2-h pre-bedtime smartphone restriction combined with general sleep hygiene guidance. The adapted group (n = 15) followed a progressive restriction protocol (30→60→120 min) supplemented with psychoeducational guidance targeting smartphone-related anxiety and a nightly slow-paced breathing routine. Objective sleep parameters were quantified using wrist-worn actigraphy. Subjective sleep quality, pre-sleep anxiety, and stress were assessed using visual analog scales. Cognitive performance (psychomotor vigilance task and choice reaction time) and physical performance (vertical jumps and agility) were evaluated at both morning and afternoon time points. Results: The adapted intervention produced significantly greater improvements in sleep efficiency (time × group: F(1,28) = 6.84, p = 0.014, ηp2 = 0.20; d = 0.78) and sleep onset latency (F(1,28) = 5.97, p = 0.021, ηp2 = 0.18; d = 0.72) compared with standard restriction. Significant reductions were also observed in pre-sleep anxiety (F(1,28) = 7.12, p = 0.012, ηp2 = 0.20; d = 0.81) and stress (F(1,28) = 6.45, p = 0.017, ηp2 = 0.19; d = 0.74). Cognitive performance showed significant time × group × time-of-day interactions, with improvements during afternoon assessments in psychomotor vigilance (F(1,28) = 7.48, p = 0.011; d = 0.83) and choice reaction time (F(1,28) = 6.89, p = 0.014; d = 0.79) exclusively in the adapted group. Physical performance outcomes remained stable across interventions. Conclusions: Progressive smartphone restriction combined with psychoeducational strategies and pre-sleep relaxation yields clinically meaningful improvements in sleep continuity, psychological arousal, and afternoon cognitive performance, exceeding the benefits achieved through behavioral restriction alone.
AtıfScopus1WoS1OpenAlex2İncele - MakaleAçık Erişim2026Scopus SJRQ1Influence of Salt Type on the Physicochemical, Microbiological, Sensory Properties, Mineral, Free Fatty Acid, and Volatile Composition of PDO Erzincan Tulum Cheese
Arslaner, Ayla; Yılmaz, Özlem
This study evaluated the quality attributes of Protected Designation of Origin (PDO) Erzincan Tulum cheese by comparing control cheeses made with Kemah spring salt (KS) to those made with Sivas spring salt (SS), Çankırı rock salt (CS), and a low-sodium salt (rock salt–KCl blend, 50:50, LNaS). Cheeses were ripened at −2 to 0 °C for 120 days. Analyses included chemical composition, mineral profile, proteolysis, lipolysis, fatty acid composition, volatile compounds, and sensory properties. During ripening, dry matter and pH increased significantly (p < 0.05). Mineral content varied by salt type: LNaS had higher potassium and lower sodium, KS-C had the highest sodium and phosphorus, and SS-C the highest magnesium (p < 0.05). Proteolysis increased in all samples, with the highest levels in LNaS (p < 0.05). Lipolysis increased in all samples (p < 0.05), with CS-C showing the highest free fatty acid (FFA) content. Fifty volatile compounds were identified; carbonyl compounds were highest in LNaS-C and esters were highest in SS-C. Sensory evaluation showed that CS-C had the highest overall acceptability score and SS-C the lowest (p < 0.05). CS-C outperformed the control in sensory quality, and LNaS-C achieved similar sensory acceptance without compromising quality. Salt content and type were identified as critical factors in determining the authenticity of PDO Erzincan Tulum cheese.
AtıfWoS1OpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ1Psychological Needs and Problematic Social Media Use in Adolescents: A Gender-Moderated Mediation via Sensation Seeking and Cognitive Flexibility
Dombak, Kübra; Yayla, İbrahim Erdoğan; Makas, Samet; Çelik, Eyüp; Sahranç, Ümit; Kaya, Mehmet
Background: The purpose of this study is to examine the mediating roles of cognitive flexibility and sensation seeking in the relationship between basic psychological needs and problematic social media use. Furthermore, the moderating effect of gender on indirect effects has been examined. Method: The sample of the study consisted of 838 Turkish adolescents aged between 14 and 18 (46.2% female; Mean = 15.6, SD = 1.71). Participants completed the Bergen Social Media Addiction Scale, the Basic Psychological Needs Scale, the Cognitive Flexibility Scale, and the Brief Sensation Seeking Scale. Data were analyzed using structural equation modeling (SEM) with the AMOS 26.0 program. Results: A significant relationship was found between basic psychological needs and problematic social media use (r = 0.43, p < 0.001). Both cognitive flexibility and sensation seeking partially mediated this relationship in girls (β = −0.23, p < 0.001), while fully mediating it in boys (β = 0.03, p = 0.675). Conclusions: The findings suggest that problematic social media use in adolescents may be associated with cognitive flexibility and increased sensation-seeking tendencies stemming from unmet psychological needs, and that gender plays an important role in this relationship.
AtıfScopus4WoS3OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ1The Effect of Self-Regulation on the Need for Psychological Help Through Happiness, Resilience, Problem Solving, Self-Efficacy, and Adjustment: A Parallel Mediation Study in Adolescent Groups
Akeren, İhsan; Çelik, Eyüp; Yayla, İbrahim Erdoğan; Özgöl, Mustafa
Introduction: Adolescence is a developmental period in which the risk of mental problems is high. Failure to resolve the problems encountered during this period may result in the need for psychological help. Based on the literature review, this study aimed to examine self-regulation, which has the potential to reduce adolescents’ need for psychological help, and the mediation of happiness, resilience, problem solving, self-efficacy, and adjustment through this skill. Methods: In the cross-sectional correlational survey design study, 1013 adolescents (542 girls, 471 boys, mean age: 15.04 ± 1.75 years) aged 12–19 years and studying in middle and high school in Bayburt, Turkey were reached. Seven different questionnaires, valid and reliable in adolescent groups, were used to measure the study variables. Results: Correlation results showed that all predictors were positively correlated with each other and negatively correlated with the dependent variable, the need for psychological help. After testing the assumptions, the results of the parallel mediation analysis showed that happiness, problem solving, self-efficacy, and adjustment fully mediated the effect of self-regulation on the need for psychological help. Another finding is that resilience is not a predictor of psychological distress. Conclusions: The results are important because they provide insight for those working in the field of adolescent mental health in terms of understanding the factors through which self-regulation reduces the need for psychological help.
AtıfScopus10WoS9OpenAlex12İncele - MakaleAçık Erişim2025Scopus SJRQ1Disrupted miRNA Biogenesis Machinery Reveals Common Molecular Pathways and Diagnostic Potential in MDS and AML
Çevik, Kenan; Ay, Mustafa Ertan; Tombak, Anıl; Ay, Özlem İzci; Karakaş, Ümit; Erdal, Mehmet Emin
Background: Myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML) are clonal stem cell disorders in which disrupted post-transcriptional regulation contributes to aberrant hematopoiesis and leukemic transformation. The miRNA biogenesis machinery, which comprises Drosha, DGCR8, Dicer, TARBP2, and AGO1, ensures the precise maturation of miRNAs that control lineage commitment and proliferation. However, the extent to which alterations in this pathway reshape hematopoietic gene networks during myeloid disease evolution remains largely unexplored. Methods: Bone marrow samples from newly diagnosed, untreated MDS and AML patients and matched healthy controls were analyzed for the expression of five key miRNA biogenesis genes using quantitative real-time PCR. Statistical comparisons, correlation matrices, and ROC analyses were performed to characterize gene-expression differences. These results were integrated with multigene logistic modeling, decision-curve analysis, and exploratory random forest/SHAP approaches to evaluate molecular interactions and diagnostic relevance. Results: DROSHA, DICER1, and TARBP2 were significantly downregulated in both MDS and AML, suggesting impaired miRNA maturation and a loss of global post-transcriptional control. DGCR8 expression increased across higher-risk MDS groups, suggesting compensatory activation of the Microprocessor complex, whereas AGO1 levels remained relatively stable, consistent with partial maintenance of RISC function. Correlation analyses revealed a co-regulated DROSHA–TARBP2–AGO1 module. ROC, logistic, and machine learning models identified DGCR8 and DICER1 as the strongest diagnostic discriminators. The integrated five-gene signature achieved high discriminative performance (AUC ≈ 0.98) and showed promise but remains preliminary potential for clinical application. Conclusions: Our findings suggest that defects in miRNA biogenesis disrupt hematopoietic homeostasis, reflecting common mechanisms in MDS and AML. The dysregulation of DICER1, DGCR8, and TARBP2 offers insights into miRNA-driven leukemogenesis and may pave the way for miRNA-based diagnostic and therapeutic strategies, pending validation in larger cohorts. Although transcript-level data are provided, future studies should include functional validation to determine the impact on downstream miRNA processing and hematopoietic pathways.
- MakaleAçık Erişim2025Scopus SJRQ2Microstructure and Mechanical Properties Change of Al7SiMgxEr (x: 0.03–0.1)
Colak, Murat; Muhammed, Enes Aydin; Turkmen, Mustafa; Dispinar, Derya
Aluminum and its alloys are widely used in many fields, such as automotive, aerospace, and defense industries, due to their many advantages. Due to such critical applications, the quality demands are also increasing. With the recent development in technologies, studies on casting of aluminum with different alloying element additions are ongoing rapidly. Various elements are added to the alloy to provide the desired properties. In this study, the effects of 0.03, 0.06, and 0.1 wt% Er addition to A356 aluminum alloy were evaluated simply because in the literature, only 0.1 wt% and above additions were studied. Samples were prepared using permanent molds and subjected to mechanical testing and microstructural characterization. Changes in the microstructure (evaluated via SDAS and SDAL) and mechanical properties of the cast specimens were analyzed. The results showed that Er addition improved tensile strength by up to 30%, increased elongation fourfold, and enhanced toughness by a factor of 4.5.
- MakaleAçık Erişim2025Scopus SJRQ1Genotypic and Technological Characterization of Lactic Acid Bacteria and Coagulase-Negative Staphylococci Isolated from Sucuk: A Preliminary Screening of Potential Starter Cultures
Kaya, Mükerrem; Sayın, Bilge; Topçu, Kübra Çinar; Karadayı, Mehmet; Kamiloğlu, Aybike; Güllüce, Medine; Kaban, Güzin
This study aimed to characterize lactic acid bacteria (LAB) and coagulase-negative staphylococci (CoNS) isolated from traditionally produced sucuk for their potential use in starter culture development and food safety applications in fermented meat products. A total of 145 isolates (95 LAB and 50 CoNS) were analyzed through genetic identification, phylogenetic analysis, and assessments of technological properties. Antagonistic activity against Listeria monocytogenes and Staphylococcus aureus was also evaluated, along with antibiotic sensitivity. Among LAB, Lactiplantibacillus plantarum was the most prevalent species (60 isolates), while Staphylococcus xylosus was the predominant CoNS species (24 isolates). The isolates exhibited diverse technological properties and varying levels of antagonistic activity against the tested pathogens. Antibiotic sensitivity tests indicated that 15 selected isolates were negative for antibiotic resistance genes. Overall, this comprehensive characterization provides valuable insights for the development of starter cultures and for enhancing food safety in fermented meat products.
AtıfScopus4WoS4OpenAlex2İncele - MakaleYayıncıda açık erişim2025Scopus SJRQ1Effects of Autochthonous Starter Cultures on the Quality Characteristics of Traditionally Produced Sucuk
Kaya, Mükerrem; Sayın, Bilge; Çinar Topçu, Kübra; Kaban, Güzin
This study aimed to evaluate the impact of autochthonous strains (Pediococcus pentosaceus 128b, Latilactobacillus sakei S15, Lactiplantibacillus plantarum S91, L. plantarum S24 and Staphylococcus carnosus G109) used as mono and mixed starter cultures on the quality attributes of traditionally produced sucuk, a Turkish dry fermented sausage, in a local small-scale facility. At the end of ripening, samples underwent comprehensive microbiological and physicochemical analyses. The use of autochthonous starter cultures (ASC) showed no statistically significant influence on thiobarbituric acid-reactive substances and water activity value. Lower pH values were observed in groups with autochthonous lactic acid bacteria strains (ALABS) compared to the control group. However, ALABS inhibited Micrococcus/Staphylococcus growth by rapidly lowering the pH, except in the groups with S. carnosus G109. The use of ASC led to an increase in the L* values of sucuk samples, except monoculture L. plantarum S91. The correlation heat map illustrating the relationships between the starter cultures and volatile compounds revealed that all groups containing L. plantarum S91 exhibit a volatile compound profile different from other single or mixed cultures. According to the results of the principal component analysis performed to determine the relationship between the chemical groups of the starter cultures and volatile compounds, the groups containing L. plantarum S91 differed from the other groups and showed positive correlations with phenols, furans, acids, terpenes, aromatic hydrocarbons, ketones, nitrogenous compounds, esters, and aliphatic hydrocarbons.
AtıfScopus4WoS4OpenAlex4İncele - MakaleAçık Erişim2025Scopus SJRQ2Development of a Clinical Decision Support System Using Artificial Intelligence Methods for Liver Transplant Centers
Yağanoğlu, Mete; Öztürk, Gürkan; Bozkurt, Ferhat; Bilen, Zeynep; Yetiş Demir, Zühal; Kul, Sinan; Şimşek, Emrah; Kara, Salih; Eygu, Hakan; Altundaş, Necip
The objective of this study is to utilize artificial intelligence techniques for the diagnosis of complications and diseases that may arise after liver transplantation, as well as for the identification of patients in need of transplantation. To achieve this, an interface was developed to collect patient information from Atatürk University Research Hospital, specifically focusing on individuals who have undergone liver transplantation. The collected data were subsequently entered into a comprehensive database. Additionally, relevant patient information was obtained through the hospital’s information processing system, which was used to create a data pool. The classification of data was based on four dependent variables, namely, the presence or absence of death (“exitus”), recurrence location, tumor recurrence, and cause of death. Techniques such as Principal Component Analysis and Linear Discriminant Analysis (LDA) were employed to enhance the performance of the models. Among the various methods employed, the LDA method consistently yielded superior results in terms of accuracy during k-fold cross-validation. Following k-fold cross-validation, the model achieved the highest accuracy of 98% for the dependent variable “exitus”. For the dependent variable “recurrence location”, the highest accuracy obtained after k-fold cross-validation was 91%. Furthermore, the highest accuracy of 99% was achieved for both the dependent variables “tumor recurrence” and “cause of death” after k-fold cross-validation.
AtıfScopus2WoS2OpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ1Difficulties in Emotion Regulation as a Mediator and Gender as a Moderator in the Relationship Between Problematic Digital Gaming and Life Satisfaction Among Adolescents
Yayla, İbrahim Erdoğan; Dombak, Kübra; Diril, Sena; Düşünceli, Betül; Çelik, Eyüp; Yildirim, Murat
Background: Problematic digital gaming has emerged as a significant behavioral concern among adolescents, with potential implications for well-being. Understanding the mechanisms through which problematic digital gaming affects life satisfaction and how these mechanisms may differ by gender is important for targeted interventions. Aims: This study aimed to investigate the mediating role of difficulties in emotion regulation and the moderating role of gender in the relationship between problematic digital gaming and life satisfaction among adolescents. Method: The sample consisted of 458 Turkish adolescents (232 females, 50.7%) aged between 14 and 18 years (M = 16.27). Participants completed the Game Addiction Scale for Adolescents—Short Form, the Life Satisfaction Scale, and the Difficulties in Emotion Regulation Scale—8. Results: Problematic digital gaming was found to have a significant negative association with life satisfaction. Difficulties in emotion regulation significantly mediated the relationship between problematic digital gaming and life satisfaction. Furthermore, gender moderated this mediation effect, with difficulties in emotion regulation being more pronounced among males than females. Conclusions: The findings highlight the importance of emotional regulation in understanding the negative impact of problematic digital gaming on adolescents’ life satisfaction, particularly among males. These results suggest the need for gender-sensitive approaches in interventions aimed at improving emotion regulation skills and reducing problematic gaming behavior.
AtıfScopus6WoS7OpenAlex9İncele - MakaleAçık Erişim2025Scopus SJRQ1Casein Supplementation Timing and Exercise Performance in Soccer Players: Pre-Sleep vs. Post-Exercise Intake—A Randomized Controlled Trial
Bayrakdaroğlu, Serdar; Ateş, Zeynep Hazal; Ceylan, Halil İbrahim; Kul, Murat; Muntean, Raul Ioan; Dhahbi, Wissem
Background: Nutrient timing strategies may influence recovery and performance in athletes; however, the effects of ingesting casein protein before sleep versus immediately after exercise remain unclear. This study compared the acute effects of pre-sleep and post-exercise ingestion of casein on high-intensity anaerobic performance in highly trained soccer players. Methods: Twenty-four highly trained male soccer players (mean age: 20.6 ± 1.8 years) were randomly assigned to three groups: post-exercise casein ingestion group (PECIG; n = 8), pre-sleep casein ingestion group (PSCIG; n = 8), and control group (CG; n = 8). Following a standardized high-intensity resistance training protocol, participants consumed 30 g of micellar casein dissolved in 300 mL of water either immediately after exercise or 30–60 min before bedtime. Performance was assessed using the Countermovement Jump (CMJ), the Illinois Agility Test (IAT), and the Running-based Anaerobic Sprint Test (RAST), which were conducted both before and 24 h after the training session. Results: Repeated-measures ANOVA revealed significant group-by-time effects for CMJ (F = 8.21, p = 0.002, η2p = 0.36) and RAST performance variables, including peak power (F = 6.94, p = 0.003, η2p = 0.32), mean power (F = 7.42, p = 0.002, η2p = 0.34), and fatigue index (F = 5.87, p = 0.008, η2p = 0.28). Post hoc analyses showed that PSCIG significantly improved CMJ (Δ = +1.45 cm; p < 0.001, d = 2.04) and RAST mean power (Δ = +125.14 W; p = 0.002, d = 1.55) compared with the control condition. PECIG significantly enhanced RAST peak power (Δ = +205.79 W; p = 0.001, d = 1.64), mean power (Δ = +128.43 W; p = 0.013, d = 1.24), and fatigue index (Δ = +4.12 W/s; p = 0.010, d = 1.29) relative to CG. No performance differences were observed between PSCIG and PECIG timing conditions (all p > 0.05). Conclusions: Both pre-sleep and post-exercise casein ingestion enhanced anaerobic performance in highly trained soccer players, with each timing method favoring different performance outcomes. However, neither strategy demonstrated superiority over the other, suggesting that casein timing may be flexibly applied according to athletes’ preferences and training contexts.
AtıfScopus1WoS1İncele - Derleme MakaleAçık Erişim2025Scopus SJRQ1Understanding the Functionality of Probiotics on the Edge of Artificial Intelligence (AI) Era
Asar, Remziye; Erenler, Sinem; Devecioglu, Dilara; Ispirli, Humeyra; Karbancioglu-Guler, Funda; Ozturk, Hale Inci; Dertli, Enes
This review focuses on the potential utilization of artificial intelligence (AI) tools to deepen our understanding of probiotics, their mode of action, and technological characteristics such as survival. To that end, this review provides an overview of the current knowledge on probiotics as well as next-generation probiotics. AI-aided omics technologies, including genomics, transcriptomics, and proteomics, offer new insights into the genetic and functional properties of probiotics. Furthermore, AI can be used to elucidate key probiotic activities such as microbiota modulation, metabolite production, and immune system interactions to enable an improved understanding of their health impacts. Additionally, AI technologies facilitate precision in identifying probiotic health impacts, including their role in gut health, anticancer activity, and antiaging effects. Beyond health applications, AI can expand the technological use of probiotics, optimizing storage survival and broadening biotechnological approaches. In this context, this review addresses how AI-driven approaches can be facilitated by strengthening the evaluation of probiotic characteristics, explaining their mechanisms of action, and enhancing their technological applications. Moreover, the potential of AI to enhance the precision of probiotic health impact assessments and optimize industrial applications is highlighted, concluding with future perspectives on the transformative role of AI in probiotic research.
AtıfScopus41WoS32OpenAlex36İncele - MakaleAçık Erişim2025Scopus SJRQ1Validity and Reliability of a Novel AI-Based System in Athletic Performance Assessment: The Case of DeepSport †
Aydemir, Burakhan; Aydoğan, Muhammed Talha; Boz, Emre; Kul, Murat; Kırkbir, Fatih; Özkara, Abdullah Bora
This study aimed to examine the validity and reliability of the AI-based DeepSport application by comparing its outcomes with those from the reference device, OptoJump. The primary dependent variables measured were jump height and anaerobic power during vertical jump assessments. Twelve elite male basketball players voluntarily participated in the study (age = 21.53 ± 1.14 years; sports experience = 6.47 ± 1.01 years). DeepSport uses AI-based image processing from standard cameras, while OptoJump uses optical sensor technology. Both DeepSport and OptoJump systems were utilized to assess participants’ Countermovement Jump (CMJ) and Squat Jump (SJ) performances. A G*Power (version 3.1.9.7) analysis determined the required sample size, adopting a 95% confidence level, 90% test power, and an effect size of 0.25. Validity assessments were conducted using Bland-Altman plots and ordinary least products (OLP) regression analysis, while reliability was evaluated through intraclass correlation coefficient (ICC), coefficient of variation (CV), standard error of measurement (SEM), and smallest detectable change (SDC) analyses. DeepSport showed excellent reliability in CMJ and SJ tests with ICC values > 0.90, and CV ranged between 2.12% and 4.95%. Results were consistent with OptoJump, showing no significant differences according to t-test results (p > 0.05). Bland–Altman analyses indicated no systematic bias and random distribution. These findings confirm that both DeepSport and OptoJump devices demonstrate high reliability and consistency, suggesting their validity and reliability for use in athlete performance assessments by coaches and athletes.
AtıfScopus4WoS3OpenAlex5İncele - MakaleAçık Erişim2025Scopus SJRQ1ChatGPT in Early Childhood Science Education: Can It Offer Innovative Effective Solutions to Overcome Challenges?
Uğraş, Mustafa; Çakır, Zehra; Zacharis, Georgios; Kalogiannakis, Michail
This study explores the potential of ChatGPT to address challenges in Early Childhood Science Education (ECSE) from the perspective of educators. A qualitative case study was conducted with 33 Early Childhood Education (ECE) teachers in Türkiye, using semi-structured interviews. Data were analyzed through content analysis with MAXQDA 24 software. The results indicate that ECE teachers perceive ChatGPT as a partial solution to the scarcity of educational resources, appreciating its ability to propose alternative material uses and creative activity ideas. Participants also recognized its potential to support differentiated instruction by suggesting activities tailored to children’s developmental needs. Furthermore, ChatGPT was seen as a useful tool for generating lesson plans and activity options, although concerns were expressed that overreliance on the tool might undermine teachers’ pedagogical skills. Additional limitations highlighted include dependence on technology, restricted access to digital tools, diminished interpersonal interactions, risks of misinformation, and ethical concerns. Overall, while educators acknowledged ChatGPT’s usefulness in supporting ECSE, they emphasized that its integration into teaching practice should be cautious and balanced, considering both its educational benefits and its limitations.
AtıfScopus7WoS2OpenAlex8İncele - MakaleAçık Erişim2025Scopus SJRQ1Moderated Mediation in Problematic Digital Gaming Among Adolescents: Self-Esteem, Social Anxiety, Self-Concealment, and Sensation Seeking
Yayla, İbrahim Erdoğan; Makas, Samet; Koçak, Lokman; Yıldırım, Murat; Dombak, Kübra
Background: Problematic digital gaming among adolescents is a common behavioral issue that has negative consequences on school functioning and mental health. Theoretically, it is predicted that low self-esteem paves the way for problematic gaming by increasing social anxiety and self-concealment; this indirect pathway may be stronger in sensation seeking adolescents. Aims: The aim of this study is to examine the relationship between self-esteem and problematic digital gaming among adolescents, first through the PROCESS Model 6 in terms of social anxiety and self-concealment as mediators, and subsequently through Model 89 in terms of moderated mediation by sensation seeking. Method: The sample consisted of 448 Turkish adolescents (243 (54.2%) males, 205 (45.8%) females) aged between 13 and 18 years (M = 15.9). Participants completed the Game Addiction Scale for Adolescents—Short Form, Rosenberg Self-Esteem Scale, Self-Concealment Scale, Brief Sensation Seeking Scale and the Social Anxiety Scale-8. Results: A significant negative relationship was found between self-esteem and problematic digital gaming. Social anxiety and self-concealment fully mediated this relationship (indirect effects were significant). Sensation seeking conditioned the mediation by strengthening pathways to problematic digital gaming (moderated mediation was significant). The indirect effect was greater in those with high sensation seeking. Conclusions: The findings indicate that the negative effect, ranging from self-esteem to problematic digital gaming, progresses through social anxiety and self-concealment, and that this mediation is strengthened in adolescents with high sensation seeking. These results emphasize the need to integrate social anxiety reduction and self-expression skills into interventions in a target-sensitive manner, taking into account differences in sensation seeking.
AtıfScopus2WoS2OpenAlex3İncele - Derleme MakaleAçık Erişim2025Scopus SJRQ1Expanding Layers of Bacteriocin Applications: From Food Preservation to Human Health Interventions
Demirgül, Furkan; Kaya, Halil İbrahim; Ucar, Redife Aslıhan; Mitaf, Naciye Afranur; Şimşek, Ömer
Bacteriocins, ribosomally synthesized by bacteria, have long been recognized for their role in ensuring food safety and security due to their antibacterial effects against foodborne pathogens and spoilage bacteria. However, recent advancements have unveiled their expanding potential beyond food applications, with increasing evidence of their efficacy against clinically significant pathogenic bacteria, biofilm formation, viral infections, and even cancer. These emerging discoveries have continuously added new layers to the application of bacteriocins, extending their relevance from food preservation to broader human health interventions. To further harness this expanding potential, various innovative strategies have been developed to overcome traditional limitations associated with bacteriocin use. Instead of directly employing bacteriocins or bacteriocin-producing bacterial cultures, novel approaches, such as incorporating them into films and packaging materials or coupling them with nanoparticles, have demonstrated enhanced effectiveness. In this review, we examine the evolving landscape of bacteriocin applications and shed light on the expanding functional spectrum of bacteriocins for both food safety and human health, although some important challenges and limitations remain. By analyzing the recent literature and innovative technological advancements, we highlight how bacteriocins are continuously evolving, opening new frontiers for their use and reinforcing their significance beyond their conventional roles.
AtıfScopus22WoS21OpenAlex22İncele - MakaleAçık Erişim2025Scopus SJRQ1The Effects of Essential Oils from Coriander Seed, Tarragon and Orange Peel on Lipid Production by Yarrowia lipolytica Strains
Yılmaz, Özlem; Kaban, Güzin; Kaya, Mükerrem
The aim of the study was to investigate the effects of different concentrations (0.15, 0.30, and 0.45 mL/L) of essential oils from coriander seeds (Coriandrum sativum), tarragon (Artemisia dracunculus), and orange peels (Citrus sinensis) on biomass, lipid content, and lipid yield of the strains Yarrowia lipolytica Y-1094, Y. lipolytica YB 423, and Y. lipolytica IFP29. The fatty acid composition of the oils produced by the strains was also determined. The highest biomass (5.38 ± 1.80 g/L) and lipid production (0.98 ± 0.42 g/L) were observed in the presence of Y. lipolytica IFP29 and Y. lipolytica YB 423, respectively. The lipid yield showed the highest value at the level of 0.45 mL/L in the presence of the Y. lipolytica Y-1094 strain. The correlation heat map results indicate that 0.45 mL of tarragon affected biomass and lipid content more than the other essential oils used. Y. lipolytica Y-1094 produced higher levels in terms of myristic acid and palmitic acid in all three essential oil sources than the other strains. The highest oleic acid level of all strains was determined in coriander seed essential oil, and the lowest in tarragon essential oil. The oleic acid level of Y. lipolytica Y-1094 was lower than that of the other two strains in all essential oils. Regarding linoleic acid, the oil level did not have a significant effect in the presence of tarragon and orange peel.
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