Digital Commons Network^™

Effects Of A Virtual Reality-Based Nature Video Intervention On Sleep Quality And Mental Well-Being In Patients With Multiple Sclerosis: A Randomized Controlled Trial ​, Hati̇ce Yağci Karamanli, Nuray Bi̇ngöl

Turkish Journal of Medical Sciences

Background/aim: Sleep quality and mental health are negatively affected in many patients with multiple sclerosis (MS). The study was conducted to evaluate the effects of virtual reality (VR) on sleep quality and mental well-being.

Materials and methods: The study was designed as a randomized controlled trial. Data were collected from patients with MS who presented to a hospital in Türkiye. The study was completed by 21 participants in the experimental group and 22 participants in the control group. Participants in the experimental group watched nature videos using VR headsets for 6 weeks. Participants completed the Pittsburgh Sleep Quality Index (PSQI) …

Posture And Musculoskeletal Symptom Burden, But Not Daily Step Count, Are Independently Associated With Physical Quality Of Life In Office Workers: A Cross-Sectional Study ​, Gülsemi̇n Ertürk Çeli̇k, Abdurrahman İskender, Ahmet Usta, Alper Doğanci

Turkish Journal of Medical Sciences

Background/aim: Office work is characterized by prolonged sitting and may be accompanied by musculoskeletal symptoms and reduced well-being. This study examined associations of step-based and self-reported physical activity, clinical posture, attitudes toward sports, smartphone addiction, and musculoskeletal symptom burden in office workers with the four domains of the World Health Organization Quality of Life Scale-Brief Version (WHOQOL-BREF).

Materials and methods: This cross-sectional analysis included 44 desk-based office workers at a public institution. WHOQOL-BREF domain scores were transformed to a 0–100 scale. Physical activity was assessed via 7-day average daily step counts and the International Physical Activity Questionnaire-Short Form (IPAQ-SF); posture …

Psychological Distress Among Dental Students: A Comparative Study Of Preclinical And Clinical Stages ​, Ömer Faruk Sari, Eli̇f Albayrak, Muhammed Hi̇lmi̇ Büyükçavuş

Turkish Journal of Medical Sciences

Background/aim: Understanding the degree of psychological stress experienced by dental students, together with the contributing factors, is important for reducing the adverse effects of stress and improving student well-being. Accordingly, the present study examined psychological distress levels among dental students and compared psychological distress across different academic years.

Materials and methods: This cross-sectional study included all undergraduate students enrolled in a single 5-year dental faculty in Türkiye during the 2024–2025 academic year. The Kessler Psychological Distress Scale (K10) survey was administered to the students and 399 dentistry students filled out the survey completely.

Results: Statistically significant differences in K10 scores …

Investigation Of Feed Values With In Vitro Technique And Chemical Properties, Particle Size Of Total Mixed Rations Prepared In Commercial Dairy Farms, Özlem Karcioğlu, Betül Zehra Sariçi̇çek

Turkish Journal of Veterinary & Animal Sciences

This study was conducted to investigate the chemical and physical properties and feed values of total mixed rations used on dairy cattle farms in Ankara Province. Included in the study were three farms from each of the five districts of Ankara Province (atotal of 15 commercial dairy farms). Total mixed ration (TMR) samples were collected weekly from each farm over a 3-month period in 2025. The chemical composition (crude protein, crude fat, crude fiber, acid detergent fiber (ADF), neutral detergent fiber (NDF), and acid detergent lignin (ADL)), in vitro digestibility parameters (in vitro gas production (IVGP), methane production (MP), organic …

Optimizing Marination Methodology, Holding Temperature, And Holding Time To Upgrade The Physicochemical And Sensorial Attributes Of Japanese Quail (Coturnix Japonica) Breast Fillets, Naveen Uduwawithana, Ruvini Mutucumarana

Turkish Journal of Veterinary & Animal Sciences

The aim was to optimize the effect of meat marination method (unmarinated, tumbling, injection, and immersion), holding temperature (4 oC and 8 oC), and holding time (4 h, 8 h, and 12 h) on the physicochemical and sensorial properties of Japanese quail (Coturnix japonica) breast fillets. Ninety-six deboned breast fillets (mean weight ± SD; 10 g ± 2) from 42-day-old unsexed Japanese quails were marinated. Injection marination showed the highest uptake (p < 0.05). The method × temperature × time interaction (p < 0.05) was significant for cooking yield, meat pH, hardness, cooking loss, and surface color lightness (L*). The highest pH (p < 0.05) was reported when the unmarinated control was retained for 8 h. Tumbling marinated meat when held for 12 h at 8 oC yielded the maximum cooking yield (60.3%). The cooking loss was minimal in unmarinated, tumbled, and immersion-marinated meat when held for 12 h. Irrespective of the temperature, 4-h holding time caused the minimum meat hardness in all four treatments. Tumble-marinated meat when held for 12 h at 8 oC resulted in the minimum cooking loss, hardness, and lightness (L*), as well as the maximum cooking yield. Meat when held at 4 oC for 4 h following injection marination had the highest scores for color, aroma, marinade penetration, flavor, and overall acceptability. In conclusion, quail breast fillets when tumble-marinated and held at 8 oC for 12 h were the best in terms of overall meat quality. Quail breast fillets held for 4 h at 4 oC following injection marination were rated highest by the panelists.

Are Lagrangians Involving Fractional Derivatives Physically Viable?, Nicola Fabiano

Turkish Journal of Physics

The recent trend of incorporating fractional derivatives into Lagrangians prompts a critical assessment of their physical viability. This work analyzes such theories through the lenses of classical mechanics and quantum field theory (QFT), revealing profound foundational issues. While the nonlocal nature of fractional operators circumvents Ostrogradsky's theorem, it introduces more severe problems. Classically, these include a complicated variational principle and the violation of energy conservation due to broken time-translation symmetry. In QFT, the pathologies are fatal: the propagator violates the K\"all\'en--Lehmann spectral representation, leading to acausal propagation, ghost states, complex poles, and a loss of unitarity. We conclude that Lagrangians …

Cover And Contents

Turkish Journal of Physics

No abstract provided.

Electron-Loss And Electron-Capture Cross Sections In  H + H₂⁺ Collisions, Saed J. Al Atawneh, Oqlah Al-Refai, Mohammed Abu-Seileek, Feras Afaneh

Turkish Journal of Physics

We investigate projectile electron-loss, target electron-loss, and target electron capture in H + H₂⁺ collisions using classical trajectory Monte Carlo (CTMC) and quantum-corrected classical trajectory Monte Carlo (QCTMC) methods within a fully four-body model. Energy-dependent cross sections are reported for all three channels. For projectile electron-loss, we additionally analyze impact-parameter-dependent probabilities and representative trajectories. The QCTMC method incorporates Heisenberg corrections, improving accuracy at low impact energies. Projectile and target electron-loss cross sections peak at intermediate energies and exhibit good agreement with H + H₂⁺ data at high energies. At low to intermediate energies, projectile electron-loss exceeds target electron-loss because the …

Nonlinear Mode Crossing And Spontaneous Frequency Comb Generation In Driven Magnetic Nanodisks, Hasan Pi̇şki̇n

Turkish Journal of Physics

Nonlinear magnetization dynamics in confined nanostructures provide a rich platform for fundamental studies and advanced spintronic applications. Here, we investigate the driven dynamics of a perpendicularly magnetized permalloy nanodisk using high-resolution micromagnetic simulations. In the linear regime, geometric confinement quantizes the uniform precession into discrete radial standing spin-wave (SSW) modes. As the excitation amplitude increases, the fundamental Kittel mode exhibits a pronounced nonlinear frequency shift relative to the higher-order SSW modes, ultimately leading to a critical mode crossing associated with nonlinear resonance overlap and the breakdown of modal orthogonality. Time-domain analysis reveals that strong mode hybridization governs the ensuing dynamics, …

Microscopic Study Of Β-Decay And Stellar Weak Rates In Neutron-Rich Scandium Isotopes, Wajeeha Khalid, Jameel-Un Nabi, Maria Ramzan

Turkish Journal of Physics

This study provides a critical investigation of the β-decay characteristics of neutron-rich scandium isotopes (53-65Sc) using the proton-neutron quasiparticle random phase approximation (pn-QRPA) model. The theoretical framework allows for a microscopic understanding of spin-isospin excitation modes that are essential for examining weak interaction phenomena. Charge-changing Gamow-Teller (GT) strength distributions were calculated and found to agree well with existing experimental results, thereby confirming the model's capacity to accurately represent the nuclear configuration of these isotopes. The computed β-decay half-lives and corresponding log ft values exhibit good agreement with experimental data, further validating the GT strength distributions and reinforcing the consistency of …

Comparison Of Umbral Dot Physical Properties In Developed And Undeveloped Sunspots, Muhammed Ali̇ Çalişir, Ali̇ Kilçik, Vasyl Yurchyshyn

Turkish Journal of Physics

Sunspots are cool regions where the magnetic field is significantly stronger than in the surrounding photosphere, and their darkest central regions are known as the umbra. Umbral dots (UDs) are small, bright features within the umbra that represent convective motions partially suppressed by strong magnetic fields. In this study, high-resolution images from the Goode Solar Telescope (GST) at Big Bear Solar Observatory (BBSO) were used to analyze four sunspots at different evolutionary stages, including two developed and two undeveloped sunspots. The physical properties of UDs, including brightness, diameter, eccentricity, lifetime, and dynamic velocity, were measured and compared across these sunspots …

Stress–Strain Behavior Of The High-Entropy Cantor Alloy Crmnfeconi Using A Deep Neural Network Potential, Nguyen Le Hoai Phuong, Le Huu Nghia, Huynh Khanh Van, Vo Khuong Dien, Nguyen Thanh Tien

Turkish Journal of Physics

Machine learning interatomic potentials (MLIPs) provide an efficient approach to large-scale molecular dynamics simulations of high-entropy alloys. In this work, an MLIP trained on AIMD data was developed for the CrMnFeCoNi Cantor alloy and validated against DFT calculations. In addition, we compared MLIP results with those obtained using the classical modified embedded atom method (MEAM)-based interatomic potential for the CrMnFeCoNi Cantor alloy. The model achieved energy and force RMSEs of 7.39 x 10-6 meV/atom and 4.46 x 10-3 eV/A, respectively. Tensile simulations demonstrated that the MLIP accurately reproduced the stress–strain response, elastic constants, and deformation mechanisms observed in DFT calculations. …

Spacer-Mediated Gold Nanocube Arrays For Edge-Localized Excitonic Enhancement In Monolayer Mos2​, Abdullah Efe Yildiz, Emre Ozan Polat

Turkish Journal of Physics

Plasmonic nanostructures offer an effective route for enhancing light-matter interaction in atomically thin semiconductors, whose optical response is intrinsically limited by their subnanometer active thickness. Here, we numerically investigate excitonic enhancement in monolayer (ML) Molybdenum Disulfide (MoS2) coupled to size-tuned gold (Au) nanocube arrays separated by thin aluminum oxide (Al2O3) and hexagonal boron nitride (h-BN) spacer layers. By varying the nanocube side length, the localized surface plasmon resonance is tuned across the visible spectral range to modulate the A- and B-excitonic transitions of monolayer MoS2.We show that the nanocube-size-dependent spectral redshift can be further controlled through the spacer material and …

Theoretical Construction Of Light Hexaquarks And Their Substantiation By Seven-Dimensional Representation Of Su(2) Group, Mayank Joshi, Shuchi Bisht, Navjot Hothi, Manish Bisht

Turkish Journal of Physics

This manuscript presents a theoretical approach to constructing light hexaquarks using up and down quarks. These light exotic hexaquarks are shown to exhibit a seven-dimensional representation of the SU(2) isospin group. Additionally, the isospin septuplet is developed along with the quintet, triplet, and singlet representations for these light exotic hexaquarks. These particles are essentially mesonic in nature and also satisfy the requirements of the Kronecker product. Furthermore, the physical characteristics and weights of the respective states are intrinsically provided for these light hexaquarks.

Selective Citation: The Systematic Omission Of Established Regional Literature, İrem Eli̇tez

Turkish Journal of Earth Sciences

No abstract provided.

Integrated Assessment Of Groundwater Quality And Human Health Risks In A Semiarid Region Of Kemaliye (Türkiye), Veli̇ Keski̇n, Celaletti̇n Şi̇mşek

Turkish Journal of Earth Sciences

In this study, the hydrochemical characteristics, drinking water suitability, and potential human health risks of groundwater in the Karapınar region (Kemaliye, Erzincan, Türkiye), which has become a critical drinking water resource due to drought associated with climate change and the depletion of surface water resources, were investigated using an integrated multiparameter approach. Within the scope of the study, a total of 18 water samples, comprising 13 spring water samples and 5 groundwater samples obtained from wells, were collected during the dry season (October 2021) and analyzed for major ions, physicochemical parameters, nitrate, and trace elements. The suitability of the samples …

Signals In The Ionosphere Ahead Of Tsunami Arrival, Svetlana Riabova, Sergey Shalimov

Turkish Journal of Earth Sciences

We consider the impact of the tsunami propagating after the earthquake in Tohoku on the ionosphere according to measurements from the Hawaiian Islands, i.e., at a fairly large distance from the epicenter of the earthquake. These measurements, taken at a tidal tsunami monitoring station, at a magnetometric station, and by GPS, were used to record the arrival of the tsunami. We experimentally establish that the arrival of atmospheric waves generated by the tsunami significantly advanced the arrival of sea waves at the observation point, and this advance from one source was recorded in both the lower and upper ionosphere. Attention …

Editorial Note To The Article “Identification Of A Previously Unrecognized Listric Fault Beneath The Acıpayam Graben: Insights From Integrated Dinsar And Field Observations” [Turkish Journal Of Earth Sciences 35 (1) 2026 20-41], Orhan Tatar

Turkish Journal of Earth Sciences

No abstract provided.

Possible Fluid Contributions From Active Faults To Mercury Distribution In Surface Sediments Of The Gemlik Gulf And Health Risk Assessment, Erol Sari, M. Namik Çağatay, Tuğçe Nagi̇han Arslan Kaya, Zeynep Çeti̇n, Nuray Çağlar

Turkish Journal of Earth Sciences

The Gemlik Gulf, located in the eastern part of the Sea of Marmara (Türkiye), is recognized as a relatively contaminated marine environment, influenced by a variety of natural and anthropogenic inputs. A comprehensive geochemical study was performed to examine the distribution of total mercury (THg) in surface sediments and to elucidate the possible sources contributing to its accumulation. The analysis revealed that THg concentrations ranged from 485 to 6486 ng/g, with all measured values substantially exceeding the average shale background concentration of 400 ng/g, indicating significant enrichment. According to sediment quality guidelines, none of the samples exceeded the effects range …

Paleoecology Of Loftusia Species (Large Benthic Foraminifera) In The Zagros Basin, North Of The Neotethys, Hossein Ghanbarloo, Amrollah Safari

Turkish Journal of Earth Sciences

Paleoecological analyses based on the wall structure of the genus Loftusia were carried out in the Maastrichtian deposits of seven outcrops of the Zagros Basin. Two types of particles are present within the wall structure: (1) tiny fossil grains and (2) detrital grains. Tiny fossil grains consist of smaller foraminifera and other small microorganism tests. Foraminiferal tests are associated with miliolid, textulariid, and rotaliid forms. Detrital grains include intraclasts and extraclasts. The presence of different particles in the test wall of this genus and the abundance of this genus in nutrient-rich conditions indicate that Loftusia are probably opportunistic foraminifera. This …

Neoproterozoic Uranium-Mineralized Sedimentary Rocks From The Kaladgi Basin, Dharwar Craton, Southwestern India: Source And Transport Mechanism Of Uranium, Ponnalagu Govindaraj, Arumugam Shanmugasundaram, Sooriamuthu Ramasamy, Muthusamy Ravichandran

Turkish Journal of Earth Sciences

The Kaladgi Basin of the Dharwar Craton, southeast India, hosts Proterozoic unconformity-related uranium (U) mineralization controlled by faulted contacts between Archean basement and Proterozoic cover sediments. To understand the ore-forming processes, 25 core samples from the Cave Temple Arenite were analyzed using whole-rock geochemistry and fluid inclusion microthermometry. U concentrations reach up to 0.13% U3O8 in the basal arenite and lower conglomerate, whereas the basement schist records only 0.0017% U. Whole-rock data reveal high SiO2 contents (72–97 wt.%), variable Al2O3 (0.4–12.9 wt.%), and enrichments in U (0.38–6.63 ppm), Th (1.5–13.7 ppm), and trace elements such as Cu, Pb, and Ni …

Citation Scope And Scientific Relevance In An Event-Based Seismotectonic Study: Reply To The Comment By Elitez On Eski (2026), Semi̇h Eski̇

Turkish Journal of Earth Sciences

No abstract provided.

Challenges, Trends, And The Role Of Lstm In Ai-Based Predictive Maintenance Of Electrolyzers For Solar Hydrogen Systems: A Review, Yani Koerniawan Kuatno, Muhamad Zahim Sujod

Turkish Journal of Electrical Engineering and Computer Sciences

The transition toward low-carbon energy systems has increased interest in hydrogen as a clean energy carrier, with solar-driven water electrolysis emerging as a promising technology due to its high efficiency and compatibility with renewable energy sources. However, dynamic operating conditions and intermittent renewable input accelerate electrolyzer degradation, reducing reliability and system lifespan. Predictive maintenance (PdM), supported by artificial intelligence (AI), offers a data-driven approach to anticipate failures and improve operational durability. This review systematically investigates AI-based PdM approaches for electrolyzers, with an emphasis on long short-term memory (LSTM) networks and Internet of things (IoT) integration. Following PRISMA 2020 guidelines, 35 …

Dynamic Focal Loss Adjustment For Railway Defect Detection, Mehmet Koç, Ridvan Özdemi̇r, Ömer Gerek

Turkish Journal of Electrical Engineering and Computer Sciences

Railway infrastructure is critical to the safe and efficient operation of transportation systems, and the early detection of defects is essential for preventing catastrophic failures. Automated defect detection methods are therefore crucial for maintaining continuous safety while reducing maintenance costs. Although Focal Loss is widely used in object detection under class-imbalanced conditions, its fixed α parameter may limit its effectiveness in detecting rare defects. In this study, we propose an adaptive α-tuned Focal Loss approach that dynamically adjusts class weights based on average precision (AP) values. By iteratively optimizing α without relying on gradient-based optimization, the proposed method improves the …

Relative Rate Observer-Based Online Tuning Mechanism For Single-Input Interval Type-2 Fuzzy Pid Controllers, Oqba Aldreiei, Cenk Ulu, Mert Can Kurucu, Müjde Güzelkaya

Turkish Journal of Electrical Engineering and Computer Sciences

The characteristics of the footprint of uncertainty (FOU) in interval type-2 membership functions (IT2-MFs) are crucial to the performance and robustness of interval type-2 fuzzy controllers (IT2-FCs). However, existing IT2-FC design approaches mostly use fixed FOU structures. This study proposes an online membership function (MF) adjustment mechanism for a single-input interval type-2 fuzzy PID controller (SIT2-FPID)  that adjusts the FOU of the antecedent MFs and weights of the consequent MFs, respectively, to achieve high performance and robustness. The proposed online adjustment mechanism consists of a relative rate observer (RRO), a two-input rule-base adjustment system, and a first-order smoothing filter. The …

Cuip-X25: A Real-World Network Intrusion Dataset For Next-Generation Ai-Driven Security, Arshad Iqbal, Sohail Asghar

Turkish Journal of Electrical Engineering and Computer Sciences

The efficacy of artificial intelligence (AI) in intrusion detection systems (IDS) is critically dependent on high-fidelity training data. However, as detailed in the manuscript's literature review, existing benchmark datasets are predominantly synthetic, outdated, or imbalanced and fail to capture the complexity of the contemporary threat landscape. To bridge this gap, this study introduces CUIP-X25, a novel real-world cyber-attack dataset captured over a four-month period using a dionaea honeypot deployed on a public network. Unlike synthetic alternatives, this dataset provides an authentic representation of modern adversarial tactics, techniques, and procedures, encompassing 3.16 million real events across ten distinct attack categories, including …

Robust Load Frequency Control For Multiarea Electrical Power Systems Via Analytical Proportional-Integral-Derivative Plus Second Order Derivative Controller Design, Yavuz Güler, Mustafa Nalbantoğlu, Ibrahim Kaya

Turkish Journal of Electrical Engineering and Computer Sciences

This research presents a proportional-integral-derivative plus second order derivative (PIDD2) controller design based on the Direct Synthesis Method (DSM) for load frequency control (LFC) of interconnected power systems. The parameters of the proposed PIDD2 controller are determined using the DSM, which offers an analytical approach for tuning. The design approaches have been developed specifically for single, two, and three-area power systems, encompassing nonreheated and reheated thermal turbines. In the proposed design method, the best values of PIDD2 controller parameters were found by using a multicriteria objective function that includes the integral of absolute error (IAE) and settling time. In response …

Boundary Layer Sliding Mode Control Strategy For Variable-Speed Compressor In Deep Freezers: Experimental Validation Of Energy Efficiency And Freezing Capacity, Sertan Aksoy, Kami̇l Çeti̇n, Sezai̇ Taşkin

Turkish Journal of Electrical Engineering and Computer Sciences

This study presents the design and experimental validation of a nonlinear sliding mode controller developed for a deep freezer equipped with a variable-speed compressor. The proposed control strategy aims to minimize energy consumption while maintaining rapid and stable cooling performance under varying ambient conditions. A detailed thermal model of the deep freezer was established using an equivalent resistance–capacitance network representation, enabling precise analysis of temperature dynamics. The sliding mode-based control algorithm dynamically adjusts the compressor’s operating frequency according to temperature deviation, ambient conditions, and time-dependent factors, providing robust performance without requiring parameter retuning for different models. Beyond theoretical-based analysis, a …

Empowering Edge Intelligence Through Reparameterized Lightweight Transformers And Distributed Inference, Hosein Esmaeili, Mohammad Ali Afshar Kazemi, Reza Radfar, Nazanin Pilevari

Turkish Journal of Electrical Engineering and Computer Sciences

Deploying advanced transformer-based models on resource-constrained edge devices remains a significant challenge due to their high memory footprint and substantial compute requirements. In this paper, we propose a reparameterized transformer framework that integrates High-Rank Factorization (HRF) during training, layer merging at inference, and dynamic, load-balanced distributed inference across multiple devices. To further reduce resource usage, our framework supports mixed-precision quantization down to 4-bit, enabling flexible accuracy–latency–energy trade-offs. Experimental evaluations on the ESC-50 environmental sound dataset demonstrate that our method matches or exceeds the performance of larger baseline models while using 20–30% fewer parameters, achieving up to 48% latency reduction in …

Measurement-Aware Zero-Phase Iterative Learning Control For Robust Regulation Of Nonideal Boost Converters In Electric Vehicle Fast Charging, Aytaç Altan, Mohammed S. Alzaidi, Cağfer Yanarateş

Turkish Journal of Electrical Engineering and Computer Sciences

Integrating battery energy storage with DC-DC boost converters for electric vehicle fast charging exposes the regulator to ageing-induced parameter drift, periodic load pulses, and, critically, the nonidealities in the output-voltage sensing chain. This paper proposes a measurement-aware, zero-phase iterative learning control scheme for robust output-voltage regulation of a nonideal boost converter whose parameters are matched to those of a commercial Texas Instruments TPS6102x battery regulator. The controller combines an inner proportional-integral stabilizing loop with an outer zero-phase learning law that updates a feedforward correction based on the sensor-captured output trajectory; a forward-backward robustness filter suppresses the amplification of measurement noise …