Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14720/4

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Probing the Dna Interaction Behavior of Tetrakis (Benzhydryloxy Phthalocyaninato) Mg (II) Complex
(Chemical Society of Pakistan, 2025) Arslantaş, A.; Ağırtaş, M.S.
In this work, we evaluated the DNA interaction behaviors of previously prepared and characterized peripherally tetra-substituted Mg(II) phthalocyanine containing a tetrakis (benzhydryloxy) group. The 2, 10, 16, 24-tetrakis (benzhydryloxy phthalocyaninato) Mg(II) complex was studied is soluble in organic solvents. During the synthesis and characterization phase, absorption spectroscopy, infrared spectroscopy and 1H NMR were utilized to elucidate the chemical structure of the MgPc complex. For this complex, DNA binding behaviours were investigated with various techniques like electronic absorption spectroscopy, fluorescence emission spectra, electrophoresis and thermal denaturation. To reveal the binding pattern of the MgPc complex to DNA, the binding constant was calculated and found to be 1.73 × 106 M-1 for the complex. All the results obtained from the techniques applied showed that MgPc tends to interact with the DNA molecule and confirmed that this interaction occurs intercalatively. © 2025 Chemical Society of Pakistan. All rights reserved.
Determination of Optimum Machining Parameters in Machining Rene 41 Superalloy Depending on Cutting Speed
(EDP Sciences, 2025) Altin, A.; Altin, M.C.; Altin, H.; Altin, T.
Rene 41 superalloy developed to withstand severe mechanical stresses and high temperature operation, and are widely used in aircraft and space vehicles, especially nickel-based ones, due to their high corrosion resistance. In this study, three different cutting forces and surface roughness qualities were evaluated depending on the cutting speed in the machining of Rene 41 superalloy with three different ceramic tools KYON 4300, KSY25 and KSY30. In this work, The experimental results have revealed that the feed rate had a serious effect on the cutting forces, while the effect of turning speed and type of the cutting tool on the cutting forces are relatively small. On the other hand, the most important factor influencing the surface roughness was cutting speed followed by tool type and feed rate, respectively. The presented findings can help for understanding the machinability and surface characteristics of Rene’41 during high speed turning. In the experiments, it was observed that the cutting forces decreased as the cutting speed increased. © The Authors, published by EDP Sciences.
Pasinler-Horasan Havzası (Erzurum-Türkiye) Pliyosen-Kuvaterner Yaşlı Gölsel Sedimanlarındaki Yumuşak Çökel Deformasyon Yapılarının Oluşum Mekanizması ve Bölgesel Jeodinamikler ile İlişkisi
(Hacettepe Universitesi Yerbilmleri, 2025) Yilmaz, A.V.; Üner, S.
Soft-sediment deformation structures of different types are frequently observed in the Pliocene–Quaternary lacustrine deposits of Pasinler-Horasan Basin. These structures are located in four locations in the basin (Yukarı Tahirhoca-1, Yukarı Tahirhoca-2, Karacaören, and İncesu) at different levels within fine gravelly, sandy and silty sediments. According to their morphological features, the formation mechanisms of these structures, defined as flame structure, load structure, convolute structure, slump structure, dish-and-pillar structure and ball-and-pillow structure, were interpreted by considering sedimentological features, stratigraphic location and regional factors. With these data, it was revealed that soft sediment deformation structures were formed by the effect of overloading effect and seismic tremors. While rapid sediment accumulation and underwater mass movements constitute the overloading effect that creates some of the deformation structures, seismic tremors with a magnitude of M ≥ 5 constitute the other triggering mechanism. The Horasan-Şenkaya, Tutak and Karayazı faults, which are very close to the liquefaction areas (< 35 km), have the potential to produce the seismic shocks necessary for deformation. © 2025, Hacettepe Universitesi Yerbilmleri. All rights reserved.
Electroanalytical Determination of Two Accase-Inhibing Herbicides in Soybean Products. a Theoretical Insight
(Universidade Federal de Mato Grosso do Sul, Departamento de Quimica, 2025) Tkach, V.V.; Morozova, T.V.; da Paiva Martins, J.I.F.; de Mascarenhas Gaivão, I.O.; Ivanushko, Y.G.; Türkmenoğlu, M.; Yagodynetś, P.I.
This study evaluates the possibility of electroanalytical detection of clethodim and fenoxaprop-p-ethyl in soybean crops and products. The electrochemical analysis may be performed at both the cathode and the anode, given the presence of donor and acceptor functional groups. Two mathematical models, each for the positive or negative polarity of the working electrode, were developed and analyzed using linear stability theory and bifurcation analysis. Either way, the electroanalytical behavior is effective and sufficient to quantify the nanomolar concentrations of both pesticides in mildly acidic and neutral medium for cathodic process and neutral to moderately alkaline in anodic. However, considering the moderately acidic environment of the soybean plant and its products, like also the electrochemical properties of both of the pesticide, the cathodic process is preferable. © 2025, Universidade Federal de Mato Grosso do Sul, Departamento de Quimica. All rights reserved.
Molecular Phylogeny and Population Structure of Eurygaster Integriceps (Hemiptera: Scutelleridae) in the Southeastern Anatolia Region of Türkiye
(TUBITAK, 2025) Özgökçe, M.S.; Doğaç, M.; Kara, H.
The aim of this study was to determine the identity and distribution of the sunn pest Eurygaster spp. and to quantify the population density in wheat fields across Southeastern Anatolia, Türkiye. A total of 309 samples were collected from 76 fields in 54 districts across all provinces within the study region, where wheat production is intensive. A combination of morphological and molecular techniques was employed to identify the collected specimens. Morphological identification was based on male genitalia, and PCR amplification of the COI mitochondrial gene region was used for DNA barcoding. Both morphological and molecular analyses confirmed that all collected samples belonged to the species Eurygaster integriceps, revealing five distinct morphotypes and 17 haplotypes. The results indicate that the sunn pest is widespread across all provinces in the Southeastern Anatolia region. Among these provinces, Gaziantep exhibited the highest pest density, whereas Siirt had the lowest. Morphologically, 46.27% of the samples exhibited a distinctive contrast pattern on the scutellum—a feature previously associated with increased pesticide resistance. Combined morphological and molecular analyses confirmed the presence of E. integriceps in all sampled wheat fields, revealing that it is widely distributed in Southeastern Anatolia and has varying population densities among provinces. The combined use of morphological and molecular identification techniques provided a comprehensive understanding of E. integriceps populations. Morphological analysis enabled the identification of distinct morphotypes, while molecular analysis confirmed species identity and revealed genetic diversity within the population, providing essential baseline information for accurate identification and the development of effective pest management strategies. © TÜBİTAK.
Comparative Clinical Efficiency of Resveratrol, Allopurinol, and Resveratrol Plus Allopurinol in Canine Visceral Leishmaniasis
(American Veterinary Medical Association, 2025) Erdogan, S.; Erdogan, H.; Ural, K.; Pasa, S.; Gultekin, M.; Balikci, C.; Gunal, I.
Objective To assess the clinical and immunological effectiveness of resveratrol alone or combined with allopurinol for treating canine visceral leishmaniasis (CVL). Methods This study included 50 dogs, 30 diagnosed with CVL and 20 healthy controls. Dogs were classified based on their treatment regime (receiving resveratrol [200 mg/dog/d] and/or allopurinol [10 mg/kg/d]). Clinical scores, anti-leishmanial antibody titers, and routine blood parameters were evaluated on days 0, 15, and 30 after treatment. Results Dogs treated with the combination therapy showed the most substantial improvements, with a 75.77% reduction in clinical scores and an 81.25% reduction in antibody titers. Dogs receiving allopurinol exhibited a 56.25% reduction in clinical scores, while those treated with resveratrol showed a 42.82% reduction. Antibody titers were less significantly reduced in the resveratrol group (67.5%) compared to the allopurinol group (45%). Conclusions Combining resveratrol with allopurinol enhances the therapeutic efficacy for CVL, leading to significant clinical improvements and reductions in antibody titers. Resveratrol alone also demonstrates promising anti-leishmanial effects. Clinical Relevance Resveratrol, either alone or in combination with allopurinol, offers a feasible and effective alternative for improving clinical outcomes in CVL. Its incorporation into standard protocols may enhance treatment strategies in veterinary medicine. ©The authors.
Solving a Class of Auto-Convolution Volterra Integral Equations Via Differential Transform Method
(University of Guilan, 2025) Tari, A.; Shahmorad, S.; Mostafazadeh, M.; Erdogan, F.
The aim of this paper is to solve a class of auto-convolution Volterra integral equations by the well-known differential transform method. The analytic property of solution and convergence of the method under some assumptions are discussed and some illustrative examples are given to clarify the theoretical results, accuracy and performance of the proposed method. © 2025 University of Guilan.
The Influence of Thermocycling and Ultraviolet Aging on Surface Characteristics and the Repair Bond Strength of Cad/Cam Resin Nanoceramics
(Multidisciplinary Digital Publishing Institute (MDPI), 2025) Unalan Degirmenci, B.; Degirmenci, A.; Seyfioglu Polat, Z.
Background: The durability of computer-aided design/computer-aided manufacturing (CAD/CAM) resin nanoceramics in the oral environment is influenced by aging factors such as thermocycling and ultraviolet (UV) exposure. This study investigates the impact of these aging processes on surface characteristics and repair bond strength. Methods: CAD/CAM resin nanoceramic samples were divided into the following five groups: control (non-aged), 1-year and 5-year thermocycling, and 1-year and 5-year UV aging (n = 12). For the thermocycling procedure, the parameters employed were a temperature range of 5–55 °C with dwell times of 20 s per bath and 10,000 and 50,000 cycles; for the ultraviolet aging process, the parameters were established at a wavelength of 340 nm, an intensity of 0.55 W/m², and durations of 300 h and 1500 h. Surface roughness, microhardness, and repair bond strength were analyzed through profilometry, Vickers microhardness testing, and shear bond strength assessment, respectively. SEM, AFM, and XRD analyses were performed for structural evaluation. Results: Both thermocycling and UV aging significantly increased surface roughness (p < 0.001) while reducing microhardness and repair bond strength (p < 0.001). UV aging had a more pronounced effect, particularly after five years, leading to the highest surface roughness (Ra: 61.77 μm; Rz: 271.57 μm) and lowest microhardness properties (63.13). EDAX analysis indicated matrix degradation and an increase in inorganic filler exposure. Conclusions: Aging significantly affects the surface characteristics of CAD/CAM resin nanoceramics, with UV aging exhibiting the most detrimental impact. These findings highlight the necessity of considering long-term material stability in dentistry. © 2025 by the authors.
Formulation and Quantization of Field Equations on Fractal Space-Time
(Springer, 2025) Khalili Golmankhaneh, A.; Pasechnik, R.; Jørgensen, P.E.T.; Li, S.
This paper explores the framework of fractal calculus and its application to classical and quantum field theories. We begin with a brief overview of the fundamental concepts of fractal calculus. Building on this foundation, we introduce the formulation of the classical scalar field within a fractal space. The study is then extended to the quantization of the fractal field, where we examine how fractal geometry influences the quantization process. As a key example, we consider the fractal version of the Klein-Gordon equation and analyze how the fractal dimension affects the behavior of the field. Graphical representations are provided to illustrate the impact of fractal dimensions on the solutions. The paper concludes with a summary of the results and their potential implications for future research in fractal field theory. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.
Artificial Intelligence Myths: Prevalence Among Turkish University Students and Comparative Analysis of Chatgpt Responses
(Ozgen Korkmaz, 2025) Tunga, Y.; Geriş, A.; Çelik, B.
Artificial intelligence (AI) has rapidly emerged as a transformative technology across various disciplines. However, its widespread adoption is accompanied by numerous myths, which are fueled by limited public understanding and can significantly shape how individuals perceive and interact with AI, often leading to negative consequences such as misunderstanding, fear, or resistance. Despite the importance of addressing these myths, research on the prevalence of such beliefs remains insufficient, particularly in the Turkish context. This study aims to determine the prevalence of AI myths among Turkish university students, investigate the factors influencing the adoption of these myths, and compare student perceptions with ChatGPT's responses to the same myths. The study analyzed survey data from 288 students (102 males, 35.4%, and 186 females, 64.6%) using an AI-myth survey consisting of 18 items. Both descriptive and inferential analyses were conducted to determine the prevalence of AI myths and investigate how factors such as academic background, gender, AI-related training, and media consumption influence the adoption of these myths. A comparative analysis was also performed between student responses and ChatGPT’s reactions to these myths. Analysis showed that certain AI myths are particularly prevalent among students. Students from technical disciplines demonstrated a greater ability to identify these myths, while prior AI training and media consumption had minimal impact. ChatGPT’s responses highlighted areas where better communication about AI is needed. The findings suggest that improving AI literacy and dispelling myths are essential for preparing students for more informed engagement with AI technologies. © 2025, Ozgen Korkmaz. All rights reserved.
Synthesis and Characterisation of Molecularly Imprinted Microspheres for the Determination of Kanamycin
(Yuzuncu Yil Universitesi Tip Fakultesi, 2025) Buran, C.; Bilici, M.
This study aims to propose a methodology based on molecularly imprinted polymer solid phase extraction (MISPE) prior to instrumental analysis of kanamycin, a type of antibiotic. Solid phase extraction of kanamycin antibiotic, which is in the aminoglycoside class of antibiotics, from commercially purchased milk samples was carried out by molecular imprinting technique. After this process, the amount of kanamycin was determined by UV-visible spectrophotometry. This antibiotic in milk was removed by molecular imprinting method. The molecular imprinting technique was aimed to form complexes of functional monomers around a mould molecule with covalent or non-covalent interactions and then to form imprinted polymers with chemical function through an appropriate processing process. By removing the imprinted molecule after the process, a hollow cavity specific to the imprinted molecule was formed in the polymeric structure. These molecularly imprinted polymers were used as an ideal material for processes such as separation, chemical determination and catalysis. Molecularly imprinted microspheres were prepared for the determination of kanamycin antibiotic, the active ingredient of the drug in milk. The results obtained show that the proposed method can determine kanamycin in milk with high recovery rates and low relative standard deviation. © 2025, Yuzuncu Yil Universitesi Tip Fakultesi. All rights reserved.
The Opportunities and Challenges of Digital Technologies in Energy Systems To Reduce Ghg Emissions
(Springer Nature, 2025) Dinçbaş, T.; Kuzu, A.; Ergeneli, A.; Çelik, D.
Since the problems caused by the global climate crisis threaten the lives of all kinds of living creatures, it has brought to the agenda the need to reduce the greenhouse gas emissions that cause it as quickly as possible. Reports published by international organizations and researchers draw attention to the urgent need to use renewable energy sources instead of fossil fuels in energy systems and digital technologies to ensure energy efficiency and control to reduce greenhouse gas emissions. Emphasizing the necessity of using digital technologies in energy systems by highlighting their impact on reducing greenhouse gas emissions causes digital technologies to be the leading actor in solving the global climate crisis. On the other hand, studies show that digital technologies have more challenges than expected. However, these studies, which are few, do not attract enough attention. Being aware that digital technologies in energy systems provide challenges and opportunities will lead to more rational investments in digital technologies. Therefore, this study aims to review articles that evaluate the opportunities and challenges provided by digital technologies in energy systems and contribute to the literature by presenting a survey that examines them together. For this reason, 21 current studies examined and determined that challenges should be taken seriously in addition to the opportunities provided by digital technologies. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Embryogenesis and Early Larval Development in Rosy Barb (Pethia Conchonius, Hamilton 1822)
(Western Philippines University, 2025) Sepil, A.; Azizoglu, B.E.; Çekiç, Z.A.; Oguz, A.R.
This study aimed to investigate the larval ontogeny of rosy barb Pethia conchonius (Hamilton 1822). Embryonic and larval development stages were studied using the microscopy technique. Trials were carried out on 60 broodstock of rosy barb. Round and transparent fertilized eggs with a diameter of 867.6 ± 21.7 µm have started to hatch approximately 27 h after spawning at 26.3°C. The newly hatched larvae (n:30) have a mean total length of 4227 ± 265 µm and started exogenous feeding 4 days after hatching (DAH) and started taking particulate and powder feed at the end of 18 DAH. The early development growth formula of rosy barb has an exponential relationship model of y = 3.8346e0.0313x (R2 = 0.9112, n = 140). Digestive tract differentiation, hepatopancreas, digestive tubes, and gill arches formations were examined by taking histological sections in the early life stages of the rosy barb. Rosy barb is a species whose production protocol is not difficult due to its short egg hatching period and early larval stage zooplankton feeding period. © 2025, Western Philippines University.
Emergency Vs. Planned Hemodialysis Initiation: Effects on Vascular Access and Treatment Practices
(Yuzuncu Yil Universitesi Tip Fakultesi, 2025) Turgut, T.; Karaca, C.
Hemodialysis (HD) is commonly used for end-stage renal disease, but there is a rising trend in initiating HD as an emergency rather than a planned procedure. This study investigates the clinical effects of emergency versus programmed HD initiation. This retrospective study analyzed patients starting their first HD between January 2021 and December 2023. Data on laboratory parameters, vascular access, and medications were collected. Patients were divided into emergency and programmed HD initiation groups and compared. The study included 136 patients (mean age 59.6 years). Emergency HD patients were more likely to use non-tunneled central venous catheters (CVCs) and had lower eGFR levels compared to those with programmed HD (102 [99%] vs. 5 [15.2%]; p<0.001 and 7.8 ± 3.3 mL/min/1.73 m² vs. 9.4 ± 2.7 mL/min/1.73 m²; p=0.010). While hemoglobin levels were lower in the emergency group (9.3 ± 2.0 g/dL vs. 9.9 ± 1.5 g/dL; p=0.156), the difference was not significant. IV iron and ESA use was significantly lower in the emergency group (28 [27.2%] vs. 22 [66.7%]; p<0.001 and 11 [10.7%] vs. 8 [25%]; p=0.045). Emergency HD initiation is linked to increased use of non-tunneled CVCs, lower eGFR, and reduced use of IV iron and ESA. Improved planning and early intervention are needed for better patient outcomes. © 2025, Yuzuncu Yil Universitesi Tip Fakultesi. All rights reserved.
Our Experience With Percutaneous Vertebroplasty and Kyphoplasty in Osteoporotic Spinal Fractures
(Yuzuncu Yil Universitesi Tip Fakultesi, 2025) Karaaslanli, A.; Çetin, A.
Osteoporotic vertebral fractures are a prevalent complication associated with osteoporosis and they are especially common in the elderly. Vertebroplasty and kyphoplasty are minimally invasive surgical techniques designed to address these fractures. These procedures aim to alleviate the pain, prevent the progression of kyphosis, and enhance the quality of life for patients. This study retrospectively examines 30 patients who underwent percutaneous vertebroplasty at Gazi Yaşargil Training and Research Hospital from January 2020 to December 2024. The study involved 30 patients, whose pain levels assessed using the Visual Analog Scale before and after surgery. Changes in vertebral body height were also measured before and after the operation. All procedures were conducted under local anesthesia or sedation analgesia, with Polymethylmethacrylate cement injected at thoracic and lumbar levels. Statistical analysis was performed using SPSS software. The average preoperative visual analog scale score was 7.68, which significantly decreased to 3.25 after operations (p < 0.001). Additionally, the mean vertebral body height increased from 10.19 mm before surgery to 11.54 mm after surgery (p < 0.001). These results suggest that vertebroplasty effectively reduces pain and restores vertebral height. Percutaneous vertebroplasty is a viable treatment option for osteoporotic and pathological vertebral fractures. This technique effectively manages pain, enhances vertebral stability, and supports early patient mobilization. With meticulous application, the risk of complications is minimized. © 2025, Yuzuncu Yil Universitesi Tip Fakultesi. All rights reserved.
Polyethersulfone Membranes Modified With 2D Mxene-Cuo Nanocomposites for Protein Rejection and Investigation of Antimicrobial Properties
(Elsevier B.V., 2025) Şener, L.; Alterkaoui, A.; Özdemir, N.C.; Dizge, N.; Özdemir, S.; Serkan Yalçın, M.; Gülcan, M.
This study examines the effects of incorporating three MXene-CuO nanocomposites – Ti3C2Tx/CuO, V2CTx/CuO and Nb2CTx/CuO- into polyethersulfone (PES) membranes. The study aims to enhance the antifouling and permeation properties of PES membranes for bovine serum albumin (BSA) filtration. The experimental design involved adding each MXene-based composites to PES membranes at a fixed concentration of 1 %. These composite membranes were then evaluated using a dead-end filtration system. Their performance was compared to that of a control membrane composed of pure PES without any MXene-based nanocomposites. The results revealed significant improvements in BSA rejection efficiency. The pristine PES membrane achieved a rejection rate of 61.42 %, while the three composite membranes containing MXene-based nanocomposites showed complete BSA rejection, achieving 100 % removal efficiency. The synthesized MXene-based nanocomposites were also assessed for in vitro antioxidant, antidiabetic, DNA nuclease, antibiofilm and antimicrobial activities. V2CTx/CuO exhibited 90.27 % antioxidant activity. Antidiabetic activity of V2CTx/CuO and Ti3C2Tx/CuO was achieved as 86.42 % and 96.46 %. All compounds caused single-strand DNA cleavage at 50 and 100 mg/L doses and double-strand cleavage caused at 200 mg/L dose. The low MIC values obtained revealed that the compounds presented effective antibacterial properties. V2CTx/CuO, Nb2CTx/CuO and Ti3C2Tx/CuO was also displayed influential microbial growth inhibition as 82.79 %, 98.62 % and 100 %, respectively. The highest antibiofilm activity against S. aureus and P. aeruginosa for V2CTx/CuO, Nb2CTx/CuO and Ti3C2Tx/CuO was 71.25 % and 56.85 %; 87.91 % and 69.16 %; and 92.55 % and 84.22 %, respectively. It was also found that the antimicrobial surface of PES membrane doped with 1 % V2CTx/CuO, Nb2CTx/CuO and Ti3C2Tx/CuO displayed 72.58 %, 84.62 %, and 95.49 % antibacterial ability, respectively. © 2025 Elsevier B.V.
Open-Circuit Fault Detection in T-Type Mli Using Xgboost: a Machine Learning-Based Approach
(Institute of Electrical and Electronics Engineers Inc., 2025) Karakilic, M.; Hatas, H.; Pacal, I.
Prediction of open circuit (OC) faults in a T-Type multilevel inverter (MLI) with high accuracy using machine learning (ML) models is a critical issue for the reliability of power electronic systems. In this study, OC faults that may occur in any of the nine switches in the inverter circuit are detected and classified using a data-driven approach. K-Nearest Neighbors (KNN) and XGBoost algorithms are applied for machine learning based fault detection and their performances are compared. The data set for fault detection is obtained from randomly generated OC faults in the T-Type MLI circuit modeled in MATLAB/Simulink environment. For each fault class, 255 signal samples are obtained for two cycles (4 ms) at a sampling frequency of 5 kHz and used as input data to the ML models. The XGBoost model shows the best performance with an accuracy of 98.37%. This shows that it provides fast and reliable fault detection in large data sets. The confusion matrix, accuracy and loss plots are used to analyze the performance of the model and the study demonstrates the applicability of ML-based fault detection in inverter systems. © 2025 IEEE.
Identification of Heavy Work Investment Antecedents: a Research on Digital Leadership
(Frontiers Media SA, 2025) Turan-Torun, B.; Oktaysoy, O.; Kobanoglu, M.S.; Topcuoglu, E.; Yenikaya, M.A.; Topcuoglu, V.; Uygungil-Erdogan, S.
Introduction: In today’s world, which is referred to as the era of digital transformation, the expectations from the leader role are changing significantly and digital leadership understanding draws attention as a reflection of these expectations. This study examines the impact of digital leadership on employees’ job performance, job satisfaction and career satisfaction and examines the mediating role of Heavy Work Investment (HWI) in this relationship. Within the framework of the sub-dimensions of HWI such as Time Commitment (TC) and Work Intensity (WI), the study investigates how employees’ investment in their work is shaped and the guiding role of digital leaders in this process. Methods: This study, which aims to determine the mediating role of HWI in the effect of digital leadership on job performance, job satisfaction and career satisfaction of employees, was conducted with 393 employees working in SMEs operating in the IT sector. The data obtained by convenience sampling methods were analyzed with Smart-PLS program. The study was shaped on the axis of structural equation modeling. Results: The findings of the analysis reveal that digital leadership has a significant effect on employees’ job performance, job satisfaction and career satisfaction. In addition, it has been determined that HWI creates different mediation mechanisms in terms of its sub-dimensions TC and WI in the relationship between digital leadership and employees’ job performance, job satisfaction and career satisfaction. Discussion: The research findings reveal that digital leadership has positive effects on employees’ job performance, job satisfaction and career satisfaction and that HWI plays a partial mediating role in this process. It is noteworthy that while WI is found to be a strengthening factor in this relationship, the effect of TC on job satisfaction and career satisfaction is not significant. This suggests that TC may lead to negative consequences such as burnout and stress instead of increasing employees’ motivation and performance. Moreover, practices that increase employee engagement in the digital transformation process appear to play a critical role in maintaining organizational efficiency and employee well-being in the long run. While the findings are in line with the existing literature, they suggest that a deeper understanding of the interaction dynamics between digital leadership and HWI is needed. Copyright © 2025 Turan-Torun, Oktaysoy, Kobanoglu, Topcuoglu, Yenikaya, Topcuoglu and Uygungil-Erdogan.
Dynamic Interplay of Plants, Microorganisms, and Arthropods: Exploring Ecosystem
(Western Philippines University, 2025) Rişvanlı, M.R.; Atlıhan, R.
Plants, microorganisms, and arthropods continuously interact within the intricate system of the environment. These interactions can often lead to significant crop damage due to diseases and pests; however, there are also circumstances where microorganisms serve as necessary symbiotic plant partners. A range of beneficial microbes in the soil support plant development and health through direct and indirect mechanisms. These beneficial microorganisms, also known as "little helpers" are vital due to their ability to colonize various niches and their ubiquitous presence. Increasingly, such microorganisms are used as biological control agents and microbial fertilizers. They are specific to pests and diseases, with a minimal negative impact on humans and the environment. Plants face numerous environmental challenges and must respond appropriately to survive. Recent studies suggest that beneficial microbial biota in the soil can affect herbivores, highlighting the importance of these biological agents. Specifically, they can reduce the harmful effects of herbivorous insect pests, which damage plants are a major factor in global yield losses. Therefore, they are expected to be essential candidates to replace chemical insecticides in the near future. This review includes recent findings on many aspects of below-ground and above-ground plant-mediated interactions. © 2025, Western Philippines University.
Convergence of a Class of Szász–Kantorovich Operators Based on 2D Appell Polynomials
(Springer, 2025) Ali, M.; Aslan, R.; Özger, F.
In this chapter, we aim to study some direct theorems and local approximation results of a family of Kantorovich operators including 2D Appell polynomials. Next, we establish a connection between summability methods, and the statistical convergence of the related operators. Moreover, we investigate certain graphical examples to show the accuracy and efficiency of the proposed operators in terms of selected parameters. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

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