Sürdürülebilir Kalkınma Amaçları
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- Dertli, Enes(117)
- Kaya, Yunus(51)
- Şahin, Engin(48)
- İspirli, Hümeyra(47)
- Özen, Soner(46)
- Şenay, Volkan(45)
- Pat, Suat(44)
- Can, Zehra(39)
- Bayraktar, Bülent(37)
- Bayram, Sinan(37)
- Korkmaz, Şadan(36)
- Cuce, Erdem(35)
- Ecem Bayram, Nesrin(33)
- Kutlu, Naciye(33)
- Yilmaz, Mustafa Tahsin(32)
- Artar, Musa(31)
- Ertugrul, Mehmet(30)
- Öner, Erdal(30)
- Ayata, Ümit(29)
- Hasar, Ugur Cem(29)
- Esmer, Yusuf(28)
- Mercan, Emin(27)
- Cuce, Pinar Mert(26)
- Özdemir, Akın(25)
- Çolak, Murat(24)
- Bayram, Ozkan(23)
- Kamiloğlu, Aybike(23)
- Sert, Durmuş(22)
- Ayazoglu, Rabil(21)
- Abdioglu, Murat(20)
- Bayram, Nesrin Ecem(20)
- Kadakal, Mahir(20)
- Kara, Yakup(20)
- Kizil, Hamit Emre(20)
- Tozlu, Alperen(20)
- Birinci, Ahmet(19)
- Gerçek, Yusuf Can(19)
- Battal, Fetullah(18)
- Dirican, Ebubekir(18)
- Ergün, Mustafa(18)
Yayınlar
- MakaleYalnız künye2026Scopus SJRQ1The Use of Iron-Cobalt Sulphide Electrodes Decorated with Silver Nanoparticles as a Sensitive and Selective Sensor for Nitrite Determination in Different Meat Products
Anlar Daldal, Pınar; Öztürk Doğan, Hülya; Cinar Topcu, Kübra
In this study, silver nanoparticle-decorated iron cobalt sulphide (Ag@FeCoS₂) nanostructures were synthesized on the surface of a pencil graphite electrode (PGE). The resulting modified electrode obtained was used to determine the nitrite content in four different meat products (pastırma, bologna-type sausage, heat-treated sucuk, and ham) sourced from the same brand and widely consumed in the Turkish market. The fabricated Ag@FeCoS₂ electrode demonstrated high performance in amperometric nitrite detection, with a linear detection range (0.1 to 2.5 mM), high sensitivity (1759 μA mmol/L), and a low detection limit (0.29 μmol/L). The nitrite results obtained by the electrochemical method showed recoveries ranging from 99.3% to 102.5% compared with the spectrophotometric method. In addition, the physicochemical properties of the meat products, including pH, moisture, protein, fat, and ash contents, were characterized as complementary information on the real food matrices analyzed. Statistically significant differences were observed among the investigated products for these parameters. Overall, the developed Ag@FeCoS₂/PGE sensor provides a practical, accurate, and reliable analytical approach for nitrite determination in processed meat products.
- MakaleYalnız künye2026Scopus SJRQ1Perceived Organizational Support and Nurses' Job Performance: The Indirect Roles of Burnout and Quiet Quitting
Koroglu Kaba, Nagihan; Taskiran Eskici, Gülcan; Tiryaki Sen, Hanife
Perceived organizational support is an important organizational resource that may shape nurses' psychological well-being, workplace engagement, and performance-related outcomes. This study examined the relationship between perceived organizational support and nurses' job performance and explored whether burnout and quiet quitting showed indirect associations consistent with mediation. A cross-sectional correlational study was conducted in a tertiary university hospital in the Black Sea Region of Türkiye. Of 980 eligible nurses, 439 responded (response rate: 44.8%); after excluding 14 questionnaires, 425 nurses were included in the final analysis, representing 43.4% of the eligible population. Data were collected using standardized instruments measuring perceived organizational support, burnout, quiet quitting, and individual work performance. Descriptive statistics, Pearson correlation analysis, and multiple mediation analysis using Hayes' PROCESS macro were performed. Perceived organizational support was positively correlated with job performance (r = 0.27, p < 0.001) and negatively correlated with burnout (r = −0.47, p < 0.001) and quiet quitting (r = −0.37, p < 0.001). Burnout (r = −0.31, p < 0.001) and quiet quitting (r = −0.31, p < 0.001) were negatively correlated with job performance. The total effect of perceived organizational support on job performance was significant (b = 0.23, β = 0.27, p < 0.001). The direct association between perceived organizational support and job performance remained significant even after accounting for burnout and quiet quitting (b = 0.10, β = 0.12, p = 0.025). Significant indirect associations were observed through burnout (b = 0.07, β = 0.08, 95% CI = 0.03–0.12) and quiet quitting (b = 0.06, β = 0.07, 95% CI = 0.03–0.09). These findings suggest that supportive organizational environments may be associated with higher job performance among nurses by reducing burnout and quiet quitting. Given the cross-sectional design, these findings should be interpreted as associations consistent with mediation rather than causal evidence. The study was conducted in a single tertiary university hospital in the Black Sea Region of Türkiye, which may limit generalizability to other settings.
- MakaleYalnız künye2026Scopus SJRQ1Problem posing on vectors in space: preservice teachers’ perspectives
Ergin, Ayda Nur; Öztürk, Mesut; Aydin, Tuba Ağirman
This study examines preservice elementary mathematics teachers’ problem-posing processes related to vectors in space. Adopting a qualitative case study design, the problem-posing process was analyzed by treating the phases of orientation, connection, generation, and reflection as analytic units, focusing on the cognitive, linguistic, and reasoning-based actions exhibited at each phase. The findings reveal that preservice teachers experience considerable difficulties in establishing meaningful connections between mathematical structures and real-life contexts, particularly when posing vector problems in three-dimensional environments. In addition, causal attribution processes became salient during the reflection phase, with participants frequently explaining their successes and difficulties by referring to their conceptual understanding, prior experiences, and perceived competence. The results offer implications for the design of theory-based learning environments that support problem-posing processes in mathematics teacher education, particularly for advanced mathematical topics.
- MakaleAçık Erişim2026Scopus SJRQ3YIELD AND QUALITY PERFORMANCE OF DIFFERENT ROW SPACINGS ON CORIANDER GENOTYPES IN SEMI-ARID CONDITIONS
Kalkan, Zeynep; Ozturk, Erdogan; Sefaoglu, Firat; Gul, Volkan; Polat, Taskin; Toktay, Zehra; Mosber, Goltay
Increased plant population causes more in-row stress in plants, potentially reducing yield. Narrow row spacing can reduce stress by increasing plant-to-plant spacing within a row. Therefore, it is important to standardize plant row spacing according to various characteristics to achieve higher yield and quality. The purpose of the 2014–2015 study was to ascertain the impact of varying sowing distances (20, 30, 40, and 50 cm) between rows on the yield and agronomic traits of coriander genotypes (Gamze, Kudret, Telci). Four replications of the field research were set up using a "Randomized Blocks Experimental Design." The results indicated that genotype, row spacing, and the genotype x row spacing interaction had a statistically significant impact on seed output, but the years had no discernible influence on seed yield. The production of seed and oil decreased as row spacing increased, while oil content increased. With 20–40 cm row spacing and 1683.4–1846.5 kg da-1, the genotypes of Kudret and Telci produced the maximum seed production. Although the decrease in the number of branches and umbrellas in narrow row spacing had a negative effect on seed yield, the increase in the number of seeds per umbrella and the number of plants per unit area led to an increase in seed yield. When evaluated based on genotypes, although the Kudret and Telci genotypes gave the best results in terms of seed yield, the Kudret genotype gave the best results regarding essential oil ratio and essential oil yield.
- Derleme MakaleAçık Erişim2026Scopus SJRQ2Titanium and polyetheretherketone for spinal fusion cages: a comparative narrative review of material behavior, structural design, and clinical translation
Hasheminasab; Bazmi, Arian; Hamsianetefagh, Rojin; Tabak, Yasemin; Ashkani, Omid; Mahboubizadeh, Shahram; Colak, Murat; Şensoy, Abdullah Tahir
Cage material selection in spinal fusion requires a trade-off among biological fixation, mechanical compatibility, subsidence resistance, and postoperative imaging. This structured narrative review compares titanium and polyetheretherketone (PEEK) cages across seven domains: osseointegration, modulus matching, endplate load transfer, surface biofunctionality, imaging, additive manufacturing and personalization, and geometry-guided architecture. Peer-reviewed literature indexed in PubMed/MEDLINE, Scopus, and Web of Science was considered from database inception through May 2026, with emphasis on comparative clinical studies, systematic reviews, meta-analyses, and mechanistic studies directly relevant to cage design. Preclinical studies favor porous and additively manufactured titanium for bone–implant integration, but a consistent fusion-rate advantage in anterior cervical discectomy and fusion (ACDF) has not been established. In lumbar surgery, lower subsidence has been reported in selected lateral lumbar interbody fusion cohorts, while results after transforaminal lumbar interbody fusion remain heterogeneous. PEEK retains advantages in radiolucency and intrinsic modulus matching, while surface-modified and porous PEEK can improve biological performance. Subsidence is not determined by chemistry alone; cage footprint, architecture, endplate preparation, fixation, and bone quality remain major modifiers. Current evidence therefore supports procedure and design-specific selection rather than universal replacement of either platform. Long-term comparative data and standardized definitions of fusion and subsidence remain limited.
- MakaleAçık Erişim2026Scopus SJRQ2Enhancing salt stress tolerance in sugar beet via TiO2 nanoparticles: a machine learning approach
Engin, Mustafa Alptekin; Sefaoglu, Firat; Gul, Volkan; Aras, Selim; Kaynar, Dilara
In this study, the biostimulant potential of titanium dioxide (TiO2) nanoparticles was investigated to enhance sugar beet (Beta vulgaris L.) seed response to salt stress. Controlled applications were conducted at different NaCl (0–200 mM) and TiO2 (0–1,800 ppm) levels, and eight key morphological and physiological parameters were evaluated. In the first stage, the individual and interactive effects of the factors were examined using a two-way analysis of variance. Then, various machine learning-based regression models, primarily the Gradient Boosting algorithm, were used to numerically model plant responses. Based on the high-accuracy models, optimal application combinations were determined for each parameter and visualized using graphical surface analyses. Additionally, the most suitable overall TiO2 dosage for each salt level was calculated using a multi-criteria scoring system that assigned equal weight to all parameters. The results revealed that TiO2 exerts a regulatory and protective effect on plants against salt stress, with this effect varying with both dosage level and environmental stress severity. The study demonstrates that nanotechnological initiatives can be integrated into data-driven agricultural strategies to optimize stress management.
AtıfScopus1WoS1OpenAlex1
İncele - MakaleAçık Erişim2026Scopus SJRQ4Experience-Based Decentralized Marketing and Advertising (Ex-Mad): A Blockchain Framework for Transparent and Fair Digital Campaigns
Ayberkin, Doruk; Özen, Üstün
The contemporary digital advertising ecosystem faces critical technical and operational challenges, primarily driven by centralized intermediaries, data opacity, and privacy vulnerabilities. To address these systemic issues, this paper proposes "Ex-Mad," a decentralized architecture leveraging blockchain technology and the Interplanetary File System (IPFS). The proposed framework integrates three core architectural layers: the user entities (advertisers and end-users), the blockchain ledger for immutable transaction recording, and IPFS for distributed content storage. Unlike traditional centralized models, Ex-Mad utilizes smart contracts to automate campaign management and enforce trustless interactions, ensuring verifiable reward distribution based on user contribution without third-party validation. Furthermore, the integration of IPFS optimizes on-chain storage costs by handling large media files off-chain while maintaining data integrity through cryptographic hashes. The system design enhances auditability through a tamper-proof ledger, eliminates single points of failure, and provides a technically robust alternative to current ad-tech intermediaries. This study demonstrates how the proposed architecture improves system efficiency, reliability, and cost-effectiveness in the digital advertising domain.
- MakaleAçık Erişim2026Scopus SJRQ3Chemical Profiling and Biological Activities of Methanol Extracts and Essential Oils From Ferulago Platycarpa Boiss. & Balansa (Endemic): Enzyme Inhibition, Antioxidant, and Antimicrobial Properties
Aygül, İmdat; Öz, Mehmet; Fidan, Muhammed Said; Baltacı, Cemalettin; Akmeşe, Osman; Sefalı, Abdurrahman
This study aimed to evaluate the phytochemical composition and biological activities of Ferulago platycarpa methanol extract (ME) and essential oil (EO). The EO was obtained via hydrodistillation and analyzed by GC-MS, revealing sesquiterpene hydrocarbons as the dominant class, with caryophyllene (65.8%) and α-pinene (9.65%) as the major constituents. The methanol extract was subjected to LC-MS/MS analysis, which identified eleven phenolic compounds, with chlorogenic acid as the most abundant. The extract showed significantly higher total phenolic (1196.22±11.64 mg GAE/100g) and antioxidant (1870.00±17.69 mg QEE/100g) contents compared to the ME. In vitro enzyme inhibition assays demonstrated that the methanol extract exhibited potent inhibitory activity against carbonic anhydrase II (CA-II, ICSO= 0.023 pg/mL), acetylcholinesterase (AChE, ICSO= 110 pg/mL), and butyrylcholinesterase (BChE, IC50= 390 pg/mL). In contrast, the EO showed higher inhibition against α-amylase (IC50= 5920±10.45 pg/mL) and BChE (IC50= 1.32±0.65 pg/mL), while its α-glucosidase showed no inhibition. Antioxidant assays indicated superior activity for the methanol extract compared to the EO. Furthermore, antimicrobial testing revealed that the EO demonstrated broader and more effective antimicrobial action, exhibiting lower MIC and MBC values against several bacterial and fungal strains. Collectively, these results highlight F. platycarpa as a valuable source of bioactive compounds with promising applications in antidiabetic, neuroprotective, antioxidant, and antimicrobial therapies.
- MakaleAçık Erişim2026Scopus SJRQ2Experimental and Modeling Study of Fluidity in Ductile Iron (GGG40)
Coşar, Mehmet; Şüküroğlu, Ebru Emine; Güngör, Kadir; Çolak, Murat
Ductile irons (spheroidal graphite cast irons, SGI) are widely used in automotive and energy systems due to their high strength, ductility, and excellent machinability. The casting quality of these alloys largely depends on the flow and filling behavior of the molten metal, namely its fluidity. In this study, the effects of pouring temperature, filling time, and metallurgical quality on the fluidity of GGG40 ductile iron were investigated through both experimental and numerical approaches. Experimental trials were conducted at pouring temperatures of 1350 °C, 1400 °C, and 1450 °C; metallurgical quality levels of 10%, 50%, and 90%; and filling times of 5 s and 10 s. The fluidity lengths were measured and statistically evaluated. The results revealed that increasing the pouring temperature and metallurgical quality significantly improved fluidity, while shorter filling times allowed the molten metal to travel longer distances before solidification. Modeling studies performed using a commercial casting simulation software showed strong correlation with the experimental data. Microstructural examinations indicated that higher pouring temperatures and improved metallurgical quality led to a more homogeneous distribution of graphite nodules and an increased ferrite fraction in the matrix. The findings provide valuable insights into the influence of process parameters on the fluidity behavior of ductile iron and offer critical design data for enhancing casting quality and productivity in industrial foundry applications.
AtıfScopus1İncele - 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 - MakaleYalnız künye2026Scopus SJRQ3An exergoeconomic analysis of a wastewater treatment plant: investigation and optimization of sludge drying—a case study
Dagci, O.; Tozlu, A.; Berber, A.
The primary parameters in wastewater treatment plant applications are pollutant removal in compliance with standards and energy costs. This study conducts exergy, exergoeconomic, and optimization analyses on the Konya Wastewater Treatment Plant to enhance its energy efficiency. All assessments of the plant were based on actual operational data. Numerical calculations were executed using Engineering Equation Solver software. Exergoeconomic analyses were performed using the Specific Cost Method, while optimization calculations employed the Net Present Value approach. Thermodynamic calculations revealed that the exergy efficiency of the biogas engine was 30.8%, which increased to 39.8% when integrated into a cogeneration system. The overall exergy efficiency of the plant was calculated to be 35.3%, which rose to 58.6% when stabilized sludge was utilized as fuel. During the optimization phase, various drying systems were evaluated, and a hybrid greenhouse-solar-panel drying system was identified as the optimal model. The analyses indicated that the total cost was minimized at the maximum dryness value (70%), suggesting that the greenhouse-type drying system could achieve regional conditions. Compared to thermal and solar energy systems, hybrid systems have been observed to offer significant advantages in first-year costs. Optimization studies reveal that hybrid systems provide 41% greater cost savings in initial investment and operational expenses compared to thermal systems, and 29% greater savings compared to solar energy systems. Meeting the system's energy demand with fossil fuels results in annual emissions of 76,850 tons of CO₂ and 1500 tons of harmful pollutants, equivalent to removing 19,000 cars from traffic or preserving 7300 hectares of forest. Significant soil and ecosystem degradation also occurs. The use of solar energy substantially reduces these environmental impacts, improving air quality and conserving natural resources.
AtıfScopus1OpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ1Corn Oil Oleogel With γ-Oryzanol/β-Sitosterol: Structural, Thermal, Textural, and Oxidative Characterization
Elbir Abca, Tuğba; Gençcelep, Hüseyin
In this study, a corn oil oleogel was prepared using γ-oryzanol and β-sitosterol to create a “healthier solid fat-like” structure aimed at reducing saturated and trans fat consumption. To prepare six different oleogels, a γ-oryzanol:β-sitosterol mixture (60:40) was added to corn oil at concentrations ranging from 6% to 15%. The samples were comprehensively evaluated in terms of oil-binding capacity and color; thermal behavior (including melting/crystallization properties); crystal structure; texture properties (hardness, stickiness, cohesion, and spreadability); molecular interactions and oxidative stability. The findings showed that all formulations had high oil binding capacity and that increasing the oleogelator concentration had a limited effect on oil binding. It has been determined that concentration plays an important role in the product's thermal resistance. Results show that as the oleogelator ratio increases, the structure becomes stronger and more durable; the melting behavior in thermal measurements shifts to higher temperatures. Crystal structure analyses support the formation of an oleogel network, while FTIR results indicate that the structure is formed predominantly through physical interactions. Consequently, it has been demonstrated that corn oil can acquire solid fat-like functional properties through this approach and offers a viable option for developing healthier fat formulations, particularly in spreadable products, margarine, and bakery fats.
- MakaleYalnız künye2026Scopus SJRQ2Effect of Scandium Addition on Recycled A356 Alloy: Experimental Investigation and CALPHAD-Based Thermodynamic Analysis
Kutsal, Ümit; Barutçuoğlu, Burak; Sağnak, Yiğit; Toker, Abidin; Çatar, Recep; Çolak, Murat
This study systematically investigates the influence of scandium (Sc) additions at 0.1, 0.2, and 0.3 wt.% on the melt quality, microstructural characteristics, fluidity, and mechanical performance of A356 aluminum alloy under recycling-oriented casting conditions. The alloy charge consisted of 20% primary aluminum and 80% recycled scrap, while the Fe content was maintained at 0.2 wt.%. Melt treatment was performed by rotary degassing using a commercial flux. Melt quality was assessed using the Reduced Pressure Test (RPT) and bifilm index analysis, whereas casting performance was evaluated through an eight-channel fluidity test. Mechanical behavior was characterized by tensile and Brinell hardness testing, and microstructural and phase analyses were conducted using scanning electron microscopy (SEM) and X-ray diffraction (XRD). To complement the experimental investigation and provide a thermodynamic basis for interpretation, phase stability, solidification behavior, and phase-fraction evolution were examined using Thermo-Calc within the CALPHAD framework. By combining experimental characterization with computational thermodynamic analysis, this study elucidates the effect of Sc content on the processing–microstructure–property relationships of recycled A356 alloys and provides a systematic basis for evaluating Sc modification in high-recycled-content aluminum castings.
- MakaleYalnız künye2026Scopus SJRQ2Economic complexity and energy vulnerability: Does ESG performance matter?
Ongan, Serdar; Kuziboev, Bekhzod; Makhmudov, Samariddin; Matyakubova, Aziza; Imamoglu, Ilyas Kays; Aydin, Rahman; Isik, Cem
Energy vulnerability is a critical concern for achieving energy security and meeting the SDGs. However, the role of economic complexity, which represents a country's production and export diversification, in energy vulnerability has been largely neglected in the literature. This study fills this gap by examining the impact of economic complexity on energy vulnerability for 69 developing countries over the period 2000-2019. For this purpose, MMQR and various instrumental variable (IV) estimation techniques (IV-Quantile, 2SLS, Lewbel, and Kiviet) were used. In addition, ESG indicators were included in the model as instrumental variables to address potential endogeneity issues between economic complexity and energy vulnerability. In doing so, the ESG indicators are also included in the model as instrumental variables to control for the endogeneity of economic complexity. Empirical findings show that economic complexity is associated with lower energy vulnerability across all quantiles. These results reveal that countries with diversified economic structures (higher economic complexity) may be more resilient to energy shocks. Therefore, developing countries should focus on structural reforms and improve their ESG performances to reduce energy vulnerability. In terms of control variables, financial development, digitalization, and human capital are associated with lower energy vulnerability, whereas increases in natural resource revenues are sometimes associated with lower vulnerability levels. This finding suggests that, in the context of energy vulnerability, the predictions of the resource curse theory may not be observed in every case.
- MakaleAçık Erişim2026Scopus SJRQ1The Role of Women's Labor Law and Business Freedom in Achieving Sustainable Development Goals (SDGs) in OECD Countries
Isik, Cem; Ongan, Serdar; Isik, Olcay; Aydin, Rahman; Imamoglu, Ilyas Kays
Business freedom (FR) and women's labor law (WLL) are critical in achieving the SDGs. This research aims to test the effect of these two factors on the SDGs while also considering economic growth and energy efficiency, framing the analysis within the legal, economic, and environmental dynamics of the SDGs holistically. Fourier-augmented PANIC, cross-sectional dependence tests, panel OLS, bootstrap quantile regression, and panel Granger causality tests are applied for this aim. The OLS and bootstrap quantile regression analyses indicate that while FR negatively affects SDG at lower quantiles, these effects turn positive in higher quantiles. This can mean that in countries with high institutional quality, the freedom to do business becomes a tool for supporting sustainable economic development. The WLL has positive effects on SDGs in all quantiles except the 20th quantile. This result clearly shows the decisive role of women's labor rights and legal protections in driving sustainable development. The Granger causality test also supports these results: FR and WLL have a positive Granger causality effect on the SDGs. Additionally, while GDP positively affects SDGs in all quantiles, renewable energy efficiency negatively affects SDGs at low quantiles and has a positive impact at higher quantiles.
AtıfScopus13WoS11OpenAlex12İncele - MakaleAçık Erişim2026Scopus SJRQ2The environmental, social and governance (ESG) dimensions of corporate social responsibility (CSR) on energy security
Isik, Cem; Ongan, Serdar; Kuziboev, Bekhzod; Imamoglu, Ilyas Kays; Amin, Azka
This study investigates the impact of corporate social responsibility (CSR) on energy security (ENSEC) for 34 developed countries. It offers a new institutional perspective by linking CSR to ENSEC within the framework of sustainable development. MMQR, PLFC, and DID methods are used for this analysis. The MMQR results indicate that CSR enhances ENSEC across all percentiles (10%-90%) in both aggregate and disaggregated analyses, across the social, environmental, and governance dimensions. Moreover, the PLFC model's findings reveal that CSR promotes ENSEC in aggregate, regardless of income level. However, in the disaggregated estimates from the PLFC model, the social dimension of CSR has no effect on ENSEC, whereas the environmental and governance dimensions continue to have a positive effect on ENSEC. As for the impact of China's energy investment, only China's fossil energy investment ensures ENSEC. These findings provide important policy insights by empirically validating the role of CSR in addressing long-term energy risks.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ1Measuring Sustainability Under Uncertainty: Introducing Net ESG (N-ESG) Performance
Ongan, Serdar; Isik, Cem; Aydin, Rahman; Imamoglu, Ilyas Kays; Alvarado, Rafael; Ahmad, Munir
This study examines the reliability of environmental, social, and governance (ESG) scores in uncertain environments by introducing a new indicator, Net ESG (N-ESG), for the first time. This new index was calculated by subtracting a new ESG-based sustainability uncertainty index (ESGUI) from ESG scores. This study employed Pedroni (2004) and Westerlund (2007) tests, as well as the DOLS method, for 12 developed countries from 2002 to 2020. It analyzed the impact of economic, geopolitical, climate, and energy price-related uncertainties on both ESG and N-ESG through eight different models. Empirical findings indicate that a 1% change in CPU, GPR, EPU, and OPU indices increases ESG by 0.048, 0.355, 0.111, and 0.044 units, respectively, while the same rate of change decreases N-ESG by -6.501, -18.756, -8.972, and -8.193 units, respectively. These results can be interpreted as ESG scores may not fully reflect the true performance of companies in times of uncertainty, while N-ESG provides a more accurate representation of sustainability practices. These results suggest that policymakers should focus their sustainability policies not only on increasing ESG scores but also on preserving the true value of ESG by reducing uncertainty effects.
AtıfScopus36WoS36OpenAlex38İncele - MakaleAçık Erişim2026Scopus SJRQ1Upper extremity muscle thickness and grip strength following a boccia-based intervention in hemiparetic individuals
Hazar, Emre Berk; Güder, Betul Canbolat; Hazar, Kursat; Gök, Umut Diyar; Alkhamees, Nouf H.; Ibrahim, Zizi M.; Al-Mhanna, Sameer Badri; Batrakoulis, Alexios
Introduction The global prevalence of stroke is increasing, highlighting the critical importance of effective post-stroke rehabilitation. Although boccia was originally designed for individuals with special needs, its potential benefits for stroke rehabilitation, particularly regarding task-related changes in ultrasound-observed muscle characteristics, have not been thoroughly investigated. Purpose This study aimed to examine the association of an 8-week boccia-based intervention with changes in upper extremity muscle thickness and grip strength in individuals with hemiparesis following stroke. Methods A total of 22 stroke survivors were randomly allocated to a boccia group (Boc, n = 12) or a control group (Ctrl, n = 10). While the control group received conventional physical therapy for eight weeks, the boccia group participated in both physical therapy and boccia-based intervention three times per week. Upper extremity muscle thickness and grip strength were assessed before and after the intervention. Results In the control group, a significant increase was observed only in the triceps brachii muscle thickness. In contrast, the boccia group demonstrated statistically detectable increases in forearm muscles (flexor digitorum profundus, flexor digitorum superficialis, pronator teres, and brachioradialis), triceps brachii muscle thickness, and grip strength. Conclusion Incorporating boccia-based intervention into the rehabilitation programs of individuals with hemiparesis after stroke may be associated with broader upper extremity muscle involvement and concurrent improvements in grip strength. These findings should be interpreted as exploratory and hypothesis-generating.
AtıfScopus3WoS3OpenAlex2İncele - MakaleAçık Erişim2026Scopus SJRQ1Does Climate Change Vulnerability Cause Energy Vulnerability in Sustainable Development?
Isik, Cem; Ongan, Serdar; Kuziboev, Bekhzod; Imamoglu, Ilyas Kays
Climate change and energy security are two fundamental vulnerability areas that interact with each other and hold critical importance for sustainable development goals. This research aims to fill the research gap by investigating the effects of climate change vulnerability (CCV) on the energy vulnerability (EV) relationship, which has not been adequately addressed in the literature, using a large panel dataset covering 74 countries and employing various methodological approaches (MMQR, PLFC, DID). The results of the MMQR model indicate that CCV increases EV across all quantiles. According to the results of the PLFC model, it is revealed that CCV on EV varies depending on the economic development level of countries. This effect is higher in low-income countries. The study also employs the DID model to examine the impact of China's foreign energy investments on countries' EV. According to this model, China's fossil-based energy investments, particularly those in the energy sector, increase the EV of countries. While economic development reduces EV across all quantiles, financial development reduces it in the lower and medium quantiles (25% and 50%); urbanization reduces it in the medium and higher quantiles (50% and 75%). All results show that the interaction between EV and CCV is a multidimensional and dynamic process. Accordingly, policymakers should develop integrated strategies that consider environment and energy policies, economic development, investment type, and environmental risks. Lastly, policymakers should consider energy investments from China not only as a tool for their country's economic growth, but also in terms of energy security and sustainability.
AtıfScopus22WoS22OpenAlex23İncele - MakaleYalnız künye2026Scopus SJRQ1Economic, Environmental, Social, and Governance (ECON - ESG) Strategies For Sustainable Development: Theory and a Holistic Evidence From Germany
Isik, Cem; Ongan, Serdar; Aydin, Rahman; Imamoglu, Ilyas kays
To achieve the SDGs, in addition to environmental (E), social (S), and governance (G) indicators, economic components should also be evaluated holistically. In this context, this research aims to test the time series characteristics of the indicators in the ECON-ESG structure, which is created by integrating the economic dimension into the ESG framework for Germany. For this purpose, linear and nonlinear structures, Fourier-based stationarity tests, and Bai-Perron multiple structural break tests were employed to examine the linear and nonlinear structures, stationarity cases, and structural breaks of various ESG and economic indicators (ECON). Findings show that many indicators are nonstationary, undergo structural changes over time, and exhibit nonlinear dynamics. The results indicate that sustainability policies should focus not only on indicator levels but also on the behavioral patterns and vulnerabilities of these indicators over time. In this regard, policymakers need to develop a holistic perspective on the economy and ESG, focusing on long-term and flexible policy designs. The study also offers important implications for how the ECON-ESG framework can serve as a model for both national and international markets, particularly in Germany, a developed and leading country in terms of sustainability. Therefore, the proposed ECON-ESG framework offers both theoretical and practical roadmaps for policymakers, firms, and investors to create long-term ESG strategies in support of the SDGs.
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