Yazarlar

  • ArticleAçık Erişim2026
    Oxidant-Antioxidant Status of Commercial Matcha Beverages According to Flavor Category, Preparation Medium, and Preparation Temperature: A Comparative Evaluation

    Özenir, Ç; Çubuk, M; Altınsoy, C; Ağagündüz, D

    • SDG 2 · Açlığa Son
    RDL Kalıcı Kaydıİncele
  • Review ArticleAçık Erişim2026
    Plant Stress Signaling in a Cross-Kingdom Context: Metabolic Control of Redox and ROS-Ca2+-Hormone Interactomes

    Warda, M; Bolat, M; Tekin, S; Çinar, B; Atasever, A; Şengül, E; Çelebi, F; Cinar, A; Taspinar, MS; Ahmed, BY

    • SDG 2 · Açlığa Son
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  • ArticleAçık Erişim2026
    Çiçek Aşısı ve Osmanlı Devleti’nden Türkiye Cumhuriyeti’ne Uygulanma Yöntemleri

    Kantar, Seda

    Bu çalışma, insanlık tarihinin en ölümcül salgınlarından biri olan çiçek hastalığına karşı geliştirilen aşı uygulamalarının tarihsel evrimini, Osmanlı Devleti’nden Türkiye Cumhuriyeti’ne uzanan bir çerçevede ele almayı amaçlamaktadır. Yalnızca bir tıbbi gelişmenin izini sürmekle kalmayan bu çalışma, aynı zamanda halk sağlığı politikalarının kurumsallaşmasını, devletin sağlık alanındaki modernleşme süreçlerini ve bilimsel bilginin toplumsal yaşama entegrasyonunu da gözler önüne sermektedir. Araştırma, tarihsel yöntem temelinde arşiv belgeleri, tıbbi metinler, dönemin resmi yazışmaları ve ikincil kaynaklara dayanmaktadır. Elde edilen bulgular, Osmanlı Devleti’nin variolasyon gibi geleneksel yöntemlerden Edward Jenner’in bilimsel aşısına geçişi hızla benimsediğini, bu süreci telkihhaneler, tıp mektepleri ve aşılama idareleri ile kurumsallaştırdığını göstermektedir. Cumhuriyet döneminde Refik Saydam Hıfzıssıhha Enstitüsü aracılığıyla Osmanlı’dan devralınan aşı üretim ve uygulama mirası bilimsel temellerle yeniden yapılandırılmış; yürütülen kapsamlı ve sistemli aşılama kampanyaları sayesinde çiçek aşısı köylere kadar ulaştırılmış, böylece Türkiye hem Dünya Sağlık Örgütü’nün küresel eradikasyon programına etkin biçimde katkı sağlamış hem de 1970’li yıllarda çiçek hastalığını tamamen ortadan kaldırmayı başarmıştır.

    • SDG 2 · Açlığa Son
    • SDG 3 · Sağlık ve Kaliteli Yaşam
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  • ArticleAçık Erişim2026
    Comparative evaluation of the cytotoxic and antioxidant effects of apricot (Prunus armeniaca L.) fruit and traditionally prepared apricot jam: Differential impacts on healthy and cancer cell lines

    Güven, Zühal Bayrakçeken; Gülmüş, Cennet

    Cancer is a complex, multifactorial disease in which the toxic side effects of drugs hinder patients' quality of life and adherence to treatment. During this period, people try to cope with the negative effects of treatment and disease by consuming natural foods. This study compared the antiproliferative and antioxidant effects of apricot (Prunus armeniaca L.) fruit and traditionally prepared jam. Cytotoxic effects were investigated using the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) method in L929, A549, CaCo-2, Hep3B, MCF-7 and PC-3 cell lines. Antioxidant capacity was determined by DPPH, CUPRAC, and TEAC methods. While jam exhibited cytotoxic effects in healthy cells at concentrations exceeding 400 µg/mL, the fruit aqueous extract did not reduce cell viability. In cancer cells, the fruit aqueous extract showed a concentration-dependent cytotoxic effect, with 64.60% and 58.8% cytotoxicity observed against the Hep-3B cell line at 800 and 1600 µg/mL, respectively. Notably, jam was found to promote cancer cell proliferation at higher concentrations, a critical observation that contrasts sharply with the fruit extract's antiproliferative effects. In all experiments, the aqueous extract showed a higher antioxidant effect than the jam. The results indicate that the antiproliferative and antioxidant effects of jam compared to fruit were reduced due to added sugar and high temperature.

    • SDG 2 · Açlığa Son
    • SDG 3 · Sağlık ve Kaliteli Yaşam
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  • ArticleAçık Erişim2026
    Coğrafi İşaret Tescilli Lök Tatlısının Sürdürülebilir Gastronomi Bağlamında Değerlendirilmesi

    Bakkaloğlu, Zeynep

    Bu çalışma Erzincan iline ait coğrafi işaretli bir ürün olan Kemaliye Lök Tatlısı/Eğin Lök Tatlısı’nın sürdürülebilir gastronomi açısından değerlendirilmesini amaçlamaktadır. Bu amaçla Kemaliye Eğin Lök Tatlısı’nın yerel mutfak kültüründeki kullanımı, üretim aşamaları değerlendirilerek, gastronomi alanında sürdürülebilirliğin sağlanması için neler yapılabileceği ile ilgili çözüm önerileri sunulmuştur. Çalışmada nitel araştırma yöntemlerinden yarı yapılandırılmış görüşme tekniği kullanılmıştır. 32 kişinin katılımcı olarak yer aldığı çalımada, katılımcılara demografik ve sürdürülebilirlik kapsamında hazırlanan sorular yöneltilmiştir. Katılımcıların sorulara verdiği yanıtlardan elde edilen bilgilere göre katılımcıların, coğrafi işaret almış Lök Tatlısı hakkında yeterli bilgiye sahip olduğu belirlenmiştir. Ancak tatlının tarihi ve hazırlanışı ile ilgili yazılı bir tarihi kaynak bulunmamaktadır. Bununla birlikte katılımcılar, Lök Tatlısı’nın tanıtıldığını ve ilçeye gelen yerli ve yabancı turistler tarafından bu tatlının sıklıkla tercih edildiğini belirtmiştir. Ancak bu düşünceye sahip olan katılımcıların tatlıyı gelecek nesillere öğretme oranı düşük bulunmuştur (%43.75). Bununla birlikte ürünün ticari olarak restoranların tatlı menülerinde yer alması ve ilçe dışındaki işletmelerde, hatta yurt dışında satılmasına olumlu yaklaştıkları belirlenmiştir. Bu yaklaşımla beraber katılımcıların, ürünün ekonomik katkıya dönüşmesinin faydalı olacağı kanaatine sahip olduğu görülmektedir. Bu konu ile ilgili az sayıdaki katılımcı ise ürünün orijinalliğinin bozulması endişesi taşımaktadır. Çalışmda son olarak Lök Tatlısı’nın tanıtımı, korunması ve sürdürülebilirliği hakkında edinilen veriler doğrultusunda önerilerde bulunulmuştur.

    • SDG 2 · Açlığa Son
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  • ArticleAçık Erişim2026
    İnsansız Hava Aracı ve Görüntü İşleme Destekli Yasaklı Bitki Tespiti

    Kose, Oguz

    Bu çalışmada insansız hava aracı (İHA) ile tarım arazileri üzerinden alınan görüntüler ile YOLOv11 ve YOLOv26 görüntü işleme algoritmaları kullanılarak tarım arazilerinde ekilmesi yasak olan bitkilerin tespiti gerçekleştirilecektir. Çalışma yazılım kiti ve donanım kiti olmak üzere iki aşamadan oluşmaktadır. Yazılım kitinde görüntü işleme algoritmalarının veri seti, eğitimi, testi ve program ara yüzü geliştirilecektir. Kullanılacak algoritmaların aynı veri seti üzerinden eğitimleri yapılacak, performans metrikleri incelenip en iyi performansı veren algoritma yazılım kitinde kullanılacaktır. Ara yüzün geliştirilmesi ve diğer tüm yazılım bileşenleri Python dilinde yapılmıştır. Donanım kiti ise projenin tüm donanımsal öğelerini içermektedir. Tasarlanan yazılım kiti, donanım kitinde bulunan Raspberry pi içerisinde çalışacaktır. İHA ve şarj istasyonu kendisine ayrılan alan içerisinde muhafaza edilecektir. Önerilen çalışma ile tarım arazilerinde ekilmesi yasak olan bitkilerin tespiti yapılarak erken müdahale edilmesinin avantajı sağlanacaktır. Ayrıca yasak bitkilerinin ekiminin tespiti yapılarak kolluk kuvvetlerinin hem personel hem de zaman ihtiyacını minimuma indirmesi planlanmaktadır.

    • SDG 2 · Açlığa Son
    • SDG 15 · Karasal Yaşam
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  • ArticleAçık Erişim2026
    Annelerin Tamamlayıcı Beslenmeye Yönelik Tutum ve Uygulamaları ile Bebeklerin Tamamlayıcı Beslenmeye Geçiş Davranışlarının İncelenmesi

    Akça, Kamile; Şahin, Ayşe; Özcan, Meltem

    Amaç: Annelerin tamamlayıcı beslenmeye yönelik tutum ve uygulamaları ile bebeklerin tamamlayıcı beslenmeye geçiş davranışlarının incelenmesi amacıyla yapılmıştır. Yöntem: Araştırma, tanımlayıcı ve kesitsel türde olup Mart-Temmuz 2023 tarihleri arasında 6–24 ay arası bebeği olan 220 anne ile yapılmıştır. Veriler, ‘‘Anneye ve Bebeğe ait Tanıtıcı Bilgi Formu’’, ‘‘Annelerin Tamamlayıcı Beslenmeye Yönelik Tutum ve Uygulamaları Anketi’’ ve ‘‘Tamamlayıcı Beslenmeye Geçiş Davranışları Ölçeği’’ kullanılarak toplanmıştır. Bulgular: Çalışmaya katılan annelerin %57.3’ünün emzirmeye devam ettiği belirlenmiştir. Annelerin, tamamlayıcı beslenmede en sık kullandığı besinin yoğurt olduğu, %60.9’unun beslenmeye ilişkin bilgiyi sağlık çalışanından aldığı, %53.6’sının birkaç gün ara ile yeni besine geçtiği saptanmıştır. Tamamlayıcı beslenmeye geçiş davranışları ölçeğinin puan ortalamasının 110.24±17.50 olduğu tespit edilmiştir. Sonuç: Çalışmada; gelir düzeyi, annenin çalışma ve emzirmeye devam etme durumu, bebeğin cinsiyeti, çocuk sayısı ve tamamlayıcı beslenmeye geçiş zamanının, tamamlayıcı beslenmeye geçiş davranışlarını etkilediği sonucuna varılmıştır. Annelerin tamamlayıcı beslenme konusunda bilgi düzeylerinin artırılmasına yönelik eğitim faaliyetlerinin planlanması, tamamlayıcı beslenme sürecinin daha doğru ve sağlıklı geçirilmesini sağlayacaktır.

    • SDG 2 · Açlığa Son
    • SDG 3 · Sağlık ve Kaliteli Yaşam
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  • ArticleAçık Erişim2026
    Mersin’de Yaşayan Yörük Topluluklarının Sofra Kültürü: Nitel Bir Araştırma

    Varol, Emre; Üstüner, Aykut; Özer, Esin Dilay

    Bu araştırmada, Mersin bölgesinde yaşayan Yörük topluluklarının sofra kültürü; göçebe yaşam pratikleri, kültürel kimlik ve miras aktarımı bağlamında incelenmiştir. Temmuz 2025'te Mut, Tarsus, Mersin ve Erdemli’de, yaşları 21 ile 93 arasında değişen ve %69,8'i kadın olan 43 katılımcıyla yarı yapılandırılmış görüşmeler gerçekleştirilmiş; elde edilen veriler tematik ve frekans analiziyle değerlendirilmiştir. Bulgular, Yörük mutfağının göçebe yaşam biçimiyle uyumlu biçimde şekillendiğini ortaya koymaktadır. Frekans açısından öne çıkan başlıca kategoriler ve yemekler; hamur işleri (yufka ekmek, bazlama, ıspanak böreği), çorbalar (topalak, mercimek, arabaşı), kış hazırlıkları (turşu, sebze konserveleri, tarhana), süt ürünleri (yoğurt, peynir, tereyağı) ve kümes hayvanları yemekleri (tavuk çorbası, arabaşı çorbası, tavuk dolması) olarak sıralanmaktadır. Çeşitlilik açısından en zengin kategoriler; kış hazırlıkları (n=50), sebze yemekleri (n=46) ve hamur işleri (n=42) olarak sıralanmaktadır. Kültürel sürekliliğin somut göstergeleri olarak; toplu yemek pişirme uygulamalarında beliren “Köpekçi Garı” ve “Tomgaatçı” gibi unvanlar, alan ocak ve saçayağı gibi geleneksel mutfak ekipmanlarının kullanımı ile yer sofrası düzeni öne çıkmaktadır. Çalışma, bu zengin gastronomik mirasın korunması ve sürdürülebilirliği için UNESCO somut olmayan kültürel miras kriterleri çerçevesinde belgelenmesini, coğrafi işaretle tescillenmesini ve gastronomi turizmi kapsamında değerlendirilmesini önermektedir.

    • SDG 2 · Açlığa Son
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  • ArticleYalnız künye2026
    Enhanced wheat (Triticum aestivum) performance: effects of PGPR-enriched on yield and biochemical profiles

    Yildiran Sogurtlupinar, Sevda; Inanç, Merve; Keçe, Yusuf Murat; Tarhan, Leyla; Sogutmaz Ozdemir, Bahar; Sahin, Fikrettin; Turan, Metin; Günes, Adem

    Plant growth-promoting rhizobacteria (PGPR) are increasingly applied in sustainable agriculture to enhance plant growth, improve yield, and induce tolerance to stress condition while reducing chemical inputs. Tuff, a porous volcanic material with high water-holding and cation exchange capacity, was used as a carrier to inoculate and deliver PGPR to the plant root zone. This two-year greenhouse study evaluated the effects of PGPR-inoculated tuff (T1) compared with non-inoculated tuff (T0, control) on the growth, physiological performance, antioxidant enzyme activities, and biochemical profiles of 'K & imath;rik' wheat. Large tuff (9 & times; 14 & times; 11 mm) were inoculated with approximately 4.8 & times; 1010 cfu/g PGPR and applied to the root zone of each plant. PGPR application increased grain yield by 20.43% and significantly improved chlorophyll content, stomatal conductance, membrane permeability, and photosynthetic rate. Antioxidant enzymes, including CAT, SOD, and POD, showed increases of 11.43, 14.83, and 10.71%, respectively. Levels of IAA (13.59%), GA (7%), and SA (9.27%) were elevated, whereas ABA decreased by 16.67%. Amino acid and organic acid contents were generally enhanced, along with significant increases in nutrient element concentrations, most notably P (18.49%), Cu (10.61%), and Fe (9.99%); in contrast, Na and B concentrations decreased by 5 and 3.48%, respectively. These findings indicate that PGPR-inoculated tuff can improve nutrient availability and growth and physiological performance in wheat, offering a low-cost, scalable biological input to complement conventional fertilization in sustainable wheat production. Further field studies comparing this approach with standard chemical fertilization are needed to confirm its practical applicability and support broader adoption.

    • SDG 2 · Açlığa Son
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  • ArticleYalnız künye2026
    Impact of chitosan–thyme and chitosan–rosemary essential oil coatings on biochemical, oxidative, and volatile profiles of Turkish fermented sausage ‘sucuk’ during ripening

    Demirok Soncu, Eda; Özdemir Orhan, Necla; Küçükkaya, Seren; Arslan Solmaz, Betül; Soyer, Ayla

    In the current study, the effects of chitosan coatings combined with thyme or rosemary essential oils (EOs), applied as natural antifungal agents to prevent superficial fungal growth on the surface of sucuk, were investigated throughout the ripening period in terms of lipolytic, proteolytic, and oxidative changes, as well as volatile composition and sensory properties. Six sucuk groups were produced by covering the casing surface on day 4 of production with distilled water (DW), acetic acid (AA), potassium sorbate (PS), chitosan (C), chitosan+thyme EO (CT), or chitosan+rosemary EO (CR). Superficial fungal growth was reduced approximately 4-log units in chitosan+EO treatments compared to the control. The lowest fungal count (log CFU/cm2) was observed in PS-treated sucuk (0.60), followed by CT (2.06) and CR (2.09), whereas this value was 5.95 in the DW group (p<0.05). Coatings containing EOs retarded lipid oxidation as well as free fatty acid (FFA) formation, as the lowest values were recorded in the CT and CR groups, with FFA contents of 4.75% and 4.96% and thiobarbituric acid reactive substances values of 0.60 and 0.60 mg MA/kg, respectively. The lowest sulfhydryl reduction (32%) was also observed in the CT and CR groups, compared to the PS, in which the reduction was 39% (p<0.05). The fatty acid profile and sensory properties of the sausages were not adversely affected by the superficial chitosan–EO coatings. A total of 46 and 67 volatile compounds were identified in sausages and casings, respectively. The major volatile constituents of sucuk in the CT and CR groups were acids, terpenes, sulfur compounds, and aldehydes, accounting for 10.41–17.07%, 58.89–66.88%, 5.36–6.70%, and 12.68–12.85% of the total volatile composition, respectively. In conclusion, CT or CR coating can be considered an alternative antifungal approach to synthetic treatments for preventing superficial fungal growth without adversely affecting the characteristic quality properties of sucuk.

    • SDG 2 · Açlığa Son
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  • ArticleAçık Erişim2026
    Identifying Agricultural Crops with Similar Spectral Properties Using Machine Learning Classifiers and SenseFly eBee SQ Multispectral UAV Images

    Akar, Özlem; Akar, Alper; Bayata, Halim Ferit

    This study investigates the use of vegetation indices for accurately identifying crops with similar spectral characteristics as grapes, apricots, tomatoes, wheat, and clover for enhancing crop monitoring and management. A 59-hectare area in Karakaya Village, located in the Üzümlü district of Erzincan Province, Türkiye, was selected as the study area. This area contains crops with varying textures, object height, and spectral characteristics. In the study, multispectral (MS) images were acquired using the SenseFly eBee SQ unmanned aerial vehicle (UAV), and subsequently processed to generate an orthophoto, digital terrain model (DTM), and digital surface model (DSM). Fifteen vegetation indices, Gabor texture features, and object heights were integrated into MS bands. Crop classification was performed using two high-accuracy machine learning algorithms: Random Forest (RF) and Support Vector Machine (SVM). According to the overall classification accuracy results, the use of vegetation indices improved classification accuracy by 9% for RF and 5% for SVM. Incorporating Gabor texture features with the top-performing indices (MACARI1, OSAVI, ADVI, and DVI) further increased accuracy to 20% for RF and 12% for SVM. Additionally, including object height alongside the indices and Gabor features resulted in further accuracy gains of 10% and 11% for RF and SVM, respectively. F1-score, specificity, and accuracy analyses, along with various kappa statistics, also the significant improvements in classification performance. According to the McNemar test, the χ^2 values comparing orthophoto images with those incorporating indices, texture, and object height ranged from 6.353 to 35.556 for RF, and from 7.220 to 11.021 for SVM. Since all χ^2 values exceeded 3.84, the results indicate statistically significant improvements in the classification accuracy at the 95% confidence interval.

    • SDG 2 · Açlığa Son
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  • ArticleAçık Erişim2026
    Therapeutic effects of Malus floribunda extract on letrozole-induced insulin resistance in rats

    Ozdemir Sarikaya, Bengul; Gul, Huseyin Fatih; Gozcu, Sefa; Yayla, Muhammed

    The present study aimed to investigate the therapeutic effects of Malus floribunda fruit ethanol extract on metabolic parameters and insulin signalling in a letrozole-induced PCOS-associated insulin resistance model. 60 female Sprague-Dawley rats were randomly allocated into five groups: Healthy Control, IR, IR + Metformin (300 mg/kg), IR + MF250, and IR + MF500. Treatments were administered orally for 15 days. Fasting insulin, HOMA-IR, OGTT, lipid profile, and reproductive hormones were assessed. Histological and IHC analyses of InR, IRS-1, and IRS-2 were performed on muscle and adipose tissues. The IR group exhibited significantly elevated insulin (p<0.001), HOMA-IR (p<0.001), testosterone, triglycerides, LDL, and total cholesterol levels, with reduced HDL and oestrogen levels compared to controls. Treatment with M. floribunda, particularly at 500 mg/kg, significantly improved insulin levels (p<0.001), HOMA-IR (p<0.001), lipid profile, and hormonal parameters. IHC analysis revealed suppressed InR, IRS-1, and IRS-2 expression in muscle and adipose tissues of the IR group, which was restored following M. floribunda treatment. M. floribunda extract administration, particularly at 500 mg/kg, significantly improved glucose homeostasis, lipid metabolism, hormonal balance, and insulin signalling pathway components (InR, IRS-1, IRS-2) in a letrozole-induced PCOS-associated insulin resistance model. These findings suggest that M. floribunda may serve as a promising alternative therapeutic agent for insulin resistance management.

    • SDG 2 · Açlığa Son
    • SDG 3 · Sağlık ve Kaliteli Yaşam
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  • ArticleYalnız künye2026
    Impact of PGPR-enriched tuff on biochemical characteristics, antioxidant enzyme activities and hormonal responses in walnut saplings

    Yıldıran Söğürtlüpınar, Sevda; İnanç, Merve; Keçe, Yusuf Murat; Tarhan Çelebi, Leyla; Soğutmaz Özdemir, Bahar; Şahin, Fikrettin; Turan, Metin; Güneş, Adem

    Walnut (Juglans regia L.) is one of the most economically important tree nuts worldwide due to its nutritional and health-promoting properties. The use of plant growth-promoting rhizobacteria (PGPR) in agriculture is increasing attention as a sustainable alternative to intensively used chemical inputs; however, their application to walnut seedlings and their effects on changes in plant hormones, antioxidant enzyme activities and biochemical metabolites are not yet fully understood. Therefore, this study aims to investigate the effects of PGPR-enriched tuff on the hormonal responses and metabolite profiles of walnut seedlings. The experiment was conducted for two consecutive years in a greenhouse using the ‘Şebin’ cultivar. Medium-sized tuff pieces (8 × 8 × 11 mm) were inoculated with approximately 2.9 × 109 colony-forming units (cfu) g−1 PGPR applied directly to the root zone of each seedling. The results of the experiment showed that the application of tuff enriched with PGPR significantly improved physiological and biochemical properties compared to the control group. Significant increases were recorded in chlorophyll content, stomatal conductance, membrane permeability, and photosynthetic rate. Antioxidant enzyme activities and concentrations of key plant hormones including indole acetic acid (IAA), gibberellic acid (GA), and salicylic acid (SA) reached their maximum levels under PGPR treatment, while abscisic acid (ABA) showed the highest accumulation in the control. Amino acid and organic acid contents of walnut leaves generally increased with PGPR application. Most nutrient element concentrations were enhanced. PGPR-inoculated tuff demonstrated strong potential as a sustainable soil amendment to improve walnut seedling nutrient uptake, physiological performance, and stress tolerance.

    • SDG 2 · Açlığa Son
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  • ArticleYalnız künye2026
    Evaluation of the Relationship Between Sarcopenia, Nutritional Status, and Frailty in Older Patients with Cancer

    Doğan Akagündüz, Diğdem; Şahin, Hilal; Akagündüz, Baran

    Sarcopenia, malnutrition, and frailty frequently coexist in older adults with cancer, adversely affecting treatment tolerance, functional independence, and survival. While comprehensive geriatric assessment (CGA) is the gold standard for frailty evaluation, its resource-intensive nature limits routine use, and simple tools are needed. This cross-sectional study included 291 patients aged ≥70 years with histologically confirmed cancer, evaluated at a oncology outpatient clinic between January and November 2024. Sarcopenia was defined according to EWGSOP2 criteria: handgrip strength (HGS) and skeletal muscle index (SMI) by bioelectrical impedance analysis (BIA). Nutritional status was assessed with the Mini Nutritional Assessment–Short Form (MNA-SF), and frailty was defined as G8 ≤ 14. Additional measures included SARC-F, Mini-Mental State Examination (MMSE), and Geriatric Depression Scale. The median age was 74 years, and 53% were male. Possible sarcopenia was identified in 39.5%, confirmed sarcopenia in 33.7%, severe sarcopenia in 26.8%. Nutritional risk was observed in 66.7%, and frailty in 44.7%. Frailty correlated strongly with nutritional status and moderately with muscle strength and mass. In multivariable analysis, low HGS, low SMI, nutritional risk, and depression independently predicted frailty. ROC analysis showed, G8 with HGS and nutritional assessment improved predictive accuracy. These findings highlight that simple measures enhance frailty detection and may support personalized care.

    • SDG 2 · Açlığa Son
    • SDG 3 · Sağlık ve Kaliteli Yaşam
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  • ArticleYalnız künye2026
    Measuring food insecurity in Türkiye: validation of the four domain food insecurity scale (4D-FIS)

    Memiç-İnan, Cansu; Başpınar, Büşra; İmrol, Fatih

    The aim was to conduct the Turkish validity and reliability study of the Four-Domain Food Insecurity Scale (4D-FIS). In this cross-sectional study, confirmatory factor analysis (CFA) was used to test the validity of the 4D-FIS scale. The 4D-FIS scale consists of four domains: quantitative, qualitative, psychological, and social. The Cronbach-α of the 4D-FIS scale was 0.84, indicating that the scale was reliable. CFA confirmed the four-factor structure of the 4D-FIS, with fit indices indicating good model fit. The Turkish 4D-FIS scale was found to be valid and reliable for evaluating food security in the quantitative, qualitative, psychological, and social domains.

    • SDG 2 · Açlığa Son
    • SDG 3 · Sağlık ve Kaliteli Yaşam
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  • ArticleYalnız künye2026
    Pomegranate seed powder in bread: effects on acrylamide formation, melanoidin development, antioxidant capacity and sensory quality

    Karagöl, Gülbin; Yalçın Pehlivan, Ece; Rakıcıoğlu, Neslişah

    Pomegranate seed powder (PSP), a phenolic-rich by-product of the food industry, was incorporated into white and whole wheat bread formulations to investigate its effects on physicochemical properties and Maillard reaction–related compounds. PSP was added at levels of 2.5%, 5%, 7.5%, and 10%, and the resulting breads were evaluated for proximate composition, acrylamide levels and melanoidin content, antioxidant capacity (QUENCHER–DPPH assay), and sensory attributes. PSP incorporation exhibited a concentration-dependent effect on Maillard reaction products. Acrylamide levels decreased at moderate inclusion levels (5%) compared to the control, whereas higher inclusion levels (≥7.5%) resulted in a relative increase. In contrast, melanoidin content and antioxidant capacity increased progressively with increasing PSP levels, reaching maximum values in whole wheat bread supplemented with 10% PSP (3.15 g/100 g and 8.11 mmol TE/kg, respectively). A consistent association was observed between melanoidin formation and antioxidant capacity across all formulations. Sensory evaluation indicated a gradual decline in acceptability with increasing PSP levels; however, all samples remained above the acceptable threshold. Overall, the findings suggest that moderate PSP incorporation (around 5%) may provide a favourable balance between reduced acrylamide formation and enhanced antioxidant properties, while maintaining acceptable sensory quality.

    • SDG 2 · Açlığa Son
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  • ArticleAçık Erişim2026
    Elemental, fatty acid, volatile and amino acid profiles coupled with antidiabetic, antioxidant, and enzyme inhibitory activities of selected edible insects from Uganda

    Aydin, Bilge; Aydoğan, Zeynep; Çağlar Yildirim, Özge; Yuca, Hafize; Arslan, Mehmet Enes; Atila, Alptuğ; Göger, Gamze; Demirci, Betül; Waiswa, Denis; Taşer, Ahmet

    Edible insects are traditionally consumed in Uganda and are increasingly recognized as nutritionally valuable and environmentally sustainable food resources. In this study, the nutritional composition, chemical profiles, biological activities, and safety of three commonly consumed edible insects—Ruspolia differens (green and brown morphs) and Macrotermes nigeriensis—were comprehensively evaluated. Extraction yields differed markedly among species, with R. differens morphs showing substantially higher methanolic yields (46.74–48.93%) than M. nigeriensis (22.57%). Fatty acid analysis revealed oleic acid as the predominant component (42.2–44.1%), followed by palmitic and linoleic acids, indicating a lipid profile rich in mono- and polyunsaturated fatty acids. Volatile profiling demonstrated species-specific aroma signatures, with M. nigeriensis characterized by acetic acid and pyrazines, while R. differens morphs exhibited high levels of isovaleric acid and diverse aromatic compounds. Amino acid analysis showed that methanolic extracts generally contained higher concentrations and broader profiles than aqueous extracts, with taurine, glutamic acid, alanine, and ethanolamine as the dominant components. Elemental analysis by ICP–MS indicated appreciable levels of essential minerals (K, Ca, Fe, Zn, and Se), while potentially toxic elements (As, Cd, Hg, and Pb) were detected at low and variable concentrations depending on species and morph. In enzyme inhibition assays, R. differens methanolic extracts exhibited strong α-glucosidase inhibition (up to 88.16%), comparable to acarbose, whereas α-amylase and cholinesterase inhibition remained limited. Antioxidant activity was moderate, with M. nigeriensis aqueous extract showing the highest DPPH• and ABTS•⁺ scavenging capacities among samples. Antimicrobial activity was generally weak to moderate, with methanolic extracts showing greater efficacy, particularly against Candida albicans. Cytotoxicity and genotoxicity assessments using human dermal fibroblasts and lymphocytes revealed no significant adverse effects at the tested concentrations, with cell viability remaining above 80% and chromosomal aberration indices comparable to negative controls. Overall, the results demonstrate that Ugandan edible insects possess favorable nutritional profiles, selective bioactivities, and an acceptable preliminary safety profile, supporting their potential as alternative food resources. However, controlled rearing, standardized processing, and further studies on bioavailability and long-term consumption are warranted.

    • SDG 2 · Açlığa Son
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  • ArticleAçık Erişim2026
    Lyophilised walnut milk powders enriched with vitamin B12 and L-Carnitine for vegan athletes

    Acar, Hatice Kübra; Yangılar, Filiz

    This study was to investigate the characteristic properties of functional powder formulations produced by the lyophilization technique, enriched with vitamin B12 and L-carnitine, and containing walnuts, walnut milk, walnut milk powder, and lupin flour, aiming to support the nutritional needs of vegan athletes. Vitamin B12 analysis of vegan powder samples were performed using an HPLC device. Vitamin B12 levels ranged from 3.64% to 3.92%. Sample B (15% carnitine added) exhibited the highest protein content (31.08%), while sample C (20% carnitine added) the most total phenolic content (192 mg GAE/100 g), suggesting a strong potential for oxidative stress mitigation. The formulations displayed high dispersibility (87.28%–92.74%) and yield efficiency (90.68%–92.82%), indicating excellent solubility and practical applicability. Sample B showed the highest antioxidant activity as DPPH (6.61 mmol TE/kg), FRAP (6.57 mmol Fe²⁺/kg), and CUPRAC (8.00 mg TE/g). Additionally, sample C presented the highest energy density (448.73 kcal/100 g) while sample K (520 mg/100 g). The inclusion of 15% L-carnitine in sample B significantly enhanced palatability and overall acceptability.

    • SDG 2 · Açlığa Son
    • SDG 3 · Sağlık ve Kaliteli Yaşam
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  • ArticleYalnız künye2026
    Beyond Conventional Methods: Predicting Novel Modified Groundwater Drought Indices with Advanced Computing Paradigms

    Katipoğlu, Okan Mert; Kartal, Veysi; Aktürk, Gaye; Kilinc, Huseyin Cagan; Elshaboury, Nehal; Yamany, Mohamed S.; Pande, Chaitanya Baliram

    To achieve accurate and reliable predictions of groundwater drought, it is essential to incorporate relevant meteorological variables and apply advanced predictive methodologies capable of modeling their complex interrelationships. In this study, groundwater drought prediction models were developed based on the seven modified drought indices, which are obtained from groundwater levels and multiple meteorological parameters. The analysis focuses on four districts in Türkiye (Tekirdağ-Çorlu, Tekirdağ-Çerkezköy, Amasya-Merzifon, and Amasya-Centre), which are hereafter referred to collectively as the study areas. Three machine learning models were applied such as a standalone Artificial Neural Network (ANN) and two hybrid models, ANN integrated with Shuffled Frog Leaping Algorithm (SFLA-ANN) and Firefly Algorithm (FFA-ANN). The hybrid metaheuristic algorithms were chosen for their ability to model nonlinear and complex relationships between meteorological variables and groundwater levels, which traditional statistical methods cannot fully capture. Modified drought indices were employed to represent the groundwater drought better. The findings indicate that the hybrid FFA-ANN model generally provides the highest predictive accuracy for most indices, with coefficient of determination values frequently exceeding 0.90. In contrast, the ANN model occasionally outperforms the hybrid FFA-ANN model in terms of root mean square error (RMSE) for specific stations within the study areas. These results highlight the robustness of hybrid ANN approaches, especially FFA-ANN, in predicting groundwater drought under changing climate conditions. The novelty of this study is the modification of meteorological drought indices widely used to represent groundwater drought and the application of hybrid metaheuristic ANN models to estimate these indices in Türkiye. The results demonstrated that such models provide a reliable framework for predicting groundwater drought and provide decision-makers with advanced tools for water resources management, irrigation planning, and climate adaptation strategies.

    • SDG 2 · Açlığa Son
    • SDG 6 · Temiz Su ve Sanitasyon
    • SDG 13 · İklim Eylemi
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  • ArticleYalnız künye2026
    Prediction of soil moisture via feature selection, model optimization, and climate data integration

    Katipoğlu, Okan Mert; Kartal, Veysi; Akiner, Muhammed Ernur; Terzioğlu, Zeynep Özge; Kılıç, Zeyneb

    Soil moisture is vital for water resource management and agricultural productivity. With the growing availability of reanalysis data and advanced machine learning methods, it is essential to explore reliable, scalable models for long-term estimation. Comparing different algorithms enables a comprehensive assessment of their strengths and limitations in modeling complex soil moisture dynamics under varying climatic and agricultural conditions. In this study, soil moisture data for the period 1950–2022 from six stations in the Konya Closed Basin of Türkiye were estimated using Echo State Networks (ESN), Adaptive Boosting (AdaBoost), Deep Neural Networks (DNN), and Light Gradient Boosting Machine (LGBM). Precipitation (PR), solar radiation (RSDS), wind speed (WS), mean temperature (Tave), maximum temperature (Tmax), minimum temperature (Tmin), and potential evapotranspiration (ET0) values calculated by the Thornthwaite equation were used as input variables of the models, and soil moisture (SM) was determined as the output variable. Model performance was evaluated using statistical metrics and visualizations derived from training, validation, and test datasets. In addition, a feature selection approach was used to identify the most effective parameters for soil moisture estimation. The analysis showed that the DNN model achieved the highest accuracy, with R2 values ranging from 0.87 to 0.97. The second most successful model was AdaBoost or ESN, while the LGBM model showed higher deviations than the others. These findings reveal that artificial intelligence-based models can effectively estimate soil moisture.

    • SDG 2 · Açlığa Son
    • SDG 13 · İklim Eylemi
    • SDG 15 · Karasal Yaşam
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