Objective: This study aims to explore the relationships among hopelessness, cognitive flexibility, intolerance of uncertainty, and perceived stress in a non-clinical sample by proposing a multiple mediation model. It was suggested that hopeless individuals have low cognitive flexibility and high intolerance of uncertainty; consequently, they are more likely to perceive stress. Method: The participants of this study comprised 302 university students (46.7% female and 53.3% male) between 18 and 40 years of age who were recruited from a state university in Turkey. To collect data, Beck Hopelessness Scale, Cognitive Flexibility Inventory, Intolerance of Uncertainty Scale, and Perceived Stress Scale were applied. Results: The results showed that hopelessness is negatively correlated with cognitive flexibility and positively correlated with intolerance of uncertainty and perceived stress. Cognitive flexibility has been found to be negatively correlated with intolerance of uncertainty and perceived stress. There is also a positive correlation between intolerance of uncertainty and perceived stress. The mediation of cognitive flexibility and intolerance of uncertainty in the relationship between hopelessness and perceived stress is also statistically significant in the model, and all variables explain approximately 37.0% of the variance in perceived stress. Conclusion: The findings of the study are considered to provide a guide for mental health professionals and researchers. Amaç: Bu araştırma klinik olmayan bir örneklemde, çoklu aracılık modeli önererek umutsuzluk, bilişsel esneklik, belirsizliğe tahammülsüzlük ve algılanan stres arasındaki ilişkileri incelemeyi amaçlamaktadır. Araştırmada umutsuz bireylerin düşük düzeyde bilişsel esnekliğe ve yüksek düzeyde belirsizliğe tahammülsüzlüğe sahip olduğu; dolayısıyla algılanan stres düzeylerinin daha yüksek olacağı varsayılmıştır. Yöntem: Araştırmanın katılımcıları Türkiye’deki bir devlet üniversitesine devam eden ve yaşları 18 ile 40 arasında olan 302 öğrenciden (%46.7’si kadın % 53.3’ü erkek ) oluşmaktadır. Verilerin toplanmasında, Beck Umutsuzluk Ölçeği, Bilişsel Esneklik Envanteri, Belirsizliğe Tahammülsüz Ölçeği ve Algılanan Stres Ölçeği kullanılmıştır. Bulgular: Araştırma bulguları, umutsuzluğun bilişsel esneklik ile negatif yönde, belirsizliğe tahammülsüzlük ve algılanan stres ile pozitif yönde ilişkili olduğunu göstermiştir. Bilişsel esneklik; belirsizliğe tahammülsüzlük ve algılanan stres ile negatif yönde ilişkili bulunmuştur. Ayrıca belirsizliğe tahammülsüzlük ve algılanan stres arasında pozitif yönde ilişki vardır. Bilişsel esneklik ve belirsizliğe tahammülsüzlüğün, umutsuzluk ve algılanan stres arasındaki ilişkide aracılığı istatistiksel olarak anlamlıdır ve tüm değişkenler algılanan stresteki varyansın yaklaşık %37’sini açıklamaktadır. Tartışma: Araştırma sonuçlarının ruh sağlığı alanında çalışan profesyoneller ve araştırmacılar için yol gösterici olacağı düşünülmektedir.

Lamiaceae (Labiatae) is the third largest family in Turkey. It is represented by 48 genera and 782 taxa ( 603 species, 179 subspecies and varieties) in the country, 346 taxa ( 271 species, 75 subspecies and varieties) of which are endemic. Endemism ratio is ca. % 44. The largest genera in the country based on the taxon number are Stachys L.(118 taxa), Salvia L.(107 taxa), Sideritis L.(54 taxa), Phlomis L.(53 taxa), Teucrium L. (49 taxa), Thymus L.(47 taxa). Endangered genera according to IUCN criteria; Salvia L.(43 taxa), Stachys L.( 19 taxa) Thymus L. (16 taxa), Sideritis L.(14 taxa), Teucrium L. (10 taxa), Lamium L.(8 taxa), Phlomis L. and Scutellaria L. ( 7 taxa), Micromeria Bentham and Nepeta L. ( 6 taxa), Ajuga L.and Origanum L. (5 taxa), Marrubium L..( 4 taxa), Acinos Miller, Satureja L. and Calamintha Miller (2 taxa), Ballota L., . Dorystaechas Boiss. & Heldr. ex Bentham, Cyclotrichium (Boiss.)Manden. & Scheng. and Lopanthus Adans.(1 taxon). Lamiaceae has 160 taxa endangered in Turkey of which are categories; 43 taxa critically endangered, 59 taxa endangered and 58 taxa vulnerable. Phytogeographic distribution of rare and endemic Turkish Lamiaceae taxa are 79 taxa in the Mediterranean, 63 taxa in the Irano-Turanien, 5 taxa in the Euro-Siberian phytogeographic region, and 11 taxa in unknown or multiregional phytogeographical elements.

This article looked at the situation of university teachers in Poland during the COVID-19 epidemic as a result of their need to work remotely. The study was conducted in the first stage (I) on 21 academicians and in the second stage (II) on 18 academicians. The study was conducted to determine the level of productivity of the study group in their online learning competencies in relation to their well-being, as well as during the height, and weakening of the epidemic. The results of the survey conducted, especially during the height of the epidemic, indicated varying levels of self-evaluation of their productivity in relation to their digital competencies linked to the need for them to work remotely, which also affected their psychological well-being. Several cases of respondents indicated a negative assessment of their own productivity, and thus their quality of work life and sense of psychological well-being. However, some respondents, on the contrary, showed a desire to work, the need for self-improvement, and to continue their mission of teaching.

To fully characterize the formation and evolution of galaxies, we need to observe their stars, gas, and dust on resolved spatial scales. We present the ALPINE-CRISTAL-JWST survey, which combines kiloparsec-resolved imaging and spectroscopy from the Hubble Space Telescope, JWST, and Atacama Large Millimeter/submillimeter Array for 18 representative main-sequence galaxies at z = 4–6 and log ( M * / M ⊙ ) > 9.5 to study their star formation, chemical properties, and extended gas reservoirs. The cospatial measurements resolving the ionized gas, molecular gas, stars, and dust on 1–2 kpc scales make this a unique benchmark sample for the study of galaxy formation and evolution at z ∼ 5, connecting the Epoch of Reionization with the cosmic noon. In this paper, we outline the survey goals and sample selection, and present a summary of the available data for the 18 galaxies. In addition, we measure spatially integrated quantities (such as global gas metallicity), test different star formation rate indicators, and quantify the presence of H α halos. Our targeted galaxies are relatively metal rich (10%–70% solar), complementary to JWST samples at lower stellar mass, and there is broad agreement between different star formation indicators. One galaxy has the signature of an active galactic nuclei (AGN) based on its emission-line ratios. Six show broad H α emission suggesting type 1 AGN candidates. We conclude with an outlook on the exciting science that will be pursued with this unique sample in forthcoming papers.

Rhabdomyosarcoma (RMS), the most common pediatric soft tissue sarcoma, comprises embryonal (ERMS) and alveolar (ARMS) subtypes with distinct histopathological features, clinical outcomes, and therapeutic responses. To better characterize their molecular distinctions, we performed untargeted plasma proteomics and metabolomics profiling in children with ERMS (n = 18), ARMS (n = 17), and matched healthy controls (n = 18). Differential expression, functional enrichment (GO, KEGG, RaMP-DB), co-expression network analysis (WGCNA/WMCNA), and multi-omics integration (DIABLO, MOFA) revealed distinct molecular signatures for each subtype. ARMS displayed elevated oncogenic and stemness-associated proteins (e.g., cyclin E1, FAP, myotrophin) and metabolites involved in lipid transport, fatty acid metabolism, and polyamine biosynthesis. In contrast, ERMS was enriched in immune-related and myogenic proteins (e.g., myosin-9, SAA2, S100A11) and metabolites linked to glutamate/glycine metabolism and redox homeostasis. Pathway analyses highlighted subtype-specific activation of PI3K-Akt and Hippo signaling in ARMS and immune and coagulation pathways in ERMS. Additionally, the proteomics and metabolomics datasets showed association with clinical parameters, including disease stage, lymph node involvement, and age, demonstrating clear molecular discrimination consistent with clinical observation. Co-expression networks and integrative analyses further reinforced these distinctions, uncovering coordinated protein–metabolite modules. Our findings reveal novel, subtype-specific molecular programs in RMS and propose candidate biomarkers and pathways that may guide precision diagnostics and therapeutic targeting in pediatric sarcomas.