Search Results (1,118)

Grain quality in bread wheat is a complex trait determined by multiple genetic factors and their interaction with environmental conditions. This study investigated the genetic architecture of key grain quality traits in the Avalon × Cadenza double haploid (DH) population under contrasting climatic conditions in Kazakhstan. A set of 101 spring-type DH lines was evaluated over three years in three major wheat-growing regions of Kazakhstan, representing northern, central, and southern environments. Grain yield and nine grain quality traits were assessed, including amylose content (Amc, %), test weight per liter (TWL, g/L), grain protein content (GPC, %), gliadin content (Gli, %), glutenin content (Glu, %), grain hardness (GH, %), grain vitreousness (GV, %), falling number (FN, s), and sedimentation value determined in a 2% acetic acid solution (SV, mL). The objectives were to characterize phenotypic variation, examine trait relationships, and identify major and environmentally stable quantitative trait loci (QTLs) controlling grain quality. QTL mapping identified 89 QTLs associated with the nine studied traits, including 82 major QTLs explaining more than 10% of phenotypic variation and 16 stable QTLs detected in two or more environments. The largest numbers of QTLs were found for GPC, SV, and TWL. Stable QTLs were distributed across all three wheat genomes, with important regions detected on chromosomes 1A, 1B, 2D, 4A, 4D, 5A, 6A, and 7D. Several stable QTLs co-localized with genomic regions previously associated with grain quality and developmental regulation, including loci near Wx-B1, Rht-D1, and Ppd-D1, suggesting biologically meaningful links among gluten composition, starch biosynthesis, plant development, and grain physical properties. These results improve understanding of the genetic control of wheat grain quality across diverse environments in Kazakhstan and provide promising targets for marker-assisted selection to combine improved end-use quality with wide environmental adaptation. Full article

Against the backdrop of rising psychological stress and declining physical fitness in cities, how streetscape characteristics and Myers–Briggs Type Indicator (MBTI) personality traits jointly influence cycling willingness across different contexts remains underexplored. Using Shenzhen, China, as a case study, we integrated objective bicycle-sharing travel records from 2021 and subjective pairwise ratings of 1000 street-view images from 960 participants. Cycling willingness was extrapolated through the TrueSkill algorithm and a ResNet50-based model, while street view elements were extracted via DeepLabV3+ and summarized into five indicators. Multivariate regression and multifactor ANOVA were used to test main and moderating effects across six cycling contexts. Results show that (1) Objective cycling indicators and subjective willingness exhibit a pattern of lower values in the center and higher values in the periphery. (2) The Spatial Green Index, Sky Openness Index, Path Freedom Index, and Facility Accessibility Index are the main influencing factors, while the Interface Enclosure Index has the weakest and most context-dependent effect. (3) Intuition/Feeling traits are more salient in leisure and exploration, Judging/Thinking in fitness and transport, and Extraversion/Feeling in social and companion contexts. These findings provide evidence for optimizing urban street cycling spaces in a multi-context and personality-informed manner. Full article

Objective: Clinical remission is a major therapeutic goal in systemic lupus erythematosus (SLE) because of its association with improved long-term outcomes. However, its relationship with patient-reported burden, quality of life, and disease perception remains incompletely understood. This study aimed to evaluate patient-reported outcomes (PROs) in patients with SLE in clinical remission, identify factors associated with impaired health-related quality of life (HRQoL), and assess physician–patient discordance in disease activity perception. Methods: A total of 106 adult patients with SLE in clinical remission according to the definition proposed by Zen et al. were enrolled at a single rheumatology center. Patients were classified into complete remission, clinical remission off corticosteroids, or clinical remission on corticosteroids. Demographic, clinical, and treatment-related data were collected, including organ damage (SLICC-SDI) and disease activity (SLEDAI-2K). Patients completed PRO measures including SF-36, Global Health (GH), pain VAS, STAI-Y1 and STAI-Y2, Zung Depression Scale, Insomnia Severity Index, and HAQ. Disease activity was assessed by both the patient (PGA) and the physician (PhGA); a PGA–PhGA difference >25 mm was considered clinically relevant discordance. Results: Among patients in clinical remission, mild anxiety was observed in 17.1% according to STAI-Y1 and in 27.9% according to STAI-Y2, mild-to-moderate depressive symptoms in 47.1%, and mild insomnia in 25.5%. Of the 106 patients, 24 (22.6%) were in complete remission, 27 (25.5%) in clinical remission off corticosteroids, and 55 (51.9%) in clinical remission on corticosteroids. Patients in clinical remission on corticosteroids showed worse patient-reported outcomes than those in complete remission or clinical remission off corticosteroids. In multivariable analyses, poorer physical HRQoL was independently associated with functional disability, pain intensity, and depressive symptoms, whereas poorer mental HRQoL was independently associated with trait and state anxiety. Clinically relevant physician–patient discordance was observed in 22.6% of the cohort and was almost exclusively driven by higher patient than physician scores. Pain intensity emerged as the most robust independent correlate of discordance. Conclusions: A substantial patient-reported burden may persist in patients with SLE despite clinical remission. Pain, psychological distress, insomnia, and functional disability contribute to impaired HRQoL, while physician–patient discordance appears to reflect a broader mismatch between inflammatory disease control and the patient’s lived experience of illness. These findings support a more comprehensive and patient-centered approach to remission assessment in SLE. Full article

The mental health of children/adolescents is closely related to family functioning. However, there are factors that impair family functioning, such as parental psychopathology, parenting styles, and beliefs about physical punishment, which may require intervention by psychology and psychiatry. Given the lack of literature, the main objectives of this research are: to explore the association between parenting styles and the personality traits that constitute the Dark Triad, to analyze the association between beliefs about physical punishment and the personality traits that make up the Dark Triad, and to test the mediating effect of beliefs about physical punishment between the traits of the Dark Triad and parenting styles. The sample consisted of 290 parents of school-age children/adolescents between 7 and 16 years old, consisting of 231 female and 59 male participants. The main results suggest that Machiavellianism and narcissism are positively associated with authoritarian and permissive parenting styles and psychopathy with authoritarian; personality traits are associated with beliefs about physical punishment, and beliefs about physical punishment influence the relationship between the Dark Triad and parenting styles. In short, parental psychopathology seems to have an influence on the way parents educate their children and on their beliefs about physical punishment. Full article

This study investigates the relationship between creative personality and academic achievement in first-year secondary education students, as well as the predictive capacity of creative personality on performance across different subject areas. The sample comprised 125 students who completed Garaigordobil’s Creative Personality Scale, and their academic grades were collected as performance indicators. Academic achievement was analyzed by distinguishing between STEM subjects (biology, technology, and mathematics) and non-STEM subjects (Spanish language, geography, arts, physical education, French, and English). The findings saw a positive association between creative personality and academic achievement in both STEM and non-STEM domains. Moreover, statistically significant sex differences emerged: female students obtained higher scores than male students on creative personality traits associated with problem identification and problem solving, as well as on dimensions related to enjoyment of diverse games and openness to new experiences. These results underscore the relevance of creative personality as a determinant of academic achievement across both scientific and non-scientific areas. They also highlight the importance of fostering creativity as an educational strategy aligned with sustainability goals. This study offers practical implications for the design of evidence-based psycho-pedagogical interventions that incorporate creativity as a means to promote responsible, equitable, and sustainable learning. Full article

Background: Improving grain yield in wheat remains a top priority, requiring integrated breeding and genetic strategies. This complexity poses a major challenge, driven by quantitative polygenic inheritance, environmental influence, and intricate genetic interactions. We investigated genetic factors and their interactions for agronomic and yield traits in two high-yielding winter wheat cultivars adapted to the US Southern Great Plains. Methods: A bi-parental mapping population consisting of 221 F₇ recombinant inbred lines (RIL) derived from ‘TAM 204’ and ‘Iba’ was evaluated for three years in 11 Texas environments. Both parents and RIL population were genotyped on Illumina NovaSeq 6000 and sequences were aligned to IWGSC RefSeq v1.0 using Bowtie2 for SNP calling. For QTL analyses, each trait was analyzed by individual environment, across multiple environments and mega-environments. Results: A total of 86 QTL were mapped for five traits and among them 32 were consistent in more than one environment or analysis. Among consistent QTL, four were pleiotropic to more than one agronomic or yield traits mapped on chromosomes 2B (57.18, 59.47 Mb) and 2D (29.34, 40.64 Mb). The consistent QTL on chromosome 2D (29.34 Mb) was pleiotropic to GYLD, DTH, TW, TKW and explained maximum phenotypic variation for all traits, representing photoperiod gene (Ppd-D1). Another QTL on chromosome 2D (40.64 Mb) was pleiotropic to GYLD and TW and based on the physical position comparisons it likely reflects a unique locus in Iba. The pleiotropic consistent QTL Qgyld.tamu.2B.59 from TAM 204 represents Ppd-B1 gene. Moreover, it is more likely that Qdth.tamu.5B.575 represents the Vrn-B1 gene in Iba. A total of 23 digenic epistatic interactions involved consistent QTL for all traits. Amongst these, epistatic interactions between the consistent QTL on 2B (57.18 Mb) and 2D (29.34 Mb) were observed for GYLD, DTH and TKW. Conclusions: Our findings revealed key allelic diversity and interaction effects in elite wheat cultivars, paving the way for marker development for identified pleiotropic loci and implementation in marker-assisted selection and recombination breeding. Full article

Habits are important factors that help guide the performance of health behaviours, yet little is known about how habits form following a major context change. To observe the habit trajectory of physical activity engagement and assess the relationship between habit trajectory and theoretical determinants of habit formation, a longitudinal design was used to track physical activity habit trajectory over 12 weeks during COVID-19 lockdowns. Participants (N = 41) selected a cue related to physical activity, to assist in increasing their engagement. At baseline, and every two days, participants reported their behaviour, habit, and cue exposure. Trait self-control, history of physical activity behaviour, and demographic information were also collected at baseline. Physical activity habit strength significantly increased from baseline to the final assessment 12 weeks later; however substantial variability was observed in growth over time and neither the linear nor the logarithmic growth model provided a good fit at the overall level. Nonetheless, higher levels of self-control were significantly related to faster habit strength formation. Individual differences in habit formation require further investigation to better understand why some individuals form habits while others do not. Full article

Background: Cancer survivors frequently experience persistent physical and psychological sequelae, including impaired physical function, fatigue, anxiety/depressive symptoms, and reduced health-related quality of life (HRQoL). Exercise is an effective non-pharmacological intervention; however, comparative evidence between multicomponent training (MCT) and aerobic training (AT) using a multidomain framework remains limited. Methods: In this randomized controlled parallel-group trial, 47 cancer survivors (mean age 63.0 ± 8.9 years) were allocated to a 24-week supervised MCT programme (n = 16), an AT programme (n = 16), or a non-exercise control group (CG; n = 15). Outcomes were assessed at baseline and post-intervention including body composition (BIA), physical performance, fatigue (FSS), anxiety (STAI-Y1/Y2), depressive symptoms (BDI), and HRQoL (EORTC QLQ-C30). Results: Fat mass decreased in both MCT (p = 0.005) and AT (p = 0.034), whereas arm circumference increased only in MCT (p < 0.001). Significant Group × Time interactions were observed for major physical performance outcomes; improvements were broader in MCT, while AT showed its largest change in aerobic endurance. Between-group contrasts indicated greater gains with MCT than AT for chair-stand (p = 0.046), sit-and-reach (p = 0.048), and handgrip strength (p = 0.049). Significant interaction effects were also observed for fatigue and psychological outcomes (FSS: p = 0.003; STAI-Y1 and STAI-Y2: p < 0.001; BDI: p < 0.001) and for HRQoL global health (p = 0.003), with larger improvements in MCT than AT for fatigue, state anxiety, and depressive symptoms (all p < 0.05), but not for trait anxiety (p > 0.05). Conclusions: A 24-week supervised MCT programme produced broader benefits than AT alone across physical function and selected psychological outcomes in cancer survivors. These findings support the incorporation of multicomponent exercise into survivorship care as a feasible and effective strategy for addressing multidimensional treatment sequelae. Full article

Background: Breast cancer poses not only a physical health threat but also significant emotional and identity challenges for women, particularly regarding femininity and body image. Understanding how patients adapt psychologically can guide effective psychosocial interventions. Objective: This study aimed to evaluate psychological adaptation, coping strategies, illness acceptance, and body image in women with breast cancer and identify factors associated with better adjustment. Methods: A cross-sectional study was conducted among 30 women aged 22–66 undergoing treatment at the Wielkopolskie Centrum Onkologii, Poland. Standardized tools included the Mini-MAC scale (coping strategies), Acceptance of Illness Scale (AIS), and Body Image Scale (BIS). Descriptive statistics and correlations were analyzed. Results: Most participants exhibited a constructive coping style, with positive redefinition and fighting spirit being predominant. Some women simultaneously showed elements of a destructive coping style, including helplessness and hopelessness, indicating complex emotional reactions. Overall, participants demonstrated high illness acceptance, despite notable body image-related discomfort, particularly shame, reduced perceived attractiveness, and appearance-related anxiety. While age did not correlate significantly with coping or body image, a significant negative association was found between age and illness acceptance, with younger women showing better adjustment. Conclusions: Psychological adaptation to breast cancer is multidimensional and individualized, dependent on personality traits, internal resources, and social support. Findings highlight the need for holistic, patient-centered psychosocial care, addressing both emotional adaptation and body image-related distress, including support for intimacy and prosthetic interventions. Individualized strategies can improve quality of life and functional outcomes during and after cancer treatment. Full article

In competitive sport, an athlete’s success is often linked to their physical strength, skill, and overall athletic ability. However, physical talent alone does not fully account for sporting success, as psychological and other personal factors also play a crucial role in achieving high performance. Thus, the present cross-sectional study aimed to examine the relationships between perfectionistic personality characteristics, achievement goal orientations, and trait anxiety among young football players using correlation and regression analyses. Participants consisted of 152 male U16 football players (M = 15.67, SD = 0.54) competing in the official league organized by the Cyprus Turkish Football Federation (CTFF). Data were collected using the Sport Multidimensional Perfectionism Scale (SMPS), the 2 × 2 Achievement Goals Questionnaire for Sport (AGQ-S), and the State Trait Anxiety Inventory (STAI). Pearson’s correlation analyses and simple linear regression models were conducted to examine relationships among variables and to identify significant predictors of trait anxiety. Correlation analyses revealed that trait anxiety was positively associated with concern over mistakes (r = 0.28, p < 0.01), perceived parental pressure (r = 0.17, p < 0.05), and mastery-avoidance goals (r = 0.37, p < 0.01), whereas it was negatively associated with mastery-approach goals (r = −0.18, p < 0.05). Regression analyses indicated that concern over mistakes significantly predicted trait anxiety (β = 0.25, p = 0.003), while perceived parental pressure was not a significant direct predictor (β = 0.10, p = 0.21). In addition, mastery-avoidance goals significantly predicted trait anxiety (β = 0.43, p < 0.001), whereas mastery-approach goals were negatively associated with trait anxiety (β = −0.28, p < 0.001). In conclusion, the findings indicate that perfectionistic concerns and mastery-avoidance goals are key factors associated with higher trait anxiety, whereas mastery-approach orientations may serve as a protective factor among young football players. Full article

Despite the importance of surface microbiota in postharvest quality, the effects of mechanical damage on microbial succession in Hypsizygus marmoreus during refrigerated storage remain insufficiently understood. In this study, 16S rRNA gene and ITS amplicon sequencing were used to characterize the bacterial and fungal communities on intact and mechanically damaged H. marmoreus during 15 days of storage at 4 °C. Storage time, rather than mechanical damage, was the main driver of whole-community variation, although mechanical damage accelerated visible spoilage assessed qualitatively. Bacterial communities showed pronounced temporal turnover, shifting from early Firmicutes-rich assemblages to late-stage Proteobacteria-dominated communities, especially Pseudomonas. In contrast, fungal communities remained largely dominated by Ascomycota throughout storage, although mechanically damaged mushrooms showed a greater late-stage occurrence of opportunistic yeasts such as Candida. Predicted functional and phenotypic analyses further suggested late-stage increases in Gram-negative, aerobic, biofilm-forming, stress-tolerant, and potentially pathogenic bacterial traits. Because these traits were inferred from 16S rRNA gene-based prediction rather than measured directly, they should be interpreted cautiously. Overall, the results suggest that maintaining the physical integrity of H. marmoreus during postharvest handling may help preserve quality and delay the emergence of spoilage-associated microbial traits during refrigerated storage. Full article

Secondary salinization in mulched drip-irrigated cotton fields of arid oasis–desert transition zones in Xinjiang imposes coupled root-zone constraints, including salt-induced aggregate structural degradation and ionic stress. However, field evidence remains limited on whether integrating a structure-oriented soil conditioner with humic acid can generate stable improvements across growing seasons. A two-year field experiment with a randomized block design (three replicates) was conducted to evaluate four treatments: control (CK), polyacrylamide (PAM, 30 kg ha⁻¹), humic acid (HA, 450 kg ha⁻¹), and PAM + HA. Soil physical and chemical properties and aggregate-size distribution were determined after harvest, while enzyme activities and root traits were assessed at the flowering–boll stage. Structural equation modeling (SEM) and random forest (RF) analysis were used to explore soil–root–yield linkages and identify key soil predictors associated with yield variation. Treatment effects were most evident in the 0–20 cm layer, with PAM + HA showing the greatest overall improvement. In the topsoil, PAM + HA lowered soil pH from 8.35 to 7.88 in 2024 (p < 0.05), increased soil organic carbon (SOC) to 4.29 g kg⁻¹ in 2025 (p < 0.01), and increased NO₃⁻–N to 25.51 and 30.27 mg kg⁻¹ in 2024 and 2025, respectively (both p < 0.05). PAM + HA also enhanced cellulase activity from 6.17 to 16.85 mg glucose g⁻¹ 72 h⁻¹ in 2024 and increased seed cotton yield to 6683.69 and 5996.89 kg ha⁻¹ in 2024 and 2025, with a 51.0% yield increase over CK in 2024. SEM showed that root development had the strongest direct positive effect on yield (β = 0.79, R² = 0.63; goodness of fit (GOF) = 0.74), while random forest identified alkaline phosphatase, cellulase, and NO₃⁻–N as the main yield predictors (out-of-bag R² (OOB R²) = 0.672, p = 0.01). This study elucidated the effects of the combined application of a structure-oriented soil conditioner and humic acid on the root-zone environment of mulched drip-irrigated cotton fields in arid regions, providing a theoretical basis for the coordinated regulation of soil structural improvement and nutrient activation in saline–sodic cotton fields. Full article

Digital phenotyping is increasingly recognized as an essential tool for the quantitative analysis of fungal morphology, particularly in controlled indoor cultivation systems where large numbers of fruiting bodies must be assessed consistently and non-destructively. While YOLOv8-based deep learning approaches have previously been applied in phenotypic analyses of edible mushrooms, the applicability of newer YOLO architectures to fungal phenotyping remains largely unexplored. In this study, we present a controlled-environment digital phenotyping framework for indoor mushroom cultivation and conduct a systematic benchmarking evaluation of YOLOv11 for phenotypic segmentation in comparison with YOLOv8. Using bottle-cultivated Pleurotus ostreatus and Flammulina velutipes as representative edible basidiomycetes, we performed a controlled comparison of YOLOv8-seg and YOLOv11-seg using identical datasets, preprocessing pipelines, and hyperparameter configurations. The results demonstrate that YOLOv11 achieves segmentation performance comparable to that of YOLOv8 across all evaluated metrics (ΔmAP_50–95 < 0.01) while substantially reducing computational complexity, including fewer trainable parameters, lower FLOPs, and decreased gradient load. Validation against caliper-based physical measurements revealed moderate, trait-dependent agreement, whereas inter-model consistency between YOLOv8 and YOLOv11 remained consistently high across diverse morphological and segmentation scenarios. These findings suggest that recent developments in object detection architectures can improve computational efficiency without compromising phenotypic measurement fidelity. More broadly, this study highlights the importance of periodically evaluating emerging detection architectures within biological phenotyping pipelines to ensure scalable, sustainable, and high-throughput fungal phenotyping under controlled-environment cultivation systems. Full article

Background: Personality traits, particularly those belonging to the Dark Triad (Machiavellianism, narcissism, and psychopathy), may influence violent behavior and adaptation to the prison environment. Methods: The study included 250 male inmates from Bucharest-Jilava Penitentiary, aged between 20 and 67 years. The Emotional Stability Scale (IPIP), the Buss–Perry Aggression Questionnaire, and the Short Dark Triad Scale (SD3) were administered. Statistical analyses included Pearson correlations, multiple linear regressions, and binary logistic regressions. Results: Emotional stability was negatively correlated with aggression (r = −0.48, p < 0.01). Psychopathy significantly predicted physical aggression (t = 11.96, p < 0.001) and anger (t = 9.53, p < 0.001), whereas Machiavellianism predicted verbal aggression (t = 3.14, p = 0.002) and hostility (t = 4.73, p < 0.001). Higher levels of physical aggression were associated with a lower likelihood of participation in educational activities (Exp(B) = 0.93, p = 0.032). Conclusions: The influence of Dark Triad traits on aggression is differentiated, with psychopathy exerting the strongest effect. Low emotional stability increases vulnerability to hostile behaviors. These findings support the need for multidimensional psychological assessments and tailored intervention programs designed to enhance violent offenders’ engagement in educational activities aimed at impulse control and empathy development within the prison environment. Full article

This study employs a hybrid methodology that integrates a physical process-based radiative transfer (RT) model and machine learning regression to assess three key wheat crop traits: leaf area index (LAI), leaf chlorophyll content (LCC), and canopy chlorophyll content (CCC). The non-imaging hyperspectral data collected proximally using the ASD FieldSpec Spectroradiometer were spectrally resampled to 269 spectral bands ranging from 400 to 1000 nm for the retrieval of these crop traits. Upon validating against in situ measurements, good accuracies in terms of NRMSE values, 10.65%, 11.63%, and 13.85%, were achieved for LAI, LCC, and CCC, respectively. Full article