Search Results (2,654)

Amid intensified global technological competition and increasing restrictions on cross-border knowledge transfer, enhancing the ability to identify, integrate, and recombine diverse technological knowledge has become a critical strategy for strengthening the innovation capabilities of multinational enterprises (MNEs). Based on multidimensional proximity theory and dynamic capability theory, this study takes R&D units within Huawei’s global R&D network as the research object. It constructs a cross-border collaboration framework under the dual boundaries of organization-geography to explore the differences in the role of technological distance on the innovation performance of R&D units in different cooperation scenarios. This study also introduces technological diversification as a mediating variable to reveal the conversion path from heterogeneous knowledge input to innovation output. The findings indicate: (1) A nonlinear relationship exists between technological distance and innovation performance. In local-internal and international-internal collaborations, this relationship follows an inverted U-shaped pattern, whereas in local-external collaborations, it shows a significant positive effect. (2) In international-external collaboration, due to the dual absence of geographical and organizational proximity, the positive effect of technological distance on innovation performance is not significant. (3) The technological diversification capability of R&D units is a crucial mediating factor in the process by which technological distance affects innovation performance, thereby fostering the efficiency of heterogeneous knowledge absorption and recombination. The study examines the micro-mechanisms underlying cross-border collaborations and capability building in MNEs’ R&D units from dual perspectives of contextual fit and capability development, providing theoretical support and practical guidance for MNEs to optimize international technological collaboration mechanisms and improve innovation performance. Full article

Background: Population ageing is a global challenge, prompting ageing-in-place policies in Hong Kong to support community-dwelling older adults while reducing healthcare costs. Yet, their impact on health-related quality of life (HRQoL) remains underexplored amid Hong Kong’s long life expectancy and growing older population. Traditional surveys are costly and time-consuming, while routinely collected registration data offers a large, efficient source for health insights. This study uses enhanced administrative data to track HRQoL trajectories and inform policy. Methods: This is a prospective, open-ended longitudinal study, enrolling adults aged 50 or older from a collaborating non-governmental organization in Hong Kong’s Southern District. Data collection, started in February 2021, occurs annually via phone and face-to-face interviews by trained social workers and volunteers using a standardized questionnaire to assess individual (e.g., socio-demographics), environmental (e.g., social support via Lubben Social Network Scale-6), biological (e.g., chronic illnesses), functional (e.g., cognition via Montreal Cognitive Assessment), and HRQoL (e.g., EQ-5D-5L) factors. A secure online system links health and service use data (e.g., service utilization like community care visits). Analysis employs descriptive statistics, group comparisons, correlations, growth modelling to identify health trajectories, and structural equation modelling to test a revised quality-of-life framework. Sample size (projected 470–580 after two follow-ups from a 2321 baseline) is based on power calculations: 300–500 for latent class growth analysis (LCGA) class detection and 200–400 for structural equation modelling (SEM) fit (e.g., RMSEA < 0.06) at 80% power/α = 0.05, simulated via Monte Carlo with a 50–55% attrition. Discussion: This is the first longitudinal HRQoL study in Hong Kong using enhanced non-governmental organization (NGO) administrative data, integrating social–ecological and HRQoL models to predict trajectories (e.g., stable vs. declining mobility) and project care demands (e.g., increase in in-home care for frailty). Unlike prior cross-sectional or inpatient studies, it offers a scalable model for NGOs, informing ageing-in-place policy effectiveness and equitable geriatric care. Full article

Background/Objectives: The Adolescent and Adult Coordination Questionnaire (AAC-Q) is a brief self-report tool developed to assess daily performance difficulties related to Criterion B of Developmental Coordination Disorder (DCD) across adolescence and adulthood. Despite the AAC-Q’s clinical and research relevance, its psychometric properties have not yet been comprehensively evaluated. This study aimed to examine the structural, construct, and criterion validity, internal consistency, and test–retest reliability of the AAC-Q and to establish normative percentile bands for Spanish adolescents and young adults (AAC-Q-ES). Methods: A cross-sectional psychometric study was conducted in 800 typically developing participants (200 adolescents, 600 young adults). Measurement properties—including factor structure, internal consistency, test–retest reliability, construct validity, and criterion validity—were assessed following COSMIN guidelines. Percentile cut-offs were calculated for adolescents and young adults. Results: The AAC-Q-ES revealed a three-factor structure with excellent fit indices (CFI = 0.95–0.98; RMSEA = 0.060–0.067). Internal consistency was good (α = 0.76–0.83), and test–retest reliability was excellent (ICC = 0.90, p < 0.001). Criterion validity with the Adult DCD/Dyspraxia Checklist was very high in adults (r = 0.972, p < 0.001), and construct validity in adolescents was confirmed through moderate correlations with the Flamingo Balance Test (r = −0.352, p < 0.01). Age- and sex-specific percentile bands were established. Conclusions: The AAC-Q-ES is a psychometrically robust, culturally adapted, and efficient tool for assessing functional difficulties related to DCD in Spanish adolescents and young adults, facilitating both clinical and research applications. Full article

Online customer reviews contain rich signals about product value but are difficult to convert into strategy-ready evidence. This study proposes an end-to-end framework that maps review text to the Value Proposition Canvas (VPC) and quantifies alignment between user needs and product performance. Using customer reviews for three Samsung Galaxy Watch generations, an LLM extracts six dimensions (Customer Jobs, Pains, Gains, Feature Gaps, Emotions, Usage Context). Extracted phrases are embedded with a transformer model, clustered via K-means with data-driven k selection, and labeled by an LLM to form an interpretable taxonomy. Subsequently, the analysis derives frequency profiles, a gap density indicator, a context–gap matrix, and a composite Product–Market Fit (PMF) score that balances gain rate, gap rate, and coverage with sensitivity analysis to alternative weights. The findings show predominantly positive affect, with unmet needs concentrated in battery endurance and interaction stability. Productivity- and interaction-centric jobs attain the highest PMF score, while several monitoring-centric jobs are comparatively weaker. Significant cross-generation differences in job composition indicate evolving usage priorities across successive releases. The framework provides a scalable, reproducible path from unstructured VOC to decision support, enabling data-driven prioritization for product and UX management while advancing theory-grounded analysis of customer value. Full article

We propose a hybrid framework that integrates instance clustering with Automatic Generation of Algorithms (AGA) to produce specialized algorithms for classes of Multidimensional Knapsack Problem (MKP) instances. This approach is highly relevant given the latest trends in AI, where Large Language Models (LLMs) are actively being used to automate and refine algorithm design through evolutionary frameworks. Our method utilizes a feature-based representation of 328 MKP instances and evaluates K-means, HDBSCAN, and random clustering to produce 11 clusters per method. For each cluster, a master optimization problem was solved using Genetic Programming, evolving algorithms encoded as syntax trees. Fitness was measured as relative error against known optima, a similar objective to those being tackled in LLM-driven optimization. Experimental and statistical analyses demonstrate that clustering-guided AGA significantly reduces average relative error and accelerates convergence compared with AGA trained on randomly grouped instances. K-means produced the most consistent cluster-specialization. Cross-cluster evaluation reveals a trade-off between specialization and generalization. The results demonstrate that clustering prior to AGA is a practical preprocessing step for designing automated algorithms in NP-hard combinatorial problems, paving the way for advanced methodologies that incorporate AI techniques. Full article

This study reports measurements of density, viscosity, and ternary mutual diffusion coefficients (D₁₁, D₁₂, D₂₁, D₂₂) for aqueous solutions containing two antibiotics—sulfamethoxazole (SMX) or trimethoprim (TMP) (component 1)—in the presence of various cyclodextrins (α–CD, β–CD, and γ–CD) (component 2) at 298.15 K. The relative viscosity data were analyzed by fitting to a second-order Jones-Dole equation via a least-squares regression to obtain the viscosity B coefficients. Apparent molar volumes (V_ϕ) were derived from the measured densities (ρ) for SMX and TMP in aqueous media. Furthermore, partial molar volumes of transfer at infinite dilution, ΔV_ϕ⁰, were evaluated to elucidate solute–solvent interactions within the ternary systems investigated. Nonzero ΔV_ϕ⁰ values, positive viscosity B coefficients, and negative cross-diffusion coefficients (D₁₂ and D₂₁), evidencing significant coupled diffusion, collectively indicate strong interactions between the antibiotics and cyclodextrins, consistent with host–guest complex formation. Full article

This review systematically examined the transformative role of machine learning in predicting polymer aging lifetime, addressing critical limitations of conventional methods such as the Arrhenius model, time–temperature superposition principle, and numerical fitting approaches. The primary objective was to establish a comprehensive framework that integrates multi-mechanism coupling with dynamic data-driven modeling to enhance prediction accuracy across complex aging scenarios. Four key machine learning categories demonstrate distinct advantages: support vector machines effectively capture nonlinear interactions in multi-stress environments; neural networks enable cross-scale modeling from molecular dynamics to macroscopic failure; decision tree models provide interpretable feature importance quantification; and hybrid approaches synergistically combine complementary strengths. These methodologies have shown significant success in critical industrial applications, including building trades, photovoltaic systems, and aerospace composites, creating an integrated predictive system that bridges molecular-level dynamics with service-life performance. By transforming life prediction from empirical extrapolation to mechanism-based simulation, this machine-learning-driven paradigm offers robust methodological support for engineering safety design in diverse polymer applications through its capacity to model complex environmental interactions, adapt to real-time monitoring data, and elucidate underlying degradation mechanisms. Full article

Indigenous chicken breeds often exhibit desirable meat quality but slower growth. This study evaluated growth, body size, slaughter traits, meat quality, and heterosis in reciprocal crosses between Guizhou recessive white (GW) and Qiandongnan Xiaoxiang (QX) chickens. A complete diallel cross produced four populations (WW: GW♂ × GW♀; QQ: QX♂ × QX♀; QW: QX♂ × GW♀; WQ: GW♂ × QX♀). To assess growth dynamics, body weight was recorded from hatch to 18 weeks and fitted with Logistic, Gompertz, and Von Bertalanffy models. At 18 weeks, 160 birds (40 per group, equal sex ratio) were assessed for body size, carcass yield, and meat quality. The results showed clear paternal effects. For instance, WQ (GW sire) outperformed QW (QX sire): WQ roosters had higher body weight at 18 weeks (1784.1 g vs. QW, p < 0.05) and greater heterosis (12.38%, 95%CI: 9.15–15.61 vs. 2.54%, 95%CI: −0.66–5.74). WQ hens also showed stronger heterosis despite similar body weight to QW hens (8.05%, 95%CI: 5.04–11.04 vs. 4.05%, 95%CI: 0.67–7.43). Growth curves were generally best described by the Von Bertalanffy model (R² ≥ 0.998), except in QW roosters, where the Gompertz model fitted better. Hybrid progeny (WQ and QW) showed improved slaughter traits over QQ, with WQ roosters exhibiting higher heterosis rates (14.09–30.71%) than QW (1.08–21.93%). Meat tenderness was superior in QQ, while QW showed advantages over WQ in tenderness and water retention. Overall, crossbreeding enhanced growth and carcass traits, and using GW as the male parent (WQ) was most effective. These findings provide practical evidence for improving Qiandongnan Xiaoxiang chickens through crossbreeding. Moreover, the observed paternal effects on growth traits suggest the need for further investigation into underlying mechanisms such as genomic imprinting and growth-related hormonal pathways. Full article

This study examines Lijiang Juniper from Yunnan Province. Through visual inspection, cross-section analysis, and separation tests, it analyzes the macroscopic and microscopic characteristics of Juniper wood from Baoshan Township, Lijiang City. The annual ring width of Juniper wood was determined using a tree-ring analyzer. The results showed that: macroscopically, the heartwood and sapwood of Juniper were clearly differentiated; the transition from earlywood to latewood was slow; the boundary of the growth rings was obvious, and the air-dry density was 0.771 g/cm³. Microscopically, the number of rimmed pores on the tubular cells was large, the lumen of the tubular cells contained invaginations, and the cross-field pores were of platyrrhizal type; the wood rays were uniseriate, with a height of two to five cells; axial thin-walled tissues were scattered; and large traumatic resin tracts were present. On the morphological characteristics of cellular fibers, the characteristic values of Juniper wood, such as tubular cell length, tubular cell width, tubular cell wall thickness, internal diameter of tubular cells, and height of wood rays, were determined. Based on their mean, standard deviation, and extreme deviation, it was concluded that the Lijiang Juniper was an excellent raw material for paper making. The ages of seven Juniper trees in Baoshan Township were also analyzed and determined by the tree annual ring analyzer. The response relationship between annual ring width and precipitation was discussed, with Juniper BSX-2 and BSX-3 as examples. It was found that the fit between annual ring width and precipitation was high, and the correlation coefficients were 0.605 and 0.678. The correlation between the annual ring width of Juniper and the amount of precipitation was strong at the 0.05 level. This indicates that Juniper’s radial growth is more sensitive to water supply. Full article

Background/Objectives: Adjustment to aging is a key indicator of positive aging and psychological maturity, influenced by cultural and social contexts. This study aimed to translate and evaluate the psychometric properties of the Adjustment to Aging Scale (AtAS) among Iranian older adults. Material and methods: This cross-sectional study was conducted in Tehran, 2024. Following translation and cross-cultural adaptation, face validity, content validity, and reliability of the questionnaire were assessed. The WHO-5 well-being index was used to assess concurrent validity. A total of 328 older adults aged 60 years and above completed the study instruments. Data were analyzed using Confirmatory Factor Analysis (CFA), Cronbach’s alpha, Pearson correlation, independent t-tests, and ANOVA via SPSS version 22 and AMOS 24. The significance level was set at p ≤ 0.05. Results: The mean (SD) age of the participants was 69.42 (6.8) years. Face and content validity were confirmed by fourteen experts (CVI = 0.94). CFA supported the five-factor structure of the questionnaire (χ²/df = 2.06, GFI = 0.90, PCLOSE = 0.07, RMSEA = 0.05), indicating a good model fit. The total questionnaire showed acceptable internal consistency (Cronbach’s alpha = 0.80) and excellent test–retest reliability (ICC = 0.98). Pearson’s correlation revealed a significant positive relationship between the WHO-5 Well-Being Index and AtAS scores (r = 0.56, p < 0.05), supporting criterion validity. Conclusions: The Persian AtAS showed strong psychometric properties, supporting its use in both research and clinical settings, although further studies are recommended to strengthen evidence for its clinical application. Full article

Purpose: To investigate the distribution and trend of corneal parameters in different age groups without corneal diseases. Methods: A retrospective cross-sectional study. We enrolled 2545 patients (5074 eyes) without corneal diseases (mean age 37.0 ± 26.8, range 4–95) between August 2018 and December 2022. This study aimed to analyze corneal refractive power parameters derived from Fourier transform (minimum spherical refractive power (SphRMin), central regular astigmatism (Asti.Central), peripheral regular astigmatism (Asti.Periph), and irregular astigmatism (Irregul)). The differences in these parameters across age groups were compared, and both linear and nonlinear equations were fitted to model the age-related changes. Results: In people without corneal diseases of all ages, the mean values of SphRMin, Asti.Central, Asti.Periph and Irregul were 7.71 ± 0.28, 0.10 ± 0.062, 0.11 ± 0.068, and 0.028 ± 0.019. There are differences in Asti.Central, Asti.Periph, and Irregul among the different age groups (all p < 0.001). SphRMin, Asti.Central, Asti.Periph and Irregul were correlated with age (all p < 0.001). SphRMin increased before 15 years and decreased after 15 years (p < 0.001). Asti.Central increased up to 19 years, decreased between 19 and 60 years, and then increased after 60 years (p < 0.001). Asti.Periph increased up to 18 years, decreased from 18 to 48 years, and then increased after 48 years (p < 0.001). Irregul increased up to 13 years, decreased from 13 to 30 years, and then increased after 30 years (p < 0.001). SphRMin, Asti.Central, Asti.Periph and Irregul were all correlated (all p < 0.05). Conclusions: We report the mean values of corneal refractive parameters obtained by the Fourier transform in patients without corneal diseases at different ages, its changing trend with age, and important inflection points. This has great clinical implications for the diagnosis of abnormal refractive state corneas and the design of ophthalmic surgery. Full article

Background/Objectives: Perceived ageism has been increasingly recognized as a critical determinant of the health and well-being of older adults. However, the cross-cultural validation of instruments measuring ageism remains limited. This study aimed to translate, culturally adapt, and evaluate the psychometric properties of the Turkish version of the Perceived Ageism Questionnaire (PAQ-TR). Methods: Content validity was assessed by a multidisciplinary expert panel. Construct validity was examined using exploratory (EFA) and confirmatory factor analyses (CFA). Convergent validity was tested through correlations with the Brief Aging Perceptions Questionnaire (B-APQ). Reliability was evaluated using Cronbach’s alpha, McDonald’s omega, and test–retest intraclass correlation coefficients (ICC). Statistical analyses were performed using IBM SPSS Statistics v27 (IBM Corp., Armonk, NY, USA) and AMOS v22 (IBM Corp., Chicago, IL, USA). Results: A total of 307 older adults (137 men and 170 women) participated in the study. The mean age was 71.19 (6.96) years, and 55.7% of the participants were female. An EFA confirmed the original two-factor structure, explaining 61.2% of the total variance, which was subsequently verified by a CFA, showing a good model fit. EFA confirmed the original two-factor structure, explaining 61.2% of the total variance (Kaiser-Meyer–Olkin = 0.82; Bartlett’s χ²(28) = 412.5, p < 0.001). The structure was subsequently verified by CFA, which demonstrated an excellent model fit (Comparative Fit Index = 0.97; Tucker–Lewis Index = 0.96; Root Mean Square Error of Approximation = 0.052; Standardized Root Mean Square Residual = 0.041). The Negative subscale showed high internal consistency (Cronbach’s alpha (α) = 0.84; McDonald’s Omega (ω) = 0.85), whereas the Positive subscale indicated moderate reliability (α = 0.58; ω = 0.60). The test–retest reliability was excellent, reflecting strong temporal stability (Intraclass Correlation Coefficient = 0.91). Convergent validity showed that the positive subscale was related to positive aging perceptions and less to negative ones, while the negative subscale showed the opposite pattern. Conclusions: The PAQ-TR demonstrated adequate psychometric properties for assessing perceived ageism among older adults in Türkiye. While the Negative subscale showed robust reliability, the positive subscale required refinement. These findings highlight both the cross-cultural validity of the PAQ and the influence of cultural norms on positive aging perception. The PAQ-TR is a valuable tool for research and clinical practice. Full article

This paper investigates the photodissociation of the ${\mathrm{S}\mathrm{i}\mathrm{H}}^{+}$ molecular ion, a non-symmetric diatomic species composed of silicon and hydrogen. We provide calculated molecular data and characterize electronic states, deriving cross-sections and spectral absorption rate coefficients as functions of temperature (1000–10,000 K) and EUV and UV wavelength. The calculations are performed within a quantum–mechanical framework of bound–free radiative transitions, using ab initio electronic potentials and dipole transition functions as inputs. In addition, we present a straightforward fitting formula that enables practical interpolation of photodissociation cross-sections and spectral rate coefficients, providing a novel closed-form representation of the dataset for modeling purposes. The resulting dataset provides a consistent and accessible reference for advanced photochemical modeling in laboratory plasmas and astrophysical environments. Full article

Background: Dental patient-centred outcomes are essential in clinical practice and research. To enhance feasibility, Oral Health-Related Quality of Life (OHRQoL) instruments often need to reduce administration time. In Serbia, longer OHIP versions exist (OHIP-14, OHIP-EDENT), but the ultrashort OHIP-5 has not yet been available. Aim: This cross-sectional study aimed to translate, culturally adapt, and evaluate the psychometric properties of the five-item Serbian version of the Oral Health Impact Profile (OHIP5-Srb). Materials and Methods: The OHIP5-Srb was translated using a standard forward–backward procedure. Participants were recruited between June and September 2025 using a convenience sampling approach. Psychometric testing—including internal consistency, exploratory (EFA), confirmatory factor analysis (CFA), and convergent and known-groups validity—was conducted on 236 participants (mean age 47.4 years). Test–retest reliability was evaluated in 35 dental students, and responsiveness in 45 patients undergoing dental treatment. Results: Cronbach’s alpha was 0.784, indicating adequate internal consistency. Test–retest reliability was excellent (mean ICC = 0.96; all inter-item correlations > 0.20). Convergent validity was supported by a strong negative correlation between OHIP5-Srb summary scores and a single-item measure of overall oral/dental health (Spearman’s rho = −0.861, p < 0.01). Known-group validity was confirmed by significant differences between removable denture wearers and individuals with natural teeth (and/or fixed partial dentures), after adjusting for age, and between participants perceiving a need for dental treatment and those who did not. EFA indicated a one-factor structure explaining 55.1% of variance. The one-factor model was confirmed by CFA and showed good fit (χ² = 15.08, df = 5; CFI = 0.97; TLI = 0.94; RMSEA = 0.092; SRMR = 0.04). Responsiveness analysis demonstrated significant decreases in OHIP5-Srb scores following various dental treatments. Conclusions: The OHIP5-Srb is unidimensional, reliable, valid, and responsive. Its brevity and robust psychometric properties make it suitable for assessing self-perceived oral health-related quality of life in the Serbian urban population, particularly when minimizing respondent burden is critical. Full article

Background: Research on psychological abuse among patients with breast cancer and survivors of breast cancer in Saudi Arabia is scarce. This study aimed to identify psychological abuse and its associated factors among these individuals. Methods: This cross-sectional study included 146 patients with breast cancer and survivors of breast cancer. Data were collected from December 2024 to April 2025 using a modified survey instrument based on the United Nations Economic Commission for Europe violence against women module. An online questionnaire comprised two parts: the first collected demographic characteristics, including age, education, employment, breast cancer diagnosis, and mastectomy duration, and the second assessed psychological abuse via four items: insults, belittlement/humiliation, intimidation, and undermining of relationship stability. The association between psychological abuse and sociodemographic factors was assessed using the chi-square test. Significant associations in bivariate analyses were subsequently analyzed using exploratory logistic regression. Results: Approximately 20.5% of participants reported experiencing at least one form of psychological abuse. The most commonly reported behaviors were insults and undermining of relationship stability (both 20.5%), followed by belittlement/humiliation (17.8%) and intimidation (15.1%). Bivariate analyses indicated a greater incidence of humiliation among women whose spouses were unemployed or retired, as well as among those with more than six children. Logistic analysis indicated that spouse unemployment or retirement (OR = 5.36, 95% CI 1.62–17.74, p = 0.006) and having more than six children (OR = 5.84, 95% CI 1.33–25.55, p = 0.019) were associated with belittlement/humiliation, even after FDR correction. No significant correlations were identified regarding patient age, education, mastectomy status, or duration since diagnosis. Model diagnostics demonstrated a satisfactory fit (Nagelkerke R² = 0.22; accuracy = 82.2%) and a lack of multicollinearity (VIF = 1.00–1.03). Conclusions: Psychological abuse affects around 20% of women diagnosed with breast cancer, especially those with unemployed spouses and larger families. These results highlight the need for psychological screening and couple-based therapies in cancer care to mitigate marital stresses and enhance survivors’ well-being. Full article