Search Results (6,726)

As China pursues its Dual Carbon Goals, understanding the environmental effects of the Belt and Road Initiative (BRI) is of critical importance. Employing panel data from 282 prefecture-level cities in China over the period 2003–2023, this study adopts a difference-in-differences (DID) approach to systematically assess the impact of the BRI on carbon emission intensity (CEI). The empirical results show that the BRI significantly reduces CEI in Chinese cities along its corridors, a finding that proves robust across multiple robustness checks and after addressing potential endogeneity concerns. Mechanism analysis reveals that the BRI reduces CEI by promoting industrial structure optimization, lowering energy intensity, and alleviating market fragmentation. Moderating effect tests indicate that government intervention strengthens the CEI reduction effect of the BRI. Heterogeneity analysis suggests that the CEI reduction effect is more pronounced in central-western cities, key environmental protection cities, old industrial base cities, and non-logistics hub cities. Full article

This study examines the impact of corporate sustainability practices on firm performance, sustainable development, and value by focusing on ESG performance, sustainability committees, and sustainability reporting. While prior literature documents a general association between ESG performance and firm value, limited attention has been paid to the role of sustainability governance structures and their contribution to sustainable development outcomes, particularly SDGs disclosure, in a multi-country setting. Sustainable development is proxied by an SDGs disclosure index constructed using firm-level disclosures aligned with the 17 Sustainable Development Goals based on LSEG (Refinitiv) ESG item-level data. The analysis controls for firm size, leverage, profitability, industry-, and country-level institutional factors to ensure robust results. Using panel data comprising 36,438 firm-year observations from 6073 companies across OECD member countries from 2017 to 2022, this study employs a fixed-effects model based on diagnostic tests, including the Hausman and Breusch–Pagan tests. The findings revealed that higher ESG performance scores positively influence both sustainable development outcomes and market value. Moreover, the presence of sustainability committees and broader sustainability reporting further strengthens these relationships. These results highlight the importance of institutional sustainability governance in translating ESG commitments into measurable firm values and SDG-related outcomes. This study provides novel empirical evidence on how sustainability-focused governance mechanisms enhance corporate contributions to sustainable development, offering important implications for managers and policymakers as well as directions for future research. Full article

Globally, chronic kidney disease (CKD) affects over 800 million individuals and is characterized by significant genetic complexity. More than 600 genes are associated with hereditary kidney disease, which may manifest as isolated kidney issues or as part of a syndrome that also includes extrarenal manifestations. The aim of this study was to identify genetic variants in a group of ten patients who presented with clinical signs suggestive of genetic syndromes associated with CKD, or who were asymptomatic but had a positive family history of CKD. Extensive genetic testing (targeted gene panels and whole-exome sequencing—WES) identified a mutation in the PKD1 gene in 3 out of 10 cases. In one patient, a known mutation in the PKD2 gene was identified. Another four patients were diagnosed with Alport syndrome: three of these presented with de novo missense mutations in the COL4A5 gene, and one patient had a mutation in the COL4A3 gene. One patient was diagnosed with MODY5, caused by a known mutation in the HNF1B gene, and one patient was diagnosed with Bartter syndrome type 1, resulting from a known mutation in the SLC12A1 gene. We present genotype–phenotype correlations, highlighting the particularities of each patient within their family context. Our findings emphasize the importance of genotype–phenotype correlations in refining diagnosis, personalizing therapeutic management, and providing essential genetic counseling for at-risk relatives. Full article

Background/Objectives: To identify US military unknowns, the Armed Forces Medical Examiner System’s Armed Forces DNA Identification Laboratory has historically relied upon mitochondrial DNA and Y-chromosomal short tandem repeat testing. Where no appropriate family reference sample (FRS) is available or skeletal samples are degraded, autosomal single nucleotide polymorphism (SNP) testing with next-generation sequencing could assist. Methods: A method utilizing hybridization capture enrichment of a 95,000 (95K) SNP panel, amenable to FRS and extremely challenging samples, was validated. The Parabon Fx Forensic Analysis Platform was used for analysis and extended kinship inference. Skeletal samples (n = 65) and associated FRS (n = 64) were selected for a performance evaluation and case-type sample study. Results: Considering FRS with ≥7 ng DNA input into library preparation, 94% yielded ≥66,320 SNPs at ≥5X coverage. SNP recovery for skeletal samples at ≥1X coverage ranged from 5 to 94,197 SNPs, averaging 40,770 SNPs. When skeletal samples resulted in ≥13,000 SNPs, the most likely relationship category was consistent with the expected relationship. A log10 likelihood ratio of ≥4 and a posterior probability of ≥99.99% were established as thresholds for strong statistical support, and 87% of inferences met these thresholds while 13% were considered inconclusive. Pairwise kinship inference between unrelated individuals yielded an unrelated result in 85% of comparisons, 66% with strong statistical support. There were 170 instances of false positive 4th degree relationship inferences with strong statistical support. All false positives involved skeletal samples from individuals of admixed ancestry. Conclusions: With this approach, autosomal SNP testing can result in reliable kinship inferences between related individuals out to 3rd, and in some cases 4th, degree relationships, increasing the scope of eligible FRS to aid in identifications. Full article

Mucopolysaccharidosis type I (MPS I) results in the accumulation of glycosaminoglycans (GAG) and, for the purposes of newborn screening, is differentiated into two forms: severe (Hurler syndrome) versus attenuated (encompassing Scheie and Hurler-Scheie syndromes). MPS I was added to the federal Recommended Uniform Screening Panel for newborn screening (NBS) in 2016, and as of December 2025, 45 of 54 programs in the United States (US) screen for MPS I. Within the newborn screening program, a second-tier analysis of GAG is thought to reduce false-positive rates, particularly through mitigating the detection of pseudodeficiency. However, there have been some concerns that the use of second-tier GAG analysis might inadvertently result in missed detection of attenuated cases. A survey of all US NBS programs was conducted requesting data on the total number of screen-positive NBS results for MPS I as well as the final diagnostic outcome from these results. Diagnostic outcomes after screening were classified as false-positive, pseudodeficiency, severe MPS I, attenuated MPS I, and MPS I of undetermined phenotype. Additionally, information on testing methodologies and dates of MPS I NBS implementation was collected. Responses were obtained from 32 NBS programs. The cohort of screening programs utilizing second-tier blood spot GAG determinations detected a higher proportion of severe cases than those not using this second-tier test (48% vs. 29%). The proportion of attenuated cases remained consistent between both groups (13% vs. 14%). The proportion of pseudodeficiency detection was only slightly lower in the cohort using second-tier GAG analysis (85% vs. 91%). Second-tier GAG analysis appears to reduce the detection of false-positive cases and improves the resolution of severe MPS I cases, though the proportion of pseudodeficiency was only slightly lower compared to the programs that do not use second-tier GAG analysis. Currently, the proportion of attenuated cases is comparable between the two cohorts, but the higher number of “undetermined phenotype” cases may eventually shift the balance toward states not using GAG analysis once the type is determined. Full article

Background/Objectives: Developability assessment is a critical step in advancing antibody-based molecules toward clinical application. This evaluation typically begins during clinical candidate selection and continues throughout all modifications of the molecule during development. It is guided by the target product profile, which includes the intended administration route and regimen, formulation parameters, and process conditions encountered during manufacturing, storage, and delivery. While developability testing is well established for conventional therapeutic antibodies, strategies for assessing single-domain antibodies (sdAbs) and their conjugates remain underexplored. Here, we present a strategy to test the developability of sdAbs as a case study for two clinical candidates intended as precursors for the production of diagnostic tracers for clinical imaging. Methods: Assays were developed to evaluate chemical and thermodynamic stability, target binding affinity and capacity, and chelation efficiency (“chelatability”). Accelerated stability studies were conducted for both unconjugated sdAbs and their chelator conjugated forms following incubation at two pH conditions, at multiple time points, and after twelve freeze–thaw cycles to simulate process conditions and long-term storage. Analytical assays were applied stepwise in a hierarchical approach to minimize experimental effort and material consumption. Candidates exhibiting critical developability features were selectively addressed by assays with increasing precision. Results: A tailored panel of analytical assays optimized for low molecular weight proteins was established and applied to the two clinical candidates, identifying instability hotspots as well as potential mitigation strategies. Successful engineering of a candidate with an initially critical developability profile was achieved. Conclusions: This study demonstrates the implementation of a structured developability assessment strategy for sdAb conjugates. The approach integrates physicochemical and functional stability evaluations, supporting robust candidate selection, formulation development, and method optimization for this class of molecules. Full article

Under the background of the “dual-carbon” goals and the ecological ecological-civilization-construction strategy, improving the synergistic efficiency of pollution reduction and carbon abatement is a key to promoting green high-quality development. Based on a panel of 30 provincial-level regions in China for 2012–2022, this paper evaluates the impact of digital financial inclusion on the synergistic efficiency of pollution reduction and carbon abatement. First, using a global-frontier directional-distance function (DDF), we characterize the improvement space of “desirable-output expansion—simultaneous contraction of pollution and carbon emissions” under given input constraints, and construct a synergistic efficiency indicator (eff_main). Second, we present a correlation benchmark within a two-way fixed-effects (TWFE) framework and use lead/lag (placebo) tests to probe potential endogeneity; we further construct a Bartik (shift–share) instrumental variable and employ Two-Stage Least Squares (2SLS) to strengthen causal identification. The results show that in TWFE regressions, digital financial inclusion (dif100) is positively and significantly correlated with synergistic efficiency, with a coefficient of 0.113 (i.e., an increase of 100 index points in the digital financial inclusion index is associated with an average increase of 0.113 in eff_main), but a significant lead effect is present, so this result should be interpreted as correlational only; 2SLS estimates indicate a robust positive causal effect of digital financial inclusion on synergistic efficiency, with a baseline coefficient of 0.405, rising to 0.501 under lagged specifications—exhibiting a dynamic feature of “gradual release in subsequent years.” The study suggests that developing digital financial inclusion helps raise regions’ comprehensive green-transition performance and sustainable development capacity; policy implications include accelerating the closing of digital infrastructure gaps, improving green-finance institutions and performance constraints, and guiding funds more effectively toward energy-saving, emission reduction and low-carbon technology areas. Full article

A benchmark study of 10 different numerical methods for ship motion and load assessment is presented. Pitch motions and midship vertical bending moments are compared to model test results for a containership at zero speed in head regular waves. The wave steepness is varied from 2.1% to 10.5%. The model tests show that pitch and the vertical bending moment (VBM) display nonlinear behavior even for low-steepness waves. It is demonstrated that computational fluid dynamics (CFD) methods can reproduce the ship responses with good accuracy, even in very steep waves, involving green water and parts of the ship going in and out of water. Weakly nonlinear potential-theory methods tend to overestimate the pitch motions and the sagging moments as the wave steepness increases. For the vertical bending moment in steep waves, the 3D panel methods did not give significantly better results than those obtained with the nonlinear strip theories. Full article

The increasing accumulation of end-of-life tires has motivated the development of sustainable construction materials incorporating recycled rubber for acoustic insulation applications. This study proposes a data-driven framework for predicting the weighted airborne sound reduction index ($R_w$) of recycled rubber–polyurethane composite panels based on a limited experimental dataset. Specimens with varying granulometric composition, material density, and polyurethane adhesive dosage were evaluated in accordance with EN ISO 10140-2:2010 and EN ISO 717-1:2013. To address data scarcity, a regression-oriented SMOTE strategy was applied exclusively to the training set to preserve statistical representativeness and avoid data leakage. Test set representativeness was ensured by systematically evaluating numerous data splits and adopting the one that maximized multivariate statistical consistency. A hierarchical modeling approach was adopted, ranging from classical regression models to tree-based ensemble methods and multigene symbolic regression. Model performance was evaluated using R², RMSE, MAE, and MAPE on an independent test set. The highest accuracy and robustness were obtained using symbolic regression, with R² values close to 0.99 and minimal prediction errors. Shapley value analysis and PDP/ICE plots identified material density as the dominant predictor of $R_w$, followed by polyurethane adhesive dosage, while granulometric composition exhibited a weaker influence. The proposed framework provides an accurate and interpretable tool for the preliminary design and optimization of recycled rubber acoustic panels. Full article

This study investigates how liquidity and leverage shape financial performance in sub-Saharan Africa’s listed healthcare firms and concludes that internal liquidity capacity is a more reliable driver of performance than debt. Using an ex post facto design, the study examines 60 firm year observations for 12 listed healthcare and pharmaceutical firms across six countries over 2020–2024. It measures performance with return on assets (ROA), return on equity (ROE), and Tobin’s Q, while liquidity and leverage are proxied by current and debt–equity ratios. Fixed-effects panel regression with robust standard errors is employed after confirming heteroskedasticity and overall model significance through Wald tests. Liquidity exerts a positive and statistically significant impact on ROA (β = 0.003706, p < 0.01) and reinforces ROE in complementary estimations, demonstrating that stronger liquidity positions consistently enhance accounting-based financial performance in this capital-constrained sector. By contrast, leverage shows negative and statistically insignificant effects on ROA (β = 0.113666, p = 0.257), ROE (β = −1.42683, p = 0.109), and Tobin’s Q (β = −0.64563, p = 0.612), providing no evidence that higher debt improves either accounting returns or market valuation. Collectively, these results strongly support the primacy of internal financial flexibility over external borrowing for sustaining performance in sub-Saharan African healthcare firms and offer robust, region-wide empirical grounding for refining resource-based, pecking order, and trade-off arguments in healthcare capital structure debates. Full article

Nanotechnology has emerged as a promising option in combating the worsening situation with antibiotic resistance. We studied the antimicrobial effectiveness of four types of green synthesized zinc oxide nanoparticles (ZnO-NPs), obtained via Pluronic-assisted co-precipitation by lavender and thyme essential oils and their praseodymium-doped variants. Resazurin Microtiter Assay was applied to a panel of Gram-positive and Gram-negative bacteria from Risk 1 and 2 groups and the ESKAPE group. In relation to the pro-oxidative features of the ZnO-NPs, the production of superoxide dismutase (SOD) and catalase (CAT) in the tested microorganisms was also investigated, as these enzymes are important participants in the antioxidant defense of the bacterial cell and are considered virulence factors. We hypothesized that the sensitivity of microorganisms to the action of ZnO-NPs is related to their innate levels of antioxidant enzyme activity. The results showed that all types of studied ZnO-NPs had an antibacterial effect against the entire panel of tested strains, but with different potencies. The strongest effect was found for Arthrobacter nicotianae, Oerskovia paurometabola, Bacillus subtilis, and Escherichia coli. Less inhibition was observed for bacteria from Risk group 2 maybe due to their better antioxidant protection, especially for Pseudomonas aeruginosa. Praseodymium doping contributed to enhancing the bactericidal effect. A correlation between susceptibility of bacteria to ZnO-NPs and their antioxidant enzyme activity was observed. Full article

Each year, inventory decisions made under demand uncertainty generate substantial economic losses, reflecting a persistent disconnect between forecasting models and the operational decisions they are intended to support. This paper addresses this gap by proposing a Decision Intelligence Framework that unifies three components typically treated in isolation: probabilistic demand forecasting via gradient boosting quantile regression, constrained newsvendor optimization under capacity and budget constraints, and coherent tail risk evaluation using Conditional Value-at-Risk (CVaR₉₅). We establish a central theoretical result showing that calibrated quantile forecasts are mathematically equivalent to optimal newsvendor solutions, providing a rigorous decision-theoretic foundation linking probabilistic forecasting and inventory control. The framework is evaluated on the UCI Online Retail dataset (2010–2011), aggregated to daily demand at the country–SKU level and densified to a daily panel by treating missing transaction days as zero demand. Relative to median-based (P50) policies, P90 policies reduce tail risk (CVaR₉₅) by 26.7% under empirical residual bootstrap, increase cycle service levels from 44.4% to 89.5%, and reduce mean cost by 48.7% (non-overlapping bootstrap CIs for CVaR₉₅). A lognormal stress test shows larger reductions (72.3%), and a CV sweep confirms monotone gains in this setting. Full article

Digitalization is reshaping how knowledge is created and diffused within cities. Exploiting the staggered implementation of the Broadband China policy, this study examines the impact of digital infrastructure development on urban innovation capacity using panel data for 77 prefecture-level cities in the Yellow River Basin from 2010 to 2021. Treating the policy as a quasi-natural experiment, we employ a staggered difference-in-differences design to identify its effects. The results show that digital infrastructure development significantly enhances urban innovation capacity, with these findings remaining robust across multiple placebo and robustness tests. The effects are more pronounced in economically developed and large cities, indicating substantial heterogeneity in policy outcomes. Further analysis suggests that urban entrepreneurial activity strengthens the positive effect of digital infrastructure on urban innovation. By combining a staggered policy design with heterogeneity and mechanism analyses, this study provides new evidence on how digital infrastructure supports urban innovation. Full article

Hydrogel-based products are used in many areas of biomedicine and healthcare. Recently, the incorporation of cellulose nanocrystals (CNC), a renewable and functional nanomaterial, into hydrogels has enhanced their functionality, particularly by imparting mechanical strength and structural integrity. This scoping review aims to appraise the types of biomedical models and assays that have been utilised to investigate the effects of CNC incorporation into hydrogels in tissue engineering, wound healing, medical implantation and drug delivery applications, and reports on the rationale for including these models and assays. A structured literature search was undertaken in major scientific databases (PubMed Central, PubMed, BioMed Central, ScienceDirect, Wiley and EBSCOhost), focusing on identifying primary research published between 2016 and 2024. From this process, fifteen studies providing biomedical analyses met the inclusion criteria. Most of these investigations employed in vitro cell-line models (n = 12), with a smaller number utilising in vivo experimental systems (n = 5). Across the included studies, CNC incorporation typically yielded measurable performance gains: reported compressive or storage modulus improvements of 20–40% over hydrogel-only controls, consistently high cell viability (>85%) across multiple human and murine cell types for up to 21 days, and sustained drug release profiles (days–weeks) in stent and antitumour contexts. Where quantified, functional outcomes in vivo included preserved graft volume (autologous fat grafts) and reduced intimal hyperplasia signals in vascular graft models. Critical gaps included heterogeneous CNC sources and surface chemistries, inconsistent reporting of CNC concentration and hydrogel formulation parameters, the limited duration and scope of biocompatibility testing, and minimal alignment with standard evaluation protocols, constraining reproducibility and cross-study comparability. To date, there are no human clinical trials of CNC-hydrogels. Translational readiness will require standardised ISO-compliant biocompatibility evaluations. Large-animal studies under relevant mechanical and physiological conditions, and rigorous long-term degradation and immunogenicity assessments to de-risk progression to human trials. We recommend standardised CNC sources and surface functionalisation reporting, concentration (wt%) ranges, hydrogel rheological characterisation (G′, G″, swelling), and consistent biological endpoints (viability, differentiation, inflammation panels) to enable robust meta-analyses and translational benchmarking. Distinct from prior nanocellulose reviews that emphasise material synthesis and properties, this analysis centres on the biomedical models and assays applied to CNC-incorporated hydrogels, identifying the methodological convergence and divergence that directly impact translational pathways. Full article

The treatment and management of waste in industrial processes remain a challenge, especially in material-intensive industries. In an attempt to mitigate this issue, sustainable architectural solutions focus extensively on the reuse of post-consumer waste in a bid to minimize environmental degradation. In this work, we propose a new acoustic metamaterial composed of three layers of reclaimed PVC diaphragms and a structured honeycomb core. The diaphragms were implemented on a hard frame in a manner that incorporates air gaps between layers and were tested using a portable impedance tube for setups including honeycomb panels behind diaphragms, in addition to setups including only air gaps, compared to diaphragms alone. The experimental and simulated results, using a transfer matrix approach, show a significantly improved low-frequency sound absorption performance within the 250–600 Hz band. Full article