Tumor necrosis factor-α (TNF-α) polymorphisms may influence dyslipidemia, but their role remains unclear. This case-control study investigated associations between TNF-α gene polymorphisms (-1031T/C, -863C/A, -857C/T, -308G/A, and -238G/A) and dyslipidemia in 595 participants (162 cases, 433 controls) from the Chaoshan region of China. Anthropometric, biochemical, and genetic data were analyzed using Chi-squared tests and logistic regression, with the false discovery rate (FDR) method applied to correct for multiple comparisons. Results revealed that only the -1031T/C and -863C/A polymorphisms were significantly associated with dyslipidemia. Carriers of the TC+CC genotype for -1031T/C (odds ratio [OR]=0.48, 95% CI: 0.30-0.78, PFDR=0.006) and the CA+AA genotype for -863C/A (OR=0.41, 95% CI: 0.24-0.70, PFDR=0.004) had lower odds of dyslipidemia. Protective effects were observed for the C allele at -1031T/C (OR=0.58, PFDR=0.012) and the A allele at -863C/A (OR=0.47, PFDR=0.004). Stratified analyses showed that these associations were significant in males but not females. Functional annotation linked these TNF-α gene polymorphisms to transcription factors (e.g., HNF-1A, STAT1β) in the adipogenesis pathway. This study reveals genetic associations between TNF-α polymorphisms and dyslipidemia, particularly in males, and provides mechanistic insights into their role in transcriptional regulation.

This manuscript presents a novel three-series-only topology P-insulator-N (PIN) diode single-pole-double-through (SPDT) switch designed to address the challenges of high power handling and low insertion loss in Q-band and V-band communication systems. The manuscript provides a detailed theoretical analysis of series-connected PIN diodes, offering insights into their behavior under both small- and large-signal conditions. Based on GaAs PIN diode technology, the switch operates across a frequency range of 37.7 to 61 GHz, achieving a low insertion loss of 0.707 dB and providing an isolation of 24.6 dB. The proposed SPDT switch demonstrates a high $\text{IP}_{\text{0.1~dB}}$ of 37.6 dBm at 38 GHz. With a compact chip size of $0.905\times 0.885 \text{mm}^2$, including all pads, this work offers excellent power handling capability, making it highly suitable for advanced communication systems in Q-band and V-band applications.

The estimated global preterm birth rate in 2020(1) was more than 10% of livebirths or 13.4 million infants. Despite the importance of neonatal nutrition in optimising growth, neurodevelopment, and later metabolic disease risk, there is inconsistency in nutrition recommendations for preterm infants(2). Incomplete or inconsistent reporting of outcomes in nutrition intervention studies is part of the reason for the lack of consensus on optimal nutrition. To reduce uncertainty in measuring or reporting nutritional intake and growth outcomes in preterm studies, a consensus process is needed to identify relevant measures for patients, parents/caregivers, researchers, and health professionals. We aimed to develop a minimum reporting set (MRS) for measures of nutritional intake and growth in preterm nutrition studies. We collaborated with a group of international researchers from 13 countries and registered this study at the COMET initiative (registration number 3185). The target population was individuals born preterm at any gestational age and study location whose nutritional intake was assessed before first hospital discharge and whose growth was assessed at any age. Measures reported in preterm nutrition studies were systematically reviewed and used to develop the real-time Delphi survey(3) using Surveylet (Calibrum) software, including 13 questions about nutritional intake and 14 about growth outcomes. We used a snowball process to recruit participants from the consumer, healthcare provider, and researcher stakeholder groups with expertise in preterm infants, nutrition, and growth to rate the importance of each measure on a 9-point Likert scale. Participants initially rated the survey items without seeing other participants’ responses, saved and refreshed the page to see the anonymous responses of other participants, and had the option to change their rating and provide reasons for their answers. Participants’ final scores for each item will be used to identify the consensus criteria for that item(3). To date, we have recruited 246 participants from 31 countries across 5 continents, including 58 (24%) consumers, 156 (63%) healthcare professionals, and 26 (11%) researchers. Preliminary findings indicate that 12 measures of nutritional intake and 4 of growth have met the criteria for inclusion in the MRS. However, participant recruitment and survey responses are ongoing. A final consensus meeting is planned for November 2024 to confirm the MRS.

The effect of Stokes number on turbulence modulation in particle-laden channel flow is investigated through four-way coupled point-particle direct numerical simulations, with the mass loading fixed at 0.6 and the friction Stokes number $St^+$ varying from 3 to 300. A full transition pathway is observed, from a drag-enhanced to a drag-reduced regime, eventually approaching the single-phase state as $St^+$ increases towards 300. A set of transport equations for the particle phase is derived analytically to characterise the interphase coupling, within the framework of the point-based statistical description of particle-laden turbulence. By virtue of this, two dominant mechanisms are identified and quantitatively characterised: a positive, particle-induced extra transport that decreases monotonically with increasing $St^+$, and a negative, particle-induced extra dissipation that varies non-monotonically with $St^+$. The coupling of these two mechanisms leads to a direct contribution of the particle phase to the shear stress balance, the turbulent kinetic energy budgets and the Reynolds stress budgets. Consequently, as $St^+$ increases, the self-sustaining cycle of near-wall turbulence transitions from being augmented to being suppressed and, eventually, returns to the single-phase state. This gives rise to an indirect effect, manifested as a non-monotonic modulation of Reynolds shear stress and turbulence production rate. Taken together, complex interplays between particle-modified turbulent transport, particle-induced extra transport and extra dissipation are analysed and summarised, providing a holistic physical picture composed of consistent interpretations of turbulence modulation induced by small heavy particles.

Modelling the nonlinear forcing is critical for linear models based on resolvent or input–output analyses. For compressible wall-bounded turbulence, little is known on what the real forcing looks like due to limited data, so the prediction agrees more qualitatively than quantitatively with direct numerical simulations (DNSs). Here, we present detailed forcing statistics of stochastic linear models, derived from elaborate DNS datasets for channel flows with bulk Mach number reaching 3. These statistics directly explain the success and failure of current models and provide guidance for further improvements. The benchmark linearised Navier–Stokes (LNS) and eLNS models are considered; the latter is assisted by eddy-viscosity-related terms. First, we prove the self-consistency of the models by using DNS-computed forcing as the input. Second, we present the spectral distributions of the forcing and its components. Third, we quantify the acoustic components, absent in incompressible cases, within the linear models. We reveal that the LNS forcing can exhibit relatively high coherence and low rank, very different from the modelled diagonal full-rank forcing. The eddy-viscosity-related term is not partial modelling of the LNS forcing; contrarily, the former is much larger than the latter, serving to disrupt the low-rank feature, enhance diagonal dominance and increase robustness across scales. The scales narrow in either horizontal direction are most susceptible to acoustic modes, while the others are little affected (${\lt}2\,\%$ in energy). Furthermore, the extended strong Reynolds analogy is assessed in predicting the density and temperature components.

Social scientists are paying attention to the role that knowledge plays in economic phenomena. This focus on knowledge has led to exploring two challenges: first, its governance to reap positive externalities and solve social dilemmas, and second, how we can craft institutions to match the intangible nature of ideas with adequate property rules. This article contributes by elaborating on the different knowledge property regimes and the elements contributing to their classification. This paper first taxonomises knowledge governance regimes based on Ostrom’s work on institutional analysis. Second, it examines why governance structures for managing knowledge production vary across industries, according to (1) the characteristics of knowledge, (2) the attributes of the organisations, and (3) the different rules-in-use to enforce property rights. This is the first study at the intersection of institutional analysis and political economy that highlights the knowledge features, incentive structures, and mechanisms undergirding knowledge governance in different property regimes.

Viscoplastic fluids exhibit yield stress, beyond which they flow viscously, while at lower stress levels they behave as solids. Despite their fundamental biological and medical importance, the hydrodynamics of swimming in viscoplastic environments is still evolving. In this study, we investigate the swimming of an ellipsoidal squirmer and the associated tracer diffusion in a Bingham viscoplastic fluid. The results illustrate that neutral squirmers in viscoplastic fluids experience a reduction in swimming speed and an increase in power dissipation as the Bingham number increases, with swimming efficiency peaking at moderate Bingham numbers. As the aspect ratio of a squirmer increases, ellipsoidal squirmers exhibit significantly higher swimming speeds in viscoplastic fluids. The polar and swirling modes can either enhance or reduce swimming speed, depending on the specific scenarios. These outcomes are closely related to the confinement effects induced by the yield surface surrounding the swimmer, highlighting how both swimmer shape and swimming mode can significantly alter the yield surface and, in turn, modify the swimming hydrodynamics. In addition, this study investigates the influence of viscoplasticity on swimmer-induced diffusion in a dilute suspension. The plasticity enforces the velocity far from the swimmer to be zero, thus breaking the assumptions used in Newtonian fluids. The diffusivity reaches its maximum at intermediate aspect ratios and Bingham numbers, and increases with the magnitude of the squirmer’s dipolarity. These findings are important to understand microscale swimming in viscoplastic environments and the suspension properties.

Resilient enterprises thrive under adverse conditions given their preparedness for crises. This study proposes that executives’ vigilant managerial cognition is essential for enhancing enterprise resilience. To measure this cognition, the study developed a textual index using machine learning methods and analyzed a sample of Chinese enterprises to assess the impact of executives’ vigilant managerial cognition on enterprise resilience. The findings indicate that this cognition is positively related to enterprise resilience, where the relationship is stronger in enterprises with robust internal controls. The primary contribution of this study is the conceptualization of vigilant managerial cognition and its established positive relationship with enterprise resilience. Furthermore, by introducing a novel quantitative measure of managerial cognition through textual analysis and machine learning, the study paves the way for future research on managerial cognition within firms.