We study equilibrium configurations of compact stars by combining two effects that are usually investigated separately: deviations from spherical symmetry and matter–geometry coupling in f(R, T) gravity. We derive a generalized, TOV-like set of stellar structure equations that extends the standard hydrostatic balance to deformed configurations within the broad class f(R,T)= R + f(T) , and then specialize to the minimal coupling model f(R,T)= R + 2λ T . We compute stellar sequences and compare the resulting mass–radius relations and internal profiles with the General Relativity limit. To probe different compositions, we consider representative equations of state for hadronic matter and for self-bound quark matter. We find that deviations from spherical symmetry can significantly shift the maximum mass and radius of stable configurations, while the coupling matter λ induces additional systematic changes in both neutron star and strange star sequences.
Sustainability has become one of the main objectives in all human activities and, in particular, in manufacturing environments. In this paper, we consider the flexible job shop scheduling problem with the objective of minimizing energy consumption. As it is known that a considerable part of the energy consumption occurs when the machines are on and idle, the addressed problem includes the possibility of turning the machines off and on between processing operations. To bring the problem closer to the large variety of real‐world problems it encompasses, we include two relevant factors: nonlinear routes and position‐based learning effect. The treated problem is formally described through a mixed integer linear programming model. We propose constructive heuristics, two types of neighborhoods with which we construct local search schemes and three metaheuristics, namely, general variable neighborhood search, greedy randomized adaptive search procedure, and simulated annealing. We conduct a large number of experiments to evaluate the performance of the introduced methods on small‐sized and large‐sized instances. In the large‐sized instances, the general variable neighborhood search that combines the two neighborhoods into a single method is particularly effective. In the small‐sized instances with known optimal solutions, the greedy randomized adaptive search procedure finds solutions that, on average, are within 0.22% of the optimal solution.
As the global population ages, especially in low- and middle-income countries, there is an urgent need to rethink how health in older age is understood and addressed. Frailty has long served as a clinical construct to identify vulnerability and guide tailored, specialist care for older people. In 2015, the World Health Organisation introduced the concept of intrinsic capacity (IC) as part of its healthy ageing framework, offering a structured, capacity-based approach to promote functional ability. While conceptually distinct, frailty and IC are complementary. Frailty highlights the need for specialised care in complex cases, whereas IC supports early intervention and prevention across broader populations. This paper explores their differences, areas of overlap and how their integration can support a continuum of care that spans primary to specialist settings. Integrating these concepts connects prevention, health promotion and complex care management. By aligning clinical and public health perspectives, the combined use of frailty and IC offers a holistic, person-centred approach to care system transformation, with the potential to drive coordinated strategies that strengthen both geriatric practice and public health across diverse populations.
Understanding the organizational readiness for behavior change is paramount for implementation success of new interventions and to avoid waste of resources. To assess organizational readiness of primary healthcare providers to refer users with chronic musculoskeletal pain for an online pain education program, named EducaDor program, at the secondary level of care. This was a cross-sectional study using an online survey. We used the Organizational Readiness for Implementing Change questionnaire (ORIC-Br) to assess organizational readiness. We interpreted the domains of change efficacy and change commitment in terms of means (mean scores ≥ 4 indicates ready for implementation change in each domain) or proportions (≥ 50
OBJECTIVE:To assess equity in telehealth interventions in physiotherapy research using the PROGRESS plus framework. METHODS:We searched the PEDro, CENTRAL, and PubMed databases from January 2020 to December 2023 for randomized controlled trials evaluating the effectiveness of telehealth in physiotherapy. We selected, extracted, and assessed the characteristics and the PROGRESS factors. The PROGRESS Plus is a framework of factors that influence health outcomes. Telehealth studies were classified as equity-focused and oriented. Data were analyzed descriptively for the characteristics and the PROGRESS factors. We provided a hypothesis-testing approach to describe the three social gradient hypotheses. RESULTS:We included 94 telehealth equity trials (n = 45 telehealth equity-focused; n = 49 telehealth equity-oriented). Telehealth equity-focused trials demonstrated favorable outcomes in 28 studies (62%), primarily addressing factors such as place of residence, race/ethnicity, and vulnerable populations. Telehealth equity-oriented showed favorable benefits in 15 cases (30%), while 33 trials (67%) incorporated more than one PROGRESS-Plus factor. Most trials showed no social gradients (86%), while few (12%) demonstrated a reduction in health inequities. CONCLUSION:Robust evidence for equity-focused telehealth interventions in physiotherapy is uncertain; reported benefits vary, with some studies reporting similar outcomes and others favoring telehealth. Most telehealth equity-oriented trials no differential effects, although they provided some evidence of benefits specifically for disadvantaged populations. Telehealth equity studies often fail to systematically integrate PROGRESS factors throughout the entire research lifecycle.
