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Microalgae have been used for centuries to provide nourishment to humans and animals, only very recently they have become much more widely cultured and harvested at large industrial scale. This paper reviews the potential health benefits and nutrition provided by microalgae whose benefits are contributing to expand their market. We also point out several key challenges that remain to be addressed in this field.

Summary Biofloc technology (BFT) application offers benefits in improving aquaculture production that could contribute to the achievement of sustainable development goals. This technology could result in higher productivity with less impact to the environment. Furthermore, biofloc systems may be developed and performed in integration with other food production, thus promoting productive integrated systems, aiming at producing more food and feed from the same area of land with fewer input. The biofloc technology is still in its infant stage. A lot more research is needed to optimise the system (in relation to operational parameters) e.g. in relation to nutrient recycling, MAMP production, immunological effects. In addition research findings will need to be communicated to farmers as the implementation of biofloc technology will require upgrading their skills. Biofloc enhances nutrient recover in aquaculture. Biofloc can be integrated in multitrophic aquaculture. biofloc enhance disease resistance.

Purpose To investigate the time-dependent nature of clinically significant outcomes, including the minimal clinically important difference (MCID), substantial clinical benefit, and Patient Acceptable Symptomatic State (PASS) after arthroscopic superior capsular reconstruction, and the factors contributing to the achievement of early clinically significant outcomes. Methods Patients who underwent ASCR between March 2015 and September 2020 with complete preoperative and postoperative 6-month, 1-year, and 2-year patient-reported outcome measures (PROMs) were retrospectively analysed. Threshold values for MCID, substantial clinical benefit, and PASS were obtained from the previous literature for the PROMs. The time required to achieve clinically significant outcomes was calculated using Kaplan–Meier analysis. Multivariate Cox regression was performed to evaluate the variables predictive of an earlier or delayed achievement of MCID. Results Fifty-nine patients with a mean age of 64.5 ± 8.7 years old were included. The time of mean achievement of MCID, substantial clinical benefit, and PASS for VAS was 11.2 ± 0.9, 16.3 ± 1.1, and 16.6 ± 0.9 months, respectively. The time of mean achievement of MCID, substantial clinical benefit, and PASS for ASES was 13.2 ± 1.0, 16.8 ± 1.0, and 18.3 ± 0.9 months, respectively. The time of mean achievement of MCID, substantial clinical benefit, and PASS for the Constant score was 11.6 ± 0.9, 15.1 ± 1.0, and 14.7 ± 0.9 months, respectively. The time of mean achievement of MCID, substantial clinical benefit, and PASS for SANE was 14.4 ± 1.0, 16.1 ± 1.0, and 15.5 ± 0.8 months, respectively. Patients with a higher preoperative VAS score achieved an earlier MCID for VAS ( P  = 0.014). However, patients with a higher preoperative ASES and SANE scores achieved delayed MCID for ASES and SANE ( P  = 0.026, and P < 0.001, respectively). Conclusion Most patients achieved MCIDs around 1 year after arthroscopic superior capsular reconstruction. A higher preoperative VAS score favours faster MCID achievement, while higher preoperative ASES and SANE scores contribute to delayed MCID achievement. Study design Cohort study Level of evidence Level IV.

Older adults with type 2 diabetes mellitus (T2DM) often face challenges in achieving glycemic targets due to geriatric conditions. However, evidence on sex differences in failure to achieve glycemic targets in low- and middle-income countries remains limited. To examine sex differences in the prevalence of failure to achieve individualized glycemic targets and to identify associated factors among older adults with T2DM in Vietnam. This cross-sectional study was conducted between September and December 2025 among outpatients aged ≥60 years with T2DM. Failure to achieve glycemic targets was defined based on individualized HbA1c targets according to geriatric conditions, including comorbidities, cognitive function, and functional status, in accordance with recommendations from the American Diabetes Association. Multivariable logistic regression analyses were performed in the overall population and stratified by sex. Among 537 patients, 306 (57.0%) were male and 231 (43.0%) were female. Overall, 25.5% of patients failed to achieve their glycemic targets, with a similar prevalence in males (24.8%) and females (26.4%). In the overall population, polypharmacy (adjusted odds ratio [aOR] 1.98, 95% confidence interval [CI] 1.14-3.44), limitations in instrumental activities of daily living (IADL) (aOR 1.72, 95% CI 1.14-2.61), and diabetes duration ≥5 years (aOR 2.07, 95% CI 1.15-3.75) were independently associated with failure to achieve glycemic targets. In sex-stratified analyses, diabetes duration ≥5 years was associated with failure to achieve glycemic targets among males (aOR 3.30, 95% CI 1.34-8.13), whereas dependent income (aOR 3.60, 95% CI 1.18-10.9), polypharmacy (aOR 2.46, 95% CI 1.02-5.95), and limitations in IADL (aOR 2.39, 95% CI 1.28-4.46) were significantly associated with failure to achieve glycemic targets among females. Failure to achieve glycemic targets remains common among older adults with T2DM in Vietnam, with sex-specific associated factors. These findings suggest that incorporating geriatric assessment and sex-sensitive approaches into outpatient diabetes management may be beneficial; however, they should be interpreted as hypothesis-generating and may not be generalizable to all settings.

Summary Plant‐associated microbiomes have tremendous potential to improve plant resilience and yields in farming systems. There is increasing evidence that biological technologies that use microbes or their metabolites can enhance nutrient uptake and yield, control pests and mitigate plant stress responses. However, to fully realize the potential of microbial technology, their efficacy and consistency under the broad range of real‐world conditions need to be improved. While the optimization of microbial biofertilizers and biopesticides is advancing rapidly to enable use in various soils, crop varieties and environments, crop breeding programmes have yet to incorporate the selection of beneficial plant–microbe interactions to breed ‘microbe‐optimized plants’. Emerging efforts exploring microbiome engineering could lead to microbial consortia that are better suited to support plants. The combination of all three approaches could be integrated to achieve maximum benefits and significantly improved crop yields to address food security. Emerging microbiome approaches potentially can significantly increase farm productivity and hence can contribute to meet several sustainable development goals.

The increasing scale and interconnection of many environmental challenges - from climate change to land use - has resulted in the need to collaborate across borders and boundaries of all types. Traditional centralized, top-down and sectoral approaches to governance of single-issue areas or species within social-ecological systems often have limited potential to alleviate issues that go beyond their jurisdiction. As a result, collaborative governance approaches have come to the forefront. A great deal of past research has examined the conditions under which collaborative efforts are likely to achieve desired outcomes. However, few studies have analyzed how the means to achieve successful collaborative outcomes differ based on context when examined across multiple studies. In this research, we begin to chart a means for doing this. Building onto a Context-Mechanism-Outcome (CMO) Framework, we provide a coding manual to analyse how contextual variables mediate the effects of mechanism variables on outcomes of the collaborative governance of social-ecological systems. Through the examination of four cases, we provide a proof-of-concept assessment and show the utility of the CMO framework and coding manual to draw comparisons across cases for understanding how collaborative outcomes are contingent on the social-ecological context in which they occur.

Microbial rhodopsins are photoreceptive membrane proteins that transport various ions using light energy. While they are widely used in optogenetics to optically control neuronal activity, rhodopsins that function with longer-wavelength light are highly demanded because of their low phototoxicity and high tissue penetration. Here, we achieve a 40-nm red-shift in the absorption wavelength of a sodium-pump rhodopsin (KR2) by altering dipole moment of residues around the retinal chromophore (KR2 P219T/S254A) without impairing its ion-transport activity. Structural differences in the chromophore of the red-shifted protein from that of the wildtype are observed by Fourier transform infrared spectroscopy. QM/MM models generated with an automated protocol show that the changes in the electrostatic interaction between protein and chromophore induced by the amino-acid replacements, lowered the energy gap between the ground and the first electronically excited state. Based on these insights, a natural sodium pump with red-shifted absorption is identified from Jannaschia seosinensis . Microbial rhodopsins are photoreceptive and widely used in optogenetics for which they should preferable function with longer-wavelength light. Here, authors achieve a 40-nm red-shift in the absorption wavelength of a sodium-pump rhodopsin (KR2) by altering the distribution of the retinal chromophore.

Malaria cases have dramatically declined in China along the Myanmar border, attributed mainly to adoption of the 1-3-7 surveillance and response approach. No indigenous cases have been reported in China since 2017. Counties in the middle and southern part of the border area have a higher risk for malaria importation and reestablishment after elimination.

In power inspection, uncertainties, such as wind gusts in the working environment, affect the trajectory of the inspection UAV (unmanned aerial vehicle), and a sliding mode adaptive robust control algorithm is proposed in this paper to solve this problem. For the nonlinear and under-driven characteristics of the inspection UAV system, a double closed-loop control system which includes a position loop and attitude loop is designed. Lyapunov stability analysis is used to determine whether the designed system could finally achieve asymptotic stability. Sliding-mode PID control and a backstepping control algorithm are applied to analyze the superiority of the control algorithm proposed in this paper. A PX4 based experimental platform system is built and experimental tests were carried out under outdoor environment. The effectiveness and superiority of the control algorithm are proposed in this paper. The experimental results show that the sliding mode PID control can achieve good accuracy with smaller computing costs. For nonlinear interference, the sliding mode adaptive robust control strategy can achieve higher trajectory tracking accuracy.