Minimal Reductions Research Articles

Investigating encapsulation design strategy of photovoltaic cells in the case of a solar race car

The efficiency in converting solar energy into electricity is fundamental wherever photovoltaic panels are present, still more crucial in the design of racing solar vehicles. Even minimal reductions in conversion ratio, maintained for the long solar races, cause solar cars to lose race positions and competitiveness. Here we introduce a numerical-experimental study for choosing the best combination of materials to encapsulate cells in solar roofs. The tangible expectation is to improve the performance of the monocrystalline silicon cells used in our solar vehicle by maximizing heat dissipation to the environment. The operating temperature is in fact a determining factor for efficient conversion, with efficiency drops of the order of 5% every 10 °C. Different stratifications, some of which quite unusual in solar panel design, were compared by transient thermal simulations and experiments. Specifically, five alternatives were analyzed, varying in the presence and thickness of the encapsulation materials (ETFE, EVA and PET). The main scope of the work, however, was not choosing the best among several specific hypotheses, but the development of an accurate numerical model able to predict the behavior of the solar panel in conditions close to the expected ones. This model, in fact, has provided valuable help in optimizing the vehicle design by allowing to evaluate the effect of alternative materials and construction solutions in the cell’s construction housing structure.

A concise overview of thin film photovoltaics

Despite the advancements in photovoltaics, there is only minimal reductions in the cost of crystalline silicon solar cell technology. Hence it became crucial to explore low cost photovoltaic technologies for the continuous growth of industry. Discovery of thin layer semiconductor technology has opened up the path for thin film photovoltaics (TFPV). Due to fabrication of 200–300 times solar cells though TFPV, a significant reduction in cost has been achieved by photovoltaic technology. Although, these TFPV cells showcased lower efficiencies than conventional solar cells, they have reported higher energy output per unit cost.

Voluntary wheel running behaviour as a tool to assess the severity in a mouse pancreatic cancer model.

Laboratory animals frequently undergo routine experimental procedures such as handling, restraining and injections. However, as a known source of stress, these procedures potentially impact study outcome and data quality. In the present study, we, therefore, performed an evidence-based severity assessment of experimental procedures used in a pancreatic cancer model including surgical tumour induction and subsequent chemotherapeutic treatment via repeated intraperitoneal injections. Cancer cell injection into the pancreas was performed during a laparotomy under general anaesthesia. After a four-day recovery phase, mice received either drug treatment (galloflavin and metformin) or the respective vehicle substances via daily intraperitoneal injections. In addition to clinical scoring, an automated home-cage monitoring system was used to assess voluntary wheel running (VWR) behaviour as an indicator of impaired well-being. After surgery, slightly elevated clinical scores and minimal body weight reductions, but significantly decreased VWR behaviour were observed. During therapy, body weight declined in response to chemotherapy, but not after vehicle substance injection, while VWR activity was decreased in both cases. VWR behaviour differed between treatment groups and revealed altered nightly activity patterns. In summary, by monitoring VWR a high impact of repeated injections on the well-being of mice was revealed and substance effects on well-being were distinguishable. However, no differences in tumour growth between treatment groups were observed. This might be due to the severity of the procedures uncovered in this study, as exaggerated stress responses are potentially confounding factors in preclinical studies. Finally, VWR was a more sensitive indicator of impairment than clinical scoring in this model.

The 10 most frequently requested blood tests in the Capital Region of Denmark, 2010–2019 and simulated effect of minimal retesting intervals

As healthcare costs continue to rise throughout the world, critical assessment of the appropriateness of expenses gain focus. Objectives: We aimed to describe the developments in test numbers of the 10 most frequently requested tests, and to simulate the effect of introducing minimal retesting intervals. Design & Methods: Data from the blood tests – albumin, alanine transaminase, cholesterol, creatinine, C-reactive protein, hemoglobin, hemoglobin A1c, potassium, sodium, and thyrotropin – from 2,687,589 patients handled by the Capital Region of Denmark from 2010 to 2019 was used. Tallies of each test per year were graphed. A simulation of the effect of minimal retesting intervals on test count and blood sampling volume was performed by virtually removing requests made prior to a set of possible minimal retesting intervals. Results: Increases in requests were observed both from hospitals and general practitioners. The number of requests for hemoglobin A1c increased more than the other tests. The increases could not be accounted for by an increase in population size and aging of the population, and therefore suggests possible inappropriate increase in monitoring of patients. The simulated effect of applying minimal retesting intervals showed large reductions in tests and blood sampled. Conclusions: For hospitals, the simulation suggested that applying minimal retesting intervals could lead to significant reductions in both the number of blood tests performed and in the amount of blood drawn for testing. For general practitioners, the simulation showed only minimal reductions in number of tests and blood volume drawn.

Cost-effectiveness of carbapenem-resistant Enterobacteriaceae (CRE) surveillance in Maryland.

We analyzed the efficacy, cost, and cost-effectiveness of predictive decision-support systems based on surveillance interventions to reduce the spread of carbapenem-resistant Enterobacteriaceae (CRE). We developed a computational model that included patient movement between acute-care hospitals (ACHs), long-term care facilities (LTCFs), and communities to simulate the transmission and epidemiology of CRE. A comparative cost-effectiveness analysis was conducted on several surveillance strategies to detect asymptomatic CRE colonization, which included screening in ICUs at select or all hospitals, a statewide registry, or a combination of hospital screening and a statewide registry. We investigated 51 ACHs, 222 LTCFs, and skilled nursing facilities, and 464 ZIP codes in the state of Maryland. The model was informed using 2013-2016 patient-mix data from the Maryland Health Services Cost Review Commission. This model included all patients that were admitted to an ACH. On average, the implementation of a statewide CRE registry reduced annual CRE infections by 6.3% (18.8 cases). Policies of screening in select or all ICUs without a statewide registry had no significant impact on the incidence of CRE infections. Predictive algorithms, which identified any high-risk patient, reduced colonization incidence by an average of 1.2% (3.7 cases) without a registry and 7.0% (20.9 cases) with a registry. Implementation of the registry was estimated to save $572,000 statewide in averted infections per year. Although hospital-level surveillance provided minimal reductions in CRE infections, regional coordination with a statewide registry of CRE patients reduced infections and was cost-effective.

Using choice experiments to improve equity in access to socially marketed HIV prevention products

Designing strategies to introduce new HIV prevention technologies requires balancing equitable access with sustainable distribution, particularly in resource constrained settings with high HIV prevalence. This paper explores how knowledge of preference heterogeneity can guide the equitable targeting of HIV prevention products using differentiated advertising and product placement to balance increased access with sustainability.A discrete choice experiment elicited 1016 women's preferences for distribution of HIV prevention products in South Africa. Qualitative research guided the experimental design which considered distribution outlet, collection method, advertising message, and price. A range of choice models, including random parameters logit, latent class and latent class random parameters logit models, were compared for fit.A latent class model showed the best fit and distinguished two classes of women: Class 1 were significantly more likely to be cohabiting and unemployed, who preferred products advertised for HIV prevention distributed through clinics and were highly price sensitive. Class 2 significantly preferred distribution through pharmacies and advertising around women's empowerment, while price was not a key factor.This analysis suggests that equity in access to new products could be advanced through exploiting preference heterogeneity between groups. The identified groups can be then used to design social marketing differentiated distribution strategies. Distributing free products promoted for HIV prevention could discourage ‘leakage’ of highly subsidised products to women with some capacity to pay, while priced products marketed for women's empowerment through pharmacies could encourage cost recovery with minimal reductions in coverage among employed women.

Association between government policy and delays in emergent and elective surgical care during the COVID-19 pandemic in Brazil: a modeling study

BackgroundThe impact of public health policy to reduce the spread of COVID-19 on access to surgical care is poorly defined. We aim to quantify the surgical backlog during the COVID-19 pandemic in the Brazilian public health system and determine the relationship between state-level policy response and the degree of state-level delays in public surgical care. MethodsMonthly estimates of surgical procedures performed per state from January 2016 to December 2020 were obtained from Brazil's Unified Health System Informatics Department. Forecasting models using historical surgical volume data before March 2020 (first reported COVID-19 case) were constructed to predict expected monthly operations from March through December 2020. Total, emergency, and elective surgical monthly backlogs were calculated by comparing reported volume to forecasted volume. Linear mixed effects models were used to model the relationship between public surgical delivery and two measures of health policy response: the COVID-19 Stringency Index (SI) and the Containment & Health Index (CHI) by state. FindingsBetween March and December 2020, the total surgical backlog included 1,119,433 (95% Confidence Interval 762,663–1,523,995) total operations, 161,321 (95%CI 37,468–395,478) emergent operations, and 928,758 (95%CI 675,202–1,208,769) elective operations. Increased SI and CHI scores were associated with reductions in emergent surgical delays but increases in elective surgical backlogs. The maximum government stringency (score = 100) reduced emergency delays to nearly zero but tripled the elective surgical backlog. InterpretationStrong health policy efforts to contain COVID-19 ensure minimal reductions in delivery of emergent surgery, but dramatically increase elective backlogs. Additional coordinated government efforts will be necessary to specifically address the increased elective backlogs that accompany stringent responses.

Scallop dredge design using computational fluid dynamics and flume tank testing and the application of both methods to improving a low profile dredge

The Atlantic sea scallop (Placopecten magellanicus) is the focus of one of the most valuable fisheries on the east coast of the United States, but the incidental bycatch of flounder species could have negative impacts on the long-term sustainability of the scallop fishery. The low profile dredge (LPD) was conceived as a modified dredge that would reduce flounder bycatch by decreasing the vertical distance to the top of the dredge, allowing the fish to more easily swim over the top to escape. During initial development, two prototypes were tested at sea, and each reduced flounder catch with minimal reductions in scallop catch. To make continued refinement of the LPD more efficient and cost effective, we incorporated computational fluid dynamics (CFD) analysis and flume tank testing into our design strategy. The use of CFD analysis was validated with comparisons to flume tank tests and data from at-sea trials through examination of turbulent flow patterns and particle trajectories. There was a strong correspondence between the CFD simulation outputs and the results of the flume tank tests and at-sea gear trials, supporting the use of computer simulations during the early stages of gear design to speed up and reduce the cost of new gear development.

A Brief Motivational Intervention Differentially Reduces Sugar-sweetened Beverage (SSB) Consumption.

BackgroundEnvironmental and behavioral interventions hold promise to reduce sugar-sweetened beverage (SSBs) consumption.PurposeTo test, among frequent SSB consumers, whether motivations to consume SSBs moderated the effects of (a) a workplace SSB sales ban (environmental intervention) alone, and (b) a “brief motivational intervention” (BI) in addition to the sales ban, on changes in SSB consumption.MethodsWe assessed whether (1) baseline motivations to consume SSBs (craving, psychological stress, or taste enjoyment) impacted changes in daily SSB consumption at 6-month follow-up among frequent (>12oz of SSBs/day) SSB consumers (N = 214); (2) participants randomized to the BI (n = 109) versus to the sales ban only (n = 105) reported greater reductions in SSB consumption at follow-up; and (3) motivations to consume SSBs moderated any changes in SSB consumption.ResultsIn response to the sales ban alone, individuals with stronger SSB cravings (+1 SD) at baseline showed significantly smaller reductions in daily SSB consumption at 6-month follow-up relative to individuals with weaker (−1 SD) SSB cravings (2.5 oz vs. 22.5 oz), p < .01. Receiving the BI significantly increased reductions for those with stronger SSB cravings: Among individuals with stronger cravings, those who received the BI evidenced significantly greater reductions in daily SSB consumption [M(SE) = −19.2 (2.74) oz] than those who did not [M(SE) = −2.5 (2.3) oz, p < .001], a difference of 16.72 oz.ConclusionsFrequent SSB consumers with stronger SSB cravings report minimal reductions in daily SSB consumption with a sales ban only, but report greater reductions if they also receive a motivational intervention. Future multilevel interventions for institutions should consider both environmental and individualized multi-level interventions.Clinical Trial informationNCT02585336.

Classifying Relaxed Highest-Weight Modules for Admissible-Level Bershadsky–Polyakov Algebras

The Bershadsky-Polyakov algebras are the minimal quantum hamiltonian reductions of the affine vertex algebras associated to $\mathfrak{sl}_3$ and their simple quotients have a long history of applications in conformal field theory and string theory. Their representation theories are therefore quite interesting. Here, we classify the simple relaxed highest-weight modules, with finite-dimensional weight spaces, for all admissible but nonintegral levels, significantly generalising the known highest-weight classifications [arxiv:1005.0185, arxiv:1910.13781]. In particular, we prove that the simple Bershadsky-Polyakov algebras with admissible nonintegral $\mathsf{k}$ are always rational in category $\mathscr{O}$, whilst they always admit nonsemisimple relaxed highest-weight modules unless $\mathsf{k}+\frac{3}{2} \in \mathbb{Z}_{\ge0}$.

Concentrated Solar Power Solar Tower with Oversized Solar Field and Molten Salt Thermal Energy Storage Working at an Annual Average Capacity Factor of 95% in NEOM City

Herein, a design for a concentrated solar power (CSP) plant solar tower (ST) with thermal energy storage (TES) by molten salt (MS) in NEOM city, a 100% renewable energy planned development, is presented. The novelty of the design is the oversized solar field, as well as the TES, to produce nearly constant power output every day of the year, with minimal reductions only in the winter months. A 95% annual average capacity factor is estimated to be delivered by this ST plant at a levelized cost of electricity (LCOE) of 7.84 c kWh−1. The CSP ST with 16 h of TES by MS is the best opportunity to deliver cost‐effective, fully dispatchable, reliable renewable energy, for both the economy and the environment. Other renewable energy options such as solar photovoltaic (PV) and wind may offer a lower LCOE even below 5 c kWh−1, but once battery storage is factored for dispatchability, the real cost increases by 14 c kWh−1. The proposed technology may deliver most of the electricity needed by NEOM city, with solar PV and wind plus batteries used for peak demand and to compensate for residual variability.

Ozanimod in relapsing multiple sclerosis: Pooled safety results from the clinical development program

BackgroundOzanimod, an oral sphingosine 1-phosphate receptor 1 and 5 modulator, is approved in multiple countries for the treatment of relapsing multiple sclerosis (RMS). In phase 3 trials, ozanimod was well tolerated and superior to interferon beta-1a 30 µg once-weekly in reducing clinical and radiologic disease activity. The objective of this integrated safety analysis was to evaluate the safety of extended ozanimod exposure in participants with RMS from all clinical trials and compare it with phase 3 trial data. MethodsWe report pooled incidence and study duration‒adjusted incidence rates (IR) of treatment-emergent adverse events (TEAEs) from an interim data cut (January 31, 2019) of RMS participants treated with ozanimod. Data were pooled from a phase 1 pharmacokinetic/pharmacodynamic trial, a placebo-controlled phase 2 trial with dose-blinded extension, 2 large active-controlled phase 3 trials, and an open-label extension (OLE). Results were compared with pooled phase 3 trial data. ResultsAt the data cutoff, 2631 RMS participants had exposure to ozanimod 0.92 mg (mean 32.0 months) and 2787 had exposure to either ozanimod 0.46 or 0.92 mg (mean 37.1 months). The IRs per 1000 person-years (PY) for any TEAE (772.2) and serious TEAEs (33.2) in the overall population were similar to those in the phase 3 population (896.1 and 31.2, respectively). There were no serious opportunistic infections. There were no second-degree or higher atrioventricular blocks on electrocardiogram. Hepatic enzyme elevations declined over time. Malignancy rates remained low with longer exposure. Pulmonary function tests showed minimal reductions in lung function. Seven ozanimod-treated participants with comorbid risk factors had confirmed macular edema, including 3 in the ongoing OLE. ConclusionsSafety results in this larger RMS population with greater ozanimod exposure demonstrated no new safety concerns and were consistent with phase 3 trial results.

Minimal reductions and core of ideals in pullbacks

This paper deals with minimal reductions and core of ideals in various settings of pullback constructions with the aim of building original examples, where we explicitly compute the core. To this purpose, we use techniques and objects from multiplicative ideal theory to investigate the existence of minimal reductions in Section 2 and then develop explicit formulas for the core in Section 3. The last section features illustrative examples and counterexamples.

Even a Mild Sleep Restriction Can Impact Daytime Functioning in Children with ADHD and Their Typically Developing Peers

ABSTRACT Objectives/Background Correlational studies show that short sleep is associated with negative daytime outcomes in school-aged children, but there are few experimental sleep manipulation studies to assess whether this is a causal relation. The aim of this study was to determine the impact of mild, cumulative sleep restriction on daytime functioning of typically developing (TD) children and children with attention-deficit/hyperactivity disorder (ADHD). Participants A total of 36 school-aged children (n = 18 TD; n = 18 ADHD), aged 6–11 years participated. Methods Children participated in two sleep conditions (order counter-balanced). The Restricted condition required a 1 h reduction of time in bed for one week, and the Controlled Typical condition was based on participant’s average baseline sleep. At the end of each condition, participants attended the sleep lab for overnight polysomnography and daytime functioning assessments. Results Children successfully reduced time in bed by ~1 h. Due to compensatory changes, total sleep time (TST) was reduced by only ~20 min, as children fell asleep faster and spent less time awake after sleep onset during the Restricted compared to Controlled Typical condition. Many daytime functions were not affected by this very mild sleep restriction, however, both groups showed significant changes in performance on an objective attention task and on a parent-rated emotional lability measure after six nights of minimal reductions in TST. There were no significant differences between groups. Conclusions Results suggest that a very mild sleep restriction can affect children’s attention and emotional regulation, even with evidence of compensatory sleep mechanisms.

Modeling COVID-19 infection risks for a single hand-to-fomite scenario and potential risk reductions offered by surface disinfection

We used a quantitative microbial risk assessment approach to relate log10 disinfection reductions of SARS-CoV-2 bioburden to COVID-19 infection risks. Under low viral bioburden, minimal log10 reductions may be needed to reduce infection risks for a single hand-to-fomite touch to levels lower than 1:1,000,000, as a risk comparison point. For higher viral bioburden conditions, log10 reductions of more than 2 may be needed to achieve median infection risks of less than 1:1,000,000.

Decarbonising the critical sectors of aviation, shipping, road freight and industry to limit warming to 1.5–2°C

ABSTRACT Limiting warming to well below 2°C requires rapid and complete decarbonisation of energy systems. We compare economy-wide modelling of 1.5°C and 2°C scenarios with sector-focused analyses of four critical sectors that are difficult to decarbonise: aviation, shipping, road freight transport, and industry. We develop and apply a novel framework to analyse and track mitigation progress in these sectors. We find that emission reductions in the 1.5°C and 2°C scenarios of the IMAGE model come from deep cuts in CO2 intensities and lower energy intensities, with minimal demand reductions in these sectors’ activity. We identify a range of additional measures and policy levers that are not explicitly captured in modelled scenarios but could contribute significant emission reductions. These are demand reduction options, and include less air travel (aviation), reduced transportation of fossil fuels (shipping), more locally produced goods combined with high load factors (road freight), and a shift to a circular economy (industry). We discuss the challenges of reducing demand both for economy-wide modelling and for policy. Based on our sectoral analysis framework, we suggest modelling improvements and policy recommendations, calling on the relevant UN agencies to start tracking mitigation progress through monitoring key elements of the framework (CO2 intensity, energy efficiency, and demand for sectoral activity, as well as the underlying drivers), as a matter of urgency. Key policy insights Four critical sectors (aviation, shipping, road freight, and industry) cannot cut their CO2 emissions to zero rapidly with technological supply-side options alone. Without large-scale negative emissions, significant demand reductions for those sectors’ activities are needed to meet the 1.5–2°C goal. Policy priorities include affordable alternatives to frequent air travel; smooth connectivity between low-carbon travel modes; speed reductions in shipping and reduced demand for transporting fossil fuels; distributed manufacturing and local storage; and tightening standards for material use and product longevity. The COVID-19 crisis presents a unique opportunity to enact lasting CO2 emissions reductions, through switching from frequent air travel to other transport modes and online interactions. Policies driving significant demand reductions for the critical sectors’ activities would reduce reliance on carbon removal technologies that are unavailable at scale.

Functional sympatholysis is preserved in healthy young Black men during rhythmic handgrip exercise.

Black men have attenuated increases in forearm vascular conductance (FVC) and forearm blood flow (FBF) during moderate- and high-intensity rhythmic handgrip exercise compared with White men, but the underlying mechanisms are unclear. Here, we tested for the first time the hypothesis that functional sympatholysis (i.e., attenuation of sympathetic vasoconstriction in the exercising muscles) is impaired in Black men compared with White men. Thirteen White and 14 Black healthy young men were studied. FBF (duplex Doppler ultrasound) and mean arterial pressure (MAP; Finometer) were measured at rest and during rhythmic handgrip exercise at 30% maximal voluntary contraction. FVC was calculated as FBF/MAP. Sympathetic activation was induced via lower body negative pressure (LBNP) at -20 Torr for 2 min at rest and from the 3rd to the 5th min of handgrip. Sympathetic vasoconstriction was assessed as percent reductions in FVC during LBNP. The groups presented similar resting FVC, FBF, and MAP. During LBNP at rest, reductions in FVC were not different between White (-35 ± 10%) and Black men (-32 ± 14%, P = 0.616), indicating similar reflex-induced sympathetic vasoconstriction. During handgrip exercise, there were minimal reductions in FVC with LBNP in either group (White: -1 ± 7%; Black: +1 ± 8%; P = 0.523), indicating functional sympatholysis in both groups. Thus, contrary to our hypothesis, our findings indicate a preserved functional sympatholysis in healthy young Black men compared with White men, suggesting that this mechanism does not appear to contribute to reduced exercise hyperemia during moderate-intensity rhythmic handgrip in this population.

A manufacturer-buyers integrated inventory model with generic distribution of lead times to deliver equal and/or unequal batch sizes

Although lead time variation is common in practice, integrated single-manufacturer multi-buyer model considering this factor is unavailable in the extant literature. This article considers generic distribution of lead times of delivering equal and/or unequal batch (sub-lot) sizes of a lot in developing a synchronised integrated single-manufacturer multi-buyer model. The batch sizes are assumed to be in geometric series. The variables considered in the model are the smallest batch size, total number of batches and number of unequal batch sizes delivered from the manufacturer to buyers. The smallest batch sizes delivered to the buyers are bounded below by 1 and above by the capacity of the transport vehicle. The minimal total cost solution technique to the model is derived by the method of differentiation. Significant minimal total cost reductions by the synchronised flow is illustrated through solutions to some numerical example problems. Sensitivity analyses on increasing costs of transportation, shortage, inventory and increasing mean lead times upon the optimal solution have been performed.

Nitrous oxide emissions from manured soils as a function of various nitrification inhibitor rates and soil moisture contents

Application of nitrification inhibitors (NI) coupled with nitrogen additions can reduce nitrous oxide (N2O) emissions. The effectiveness of NIs can be impacted by environmental and soil conditions; however, more information is needed about their optimum application rates, in particular when applied with manure. This study investigated the effectiveness of a range of NIs application rates on reducing N2O emissions from soils receiving liquid manure additions under three moisture contents. Two incubations (A and B) were conducted in Gray Luvisolic (GL) and Black Chernozemic (BC) soils using two NIs [2-chloro-6-(trichloromethyl) pyridine (nitrapyrin) and the new 3,4-dimethylpyrazole succinic acid (DMPSA)]. Soil NH4+ and NO3− concentrations were measured. Beneficial N2O emission reductions caused by NIs were evident at the intermediate and high soil water contents. The averaged emission reductions were 60% and 56% at the 60% and 80% water-filled pore space (WFPS) of the GL soil, respectively. Likewise, a coherent reduction of 58% was also found at the 60% WFPS of the BC soil. Conversely, this emission reduction vanished in this very carbon-rich, clayey BC soil at the highest moisture (80% WFPS). Moreover, as low N2O fluxes occurred with the lowest moisture (40% WFPS), non-significant and minimal emission reductions by NIs were observed, with a null reduction in the BC soil and only 10% averaged reduction in the GL soil at 40% WFPS. Focusing on the N2O emission reduction and nitrification inhibition under a broad range of NIs rates (in incubation B), as soil moisture rose from 60 to 80% WFPS, the most efficient NI rate increased from 0.25 to 1.0 kg a.i. ha−1 for nitrapyrin and from 0.22 to 0.65 kg a.i. ha−1 for DMPSA in both soils. In sum, results inform how soil moisture and NI application rates influence the effectiveness of NIs, aiding to improve strategies to reduce N losses from agricultural systems with NI implementation.

Sodium alginate coatings added with Meyerozyma caribbica: Postharvest biocontrol of Colletotrichum gloeosporioides in avocado (Persea americana Mill. cv. Hass)

Abstract Edible coatings have been used as a medium for the incorporation of functional compounds and biocontrol agents to postharvest diseases control on fruits and to maintain their quality parameters. However, there are few reports about the use of biocontrol agents entrapped in polymeric matrices; to our knowledge, there is no report of their application to anthracnose control in avocado fruit. Hence the aims of this study were to investigate the production of volatile organic compounds (VOCs) by Meyerozyma caribbica and the ability of the yeast entrapped in sodium alginate (SA) coatings to control anthracnose caused by Colletotrichum gloeosporioides Pa14 in avocado fruit. The yeast viability, biocontrol activity, effect on weight loss as well as the efficacy of the bioactive coatings to preserve postharvest quality by prevention or cure of C. gloeosporioides infection were assessed. The main VOCs identified were alcohols (1-Butanol, 3-methyl- and phenethyl alcohol) and esters (ethyl acetate). Results revealed SA as a matrix able to maintain the yeast viability during the storage on coated avocado fruit, with minimal reductions between 0.39 and 1 Log10 CFU mL−1, depending on storage conditions. Moreover, it was demonstrated the ability of the yeast to increase its population during the ripening of avocado fruit previously-stored at 6 °C. Films with M. caribbica were capable to inhibit C. gloeosporioides growth in vitro. Meanwhile, in vivo, the preventive treatments were more effective than curative treatments in anthracnose controlling; at 25 °C the severity was halved, while at 6 °C the reduction reached 100 %. Additionally, in avocado fruit with the bioactive coatings, the weight loss was reduced by 2–3.7 % respect to the control. In conclusion, this study demonstrates the ability of M. caribbica to produce VOCs as a mechanism of action against C. gloeosporioides; additionally, SA coatings with M. caribbica were effective to reduce the weight loss and its potential as an alternative to control of postharvest diseases in avocado fruit.