UNASSIGNED: The complications that DM2 can develop, and the undiagnosed population (6%) highlight the importance of screening at the population level. The aim of this work is to evaluate and verify whether the professional activity performed in pharmacies is a good point to detect patients with undiagnosed type 2 diabetes mellitus and to refer them for a possible diagnosis. Moreover, to evaluate the environmental impact of the actions.
UNASSIGNED: Findrisc questionnaire for patients who met the inclusion criteria and agreed to participate in the study. Basal capillary blood glucose measurement if the result was ≥15 points and referral to a physician if blood glucose was ≥110mg/dL.
UNASSIGNED: 44 pharmacies participated. The sample included 434 users; those with high or very high risk (Findrisc ≥15) underwent capillary basal glycemia, with a mean result of 124.51 mg/dL (SD=33.6). Out of the 89 patients referred to the physician (20.5%), the patients diagnosed with diabetes type 2 accounted for 3% of the analyzed sample.
UNASSIGNED: The number of newly diagnosed patients (3%) reflects that the community pharmacy is a good place for diabetes detection. In addition, the study reveals pharmacists\' usefulness in their role as a health educator, since they provide guidance on healthy lifestyle habits to those patients not subject to physician referral. Furthermore, closer collaborations between physicians and pharmacists would be necessary in diabetes screening, since the return of information was low; although we can observe that in rural areas, where the relationship is close, the return rate was 85.2%.

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Stormwater management problems have been deteriorated with the high frequency and intensity of precipitation owing to rapid urbanization and climate variability, especially in urban highly built-up area. Nature-based solutions (NBS) have emerged as a powerful measure for rising these challenges due to their ability to mitigate urban waterlogging and increase carbon sequestration. Identifying optimal locations for NBS implementation remains a critical research focus. This study integrates carbon and water footprint accounting into NBS-based planning for sustainable urban development in central Guangzhou, China, to enhance urban flooding mitigation and carbon sequestration. Through carbon-water footprint analysis and weighting, we prioritized NBS planning. To achieve the objectives of increasing sequestered carbon and reducing urban runoff, three types of NBS-green roofs, permeable pavements, and bioretention systems-were optimized for a high-priority town street. The results showed that the implementation of green roof and permeable pavement reduced the surface runoff by 3.58 %, while the biological retention system reduced the runoff gray water by 27 %. Moreover, the application of green roof and biological retention increased the carbon sequestration by 2.57 million kg CO2-eq (life cycle). The findings of this study provide comprehensive insights into optimization of NBS planning based on carbon-water footprint accounting, facilitating to enhance mitigation of urban flooding vulnerability and carbon sequestration.

An innovative circular economy (CE) system was implemented at the wastewater treatment plant (WWTP) in Brunswick. The performance of the CE system was evaluated for 4 years: the thermal pressure hydrolysis enhanced the methane production by 18% and increased the digestate dewaterability by 14%. Refractory COD formed in thermal hydrolysis and increased the COD concentration in the WWTP effluent by 4 mg L-1 while still complying with the legal threshold. Struvite production reached high phosphorus recovery rates of >80% with a Mg:P molar ratio ≥0.8. Nitrogen was successfully recovered as ammonium sulfate with high recovery rates of 85-97%. The chemical analyses of secondary fertilizers showed a low pollutant content, posing low risks to soil and groundwater ecosystems. The total carbon footprint of the WWTP decreased due to enhanced biogas production, the recovery of renewable fertilizers and a further reduction of nitrous oxide emissions. Using green energy will be crucial to reach carbon neutrality for the entire WWTP.

UNASSIGNED: Healthcare is responsible for 4% to 10% of carbon emissions worldwide, of which 22% is related to transport. Telemedicine emerged as a potential solution to reduce the footprint, for example, by reducing travel. However, a need to understand which variables to include in carbon footprint estimations in telemedicine limits our understanding of the beneficial impact telemedicine might have on our environment. This paper aims to systematically assess the reported carbon footprint and include variables assessed by the literature, comparing telemedicine with usual care.
UNASSIGNED: The systematic review followed the PRISMA guidelines in PubMed, Medline, Embase and Scopus. A quality assessment was performed using a transparency checklist for carbon footprint calculators. Carbon emissions were evaluated based on four categories, including patient travel, and streamlined life cycle assessment (LCA) for assessing included variables relevant to telemedicine.
UNASSIGNED: We included 33 articles from 1117 records for analysis. The average transparency score was 38% (range 18%-68%). The median roundtrip travel distance for each patient was 131 km (interquartile range [IQR]: 60.8-351), or 25.6 kgCO2 (IQR: 10.6-105.6) emissions. There is high variance among included variables. Saved emissions are structurally underestimated by not including external factors such as a streamlined LCA.
UNASSIGNED: Telemedicine aids in reducing emissions, with travel distance being the most significant contributor. Additionally, we recommend accounting for the LCA since it highlights important nuances. This review furthers the debate on assessing carbon footprint savings due to telemedicine.

Allergic diseases such as asthma, atopic dermatitis, and food allergies are a burgeoning health challenge in the Asia-Pacific region. Compounding this, the region has become increasingly susceptible to the impacts of climate change. The region has weathered extreme precipitation, intense heat waves, and dust storms over the recent decades. While the effects of environmental and genetic factors on allergic diseases are well understood, prevailing gaps in understanding the complex interactions between climate change and these factors remain. We aim to provide insights into the various pathways by which climate change influences allergic diseases in the Asia-Pacific population. We outline practical steps that allergists can take to reduce the carbon footprint of their practice on both a systemic and patient-specific level. We recommend that allergists optimize disease control to reduce the resources required for each patient\'s care, which contributes to reducing greenhouse gas emissions. We encourage the responsible prescription of metered dose inhalers by promoting the switch to dry powder inhalers for certain patients, at each clinician\'s discretion. We also recommend the utilization of virtual consultations to reduce patient travel while ensuring that evidence-based guidelines for rational allergy management are closely adhered to. Finally, eliminating unnecessary testing and medications will also reduce greenhouse gas emissions in many areas of medical care.

The food industry is a significant contributor to carbon emissions, impacting carbon footprint (CF), specifically during the heat drying process. Conventional heat drying processes need high energy and diminish the nutritional value and sensory quality of food. Therefore, this study aimed to investigate the integration of artificial intelligence (AI) in food processing to enhance quality and reduce CF, with a focus on heat drying, a high energy-consuming method, and offer a promising avenue for the industry to be consistent with sustainable development goals. Our finding shows that AI can maintain food quality, including nutritional and sensory properties of dried products. It determines the optimal drying temperature for improving energy efficiency, yield, and life cycle cost. In addition, dataset training is one of the key challenges in AI applications for food drying. AI needs a vast and high-quality dataset that directly impacts the performance and capabilities of AI models to optimize and automate food drying.

BACKGROUND: Sustainable low-carbon health systems are among the United Nations Climate Change Conference (COP27) goals. The literature states that 4.9% of greenhouse gas emissions originate from the health sector.
OBJECTIVE: This study aimed to quantify and visualize trends, citations, key terms and countries of publications about the carbon footprint of intensive care and review their contents.
METHODS: A bibliometric analysis was conducted on 14 articles selected by searching the SCOPUS database using the keywords \'Environmental sustainability\', \'Environmental footprint\', \'Carbon footprint\' and \'Intensive care unit\'. MS Excel was used to create graphs, and VOSviewer was used to perform network analysis. Content analysis methods were used to describe the details in each document.
RESULTS: Most articles on intensive care carbon footprint and environmental sustainability were published in 2023 (n = 7, 47%), with the first publication in 2014. The article \'Environmental sustainability in anaesthesia and critical care\', from the British Journal of Anaesthesia, was the most cited, with 166 citations. The carbon footprinting studies were conducted in the United Kingdom, Australia, United States and the Netherlands.
CONCLUSIONS: Minimizing electricity usage and waste generation (reducing, reusing and recycling more) can reduce the carbon footprint of intensive care. The number of studies on the subject was limited, and although none were specifically about nurses, sustainability and environmental impact are relevant topics for all intensive care staff.
CONCLUSIONS: Nurses and other health care professionals can improve environmental sustainability by better understanding how to reduce the carbon footprint of intensive care units.

Husks of rice (RH), coffee (CH), and cholupa (CLH) were used to produce natural adsorbents. The natural adsorbents were used to remove pharmaceuticals such as diclofenac, ciprofloxacin, and acetaminophen in a mixture of distilled water. However, CH stood out for its efficiency in removing ciprofloxacin (74%) due to the higher concentration of acidic groups, as indicated by the Boehm method. In addition, CH removed 86% of ciprofloxacin individually. Therefore, CH was selected and used to remove other fluoroquinolones, such as levofloxacin and Norfloxacin. Although electrostatic interactions favored removals, better removal was observed for ciprofloxacin due to its smaller molecular volume. Then, ciprofloxacin was selected, and the effect of pH, matrix, and adsorbent doses were evaluated. In this way, using a pH of 6.2 in urine with a dose of 1.5 g L-1, it is possible to adsorb CIP concentrations in the range (0.0050-0.42 mmol L-1). Subsequently, the high R2 values and low percentages of APE and Δq indicated better fits for pseudo-second-order kinetics, suggesting a two-stage adsorption. At the same time, the Langmuir isotherm recommends a monolayer adsorption with a Qm of 25.2 mg g-1. In addition, a cost of 0.373 USD/g CIP was estimated for the process, where the material can be reused up to 4 times with a CIP removal in the urine of 51%. Consequently, thermodynamics analysis showed an exothermic and spontaneous process with high disorder. Furthermore, changes in FTIR analysis after adsorption suggest that CH in removing CIP in urine involves electrostatic attractions, hydrogen bonds and π-π interactions. In addition, the life cycle analysis presents, for the 11 categories evaluated, a lower environmental impact of the CIP removal in urine with CH than for the preparation of adsorbent, confirming that the adsorption process is more environmentally friendly than materials synthesis or other alternatives of treatments. Furthermore, future directions of the study based on real applications were proposed.

The development of materials and the products made from them should respond to new challenges posed by market changes and also by climate change. Therefore, the objective of this investigation was to develop a method that supports the sustainable development of materials and the products made from them based on an aggregated indicator of quality and environmental load in the life cycle (QLCA). The testing and illustration of the QLCA method included a passenger car tyre and nine prototypes. These prototypes were described using eight quality criteria: season, class, size of the load index, speed index, rolling, adhesion, and external noise. Then, customer expectations regarding the importance of the criteria and satisfaction with the indicators in the current and modified states were obtained. Based on the customer assessment, the quality indicators of the prototypes were assessed. This assessment was supported by the weighted sum model (WSM) and the entropy method. Then, life cycle assessment for the reference tyre was performed using the Ecoinvent database in the OpenLCA program. LCA indicators were modelled for other prototypes, taking into account quality changes. As a result of the verification of the method, an aggregated QLCA indicator was estimated, based on which it was possible to select the most favourable (qualitatively and environmentally) prototype out of nine. This was the P4 prototype (QLCA = 0.57). The next position in the ranking was taken by P7 (QLCA = 0.43). The QLCA method can be used to determine the direction of development of materials and products in terms of their sustainable development.