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Nanopore sequencing harnesses changes in ionic current as nucleotides traverse a nanopore, enabling real-time decoding of DNA/RNA sequences. The instruments for the dynamic behavior of substances in the nanopore on the molecular scale are still very limited experimentally. This study employs all-atom molecular dynamics (MD) simulations to explore the impact of charge densities on graphene nanopore in the translocation of single-stranded DNA (ssDNA). We find that the magnitude of graphene's charge, rather than the charge disparity between ssDNA and graphene, significantly influences ssDNA adsorption and translocation speed. Specifically, high negative charge densities on graphene nanopores are shown to substantially slow down ssDNA translocation, highlighting the importance of hydrodynamic effects and electrostatic repulsions. This indicates translocation is crucial for achieving distinct ionic current blockades, which plays a central role for DNA sequencing accuracy. Our findings suggest that negatively charged graphene nanopores hold considerable potential for optimizing DNA sequencing, marking a critical advancement in this field. [ABSTRACT FROM AUTHOR]

The aim of the study is to identify the variables relating to the management of labour relations and conflicts that occur within hotel companies and how these enable the generation of employee engagement. A quantitative approach is presented in which a multiple linear regression is used to identify those variables with the greatest influence in making the people who make up the organisation feel committed to it. The tool used to collect information was a questionnaire made up of 56 items measured on a Likert scale and completed by workers with at least 5 years' experience in the sector. Among the variables that generate greater engagement, the following stand out: feeling informed, the possibility of reconciling work and family life, fair pay, pride in belonging, a clear vision of the job or the option of complaining in the event of unfair treatment. There is scope for companies to increase this engagement by including social benefits, the possibility of teleworking or emotional pay. [ABSTRACT FROM AUTHOR]

The study proposes an approach to elucidate spatiotemporal mesoscale variations of seawater Dimethylsulfide (DMS) concentrations, the largest natural source of atmospheric sulfur aerosol, based on the Gaussian Process Regression (GPR) machine learning model. Presently, the GPR was trained and evaluated by nested cross-validation across the warm-oligotrophic Mediterranean Sea, a climate hot spot region, leveraging the high-resolution satellite measurements and Mediterranean physical reanalysis together with in-situ DMS observations. The end product is daily gridded fields with a spatial resolution of 0.083° × 0.083° (~9 km) that spans 23 years (1998–2020). Extensive observations of atmospheric methanesulfonic acid (MSA), a typical biogenic secondary aerosol component from DMS oxidation, are consistent with the parameterized high-resolution estimates of sea-to-air DMS flux (FDMS). This represents substantial progress over existing coarse-resolution DMS global maps which do not accurately depict the seasonal patterns of MSA in the Mediterranean atmospheric boundary layer. [ABSTRACT FROM AUTHOR]

The 2022 and 2023 western Mediterranean summer temperatures exceeded millennial natural variability, reaching unprecedented anomalies of +3.6 °C and +2.9 °C respectively. We show that anthropogenic climate change may turn extreme heatwaves from a rarity of 1 in 10,000 years into events occurring every 4–75 years, depending on future scenarios. This shift underscores the urgency of implementing adaptive strategies as extreme climate events manifest sooner and more intensely than expected. [ABSTRACT FROM AUTHOR]

In addition to natural curiosity, science is characterized by a number of psychological processes and perceptions. Among the psychological features, scientific enquiry relates to uncovering—or discovering—aspects of a world perceived as hidden from humans. A speculative theoretical model is presented, suggesting the evolution of science reflects psychological repercussions of wearing clothes. Specifically, the natural world is perceived as hidden due to the presence of clothing. Three components of scientific enquiry may arise from clothing: detachment from sensual experience, a perception that the world is veiled in mystery, and an intellectual desire to uncover the hidden structure of nature. Rather than beginning with the emergence of Homo sapiens, the proposed connection with clothing implies that psychological foundations for science began to develop during the last ice age, with the invention of complex clothes that fully covered the human body. After the end of the last ice age, elements of scientific thinking began to emerge in societies where clothing was worn routinely for psychosocial reasons, including modesty. Notably, a scientific attitude was essentially absent in hunter-gatherer communities where nakedness remained the norm. This novel perspective aims to advance the history and philosophy of science, revealing the emergence of science as a situated phenomenon contingent on humans being covered. [ABSTRACT FROM AUTHOR]

We analyse the regional variability in observed sea surface height (SSH), sea surface temperature (SST) and ocean colour (OC) from the ESA Climate Change Initiative datasets over the period 1993-2011. The analysis focuses on the signature of the ocean large-scale climate fluctuations driven by the atmospheric forcing and do not address the mesoscale variability. We use the ECCO version 4 ocean reanalysis to unravel the role of ocean transport and surface buoyancy fluxes in the observed SSH, SST and OC variability. We show that the SSH regional variability is dominated by the steric effect (except at high latitude) and is mainly shaped by ocean heat transport divergences with some contributions from the surface heat fluxes forcing that can be significant regionally (confirming earlier results). This is in contrast with the SST regional variability, which is the result of the compensation of surface heat fluxes by ocean heat transport in the mixed layer and arises from small departures around this background balance. Bringing together the results of SSH and SST analyses, we show that SSH and SST bear some common variability. This is because both SSH and SST variability show significant contributions from the surface heat fluxes forcing. It is evidenced by the high correlation between SST and buoyancy-forced SSH almost everywhere in the ocean except at high latitude. OC, which is determined by phytoplankton biomass, is governed by the availability of light and nutrients that essentially depend on climate fluctuations. For this reason, OC shows significant correlation with SST and SSH. We show that the correlation with SST displays the same pattern as the correlation with SSH with a negative correlation in the tropics and subtropics and a positive correlation at high latitude. We discuss the reasons for this pattern. [ABSTRACT FROM AUTHOR]

This article presents a review of current practice in estimating steric sea level change, focussed on the treatment of uncertainty. Steric sea level change is the contribution to the change in sea level arising from the dependence of density on temperature and salinity. It is a significant component of sea level rise and a reflection of changing ocean heat content. However, tracking these steric changes still remains a significant challenge for the scientific community. We review the importance of understanding the uncertainty in estimates of steric sea level change. Relevant concepts of uncertainty are discussed and illustrated with the example of observational uncertainty propagation from a single profile of temperature and salinity measurements to steric height. We summarise and discuss the recent literature on methodologies and techniques used to estimate steric sea level in the context of the treatment of uncertainty. Our conclusions are that progress in quantifying steric sea level uncertainty will benefit from: greater clarity and transparency in published discussions of uncertainty, including exploitation of international standards for quantifying and expressing uncertainty in measurement; and the development of community 'recipes' for quantifying the error covariances in observations and from sparse sampling and for estimating and propagating uncertainty across spatio-temporal scales. [ABSTRACT FROM AUTHOR]

In the growing e-commerce industry, the problem of malicious business operations has become increasingly prominent, exposing many problems such as weak supervision of e-commerce platforms and no way for consumers to complain. In order to solve the problems of counterfeit and shoddy products on e-commerce platforms and promote the sustainable development of the e-commerce industry in China, this paper constructs a three-party evolutionary game model of e-commerce platforms, merchants, and consumers, investigates the influence of each influencing factor on each party's strategy choice, and provides targeted suggestions to e-commerce platforms based on relevant factors. Finally, the impact of several important parameters on the equilibrium solution is discussed through sensitivity analysis. The results show that: 1) the smaller the cost difference between active and negative regulation, the more the e-commerce platform tends to active regulation strategy, but increasing fines for dishonest merchants and consumer complaints have little impact on the e-commerce platform; 2) increasing consumer compensation, creating an honest business environment, and reducing the cost of honest business all help companies tend to operate in good faith; 3) the only factor that affects the tendency of consumer complaint strategies is the cost of complaints. The loss suffered by silence and the compensation given to consumers have little effect on consumers' tendency to complain strategy. The results can provide theoretical guidance for participants to make useful strategic decisions in the e-commerce market. [ABSTRACT FROM AUTHOR]

Slow and long-term variations of sea surface temperature anomalies have been interpreted as a red-noise response of the ocean surface mixed layer to fast and random atmospheric perturbations. How fast the atmospheric noise is damped depends on the mixed layer depth. In this work we apply this theory to determine the relevant spatial and temporal scales of surface layer thermal inertia in lakes. We fit a first order auto-regressive model to the satellite-derived Lake Surface Water Temperature (LSWT) anomalies in Lake Garda, Italy. The fit provides a time scale, from which we determine the mixed layer depth. The obtained result shows a clear spatial pattern resembling the morphological features of the lake, with larger values (7.18± 0.3 m) in the deeper northwestern basin, and smaller values (3.18 ± 0.24 m) in the southern shallower basin. Such variations are confirmed by in-situ measurements in three monitoring points in the lake and connect to the first Empirical Orthogonal Function of satellite-derived LSWT and chlorophyll-a concentration. Evidence from our case study open a new perspective for interpreting lake-atmosphere interactions and confirm that remotely sensed variables, typically associated with properties of the surface layers, also carry information on the relevant spatial and temporal scales of mixed-layer processes. [ABSTRACT FROM AUTHOR]

Purpose: Silicone oil droplets in biopharmaceutical products can originate from sources such as siliconized surfaces of primary packaging materials, potentially triggering the formation of protein–silicone oil particles. To better understand this phenomenon, there is a need for particle detection devices that cannot only distinguish between protein particles and silicone oil droplets but also determine particle sizes ranging from nanometers to micrometers. Method: In this study, we conducted a systematic assessment of imaging flow cytometry (IFC) using the FlowSight® instrument. Our first step was to investigate specific instrument settings using protein particle samples spiked with silicone oil for particle classification. Based on these findings, we established suitable, harmonized working templates. Next, we evaluated the instrument’s accuracy and precision for particle sizes within the range of 0.5 to 100 µm and their respective concentrations. Finally, we investigated any constraints in particle concentration within this size range. Results: This study demonstrates that IFC can effectively distinguish protein particles from silicone oil droplets when the latter is labeled with a specific fluorescent dye. Our findings suggest that fluorescently labeled particles ≥ 0.5 µm can be reliably detected. Through our research, we determined the particle concentration limits for each particle size in the range of 0.5 to 10 µm, with a precision deviation of less than 15%. However, our study also revealed that IFC exhibited insufficient accuracy for the tested particle concentrations within this size range. Additionally, we showed that the measurements were significantly influenced by the instrument settings. Conclusion: Although we addressed numerous new aspects to enhance the experimental procedure of IFC measurements, we conclude that IFC is not an ideal technique for quantifying sub-visible particles. Instead, it should be employed to provide supportive characterization data in conjunction with commonly used sub-visible particle detection methods. If distinguishing between protein particles and silicone oil droplets is essential, IFC is an option, as long as the fluorescent dye is carefully selected. [ABSTRACT FROM AUTHOR]

A 42-year climate data record of global sea surface temperature (SST) covering 1980 to 2021 has been produced from satellite observations, with a high degree of independence from in situ measurements. Observations from twenty infrared and two microwave radiometers are used, and are adjusted for their differing times of day of measurement to avoid aliasing and ensure observational stability. A total of 1.5 × 1013 locations are processed, yielding 1.4 × 1012 SST observations deemed to be suitable for climate applications. The corresponding observation density varies from less than 1 km−2 yr−1 in 1980 to over 100 km−2 yr−1 after 2007. Data are provided at their native resolution, averaged on a global 0.05° latitude-longitude grid (single-sensor with gaps), and as a daily, merged, gap-free, SST analysis at 0.05°. The data include the satellite-based SSTs, the corresponding time-and-depth standardised estimates, their standard uncertainty and quality flags. Accuracy, spatial coverage and length of record are all improved relative to a previous version, and the timeseries is routinely extended in time using consistent methods. [ABSTRACT FROM AUTHOR]

COVID-19 catalyzed a renewed focus on the interconnected nature of human health. Together with the climate crisis, it highlighted not only intra-human connections but the entanglement of human health with the health of non-human animals, plants, and ecological systems more broadly. In this article, we challenge the persistent notion that humans are ontologically distinct from the rest of nature and the ethics that flow from this understanding. Imposing this privileged view of humans has devastating consequences for beings other than humans and for humans and impedes effective responses to crises. We situate the COVID-19 pandemic within the "polycrisis," and argue that one component of addressing multidimensional crises must involve fully embracing a relational ontology and ethics. We discuss two approaches to relationality, one articulated by ecofeminists and the second inhering in an Indigenous Māori worldview. Two dominant approaches, One Health and Planetary Health, purport to take account of relational ontologies in their approaches to health, but, we argue, persist in casting the more-than-human world in an instrumental role to secure human health. We suggest that Multispecies Justice, which draws on ecofeminist and Indigenous approaches, affords a fully relational approach to health and well-being. We explore the implications of relationality, and suggest fresh ways of understanding humans' connections with the more-than-human world. [ABSTRACT FROM AUTHOR]

Subvisible particles (SVPs) are a critical quality attribute of injectable therapeutic proteins (TPs) that needs to be controlled due to potential risks associated with drug product quality. The current compendial methods routinely used to analyze SVPs for lot release provide information on particle size and count. However, chemical identification of individual particles is also important to address root-cause analysis. Herein, we introduce Morphologically-Directed Raman Spectroscopy (MDRS) for SVP characterization of TPs. The following particles were used for method development: (1) polystyrene microspheres, a traditional standard used in industry; (2) photolithographic (SU-8); and (3) ethylene tetrafluoroethylene (ETFE) particles, candidate reference materials developed by NIST. In our study, MDRS rendered high-resolution images for the ETFE particles (> 90%) ranging from 19 to 100 μm in size, covering most of SVP range, and generated comparable morphology data to flow imaging microscopy. Our method was applied to characterize particles formed in stressed TPs and was able to chemically identify individual particles using Raman spectroscopy. MDRS was able to compare morphology and transparency properties of proteinaceous particles with reference materials. The data suggests MDRS may complement the current TPs SVP analysis system and product quality characterization workflow throughout development and commercial lifecycle. [ABSTRACT FROM AUTHOR]

Quantitative studies analysing individual differences in environmental concern (i.e., apprehension about the quality of nature and natural resources including air, water, soil and animal and plant species) have consistently found differences between men and women, whereby women are more likely to display pro-environmental attitudes, although the underlying reasons remain largely unclear. Understanding the gender gap in environmental concern is crucial for designing and targeting environmental policies and for developing environmental education programmes. This paper examines five prominent theories that address the gender gap: Socialisation theory, Economic Salience theory, Parenthood Status theory, the Class-Gender effect and Ecofeminism. Ecofeminism constitutes a theoretical perspective which, despite offering a joint analysis of feminism and environmentalism, has rarely been employed in applied research regarding the gender gap in environmental concern. Using hierarachical regression techniques and data from the World Values Survey (N = 51,763) across 45 countries, this study finds that attitudes of gender equality are positively correlated with environmental concern. The present study supports ecofeminist theory by highlighting the positive role played by gender egalitarian attitudes in environmental concern. This research is the first of its kind to study the influence of gender egalitarian attitudes on environmental concern with such a large representative sample of countries, using hierarchical models to evaluate the effect of contextual factors. [ABSTRACT FROM AUTHOR]

Although outdoor recreation significantly contributes to subjective well-being (SWB), existing studies suggest that African Americans are far less likely to participate in outdoor recreation compared to other racial and ethnic groups in the United States. This study examined African Americans' leisure involvement in outdoor recreation and its impact on leisure satisfaction and the affective components of SWB. The results showed that the Attraction and Identity Expression dimensions of leisure involvement not only positively affected leisure satisfaction but also indirectly contributed to SWB through leisure satisfaction. Moreover, Identity Affirmation had a significant direct effect on SWB. However, Centrality and Social Bonding had no significant association with leisure satisfaction and SWB. These findings revealed that pleasure and enjoyment derived from outdoor recreation, as well as opportunities to express one's identity to the self and others, were particularly important for African American outdoor recreationists' leisure satisfaction and SWB. Overall, the study findings are consistent with existing well-being and leisure literature. [ABSTRACT FROM AUTHOR]

Objectives: This study aimed to explore the joint effect of body mass index (BMI) and serum lipids levels on incident dementia. Methods: We prospectively followed up with 1,627 dementia-free community residents aged ≥60 for 5.7 years on average. At baseline, weight, and height were measured, and total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) were detected in serum. Demographic characteristics were collected through questionnaires. Dementia was based on consensus diagnosis of neurologists and neuropsychologists using DSM-IV criteria. Additive Cox proportional model was used to assess the exposure-response relationship between BMI and serum lipid levels and dementia risk. Interactions and further classifications of BMI and serum lipid levels were further presented by bivariate surface models and decision-tree models. Results: The joint effects of TC with BMI, TG with BMI, and LDL-C with BMI on the risk of incident dementia shared a similar pattern, different from their independent exposure-response curves. The joint effect of HDL-C with BMI showed an S-surface but without statistical significance. Participants with TC<5.4 mmol/L and BMI<21 kg/m2 (Hazard Ratio(HR) 1.93, 95% Confidence Interval (CI) 1.05-3.53), TC<5.4 mmol/L and BMI≥21 kg/m2 (HR 1.73, 95% CI 1.09-2.72), and TC≥5.4 mmol/L and BMI<21 kg/m2 (HR 4.02, 95% CI 2.10-7.71) were identified to have the increased risk of incident dementia compared to those with TC≥5.4 mmol/L and BMI≥21 kg/ m2. Participants with TG<1.7 mmol/L and BMI<21 kg/m2 had an increased risk of incident dementia compared to those with TG≥1.7 mmol/L and BMI≥21 kg/m2 (HR 1.98, 95%CI 1.17-3.3). Participants with LDL-C≥3.3 mmol/L and BMI<21 kg/m2 were identified to have an increased risk of incident dementia compared to those with LDL-C≥3.3 mmol/L and BMI≥21 kg/m2 (HR 3.33, 95%CI 1.64-6.78). Conclusions: Our study showed that low BMI combined with low or high levels of serum lipids may increase the risk of dementia among older adults. This finding suggests the potential impacts of these two metabolic indexes on the risk of dementia. [ABSTRACT FROM AUTHOR]

Immunoglobulin replacement therapy is a life-saving treatment in patients with immunodeficiency and effective in the management of autoimmune disorders. Immunoglobulins are administered intravenously or subcutaneously, with the latter route reducing systemic reactions and providing an option for self-infusion, increasing patient convenience, while decreasing patient burden, healthcare utilization, and costs. A major limitation with subcutaneous administrations is the frequency of infusion due to limited volumes administrable into subcutaneous space, necessitating increased drug concentration, absorption, and dispersion. Increasing the concentration of immunoglobulins from 10 to 20% halves the required volume, but leads to higher dynamic viscosity, limiting infusion rate. Recombinant human hyaluronidase increases dispersion and absorption of immunoglobulins allowing administration of ≤ 600 mL per site, but does not change viscosity. Since the viscosity of fluids depends on temperature, we tested the feasibility of in-line warming of immunoglobulin formulations to physiological temperatures. In vitro analysis showed no negative impact of in-line warming to 38 °C on product quality. Subcutaneous infusion studies in pigs confirmed the feasibility of infusion rates of up to 7.5 mL/min with in-line warmed TAK-881, an immunoglobulin 20% facilitated with recombinant human hyaluronidase. In-line pressures were reduced compared with conventional immunoglobulin 20%, and local tolerance was not altered. Reduction of in-line pressures was more pronounced with thinner needle sets, indicating a potential benefit for patients. In summary, an in in-line warming device can circumvent the limitation of high viscosity, while product quality and local tolerance are maintained. The results of the presented studies warrant further testing in a phase 1 clinical study. [ABSTRACT FROM AUTHOR]

Objective: To determine the effectiveness of structural-level environmental interventions on the changes in PA levels in the populations examined. Methods: Natural experiments that involve environmental intervention with structural modification were included. The primary outcome PA levels with consideration of both objective and subjective measurements. An electronic search was carried out in Medline/Pubmed, SCIENCE DIRECT, WEB OF SCIENCE, and CINAHL up to January 2022. Two reviewers screened titles and abstracts, selected studies, extracted relevant data, and examined study quality. A qualitative synthesis was performed. Results: Twenty-six articles were included. The structural-level environmental interventions included 4 fundamental areas: schools, work environments, streets or cities, and neighborhoods or parks. Of the 26 studies, 21 examined outdoor environments like parks, cities, pedestrian walkways, or steps, while 5 examined indoor or closed environments like schools and workplaces revealing that structural-level environmental interventions improve PA levels with the greatest effect in parks and active transportation. A risk of bias is inherent in natural experiments which is a limitation of this study. In schools and work areas, there is evidence of both decrease in sedentary time and an increase in PA related to environmental modifications. Conclusion: Structural-level environmental modifications in parks and active transportation demonstrated greater effects in promoting PA. Environmental modifications can impact physical activity in the population. Given that the economic and cultural setting is a key variable when considering the effectiveness of structural interventions, and since only 1 of the 26 reviewed articles included such data, more studies examining economic factors are needed especially in low- and middle-income countries like in South America. Trial registration: PROSPERO CRD42021229718. [ABSTRACT FROM AUTHOR]

Background: The laparoscopic approach for colon cancer has become widely accepted. However, its safety for T4 tumors, and particularly for T4b tumors when local invasion to adjacent structures occurs, remains controversial. This study aimed to compare short and long-term outcomes in patients undergoing laparoscopic vs. open resection for T4a and T4b colon cancers. Methods: A prospectively maintained, single-institution database was queried to identify patients with pathological stage T4a and T4b colon adenocarcinomas electively operated on between 2000 and 2012. Patients were divided into two groups based on the use of laparoscopy. Patient characteristics, perioperative, and oncologic outcomes were compared. Results: One hundred and nineteen patients [41 laparoscopic (L), 78 open surgeries (O)] met the inclusion criteria. No difference was observed in age, gender, BMI, ASA, and procedure between groups. Tumors treated by L were smaller than O (p = 0.003). No difference was observed in morbidity, mortality, reoperation, or readmission between the groups. Length of hospital stay was shorter in L than O (6 vs. 9 days, p = 0.005). Conversion to open was necessary in 22% of all T4 tumors laparoscopic cases. However, when tumors were subdivided by pT4 classification, conversion was necessary for 4 of 34 (12%) pT4a patients vs. 5 of 7 (71%) pT4b patients (p = 0.003). In the pT4b cohort (n = 37), more tumors were treated by the open approach (30 vs. 7). For pT4b tumors, the R0 resection rate was 94% (86% in L vs. 97% in O, p = 0.249). The use of laparoscopy did not impact overall survival, disease-free survival, cancer-specific survival, or tumor recurrence overall in all T4 or T4a and T4b tumors. Conclusions: Laparoscopic surgery can be safely performed in pT4 tumors with similar oncologic outcomes as compared to open surgery. However, for pT4b tumors, the conversion rate is very high. The open approach may be preferable. [ABSTRACT FROM AUTHOR]

A paucity of information is available concerning the use of levodopa and carbidopa during pregnancy. Particularly lacking is whether these agents cross the placenta and whether levodopa undergoes metabolism in the fetus. The present study carried out in aborted fetal tissues demonstrates that levodopa crosses the placental barrier and suggests that it may be metabolized in fetal tissues, including the brain and spinal cord. The possibility exists that early exposure to levodopa or dopamine may alter the normal neuronal development in the fetus, and caution in the use of levodopa during pregnancy should be observed. [ABSTRACT FROM AUTHOR]

Adult male rats were fed a diet containing 0.15% calcium, 0.3% phosphorus, and either 100, 50, or 20 mg of prednisolone per kg of diet. All these levels of prednisolone led to osteopenia, decreased intestinal absorption of calcium, slightly lower serum calcium and phosphorus, and a decreased level of serum 1,25-dihydroxyvitamin D. Exogenous parenteral 1,25-dihydroxyvitamin D corrected steroid-induced changes in serum calcium and phosphorus, but could not completely correct the low intestinal calcium transport; nor did it prevent the development of osteopenia. The prednisolone-induced osteopenia seems at least in part to be caused by impaired intestinal calcium transport. The impaired calcium transport may be the result of low levels of 1,25-dihydroxyvitamin D and a direct effect of presnisolone on the intestine. [ABSTRACT FROM AUTHOR]

The identification of factors that may be forcing ecological observations to approach the upper boundary provides insight into potential mechanisms affecting driver-response relationships, and can help inform ecosystem management, but has rarely been explored. In this study, we propose a novel framework integrating quantile regression with interpretable machine learning. In the first stage of the framework, we estimate the upper boundary of a driver-response relationship using quantile regression. Next, we calculate "potentials" of the response variable depending on the driver, which are defined as vertical distances from the estimated upper boundary of the relationship to observations in the driver-response variable scatter plot. Finally, we identify key factors impacting the potential using a machine learning model. We illustrate the necessary steps to implement the framework using the total phosphorus (TP)-Chlorophyll a (CHL) relationship in lakes across the continental US. We found that the nitrogen to phosphorus ratio (N:P), annual average precipitation, total nitrogen (TN), and summer average air temperature were key factors impacting the potential of CHL depending on TP. We further revealed important implications of our findings for lake eutrophication management. The important role of N:P and TN on the potential highlights the co-limitation of phosphorus and nitrogen and indicates the need for dual nutrient criteria. Future wetter and/or warmer climate scenarios can decrease the potential which may reduce the efficacy of lake eutrophication management. The novel framework advances the application of quantile regression to identify factors driving observations to approach the upper boundary of driver-response relationships. [ABSTRACT FROM AUTHOR]

Quantification of subvisible particles, which are generally defined as those ranging in size from 2 to 100 µm, is important as critical characteristics for biopharmaceutical formulation development. Micro Flow Imaging (MFI) provides quantifiable morphological parameters to study both the size and type of subvisible particles, including proteinaceous particles as well as non-proteinaceous features incl. silicone oil droplets, air bubble droplets, etc., thus enabling quantitative and categorical particle attribute reporting for quality control. However, limitations in routine MFI image analysis can hinder accurate subvisible particle classification. In this work, we custom-built a subvisible particle-aware Convolutional Neural Network, SVNet, which has a very small computational footprint, and achieves comparable performance to prior state-of-art image classification models. SVNet significantly improves upon current standard operating procedures for subvisible particulate assessments as confirmed by thorough real-world validation studies. [ABSTRACT FROM AUTHOR]

Accurately building the relationship between the oceanographic environment and the distribution of neon flying squid (Ommastrephes bartramii) is very important to understand the potential habitat pattern of O. bartramii. However, when building the prediction model of O. bartramii with traditional oceanographic variables (e.g., chlorophyll a concentration (Chl a) and sea surface temperature (SST)) from space-borne observations, part of the important spectrum characteristics of the oceanic surface could be masked by using the satellite data products directly. In this study, the neglected remote sensing information (i.e., spectral remote sensing reflectance (Rrs) and brightness temperature (BT)) is firstly incorporated to build the prediction model of catch per unit effort (CPUE) of O. bartramii from July to December during 2014–2018 in the Northwest Pacific Ocean. Results show that both the conventional oceanographic variables and the neglected remote sensing data are suitable for building the prediction model, whereas the overall root mean square error (RMSE) of the predicted CPUE of O. bartramii with the former is typically less accurate than that with the latter. Hence, the Rrs and BT could be a more suitable data source than the Chl a and SST to predict the distribution of O. bartramii, highlighting that the potential value of the neglected variables in understanding the habitat suitability of O. bartramii. [ABSTRACT FROM AUTHOR]

This study focuses on the strengthening of the maritime influence on the Balkan Peninsula in summer. The study uses mainly statistical methods such as trend analysis, multiple linear regression models, etc. The research period is 1979–2020. The results show that in the beginning of the twenty-first century in southeastern Europe there is a tendency of faster increase in the average August air temperatures compared to the increase in average July air temperatures. Thus, the temperature in August is already higher than that in July. The causes for these changes are changes in atmospheric circulation in summer. Over the last two decades, the transport of air masses from east and southeast has been strengthening, which for the Balkan Peninsula means a transport from water basins toward land. The intra-annual course of air temperature above a water basin, which has a maximum in August, is now becoming typical over land. This feature is not yet present in the entire studied region, but the trends from the measurements in meteorological stations show that very soon the temperatures in August could be higher than that in July over the entire territory of the Balkan Peninsula. On a more global scale, it is still unclear which mechanisms of atmospheric circulation influence the processes in southeastern Europe. Changes in ocean temperatures and atmospheric circulation in the North Atlantic are likely to have an impact. However, other factors (e.g. the increase in global temperatures, the expansion of Hadley cell) may also have an impact. [ABSTRACT FROM AUTHOR]

Purpose: During biopharmaceutical drug manufacturing, storage, and distribution, proteins in both liquid and solid dosage forms go through various processes that could lead to protein aggregation. The extent of aggregation in the sub-micron range can be measured by analyzing a liquid or post-reconstituted powder sample using Micro-Flow Imaging (MFI) technique. MFI is widely used in biopharmaceutical industries due to its high sensitivity in detecting and analyzing particle size distribution. However, the MFI's sensitivity to various factors makes accurate measurement challenging. Therefore, in light of the inherent variability of the method, this work aims to explore the capabilities of an adopted coupled sensitivity analysis and machine learning algorithm to quantify the influencing factors on the formed sub-visible particles and method variability. Methods: The proposed algorithm consists of two interconnected components, namely a surrogate model with a neural network and a sensitivity analyzer. A machine learning tool based on artificial neural networks (ANN) is constructed with MFI data. The best fit with an optimized configuration is found. Sensitivity and uncertainty analysis is performed using this network as the surrogate model to understand the impacts of input parameters on MFI data. Results: Results reveal the most impactful reconstitution preparation factors and others that are masked by the instrument variabilities. It is shown that instrument inaccuracy is a function of size category, with higher variabilities associated with larger size ranges. Conclusion: Utilizing this tool while assessing the sensitivity of outputs to various parameters, measurement variabilities for analytical characterization tests can be quantified. [ABSTRACT FROM AUTHOR]

Bioeconomy as a new promissory discourse neither challenges the paradigm of economic growth, nor questions its embeddedness in capitalist (neo-)colonial patriarchal power relations. However, the calls for a 'genuine' socio-ecological transformation and for alternative bioeconomy visions imply exactly a destabilization of these power relations. Drawing on the Bielefeld subsistence approach and on its colonialism–capitalism–patriarchy nexus, I argue that the latest bioeconomy strategy and policy papers of both the EU and Estonia each disregard certain spheres of the bioeconomy due to the three-dimensional power relations. As a seemingly neutral political discourse, the bioeconomy is shaped by cultural assumptions and narratives that determine and perpetuate what is deemed worthy of protection and what is pushed aside as merely 'natural'. As such, the current bioeconomy papers promote a 'biomass-based model of capital accumulation' that is essentially built on the prerequisite of the subordination, devaluation, appropriation and/or exploitation of (1) different geographical regions, (2) ecological foundations, and (3) prevalent bioeconomy practices. As a widespread agricultural practice in Eastern Europe, Food Self-Provisioning (FSP) serves as a good example of how predominant bioeconomy models (1) simply operate as new forms of postcolonial development discourse, instead of embracing the plurality of decolonial 'alternatives to development'; (2) deepen the human–nature dichotomy by regarding nature as a mere resource to be extracted more efficiently instead of cultivating mutually nourishing partnership-like relation(ship)s with nature; and (3) maintain the separation between monetized and maintenance economies, rather than fostering ethics of care to overcome the structural separation between the latter. [ABSTRACT FROM AUTHOR]

The bioeconomy, a recent addition to the political project of ecological modernization, is largely premised on the widespread use of biomass. Biomass is presented by bioeconomy proponents as renewable and, therefore, sustainable. However, a large body of academic and non-academic literature questions this sustainability, citing the negative socio-ecological aspects of biomass use. Given this contradiction, we ask how the key institutions of the innovation system (government, science, and industry), construct and uphold the image of sustainability of biomass use in the bioeconomy. Through an analysis based on ideology critique, we look at the broad field of biomass policy in Germany, including official bioeconomy strategies and biomass potential calculations, expert portrayals of biomass use in the bioeconomy-themed Year of Science, and an iconic biomass-based commodity. We identify four central ideological strategies that uphold the image of sustainability and contribute to creating political consent for the political project of the German bioeconomy: seeking managerial solutions, relying on technological innovation, relegating solutions into the future, and obscuring the materiality of nature. We discuss how these strategies are upheld by the wider discourse and institutions of ecological modernization and argue that particular attention should be given to the biophysical materiality of living nature in this context. The materiality of nature represents both an obstacle to the ideological strategies identified, and a starting point for envisioning alternative society–nature relations. [ABSTRACT FROM AUTHOR]

A scientific model's usefulness relies on its ability to explain phenomena, predict how such phenomena will be impacted by future interventions, and prescribe actions to achieve desired outcomes. We study methods for learning causal models that explain the behaviors of simulated "human" populations. Through the Ground Truth project, we solved a series of Challenges where our explanations, predictions and prescriptions were scored against ground truth information. We describe the processes that emerged for applying causal discovery, network analysis, agent-based modeling and other analytical methods to inform solutions to Challenge tasks. We present our team's overall performance results on these Challenges and discuss implications for future efforts to validate social scientific research using simulation-based challenges. [ABSTRACT FROM AUTHOR]

The ground truth program used simulations as test beds for social science research methods. The simulations had known ground truth and were capable of producing large amounts of data. This allowed research teams to run experiments and ask questions of these simulations similar to social scientists studying real-world systems, and enabled robust evaluation of their causal inference, prediction, and prescription capabilities. We tested three hypotheses about research effectiveness using data from the ground truth program, specifically looking at the influence of complexity, causal understanding, and data collection on performance. We found some evidence that system complexity and causal understanding influenced research performance, but no evidence that data availability contributed. The ground truth program may be the first robust coupling of simulation test beds with an experimental framework capable of teasing out factors that determine the success of social science research. [ABSTRACT FROM AUTHOR]

SCAMP (Social Causality using Agents with Multiple Perspectives) is one of four social simulators that generated socially realistic data for the Ground Truth program. Unlike the other three simulators, it is based on a computational principle, stigmergy, inspired by social insects. Using this approach, we modeled conflict in a nation-state inspired by the ongoing scenario in Syria. This paper summarizes stigmergy and describes the Conflict World we built in SCAMP. [ABSTRACT FROM AUTHOR]

Social systems are uniquely complex and difficult to study, but understanding them is vital to solving the world's problems. The Ground Truth program developed a new way of testing the research methods that attempt to understand and leverage the Human Domain and its associated complexities. The program developed simulations of social systems as virtual world test beds. Not only were these simulations able to produce data on future states of the system under various circumstances and scenarios, but their causal ground truth was also explicitly known. Research teams studied these virtual worlds, facilitating deep validation of causal inference, prediction, and prescription methods. The Ground Truth program model provides a way to test and validate research methods to an extent previously impossible, and to study the intricacies and interactions of different components of research. [ABSTRACT FROM AUTHOR]

A variety of physical, chemical, and biological processes within the lakes relies on the surface water temperature while the spatial pattern of large lakes of different warming trends and their connections with climate change remain unclear. Using correlation analysis, regression tree analysis (RTA), and general linear models (GLMs), we have estimated the warming trends of 192 lakes since 2000 in the populated Yangtze River Basin, China, to identify dominant climate drivers and quantify their contributions. The results show that surface water temperature has increased substantially in the majority of the investigated lakes (179 from a total of 192 lakes) at a rate of 0.29 (− 0.12 to 0.62) °C/decade (median and 95% confidence interval). The shallower lakes (< 13.1 m in depth) usually have the faster median warming rates than the deeper lakes (i.e., 0.37 °C/decade versus 0.16 °C/decade). We find that in the shallow lakes, rising air temperatures and declining wind speeds can explain the majority of variation in surface water temperature (i.e., 31.4‒80.3% and 13.0‒21.0%, respectively). In contrast, in deeper lakes, change of air temperatures plays a dominant role in water warming (75.4‒91.2%). This study has emphasized the importance of declining wind speed in water warming in large and shallow lakes and illustrated a difference of dominant climatic drivers in water warming between the shallow and deep lakes. [ABSTRACT FROM AUTHOR]

The ocean analysis is crucial for monitoring and predicting the ocean and also provides an initial condition to coupled atmosphere–ocean model. Due to the lack of in-situ observations, the satellite with high spatial and temporal coverage plays a vital role in improving the data coverage as well as improving global ocean analysis. In this study, the global Nucleus European Modelling of the Ocean (NEMO)-based three-dimensional variational assimilation system called NEMOVAR is used to understand the impact of satellite-derived sea surface temperature (SST) data assimilation in the Tropical Indian Ocean (TIO). Two different experiments, such as no assimilation of satellite-derived SST called CNTR and assimilation of satellite-derived SST called EXPSST, were carried out during the winter and summer monsoon. The SST increment is much smooth for the CNTR experiment as compared to the EXPSST experiment. The comparison of daily SST from both experiments with the Research Moored Array for African–Asian–Australian Monsoon Analysis and Prediction (RAMA) buoy observations clearly showed less RMSE and high correlation in the EXPSST experiment in the western part of the southern Indian Ocean and Arabian Sea (AS) regions during the winter monsoon. Further, the EXPSST experiment is cooler than the CNTR experiment in the Bay of Bengal (BoB) and southern Indian Ocean (10°–20° S) regions for winter monsoon and AS, BoB and Equatorial Indian Ocean (EIO) regions for summer monsoon. Due to this, the EXPSST experiment lost the net heat flux (NHF) much less than the CNTR experiment. The impact of satellite-derived SST observations on the variational assimilation system through the air–sea interaction is relatively larger during summer monsoon as compared to winter monsoon. Further, it is also suggested that the impact is relatively higher in the BoB region compared to the northern AS and EIO regions extending up to 40–60 m depth during both monsoon seasons. [ABSTRACT FROM AUTHOR]

The systematic manipulation of components of multimodal particle solutions is a key for the design of modern industrial products and pharmaceuticals with highly customized properties. In order to optimize innovative particle separation devices on microfluidic scales, a particle size recognition with simultaneous volumetric position determination is essential. In the present study, the astigmatism particle tracking velocimetry is extended by a deterministic algorithm and a deep neural network (DNN) to include size classification of particles of multimodal size distribution. Without any adaptation of the existing measurement setup, a reliable classification of bimodal particle solutions in the size range of 1.14 μ m – 5.03 μ m is demonstrated with a precision of up to 99.9 %. Concurrently, the high detection rate of the particles, suspended in a laminar fluid flow, is quantified by a recall of 99.0 %. By extracting particle images from the experimentally acquired images and placing them on a synthetic background, semi-synthetic images with consistent ground truth are generated. These contain labeled overlapping particle images that are correctly detected and classified by the DNN. The study is complemented by employing the presented algorithms for simultaneous size recognition of up to four particle species with a particle diameter in between 1.14 μ m and 5.03 μ m . With the very high precision of up to 99.3 % at a recall of 94.8 %, the applicability to classify multimodal particle mixtures even in dense solutions is confirmed. The present contribution thus paves the way for quantitative evaluation of microfluidic separation and mixing processes. [ABSTRACT FROM AUTHOR]

A kinetic model for the ignition and combustion of mixtures of propane and n-butane in air has been developed. The model contains 348 reactions involving 72 species and includes both high and low-temperature mechanisms of oxidation of propane and n-butane. The kinetic model was tested against experimental data on the ignition delay time and laminar flame speed. The model provides a good fit to experimental data on propane ignition and the laminar flame speed in propane–air mixtures, the ignition of n-butane under different initial conditions ( K, atm, ), the laminar flame speed in mixtures of n-butane with air at K, atm and different stoichiometric ratios (), and the ignition of stoichiometric C3H8/C4H10/N2/Ar mixtures with different ratios of C3H8/C4H10 at K and atm. The developed kinetic mechanism was used to perform a demonstration numerical simulation of the combustion of propane–butane fuel in a homogeneous combustor. [ABSTRACT FROM AUTHOR]

A consistent dataset of lake surface water temperature, ice cover, water-leaving reflectance, water level and extent is presented. The collection constitutes the Lakes Essential Climate Variable (ECV) for inland waters. The data span combined satellite observations from 1992 to 2020 inclusive and quantifies over 2000 relatively large lakes, which represent a small fraction of the number of lakes worldwide but a significant fraction of global freshwater surface. Visible and near-infrared optical imagery, thermal imagery and microwave radar data from satellites have been exploited. All observations are provided in a common grid at 1/120° latitude-longitude resolution, jointly in daily files. The data/algorithms have been validated against in situ measurements where possible. Consistency analysis between the variables has guided the development of the joint dataset. It is the most complete collection of consistent satellite observations of the Lakes ECV currently available. Lakes are of significant interest to scientific disciplines such as hydrology, limnology, climatology, biogeochemistry and geodesy. They are a vital resource for freshwater supply, and key sentinels for global environmental change. Measurement(s) Lake surface water temperature, lake water extent and level, lake ice cover, lake water leaving reflectance Technology Type(s) Radar altimeters, radiometers, spectrometers, and multispectral scanner systems Sample Characteristic - Organism Inland water Sample Characteristic - Environment Satellite imaging Sample Characteristic - Location Earth global [ABSTRACT FROM AUTHOR]

Aquaponics, a combination of aquaculture and hydroponics, is a potential solution for the consequences of global warming and eventual food meagreness. Aquaponics is known to be an efficient method to deal with the wastewater problem associated with aquaculture and nutrient management issues in the hydroponic discipline. However, optimizing the process condition for aquaponics is frequently ambiguous and is often not economically feasible. Farmers face many constraints in maintaining the process. The main reason for this could be the limited scientific knowledge of various aspects of aquaponics. Through this review, we would like to put a limelight on various critical concerns that could be problematic to beginners in aquaponic farming. These could be from choosing the appropriate design of the system to thriving plants free of diseases. Henceforth, we identified research opportunities that have the potential to fill scientific gaps in this field. Our findings suggest that aquaponics could emerge as the future of agriculture if the discussed challenges are addressed appropriately. [ABSTRACT FROM AUTHOR]

The common bean is an important staple food in Colombia with diverse nutritional content and environmental benefits. The most important climatic risk confronted by common bean production in Colombia is El Niño Southern Oscillation (ENSO) since its two extreme phases —El Niño and La Niña— increase the intensity and variety of abiotic and biotic stresses in the region. Using information from the Food and Agricultural Organization (FAO) for the period 1991–2018, we test whether pre-2030 ENSO has had a negative impact on common bean production in Colombia using a Prais–Winsten regression model. We find that common beans' yields have been negatively affected by El Niño, but not by La Niña. Moreover, short-run ENSO-induced deviations in the growth rate of precipitation with respect to its long-run value reduce yields and increase farmers' income from common bean production. These results have two important implications. From a modelling standpoint, we find that precipitation has a non-linear relationship with yields and incomes, implying that second-order effects should be incorporated in any analysis of the effects of climatic variables on agricultural production. From a policy perspective, our results suggest a need for countercyclical polices to counteract price spikes of common beans in the Colombian market since, when they occur, they tend to over-compensate the reduction in yields, which reduce common bean consumers' purchasing power and food security. [ABSTRACT FROM AUTHOR]

Satellite data from the Climate Change Initiative (CCI) lakes project were used to examine the influence of climate on chlorophyll-a (Chl-a). Nonparametric multiplicative regression and machine learning were used to explain Chl-a concentration trend and dynamics. The main parameters of importance were seasonality, interannual variation, lake level, water temperature, the North Atlantic Oscillation, and antecedent rainfall. No evidence was found for an earlier onset of the summer phytoplankton bloom related to the earlier onset of warmer temperatures. Instead, a curvilinear relationship between Chl-a and the temperature length of season above 20°C (LOS) was found with longer periods of warmer temperature leading to blooms of shorter duration. We suggest that a longer period of warmer temperatures in the summer may result in earlier uptake of nutrients or increased calcite precipitation resulting in a shortening of the duration of phytoplankton blooms. The current scenario of increasing LOS of temperature with climate change may lead to an alteration of phytoplankton phenological cycles resulting in blooms of shorter duration in lakes where nutrients become limiting. Satellite-derived information on lake temperature and Chl-a concentration proved essential in detecting trends at appropriate resolution over time. [ABSTRACT FROM AUTHOR]

Previous literature recommends using stylistic (or rhetorical) devices in presentations such as rhetorical questions (RQs: Does anyone want bad teeth?) to make them more professional, to appear more charismatic, and to convince an audience. However, in oral presentations, it is not only the what that matters in using stylistic devices like RQs, but also the how, i.e., the RQs' prosodic realization. To date, however, virtually no handbook on the way of giving a good presentation scrutinizes this prosodic how. Therefore, our investigation focuses on the prosodic realization of German RQs in sales pitches. Specifically, we carry out a perception experiment in which 72 listeners rated both the sales pitch and its speaker based on presentations that contained questions that were lexically biased towards a rhetorical interpretation. They were realized with either the prosody of RQs or information-seeking questions (ISQs: What time is it?). An additional baseline condition was constituted by regular declarative statements with the corresponding prosody. More precisely, we investigate whether particular identified prosodic realizations—previously found for German RQs and ISQs—meet the listeners' expectation in the context of a presentation situation. We found that listeners prefer lexically marked RQs that are produced with a prosody that is characteristic of German ISQs. We therefore suggest that handbooks should provide their readers not only with clear definitions of RQs as a stylistic device in presentations (i.e., the what), but also with the respective prosodic realization (i.e., the how) to make them a properly implemented stylistic device. [ABSTRACT FROM AUTHOR]

How lake temperatures across large geographic regions are responding to widespread alterations in ice phenology (i.e., the timing of seasonal ice formation and loss) remains unclear. Here, we analyse satellite data and global-scale simulations to investigate the contribution of long-term variations in the seasonality of lake ice to surface water temperature trends across the Northern Hemisphere. Our analysis suggests a widespread excess lake surface warming during the months of ice-off which is, on average, 1.4 times that calculated during the open-water season. This excess warming is influenced predominantly by an 8-day advancement in the average timing of ice break-up from 1979 to 2020. Until the permanent loss of lake ice in the future, excess lake warming may be further amplified due to projected future alterations in lake ice phenology. Excess lake warming will likely alter within-lake physical and biogeochemical processes with numerous implications for lake ecosystems. How lake temperatures are responding to widespread changes in lake ice remains unclear. Here the authors show the excess lake warming during the ice-off and ice-on month due to earlier ice loss and later ice formation across the Northern Hemisphere. [ABSTRACT FROM AUTHOR]

This article analyzes cultural persistence in Guam through plaiting, material culture, and maintenance activities, a set of daily practices that are essential to social continuity and well-being. The colonization of Guam began in 1668 with the Jesuit missions. Jesuit policies utilized maintenance activities to colonize Indigenous lifeways and subjectivities, but we believe those activities also functioned as reservoirs of traditional knowledge. Although plaiting has been situated in different historical contexts across the centuries, it no doubt expresses material continuities stretching from a precolonial past. The article also challenges today's widespread belief that the search for change is a universal value. It argues that societies appreciate continuity over change in inverse proportion to technological control over nature, asymmetrical relationships of power, and specialized fragmentation of functional tasks. In the absence of such features, the best guarantee of survival lies in maintaining the balance achieved by traditional lifeways. [ABSTRACT FROM AUTHOR]

This article explores the significance of Jineolojî, an emancipatory praxis elaborated by the Kurdish Women's Movement, for contemporary degrowth and pluriverse politics. Considering Jineolojî as the most original dimension of the Democratic Confederalist model of government in Northern and Eastern Syria (compared to other revolutionary projects), the article contributes to recent debates around the central place of "depatriarchization" in pluriverse debates. In the first part, we highlight a renewed interest in matriarchy, which has emerged at the intersection of ecofeminist with post-development and degrowth thought, noting how this resonates with the rediscovery of Mesopotamia's matristic culture, which has been key to Democratic Confederalism and its radical critique of capitalist modernity and the nation State. We also highlight the inherent contradictions of the matristic model and formulate the question whether, and under what conditions, it bears potential for emancipatory political ecologies. The second part briefly describes the article's sources and method, namely militant ethnography carried out with the Kurdish Women's Movement, both in Rojava and in the European diaspora, cross-referenced with an analysis of some key texts of Jineolojî. The third part investigates the process by which the matristic perspective is being currently performed in Rojava through Jineolojî: a pedagogy for women's self-defense, the autonomous re-appropriation of communalist and ecological praxis, and men's liberation from hegemonic masculinity. We conclude that Jineolojî does not configure as a model of society to be recovered from a pre-patriarchal age, but as an original tool for liberating social potential towards gender, decolonial and ecological revolutions. [ABSTRACT FROM AUTHOR]

Background: The efficacy of laparoscopic multivisceral resection (Lap-MVR) has been reported by several experienced high-volume centers. The Endoscopic Surgical Skill Qualification System (ESSQS) was established in Japan to improve the skill of laparoscopic surgeons and further develop surgical teams. We examined the safety and feasibility of Lap-MVR in general hospitals, and evaluated the effects of the Japanese ESSQS for this approach. Methods: We retrospectively reviewed 131 patients who underwent MVR between April 2016 and December 2019. Patients were divided into the laparoscopic surgery group (LAC group, n = 98) and the open surgery group (OPEN group, n = 33). The clinicopathological and surgical features were compared between the groups. Results: Compared with the OPEN group, BMI was significantly higher (21.9 vs 19.3 kg/m2, p = 0.012) and blood loss was lower (55 vs 380 ml, p < 0.001) in the LAC group. Operation time, postoperative complications, and postoperative hospital stay were similar between the groups. ESSQS-qualified surgeons tended to select the laparoscopic approach for MVR (p < 0.001). In the LAC group, ESSQS-qualified surgeons had superior results to those without ESSQS qualifications in terms of blood loss (63 vs 137 ml, p = 0.042) and higher R0 resection rate (0% vs 2.0%, p = 0.040), despite having more cases of locally advanced tumor. In addition, there were no conversions to open surgery among ESSQS-qualified surgeons, and three conversions among surgeons without ESSQS qualifications (0% vs 15.0%, p = 0.007). Multivariate analysis revealed blood loss (odds ratio 1.821; 95% CI 1.324–7.654; p = 0.010) as an independent predictor of postoperative complications. Laparoscopic approach was not a predictive factor. Conclusions: The present multicenter study confirmed the feasibility and safety of Lap-MVR even in general hospitals, and revealed superior results for ESSQS-qualified surgeons. [ABSTRACT FROM AUTHOR]

Background: The role of elective laparoscopic resection (LR) for the treatment of locally advanced colon cancer (LACC) is unclear. Most studies have retrospectively investigated the outcomes of LR for pT4 cancers, while clinical T4 (cT4) cancers are excluded in the large randomized controlled trials comparing LR and open resection (OR). The aim of this study was to investigate the outcomes in patients undergoing elective LR for LACC. Methods: A prospective single-institution database including consecutive patients undergoing elective LR for clinical LACC (high-risk T3 or T4 N0-2) between March 1996 and March 2017 was retrospectively reviewed. A multivariate analysis was performed to identify predictors of conversion to OR and risk factors for adverse oncologic outcomes. Results: A total of 300 patients undergoing LR for LACC were included. A multi-visceral resection was needed in 17 (5.7%) patients. A total of 63 (21%) LRs were converted to OR, mainly due to suspected adjacent organ invasion (82.5%) or obesity (9.5%). Overall postoperative Clavien-Dindo 3–4 complication rate was 4.7%, with no significant differences between completed and converted LRs. Final pathology showed 18 (6%) pT2, 215 (71.7%) pT3, 54 (18%) pT4a, and 13 (4.3%) pT4b cancers. A R0 resection was achieved in 98.3% of patients. On multivariate analysis, tumor size ≥ 7 cm and tumor site (splenic flexure) were the independent risk factors for conversion to OR. A pT4 colon cancer and LNR of 0.25 or greater, but not conversion to OR, were independently associated with both poorer OS and DFS. Conclusion(s): Clinical LACC should not be considered a contraindication to LR itself. Bulky tumors ≥ 7 cm and splenic flexure cancers are at higher risk of conversion to OR; however, there is no increased postoperative morbidity or adverse oncologic outcomes in converted patients. [ABSTRACT FROM AUTHOR]