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Digestate is a nutrient-rich by-product from organic waste anaerobic digestion but can contribute to nutrient pollution without comprehensive management strategies. Some nutrient pollution impacts include harmful algal blooms, hypoxia, and eutrophication. This contribution explores current productive uses of digestate by analyzing its feedstocks, processing technologies, economics, product quality, impurities, incentive policies, and regulations. The analyzed studies found that feedstock, processing technology, and process operating conditions highly influence the digestate product characteristics. Also, incentive policies and regulations for managing organic waste by anaerobic digestion and producing digestate as a valuable product promote economic benefits. However, there are not many governmental and industry-led quality assurance certification systems for supporting commercializing digestate products. The sustainable and safe use of digestate in different applications needs further development of technologies and processes. Also, incentives for digestate use, quality regulation, and social awareness are essential to promote digestate product commercialization as part of the organic waste circular economy paradigm. Therefore, future studies about circular business models and standardized international regulations for digestate products are needed.

Plastic growing demand and the increment in global plastics production have raised the number of spent plastics, out of which over 90% are either landfilled or incinerated. Both methods for handling spent plastics are susceptible to releasing toxic substances, damaging air, water, soil, organisms, and public health. Improvements to the existing infrastructure for plastics management are needed to limit chemical additive release and exposure resulting from the end-of-life (EoL) stage. This article analyzes the current plastic waste management infrastructure and identifies chemical additive releases through a material flow analysis. Additionally, we performed a facility-level generic scenario analysis of the current U.S. EoL stage of plastic additives to track and estimate their potential migration, releases, and occupational exposure. Potential scenarios were analyzed through sensitivity analysis to examine the merit of increasing recycling rates, using chemical recycling, and implementing additive extraction post-recycling. Our analyses identified that the current state of plastic EoL management possesses high mass flow intensity toward incineration and landfilling. Although maximizing the plastic recycling rate is a reasonably straightforward goal for enhancing material circularity, the conventional mechanical recycling method requires improvement because major chemical additive release and contamination routes act as obstacles to achieving high-quality plastics for future reuse and should be mitigated through chemical recycling and additive extraction. The potential hazards and risks identified in this research create an opportunity to design a safer closed-loop plastic recycling infrastructure to handle additives strategically and support sustainable materials management efforts to transform the US plastic economy from linear to circular.

The presence of polymer transfer residues on graphene surfaces is a major bottleneck to overcome for the commercial and industrial viability of devices incorporating graphene layers. In particular, how clean the surface must be to recover high (>2500 W/mK) thermal conductivity and maximize the heat spreading capability of graphene for thermal management applications remains unclear. Here, we present the first systematic study of the impact of different levels of polymer residues on the in-plane thermal conductivity (κr) of single-layer graphene (SLG) fabricated by chemical vapor deposition (CVD). Control over the quantity of surface residue was achieved by varying the length of time each sample was rinsed in toluene to remove the poly(methyl methacrylate) (PMMA) support layer. The level of residue contamination was assessed using atomic force microscopy (AFM) and optical characterization. The thermal conductivity of the suspended SLG was measured using an optothermal Raman technique. We observed that the presence of polymer surface residue has a significant impact on the thermal properties of SLG, with the most heavily contaminated sample exhibiting a κr as low as (905 +155/–100) W/mK. Even without complete eradication of surface residues, a thermal conductivity as high as (3100 +1400/–900) W/mK was recovered, where the separation between adjacent clusters was sufficiently large (>700 nm). The proportion of the SLG surface covered by residues and the mean separation distance between clusters were found to be key factors in determining the level of κr suppression. This work has important implications for future large-scale graphene fabrication and transfer, particularly where graphene is to be used as a heat spreading layer in devices. The possibility of new opportunities for manipulation of the thermal properties of SLG via PMMA nanopatterning is also raised.

Although microbial-mediated disturbance of intestinal mucosal homeostasis (dysbiosis) is believed to contribute to the pathogenesis of chemotherapy and radiotherapy (CRT)–related fatigue, potential differences in the gut microbial diversity and in the abundance of gut microbial taxa between fatigued and non-fatigued patients have not been adequately examined, particularly in the rectal cancer population. In this cross-sectional study, we aim to examine the differences in (a) gut microbial diversity and gut microbial abundances and (b) predicted functional pathways of the gut microbiome between rectal cancer participants with and without fatigue at the end of CRT. Rectal cancer patients (n = 50) provided stool samples for 16S rRNA gene sequencing and symptom ratings for fatigue at the end of CRT. Gut microbiome data were analyzed using QIIME2, LEfSe, and the R statistical package. Fatigued (n = 35) participants showed enriched bacterial abundances of Eubacterium, Streptococcus, Adlercreutzia, and Actinomyces, as well as enriched abundances of the microbial sucrose degradation pathway, compared to non-fatigued patients at the end of CRT (n = 15). Differentially abundant microbial taxa were identified in fatigued and non-fatigued rectal cancer participants at the end of CRT. However, the exact role of these taxa (and identification of species) in the biology of CRT-related fatigue remains to be examined.

Hexagonal boron nitride (h-BN) has been highlighted as a promising low-dimensional material for thermal management of next-generation devices. The theory predicts that the thermal conductivity of h-BN increases above the bulk value as the thickness is reduced, but previous reports on few-layer (5–11 layer) h-BN have shown the opposite trend. We investigated the effect of isotopic engineering on the thermal properties of 11-layer h-BN single-crystal flakes. The thermal conductivities of natural (22% 10B, 78% 11B) and monoisotopic (99% 10B) h-BN were determined by a modified optothermal Raman method in the range 300–400 K. At room temperature, values were as high as (630 + 90/–65) Wm–1K–1 for monoisotopic h-10BN and (405 + 87/–65) Wm–1K–1 for natural h-BN, corresponding to an isotopic enhancement of close to 60%. Both measured thermal conductivities either match or exceed previously reported values for bulk crystals, while the isotopic enhancement factor is approximately 35% higher for the isotopically enriched thin crystal compared to the equivalent bulk materials. The work presented here demonstrates isotopic engineering as a viable route to increased thermal conductivity in atomically thin h-BN, making it an outstanding platform material for thermal management in next-generation device applications.

Aflatoxins represent one of the biggest public health problems in food safety, due to their toxic potential for humans and animals. They can lead to serious threats, such as hepatotoxicity, teratogenicity and immunotoxicity. Maize is the most important cereal consumed in Mexico, with which tortillas, tamales, flours, toasts and other products are elaborated. The elaboration of tortillas begins with nixtamalisation, which is an ancient maize process, developed and applied by indigenous Mesoamerican population. Some studies have shown the effect of nixtamalisation in the inactivation of aflatoxins. The purpose of this research was to record the traditional nixtamalisation process (TNP) and to register the presence of the aflatoxin B1 (AFB1) in tortillas and the exposure to AFB1 in indigenous communities living in the Huasteca Potosina, in central México. To register the nixtamalisation technique, a questionnaire was given to women, to illustrate the process step by step. Digestion, extraction, purification, and identification of the adduct AFB1-lysine (AFB1-Lys) in serum were performed. The TNP was analysed by 51 surveys, 4% of the tortillas was above the maximum permissible levels, according to Mexican guidelines; however, all blood samples showed presence of AFB1. TNP done in indigenous communities in the Huasteca Potosina region is not efficient enough to eliminate aflatoxins present in contaminated maize. It is necessary to improve conditions of places in which the grain is stored and knowledge about the risk of exposure to aflatoxins in rural communities, as key steps for preventing exposure to this type of mycotoxins.

Nutrient pollution of waterbodies is a major worldwide water quality problem. Excessive use and discharge of nutrients can lead to eutrophication and algal blooms in fresh and marine waters, resulting in environmental problems associated with hypoxia, public health issues related to the release of toxins and freshwater scarcity. A promising option to address this problem is the recovery of nutrient releases prior to being discharged into the environment. Driven by the sustainable materials management concept, the COW2NUTRIENT (Cattle Organic Waste to NUTRIent and ENergy Technologies) framework is developed for the techno-economic evaluation and selection of nutrient recovery systems at livestock facilities. Environmental vulnerability to nutrient pollution determined through a geographic information system (GIS)-based model and techno-economic information of different state-of-the-art nutrient management technologies are combined in a multi-criteria decision analysis (MCDA) model, resulting in the selection and economic analysis of the most suitable process for each studied livestock facility. This framework has been employed for studying the implementation of sustainable phosphorus management systems at 2,217 livestock facilities in the Great Lakes area, resulting in capital expenses of 2.5 billion USD if only phosphorus recovery technologies are installed, and up to 5.2 billion USD if nutrient management is combined with biogas and power production. However, considering potential economic incentives for the recovery of phosphorus, net revenues up to 230 million USD per year can be achieved. Therefore, the framework presented reveals the potential of implementing nutrient management systems at regional scale for the abatement of phosphorus releases from livestock facilities.

Forest mortality during drought has been attributed to hydraulic failure, which can be challenging to measure. A limited number of alternative proxies for incipient leaf death exist. Here we investigate whether a terminal increase in abscisic acid (ABA) levels in leaves occurs across vascular land plants and is an indicator of imminent leaf death. For different species across vascular plants, we monitored ABA levels during lethal drought as well as leaf embolism resistance, across the canopy as leaves die following senescence, or when leaves are exposed to a heavy, lethal frost late in the growing season. We observed a considerable increase in foliage ABA levels once leaves showed signs of incipient leaf death. This increase in ABA levels upon incipient leaf death, could be induced by embolism during drought, by freezing or as leaves age naturally, and was observed in species spanning the phylogeny of vascular land plants as well as in an ABA biosynthetic mutant plant. A considerable increase in foliage ABA levels may act as an indicator of impending leaf death.

Aflatoxins are mycotoxins considered to be highly toxic and produce adverse effects on human health. These compounds, mainly aflatoxin B1 (AFB1), have been classified as human carcinogens, due to its association with the development of hepatocellular carcinoma. In Mexico, the study of aflatoxins has been focused on the evaluation of products of the basic basket, particularly on maize, which is the basis of the Mexican diet. On the other hand, most of these studies have been conducted in urban areas. Indigenous populations may be exposed to a higher risk than urban ones due to the high consumption of tortillas, the harvest and the storage conditions of their food; hence, AFB1 is frequently found contaminating maize, which is the main food source for Mexicans. There is scarce evidence of exposure in vulnerable populations, such as children. Therefore, the main objective of this research was to conduct a pilot study for the evaluation of exposure to AFB1 through the AFB1-lys adduct in 31 serum samples of children from indigenous communities in Mexico. AFB1-lys was measured by High Pressure Liquid Chromatography with fluorescence detector (HPLC-FLD), with limits of detection and quantification of 3.5 and 4.7 pg/ml, respectively. Results from this pilot study revealed that 13% of children were of short stature, 9.7% presented overweight and 6.5% obesity. 45% of the children presented detectable concentrations of AFB1-lys adduct, with a median (minimum-maximum) of 5.6 (4.8-6.5) pg of AFB1-lys adduct/mg of albumin. The AFB1-lysine exposure biomarker is an important tool for the surveillance of aflatoxins and their effects on health, so, following this intervention, it would be necessary to monitor the exposure of vulnerable populations to aflatoxins, especially in rural areas where foods are more contaminated.

Layered semiconductor gallium telluride (GaTe) undergoes a rapid structural transition to a degraded phase in ambient conditions, limiting its utility in devices such as optical switches. In this work, we demonstrate that the degradation process in GaTe flakes can be slowed down dramatically via encapsulation with graphene. Through examining Raman signatures of degradation, we show that the choice of substrate significantly impacts the degradation rate and that the process is accelerated by the transfer of GaTe to hydrophilic substrates such as SiO2/Si. We find that double encapsulation with both top and bottom graphene layers can extend the lifetime of the material for several weeks. The photoresponse of flakes encapsulated in this way is only reduced by 17.6 ± 0.4% after 2 weeks, whereas unencapsulated flakes display no response after this time. Our results demonstrate the potential for alternative, van der Waals material-based passivation strategies in unstable layered materials and highlight the need for careful selection of substrates for 2D electronic devices.

Radiotherapy treatment−induced intestinal injury and gut microbial perturbation/dysbiosis have been implicated in the pathobiology of cancer-related fatigue. The objective of this brief review was to explore the available evidence of the relationship between intestinal injury and self-reported fatigue, especially among cancer patients. The scientific evidence—including our own—linking gut mucosal barrier dysfunction and gut microbial perturbation/dysbiosis induced by cancer treatment with worsening of cancer-related fatigue (perhaps through the gut-brain axis) is limited but promising. Emerging data suggest that lifestyle interventions and the administration of specific probiotics may favorably modulate the gut microbiota and potentially mediate beneficial effects leading to improvements in fatigue.

The growing worldwide demand for energy and resources, combined with the stringent environmental challenges and regulations, means that the efficient, cost-effective, and sustainable use of energy and material sources, including bio-based, has become increasingly important [...]

Purpose: To examine a) whether there are significant differences in gut microbial diversity and in the abundance of gut microbial taxa; and b) differences in predicted functional pathways of the gut microbiome between those participants with high co-occurring symptoms and those with low co-occurring symptoms, prior to neoadjuvant chemotherapy and radiation therapy (CRT) for rectal cancer. Methods: Rectal cancer patients (n = 41) provided stool samples for 16 S rRNA gene sequencing and symptom ratings for fatigue, sleep disturbance, and depressive symptoms prior to CRT. Descriptive statistics were computed for symptoms. Gut microbiome data were analyzed using QIIME2, LEfSe, and the R statistical package. Results: Participants with high co-occurring symptoms (n = 19) had significantly higher bacterial abundances of Ezakiella, Clostridium sensu stricto, Porphyromonas, Barnesiella, Coriobacteriales Incertae Sedis, Synergistiaceae, Echerichia-Shigella, and Turicibacter compared to those with low co-occurring symptoms before CRT (n = 22). Biosynthesis pathways for lipopolysaccharide, L-tryptophan, and colanic acid building blocks were enriched in participants with high co-occurring symptoms. Participants with low co-occurring symptoms showed enriched abundances of Enterococcus and Lachnospiraceae, as well as pathways for β-D-glucoronosides, hexuronide/hexuronate, and nicotinate degradation, methanogenesis, and L-lysine biosynthesis. Conclusion: A number of bacterial taxa and predicted functional pathways were differentially abundant in patients with high co-occurring symptoms compared to those with low co-occurring symptoms before CRT for rectal cancer. Detailed examination of bacterial taxa and pathways mediating co-occurring symptoms is warranted.

Background. The role of alterations in gut microbiota composition (termed dysbiosis) has been implicated in the pathobiology of depressive symptoms; however, evidence remains limited. This cross-sectional pilot study is aimed at exploring whether depressive symptom scores changed during neoadjuvant chemotherapy and radiation therapy to treat rectal cancer, and if gut microbial taxa abundances and predicted functional pathways correlate with depressive symptoms at the end of chemotherapy and radiation therapy. Methods. 40 newly diagnosed rectal cancer patients (ages 28-81; 23 males) were assessed for depressive symptoms using the Hamilton Rating Scale for Depression (HAM-D) and provided stool samples for 16S rRNA sequencing. Gut microbiome data were analyzed using QIIME2, and correlations and regression analyses were performed in R. Results. Participants had significantly higher depressive symptoms at the end as compared to before CRT. The relative abundances of Gemella, Bacillales Family XI, Actinomyces, Streptococcus, Lactococcus, Weissella, and Leuconostocaceae were positively correlated (Spearman’s rho = 0.42 to 0.32), while Coprobacter, Intestinibacter, Intestimonas, Lachnospiraceae, Phascolarctobacterium, Ruminiclostridium, Ruminococcaceae (UCG-005 and uncultured), Tyzzerella, and Parasutterella (Spearman’s rho = − 0.43 to − 0.31 ) were negatively correlated with HAM-D scores. Of the 14 predicted MetaCyc pathways that correlated with depressive symptom scores at the end of CRT, 11 (79%) were associated with biosynthetic pathways. Conclusions. Significant bacterial taxa and predicted functional pathways correlated with depressive symptoms at the end of chemotherapy and radiation therapy for rectal cancer which warrants further examination and replication of our findings.

A novel concept of reliability-based performance evaluation using multiple deterministic analyses of nonlinear dynamic systems excited in time domain is presented. The dynamic excitations can be natural events like earthquakes or wave loadings. It can be thermo-mechanical loading caused by the use of computers. Unpredictability of the dynamic loadings, modeling the structural systems under uncertainty, and predicting the response behavior considering dynamic amplification and the different energy dissipation mechanisms can be very challenging. A transformational theoretical concept is presented to address this knowledge gap. The research objectives are achieved by using several advanced mathematical concepts including sensitivity analysis, model reduction techniques, intelligent sampling schemes, several advanced factorial schemes producing a compounding beneficial effect, and surrogate meta-modeling techniques to obtain efficiency without sacrificing accuracy. They are implemented in a multi-scale environment exploiting state-of-the-art computational power. The formulation extracts stochastic dynamical behavior using only hundreds of intelligent analyses instead of thousands of simulation-based analyses. This is a new design paradigm using intelligent multiple deterministic analyses. It will provide an alternative to simulation and the classical random vibration concept.

Nutrient pollution is a widespread water quality problem, which originates from excess nutrient runoff from agricultural land, improperly managed farming operations, and point sources such as wastewater treatment plants. Some nutrient pollution impacts include harmful algal blooms (HABs), hypoxia, and eutrophication. HABs are major environmental events that cause severe health threats and economic losses (e.g., tourism, real estate, commercial fishing). A dimension of the nutrient pollution problem that has not received much attention is that this interacts with organic waste management practices. As a result, it is important to connect the time and location of point and nonpoint nutrient source releases, nutrient soil content, spatial layout, and hydrology of agricultural lands with the transport of nutrients to water bodies and their impacts on aquatic ecosystems. In this work, we show how nutrient concentration in water bodies and other spatiotemporal factors are related to HAB development and how logistics management of livestock waste can be used to conduct space-time management of nutrient pollution. A case study for the Upper Yahara Watershed in the State of Wisconsin (U.S.) is employed to demonstrate the practicability of the modeling framework. Our framework reveals that logistics network management for waste and nutrients can reduce the incidence rates of HABs, but reducing it to nonharmful levels would require long-term efforts such as installing nutrient recovery technologies, coordinating manure storage and application, and deploying management incentive plans.

Novel geomechanics concepts for seismic design satisfying the current performance-based seismic design (PBSD) requirements are presented. Issues related to soil conditions are explicitly a...

Our societal needs for greener, economically viable products and processes have grown given the adverse environmental impact and unsustainable development caused by human activities, including chemical releases, exposure, and impacts. To make chemical processes safer and more sustainable, a novel sustainability-oriented control strategy is developed in this work. This strategy enables the incorporation of online sustainability assessment and process control with sustainability constraints into chemical process operations. Specifically, U.S. Environmental Protection Agency (EPA)’s GREENSCOPE (Gauging Reaction Effectiveness for the ENvironmental Sustainability of Chemistries with a multi-Objective Process Evaluator) tool is used for sustainability assessment and environmental release minimization of chemical processes. The multivariable GREENSCOPE indicators in real time can be represented using a novel visualization method with dynamic radar plots. The analysis of the process dynamic behavior in terms of sustainability performance provides means of defining sustainability constraints for the control strategy to improve process sustainability aspects with lower scores. For the control tasks, Biologically Inspired Optimal Control Strategy (BIO-CS) is implemented with sustainability constraints so that the control actions can be calculated considering the sustainability performance. This work leads to a significant step forward towards augmenting the capability of process control to meet future demands on multiple control objectives (e.g., economic, environmental, and safety related). The effectiveness of the proposed framework is illustrated via two case studies associated with a fermentation system. The results show that the proposed control strategy can effectively drive the system to the desired setpoints while meeting a preset sustainability constraint and improving the transient sustainability performance by up to 16.86% in terms of selected GREENSCOPE indicators.

Selection of optimal technologies for novel biobased products and processes is a major challenge in process design, especially when are considered many alternatives available to transform materials into valuable products. Furthermore, such technological alternatives vary in their technical performances and cause different levels of economic and environmental impacts throughout their life cycles. Additionally, selection of optimal production pathways requires a shift from the traditional materials management practices to more sustainable practices. This contribution provides a method for optimizing multi-product network systems from a sustainability perspective by applying the GREENSCOPE framework as a sustainable objective function. A case study is presented in which the four GREENSCOPE target areas (i.e., efficiency, energy, economics, and environment) are evaluated by 21 preselected indicators as part of a multi-objective optimization problem of a biojet fuel production network. The biojet fuel production network evaluated in this study consists of four main elements: (1) feedstocks management, (2) conversion technologies, (3) co-products upgrading, and (4) auxiliary sections for in situ production of raw materials and utilities. For the sustainability objective function, the 21 indicators are analyzed considering multiple perspectives of stakeholders to study their influence on the decision-making process. It is, different sets of weighting factors are assigned to each of the four target areas. Hence, this sustainability evaluation from different stakeholders’ perspectives allows identifying optimal networks, specific target areas with great potential for improvements, and processing steps with great influence in the entire network performance. As a result, diverse optimal network arrangements were obtained according to the multiple stakeholders’ perspectives. This evidences that a win–win situation for all sustainability aspects considered can hardly be reached. Finally, this contribution demonstrated the applicability of the proposed methodology for sustainability evaluation, optimization, and decision-making in the context of a multi-product material facility by developing a multi-objective optimization model.

The concepts of green chemistry and engineering (GC&E) have been promoted as an effective qualitative framework for developing more sustainable chemical syntheses, processes, and material management techniques. This has been demonstrated by many theoretical and practical cases. In addition, there are several approaches and frameworks focused on demonstrating that improvements were achieved through GC&E technologies. However, the application of these principles is not always straightforward. We propose using systematic frameworks and tools that help practitioners when deciding which principles can be applied, the levels of implementation, prospective of obtaining simultaneous improvements in all sustainability aspects, and ways to deal with multiobjective problems. Therefore, this contribution aims to provide a systematic combination of three different and complementary design tools for assisting designers in evaluating, developing, and improving chemical manufacturing and materials management systems under GC&E perspectives. The WAR Algorithm, GREENSCOPE, and SustainPro were employed for this synergistic approach of incorporating sustainability at early stages of process development. In this demonstration, simulated ammonia production is used as a case study to illustrate this advancement. Results show how to identify process design areas for improvements, key factors, multicriteria decision-making solutions, and optimal trade-offs. Finally, conclusions were presented regarding the tools’ use in more robust sustainable process and material management designs.

The case of 14-year-old male with low-energy tibia fracture, treated by osteosynthesis with LCP plate placement, is present. Picnodisostosis is a rare autosomal recessive lysosomal disease (1.7/million inhabitants) characterized by osteosclerosis, short stature and bone fragility and evidenced radiologically by increased bone density with permeable medular canal persistence. Due to a mutation in the gene encoding for catepsin K (1q21), enzyme responsible for the division of proteins in the bone matrix (type 1 collagen, osteonectin and osteopontin), presenting bone fragility with increased consolidation time. Diagnosis of picnodystosis was made clinically by the presence of Wormian bones in the skull, micrognathia, clavicular hypoplasia, acroosteolysis, osteosclerosis and increased bone density in long bones. Open reduction and internal fixation with tibia LCP plate was carried out, with surveillance for three months with monthly radiographic controls. The healing of the fracture was achieved within 3 months of the surgical event with reintegration into its normal activities at the same time. Picnodisostosis is a rare disease with special bone characteristics that merits treatment with special plate for osteoporotic bones obtaining good results in an acceptable time.Masculino de 14 años de edad con fractura de tibia de baja energía, tratada mediante osteosíntesis con colocación de placa LCP. La picnodisostosis es una enfermedad lisosomal autosómica recesiva rara (1.7/millón de habitantes) caracterizada por osteoesclerosis, estatura baja y fragilidad ósea, se evidencia radiológicamente por aumento de la densidad ósea con persistencia del canal medular permeable. Esta enfermedad se debe a una mutación en el gen que codifica para la catepsina K (1q21), enzima encargada de la división de las proteínas de la matriz ósea (colágeno tipo 1, osteonectina y osteopontina), presentando fragilidad ósea con aumento en el tiempo de consolidación. Se corroboró el diagnóstico de picnodisostosis clínicamente por la presencia de huesos wormianos en cráneo, micrognatia, hipoplasia clavicular, acroosteólisis de falanges distales, osteoesclerosis y aumento de la densidad ósea en huesos largos, con facies característica y talla baja. Se realizó reducción abierta y fijación interna con placa LCP a tibia, con vigilancia por tres meses con controles radiográficos mensuales. La consolidación del trazo de fractura se logró a los tres meses posteriores al evento quirúrgico con reinserción a sus actividades normales en el mismo tiempo. La picnodisostosis es una enfermedad rara, de características óseas especiales que amerita tratamiento con placa especial para huesos osteoporóticos obteniéndose buenos resultados en un tiempo aceptable.

Purpose: To examine a) whether there are significant differences in the severity of symptoms of fatigue, sleep disturbance, or depression between patients with rectal cancer who develop co-occurring symptoms and those with no symptoms before and at the end of chemotherapy and radiation therapy (CRT); b) differences in gut microbial diversity between those with co-occurring symptoms and those with no symptoms; and c) whether before-treatment diversity measurements and taxa abundances can predict co-occurrence of symptoms. Methods: Stool samples and symptom ratings were collected from 31 patients with rectal cancer prior to and at the end of (24–28 treatments) CRT. Descriptive statistics were computed and the Mann-Whitney U test was performed for symptoms. Gut microbiome data were analyzed using R’s vegan package software. Results: Participants with co-occurring symptoms reported greater severity of fatigue at the end of CRT than those with no symptoms. Bacteroides and Blautia2 abundances differed between participants with co-occurring symptoms and those with no symptoms. Our random forest classification (unsupervised learning algorithm) predicted participants who developed co-occurring symptoms with 74% accuracy, using specific phylum, family, and genera abundances as predictors. Conclusion: Our preliminary results point to an association between the gut microbiota and co-occurring symptoms in rectal cancer patients and serves as a first step in potential identification of a microbiota-based classifier.

espanolAntecedentes: la informacion regional sobre las caracteristicas de los pacientes con enfermedad por coronavirus (COVID) -19 es necesaria para una mejor comprension de la pandemia. Objetivo: El objetivo del estudio es describir las caracteristicas clinicas de los pacientes con COVID-19 diagnosticados en un centro de atencion terciaria en la Ciudad de Mexico y evaluar las diferencias segun el ambito del tratamiento (ambulatorio versus hospitalario) y la necesidad de cuidados intensivos ( IC). Metodos: Realizamos una cohorte prospectiva, que incluyo pacientes consecutivos con COVID-19 desde el 26 de febrero de 2020 hasta el 11 de abril de 2020. Resultados:Se identificaron 309 pacientes (140 pacientes hospitalizados y 169 pacientes ambulatorios). La mediana de edad fue de 43 anos (rango intercuartilico, 33-54), 59,2% varones y 18,6% trabajadores sanitarios (12,3% de nuestro centro). La mediana del indice de masa corporal (IMC) fue de 29,00 kg / m2 y el 39,6% tenia obesidad. En comparacion con los pacientes ambulatorios, los pacientes hospitalizados eran de mayor edad, tenian comorbilidades, tos y disnea con mayor frecuencia. Veintinueve (20,7%) pacientes hospitalizados requirieron tratamiento en la unidad de CI (UCI). Los antecedentes de diabetes (tipo 1 o 2) y el dolor abdominal fueron mas comunes en los pacientes de la UCI en comparacion con los pacientes que no estaban en la UCI. Los pacientes de la UCI tenian IMC mas altos, frecuencias respiratorias mas altas y saturaciones de oxigeno capilar de aire ambiente mas bajas. Los pacientes de la UCI mostraron una respuesta inflamatoria mas severa segun lo evaluado por el recuento de globulos blancos, recuento de neutrofilos y plaquetas, proteina C reactiva, ferritina, procalcitonina y niveles de albumina. Conclusiones: Los pacientes con comorbilidades, ya sean obesos de mediana edad o ancianos que se quejan de fiebre, tos o disnea, fueron mas propensos a ser ingresados. Al ingreso, los pacientes con diabetes, IMC alto y hallazgos clinicos o de laboratorio compatibles con un estado inflamatorio severo tenian mas probabilidades de requerir IC. EnglishBackground: Regional information regarding the characteristics of patients with coronavirus disease (COVID)-19 is needed for a better understanding of the pandemic. Objective: The objective of the study to describe the clinical features of COVID-19 patients diagnosed in a tertiary-care center in Mexico City and to assess differences according to the treatment setting (ambulatory vs. hospital) and to the need of intensive care (IC). Methods: We conducted a prospective cohort, including consecutive patients with COVID-19 from February 26, 2020 to April 11, 2020. Results: We identified 309 patients (140 inpatients and 169 outpatients). The median age was 43 years (interquartile range, 33-54), 59.2% men, and 18.6% healthcare workers (12.3% from our center). The median body mass index (BMI) was 29.00 kg/m2 and 39.6% had obesity. Compared to outpatients, inpatients were older, had comorbidities, cough, and dyspnea more frequently. Twenty-nine (20.7%) inpatients required treatment in the IC unit (ICU). History of diabetes (type 1 or 2) and abdominal pain were more common in ICU patients compared to non-ICU patients. ICU patients had higher BMIs, higher respiratory rates, and lower room-air capillary oxygen saturations. ICU patients showed a more severe inflammatory response as assessed by white blood cell count, neutrophil and platelet count, C-reactive protein, ferritin, procalcitonin, and albumin levels. By the end of the study period, 65 inpatients had been discharged because of improvement, 70 continued hospitalized, and five had died. Conclusions: Patients with comorbidities, either middle-age obese or elderly complaining of fever, cough, or dyspnea, were more likely to be admitted. At admission, patients with diabetes, high BMI, and clinical or laboratory findings consistent with a severe inflammatory state were more likely to require IC.

Performing risk evaluation is necessary to determine whether a chemical substance presents an unreasonable risk of injury to human health or the environment across its life cycle stages. Data gathering, reconciliation, and management for supporting risk evaluation are time-consuming and challenging, especially for end-of-life (EoL) activities due to the need for proper reporting and traceability. A data engineering framework using publicly-available databases to track chemicals in waste streams generated by industrial activities and transferred to other facilities across different U.S. locations for waste management is implemented. The analysis tracks chemicals in waste streams generated at industrial processes and handling at off-site facilities and then estimates releases from EoL activities. The final product of this effort is a framework that identifies a set of chemical, activity, and industry sector categories as well as hazardous waste flows, emission factors, and uncertainty indicators to describe EoL activities. This framework helps to identify EoL exposure scenarios that would otherwise not be evaluated. As a case study, methylene chloride, one of the first ten chemicals to undergo risk evaluation under the amended U.S. Toxic Substances Control Act, was evaluated with results highlighting potential additional exposure scenarios.

INTRODUCTION The case of 14-year-old male with low-energy tibia fracture, treated by osteosynthesis with LCP plate placement, is present. Picnodisostosis is a rare autosomal recessive lysosomal disease (1.7/million inhabitants) characterized by osteosclerosis, short stature and bone fragility and evidenced radiologically by increased bone density with permeable medular canal persistence. Due to a mutation in the gene encoding for catepsin K (1q21), enzyme responsible for the division of proteins in the bone matrix (type 1 collagen, osteonectin and osteopontin), presenting bone fragility with increased consolidation time. Diagnosis of picnodystosis was made clinically by the presence of Wormian bones in the skull, micrognathia, clavicular hypoplasia, acroosteolysis, osteosclerosis and increased bone density in long bones. Open reduction and internal fixation with tibia LCP plate was carried out, with surveillance for three months with monthly radiographic controls. The healing of the fracture was achieved within 3 months of the surgical event with reintegration into its normal activities at the same time. Picnodisostosis is a rare disease with special bone characteristics that merits treatment with special plate for osteoporotic bones obtaining good results in an acceptable time.

Our societal needs for greener, economically viable products and processes have grown given the adverse environmental impact and unsustainable development caused by human activities, including chemical releases, exposure, and impacts. To make chemical processes safer and more sustainable, a novel sustainability-oriented control strategy is developed in this work. This strategy enables the incorporation of online sustainability assessment and process control with sustainability constraints into chemical process operations. Specifically, U.S. Environmental Protection Agency (EPA)&rsquo, s GREENSCOPE (Gauging Reaction Effectiveness for the ENvironmental Sustainability of Chemistries with a multi-Objective Process Evaluator) tool is used for sustainability assessment and environmental release minimization of chemical processes. The multivariable GREENSCOPE indicators in real time can be represented using a novel visualization method with dynamic radar plots. The analysis of the process dynamic behavior in terms of sustainability performance provides means of defining sustainability constraints for the control strategy to improve process sustainability aspects with lower scores. For the control task, Biologically Inspired Optimal Control Strategy (BIO-CS) is implemented with sustainability constraints so that the control actions can be calculated considering the sustainability performance. This work leads to a significant step forward towards augmenting the capability of process control to meet future demands on multiple control objectives (e.g., economic, environmental, and safety related). The effectiveness of the proposed framework is illustrated via two case studies associated with a fermentation system. The results show that the proposed control strategy can effectively drive the system to the desired setpoints while meeting a preset sustainability constraint and improving the transient sustainability performance by up to 16.86% in terms of selected GREENSCOPE indicators.

Livestock operations have been highly intensified over the last decades, resulting in the advent of large concentrated animal feeding operations (CAFOs). Intensification decreases production costs but also leads to substantial environmental impacts. Specifically, nutrient runoff from livestock waste results in eutrophication, harmful algal blooms, and hypoxia. The implementation of nutrient recovery systems in CAFOs can abate nutrient releases and negative ecosystem responses, although they might negatively affect the economic performance of CAFOs. We design and analyze potential incentive policies for the deployment of phosphorus recovery technologies at CAFOs considering the geospatial vulnerability to nutrient pollution. The case study demonstration consists of 2217 CAFOs in the U.S. Great Lakes area. The results reveal that phosphorus recovery is more economically viable in the largest CAFOs due to economies of scale, although they also represent the largest eutrophication threats. For small and medium-scale CAFOs, phosphorus credits progressively improve the profitability of nutrient management systems. The integration of biogas production does not improve the economic performance of phosphorus recovery systems at most of CAFOs, as they lack enough size to be cost-effective. Phosphorus recovery proves to be economically beneficial by comparing the net costs of nutrient management systems with the negative economic impact derived from phosphorus releases. The incentives necessary for avoiding up to 20.7.103 ton/year phosphorus releases and achieve economic neutrality in the Great Lakes area are estimated at $223 million/year. Additionally, the fair distribution of limited incentives is studied using a Nash allocation scheme, determining the break-even point for allocating monetary resources.

Livestock waste may cause some air quality degradation from ammonia and methane emissions, soil quality detriment due to in-excess nutrients and acidification, and water pollution issues resulting from nutrient and pathogens runoff to water bodies, which leads to eutrophication, algal blooms, and hypoxia. Despite the significant environmental benefits by performing pollution management of these organic materials, the recovery of value-added products from livestock waste is not a current practice due to the high investment costs required and to the low market values being offered for the products that are recovered. Therefore, we present a supply chain design framework to conduct simultaneous economic and environmental analysis of post-livestock organic material to value-added products. The proposed framework captures techno-economic and logistical issues and can accommodate diverse types of policy incentives obtained at federal and state levels, allowing stakeholders to conduct systematic studies on the effect of incentives on economic and environmental viability of different technologies. We apply the framework to a case study for dairy farms in the State of Wisconsin (U.S.). The framework reveals that, from a purely economic perspective, products recovered from dairy waste are not competitive at current market prices. We also find that incorporating current and potential U.S. government incentives in the form of Renewable Identification Numbers (RINs) and phosphorus credits can achieve economic viability of the recovery of liquefied biomethane and nutrient-rich products. On the other hand, current incentives for electricity generation (Renewable Energy Credits or RECs) would not achieve economic viability. The analysis also reveals that the best strategy to manage waste is to synergize the deployment of technologies that conduct simultaneous recovery of liquefied biomethane and nutrients.

Pricing, incentives, and economic penalties (monetization) are common approaches to control and improve water usage and total direct greenhouse gas emissions (externalities) of energy and other industrial systems. We discuss that homogenous pricing for externalities provides limited flexibility for controlling and improving environmental impacts as different systems are affected differently by externalities. We use trade-off analysis and scalarization techniques to determine marginal prices for water and carbon by taking into account the actual physical and technical limits, stakeholders, and real-time conditions of the system at hand. We demonstrate that high water and emission prices might be needed to control and improve the current system of fixed price for externalities. In addition, a combined heat and power (CHP) system providing hot water and electricity to a real residential building complex is undertaken as case study to demonstrate and describe these concepts. For this CHP system, we found that carbon prices should be increased by a factor of 14 and water prices by a factor of 217 to achieve an optimal compromise between cost, water use, and emissions. Our results point towards the need to consider alternative pricing schemes such as resource bidding (as is done with electricity) that better capture technology trade-offs and push systems towards their efficiency limits.

Mesocellular silica foam (MCF) was synthesized and modified by grafting polyacrylamide (PAAm) onto its surface. Grafting process was carried out by free radical polymerization using vinyltrimethoxysilane (VTMS) as coupling agent. The dependence of the final PAAm content with respect to monomer and initiator concentrations, reaction time, and temperature was evaluated. The PAAm contents in the hybrid material were determined by thermogravimetric analysis (TGA) and ranged from 15 to 64%. Diverse characterization techniques confirmed the grafting processes including small-angle X-ray scattering (SAXS), infrared spectroscopy, (FT-IR), nitrogen adsorption-desorption analyses, scanning electron microscopy (SEM) and transmission electron microscopy (TEM). According with SAXS and N 2 adsorption-desorption studies, the grafting of polymer may cause pore blockage of mesopores channels being more evident for MCF silica with high content of PAAm.

The popularity and rapid obsolescence of electronic devices and products leads to many of these items eventually ending up in various waste streams. Understanding the tradeoffs in processing end-of-life E-waste materials for reuse is an important part of informing decision-makers who are considering recovery and recycle of these materials. An example study presented here is the recovery and recycle of rare earth metals in the light emitting diodes (LED) found in the backlighting unit for liquid crystal displays (LCD) of flat panel televisions. A conceptual and defined commercial-scale process for recycling E-waste is described, including the recycle of rare earth elements from the LED module. Synthesis of a full process, from display dismantling to rare earth separation, is proposed based on engineering principles and fragmented literature. The synthesis defines a process flow diagram, complete with mass and energy transfer modeling. Such a detailed commercial scale process model for recycling rare earth elements provides an advance to the science. Rare earth elements are critically important, but are low-quantity materials in many electronic items. Providing a process model for their recycle is an essential first step towards a sustainability analysis, with social, economic, and environmental implications.

The knowledge base of cancer-related symptoms is increasing; yet, limited attention has been given to provide evidence on differences in the perception of cancer symptoms between ethnic groups, especially in the Hispanic Puerto Rican (PR) population. OBJECTIVE: to examine whether there are significant differences in the severity, distress, interference, and frequency of cancer symptoms between island Hispanic PR and mainland non-Hispanic whites. METHODS: In this secondary data analysis, data from 109 Hispanic PR was matched by age, gender and cancer diagnosis with data from non-Hispanic whites. Cancer symptoms were assessed using the Cancer Symptom Scale (CSS). Mann-Whitney statistical test was used to evaluate pairwise differences between Hispanic PR and non-Hispanic whites on symptoms from the CSS. RESULTS: There were significant differences on some symptoms including PR reporting: (a) more intense itching, swelling, taste change, difficulty sleeping, bloating, depression, sadness, worry, and nervousness; (b) significantly greater distress about taste change, appetite, anxiety, depression, worry, and feeling nervous; (c) rash, anxiety, depression, sadness, and nervousness interfered the most with their daily lives; and, (d) that the frequency of occurrence of the symptoms of pain, itching, dizziness, taste change, anxiety, sadness, and nervousness was higher compared to non-Hispanic whites. CONCLUSION: PR cancer patients are at increased risk for experiencing greater severity of cancer symptoms compared to non-Hispanic whites. But because the Hispanic oncology population does not always report symptoms, risking under-assessment and under-management, this suggests there may be a greater need for symptoms surveillance for this population.

A unified Performance-Based Seismic Design (PBSD) procedure is proposed and successfully implemented. It provides an alternative to the currently used life safety design requirement. To successfully develop the concept, structures are represented by finite elements and excited by the seismic loading in time domain. A novel reliability evaluation procedure is proposed for such representation. An improved response surface based procedure is proposed by combining it with the First-Order Reliability Method (FORM) and the appropriate response surfaces are constructed by combining the saturated design and the central composite design sampling schemes. Performances are defined in terms of Collapse Prevention (CP), Life Safety (LS), and Immediate Occupancy (IO), as commonly used in the profession. The corresponding risks are evaluated by exciting a 9-story steel frame designed by experts satisfying all post-Northridge seismic design requirements. It was excited by 20 earthquake time histories for each performance level and the corresponding probabilities of failure were estimated. It took around 300 deterministic evaluations. The accuracy of the method was established using 600,000 cycles of Monte Carlo simulations. The probabilities of failure estimated using the proposed algorithm are very similar to that of simulations indicating that it is accurate. The probability of failure for two serviceability limit states (overall and inter-story drifts) are very similar, indicating that the procedure will satisfy the basic intent of PBSD. They are also similar to the values used in developing the Load and Resistance Factor Design (LRFD) guidelines used in many current design codes. Designing a structure using multiple time histories, as suggested in recent design guidelines, is a step in the right direction. From the results and the observations made in this study, the authors believe that they proposed a robust, efficient, and accurate unified PBSD procedure and documented its implementation potential.