Predicting Sodium-Ion Battery Performance through Surface Chemistry Analysis and Textural Properties of Functionalized Hard Carbons Using AI.

Traditionally, the performance of sodium-ion batteries has been predicted based on a single characteristic of the electrodes and its relationship to specific capacity increase. However, recent studies have shown that this hypothesis is incorrect because their performance depends on multiple physical and chemical variables. Due to the above, the present communication shows machine learning as an innovative strategy to predict the performance of functionalized hard carbon anodes prepared from grapefruit peels. In this sense, a three-layer feed-forward Artificial Neural Network (ANN) was designed. The inputs used to feed the ANN were the physicochemical characteristics of the materials, which consisted of mercury intrusion porosimetry data (SHg and average pore), elemental analysis (C, H, N, S), ID/IG ratio obtained from RAMAN studies, and X-ray photoemission spectroscopy data of the C1s, N1s, and O1s regions. In addition, two more inputs were added: the cycle number and the applied C-rate. The ANN architecture consisted of a first hidden layer with a sigmoid transfer function and a second layer with a log-sigmoid transfer function. Finally, a sigmoid transfer function was used in the output layer. Each layer had 10 neurons. The training algorithm used was Bayesian regularization. The results show that the proposed ANN correctly predicts (R2 > 0.99) the performance of all materials. The proposed strategy provides critical insights into the variables that must be controlled during material synthesis to optimize the process and accelerate progress in developing tailored materials.

Early exposure to glyphosate during larval development induces late behavioural effects on adult honey bees.

As the most abundant pollinator insect in crops, Apis mellifera is a sentinel species of the pollinator communities. In these ecosystems, honey bees of different ages and developmental stages are exposed to diverse agrochemicals. However, most toxicological studies analyse the immediate effects during exposure. Late effects during adulthood after early exposure to pollutants during larval development are poorly studied in bees. The herbicide glyphosate (GLY) is the most applied pesticide worldwide. GLY has been detected in honey and beebread from hives near treated crops. Alterations in growth, morphogenesis or organogenesis during pre-imaginal development could induce late adverse effects after the emergence. Previous studies have demonstrated that GLY alters honey bee development, immediately affecting survival, growth and metabolism, followed by late teratogenic effects. The present study aims to determine the late impact on the behaviour and physiology of adult bees after pre-imaginal exposure to GLY. For that, we reared brood in vitro or in the hive with sub-chronic exposure to the herbicide with the average detected concentration in hives. Then, all newly emerged bees were reared in an incubator until maturity and tested when they became nurse-aged bees. Three behavioural responses were assessed as markers of cognitive and physiological impairment. Our results show i) decreased sensitivity to sucrose regardless of the rearing procedure, ii) increased choice latency and locomotor alterations during chemotaxis and iii) impaired associative learning. These late toxicity signs could indicate adverse effects on task performance and colony efficiency.

Sugar-conditioned honey bees can be biased towards a nectarless dioecious crop.

The targeted pollination strategy has shown positive results in directing honey bees to crop flowers offering nectar along with pollen as reward. Kiwifruit is a functionally dioecious species, which relies on bees to transport pollen from staminate to pistillate nectarless flowers. Following the targeted pollination procedures recently validated, we first developed a mimic odor (KM) based on kiwifruit floral volatiles for which bees showed the highest level of generalization to the natural floral scent, although the response towards pistillate flowers was higher than towards staminate flowers. Then, in the field, feeding colonies KM-scented sucrose solution resulted in higher amounts of kiwifruit pollen collected by honey bees compared to control colonies fed unscented sucrose solution. Our results support the hypothesis that olfactory conditioning bees biases their foraging preferences in a nectarless crop, given the higher visitation to target flowers despite having provided the mimic odor paired with a sugar reward.

Development of an artificial neural network (ANN) for the prediction of a pilot scale mobile wastewater treatment plant performance.

Productive activities such as pig farming are a fundamental part of the economy in Mexico. Unfortunately, because of this activity, large quantities of wastewater are generated that have a negative impact in the environment. This work shows an alternative for treating piggery wastewater based on advanced oxidation processes (Fenton and solar photo Fenton, SPF) that have been probed successfully in previous works. In the first stage, Fenton and SPF were carried out on a laboratory scale using a Taguchi L9-type experimental design. From the statistical analysis of this design, the operating parameters: pH, time, hydrogen peroxide concentration [H2O2], and iron ferrous concentration [Fe2+] that maximize the response variables: Chemical Oxygen Demand (COD), Total Organic Carbon (TOC), and color were chosen. From these, a cascade forward neural network was implemented to establish a correlation between data from the variables to the physicochemical parameters to be measure being that a great fit of the data was obtained having a correlation coefficient of 0.99 which permits to optimize the pollutant degradation and predict the removal efficiencies at pilot scale but with a projection to a future industrial scale. A relevant result, it was found that the optimal values for maximizing the removal of physicochemical parameters were pH = 3, time = 60 min, H2O2/COD = 1.5 mg L-1, and H2O2/Fe2+ = 2.5 mg L-1. With these conditions degradation percentages of 91.44%, 47.14%, and 97.89% for COD, TOC, and color were obtained from the Fenton process, while for SPF the degradation percentage increased moderately. From the ANN analysis, the possibility to establish an intelligent system that permits to predict multiple results from operational conditions has been achieved.

Identification of chemosensory genes in the stingless bee Tetragonisca fiebrigi.

Reception of chemical information from the environment is crucial for insects' survival and reproduction. The chemosensory reception mainly occurs by the antennae and mouth parts of the insect, when the stimulus contacts the chemoreceptors located within the sensilla. Chemosensory receptor genes have been well-studied in some social hymenopterans such as ants, honeybees, and wasps. However, although stingless bees are the most representative group of eusocial bees, little is known about their odorant, gustatory, and ionotropic receptor genes. Here, we analyze the transcriptome of the proboscis and antennae of the stingless bee Tetragonisca fiebrigi. We identified and annotated 9 gustatory and 15 ionotropic receptors. Regarding the odorant receptors, we identified 204, and we were able to annotate 161 of them. In addition, we compared the chemosensory receptor genes of T. fiebrigi with those annotated for other species of Hymenoptera. We found that T. fiebrigi showed the largest number of odorant receptors compared with other bees. Genetic expansions were identified in the subfamilies 9-exon, which was also expanded in ants and paper wasps; in G02A, including receptors potentially mediating social behavior; and in GUnC, which has been related to pollen and nectar scent detection. Our study provides the first report of chemosensory receptor genes in T. fiebrigi and represents a resource for future molecular and physiological research in this and other stingless bee species.

Immune reconstitution inflammatory syndrome-associated lymphoma: A retrospective Brazilian cohort.

After initiating combined antiretroviral therapy (cART), individuals with human immunodeficiency virus (HIV) may develop Hodgkin/non-Hodgkin lymphoma due to immune reconstitution inflammatory syndrome (IRIS). This retrospective cohort study evaluated the incidence, clinical features and prognosis of IRIS-associated lymphomas in Brazilian patients. Incidence in 2000-2019 was 9.8% (27/276 patients with HIV and lymphoma; viral load drop >1 log). Time between HIV diagnosis and cART initiation was <1 year in 70.3% of cases. Time between cART initiation and lymphoma diagnosis was <3 months in 11 cases and 3-6 months in 16 cases. Overall and progression-free survival rates were similar between cases of non-IRIS-associated lymphoma and IRIS-associated lymphoma.

Phylogenetics, Epidemiology and Temporal Patterns of Dengue Virus in Araraquara, São Paulo State.

Dengue virus (DENV) is a prominent arbovirus with global spread, causing approximately 390 million infections each year. In Brazil, yearly epidemics follow a well-documented pattern of serotype replacement every three to four years on average. Araraquara, located in the state of São Paulo, has faced significant impacts from DENV epidemics since the emergence of DENV-1 in 2010. The municipality then transitioned from low to moderate endemicity in less than 10 years. Yet, there remains an insufficient understanding of virus circulation dynamics, particularly concerning DENV-1, in the region, as well as the genetic characteristics of the virus. To address this, we sequenced 37 complete or partial DENV-1 genomes sampled from 2015 to 2022 in Araraquara. Then, using also Brazilian and worldwide DENV-1 sequences we reconstructed the evolutionary history of DENV-1 in Araraquara and estimated the time to the most recent common ancestor (tMRCA) for serotype 1, for genotype V and its main lineages. Within the last ten years, there have been at least three introductions of genotype V in Araraquara, distributed in two main lineages (L Ia and L Ib, and L II). The tMRCA for the first sampled lineage (2015/2016 epidemics) was approximately 15 years ago (in 2008). Crucially, our analysis challenges existing assumptions regarding the emergence time of the DENV-1 genotypes, suggesting that genotype V might have diverged more recently than previously described. The presence of the two lineages of genotype V in the municipality might have contributed to the extended persistence of DENV-1 in the region.

Application of artificial intelligence for the optimization of advanced oxidation processes to improve the water quality polluted with pharmaceutical compounds.

Sulfamethoxazole and metronidazole are emerging pollutants commonly found in surface water and wastewater. These compounds have a significant environmental impact, being necessary in the design of technologies for their removal. Recently, the advanced oxidation process has been proven successful in the elimination of this kind of compounds. In this sense, the present work discusses the application of UV/H2O2 and ozonation for the degradation of both molecules in single and binary systems. Experimental kinetic data from O3 and UV/H2O2 process were adequately described by a first and second kinetic model, respectively. From the ANOVA analysis, it was determined that the most statistically significant variables were the initial concentration of the drugs (0.03 mmol L-1) and the pH = 8 for UV/H2O2 system, and only the pH (optimal value of 6) was significant for degradation with O3. Results showed that both molecules were eliminated with high degradation efficiencies (88-94% for UV/H2O2 and 79-98% for O3) in short reaction times (around 30-90 min). The modeling was performed using a quadratic regression model through response surface methodology representing adequately 90 % of the experimental data. On the other hand, an artificial neural network was used to evaluate a non-linear multi-variable system, a 98% of fit between the model and experimental data was obtained. The identification of degradation byproducts was performed by high-performance liquid chromatography coupled to a time mass detector. After each process, at least four to five stable byproducts were found in the treated water, reducing the mineralization percentage to 20% for both molecules.

Paediatric sepsis survivors are resistant to sepsis-induced long-term immune dysfunction.

BACKGROUND AND PURPOSE: Sepsis-surviving adult individuals commonly develop immunosuppression and increased susceptibility to secondary infections, an outcome mediated by the axis IL-33/ILC2s/M2 macrophages/Tregs. Nonetheless, the long-term immune consequences of paediatric sepsis are indeterminate. We sought to investigate the role of age in the genesis of immunosuppression following sepsis. EXPERIMENTAL APPROACH: Here, we compared the frequency of Tregs, the activation of the IL-33/ILC2s axis in M2 macrophages and the DNA methylation of epithelial lung cells from post-septic infant and adult mice. Likewise, sepsis-surviving mice were inoculated intranasally with Pseudomonas aeruginosa or by subcutaneous inoculation of the B16 melanoma cell line. Finally, blood samples from sepsis-surviving patients were collected and the concentration of IL-33 and Tregs frequency were assessed. KEY RESULTS: In contrast to 6-week-old mice, 2-week-old mice were resistant to secondary infection and did not show impairment in tumour controls upon melanoma challenge. Mechanistically, increased IL-33 levels, Tregs expansion, and activation of ILC2s and M2-macrophages were observed in 6-week-old but not 2-week-old post-septic mice. Moreover, impaired IL-33 production in 2-week-old post-septic mice was associated with increased DNA methylation in lung epithelial cells. Notably, IL-33 treatment boosted the expansion of Tregs and induced immunosuppression in 2-week-old mice. Clinically, adults but not paediatric post-septic patients exhibited higher counts of Tregs and seral IL-33 levels. CONCLUSION AND IMPLICATIONS: These findings demonstrate a crucial and age-dependent role for IL-33 in post-sepsis immunosuppression. Thus, a better understanding of this process may lead to differential treatments for adult and paediatric sepsis.

Development of a Low-Cost Artificial Vision System as an Alternative for the Automatic Classification of Persian Lemon: Prototype Test Simulation.

In the present research work, an algorithm of artificial neural network (ANN) has been developed based on the processing of digital images of Persian lemons with the aim of optimizing the quality control of the product. For this purpose, the physical properties (weight, thickness of the peel, diameter, length, and color) of 90 lemons selected from the company Esperanza de San José Ornelas SPR de RL (Jalisco, Mexico) were studied, which were divided into three groups (Category "extra", Category I, and Category II) according to their characteristics. The parameters of weight (26.50 ± 3.00 g), diameter/length (0.92 ± 0.08) and thickness of the peel (1.50 ± 0.29 mm) did not present significant differences between groups. On the other hand, the color (determined by the RGB and HSV models) presents statistically significant changes between groups. Due to the above, the proposed ANN correctly classifies 96.60% of the data obtained for each of the groups studied. Once the ANN was trained, its application was tested in an automatic classification process. For this purpose, a prototype based on the operation of a stepper motor was simulated using Simulink from Matlab, which is connected to three ideal switches powered by three variable pulse generators that receive the information from an ANN and provide the corresponding signal for the motor to turn to a specific position. Manual classification is a process that requires expert personnel and is prone to human error. The scientific development presented shows an alternative for the automation of the process using low-cost computational tools as a potential alternative.

Design of a Novel Auxiliary Diagnostic Test for the Determination of Authenticity of Tequila 100% Agave Silver Class Based on Chemometrics Analysis of the Isotopic Fingerprint of the Beverage.

The present research shows a robust isotopic ratio characterization of Carbon-13 (δ13CVPDB) in congeneric compounds such as methanol, n-propanol, isoamyl alcohol, ethyl lactate, ethyl acetate, ethanol, and acetaldehyde in representative samples (n = 69) of Tequila 100% agave silver class (TSC), employing gas chromatography/combustion/isotope-ratio mass spectrometry (GC/C/IRMS). From the information obtained, the construction of a radial plot attributable to the isotopic fingerprint of TSC was achieved. With this information, a diagnostic test was designed to determine the authenticity of TSC, comparing alcoholic beverages from other agave species as non-authentic samples. The sensitivity of the test was 94.2%; the specificity was 83.3%. Additionally, non-authentic samples were analyzed that meet all the criteria established in the regulations. The results obtained show that the GC/C/IRMS analytical technique and designed diagnostic test are useful as auxiliary parameters to determine the authenticity of the beverage, thus managing to determine the adulteration or falsification of the product.

Synthesis and photothermal performance of non-stoichiometric molybdenum oxide (MoO3-x) prepared by gamma radiation.

This work reports the interaction of γ-rays with MoO3 in several solvents to obtain non-stoichiometric (sub-oxide) MoO3-x through a one-pot synthesis. The effect of different doses of γ-radiation (30-90 kGy) with different protic solvents (water, N,N-dimethylformamide and formic acid) was investigated. Structural modifications were characterized by X-ray diffractometry and scanning electron microscopy while optical properties were investigated by UV-Vis spectroscopy. The analysis of the highly intense (020), (040) and (060) diffraction peaks suggests that there is a reduction in water and formic acid allowing the formation of MoO3-x nanosheets. Additionally, the photothermal response of MoO3-x obtained under different conditions was characterized, and a possible mechanism to explain the interaction of γ-rays with solvents and the oxide structure by oxidative/reductive processes in the solution was proposed.

Limitaciones de los puntajes de riesgo cardiovascular en prevención primaria. ¿Una oportunidad para los moduladores de riesgo? / Limitations of cardiovascular risk scores in primary prevention. An opportunity for risk modulators?

RESUMEN Introducción : Los puntajes de riesgo cardiovascular tienen limitaciones relacionadas con la calibración, la discriminación y la baja sensibilidad. Se han identificado diferentes "moduladores de riesgo" que permiten mejorar la estratificación del riesgo cardiovascular: placa aterosclerótica carotídea (PAC), puntaje de calcio arterial coronario (pCAC) y lipoproteína(a) [Lp(a)]. Objetivos : 1) determinar la prevalencia de los moduladores de riesgo citados en una población en prevención primaria; 2) determinar la concordancia entre los 2 métodos de detección de aterosclerosis subclínica; 3) establecer qué proporción de pacientes deberían recibir estatinas inicialmente, según su puntaje de riesgo, y posteriormente con el conocimiento de los moduladores de riesgo. Material y métodos : Se incluyeron individuos de 18 a 79 años, que asistieron para una evaluación de riesgo cardiovascular y que no estaban recibiendo tratamiento hipolipemiante. Se calculó el puntaje de riesgo (ASCVD Risk Estimator) en cada paciente. Se evaluó la presencia de PAC, el pCAC y el nivel plasmático de Lp(a). Resultados : Se incluyeron 348 pacientes (edad media 55,6 ± 12,2 años, 45,4% hombres). En la población total, 29,8%, 36,8% y 53,2% de los pacientes mostraron un valor de Lp(a) ≥ 50 mg/dL, PAC o un pCAC > 0, respectivamente. La prevalencia de PAC y pCAC fue progresivamente mayor según la categoría de riesgo cardiovascular; sin embargo, la proporción de sujetos de bajo riesgo que tenían moduladores de riesgo fue considerable (Lp(a) ≥ 50 mg/dl: 25,7%; PAC: 22%; pCAC > 0: 33%). En los 60 individuos menores de 45 años la prevalencia de pCAC > 0 y PAC fue de 18,3% y 10%, respectivamente. La concordancia entre los dos métodos para determinar la presencia de ateromatosis subclínica fue discreta (kappa 0,33). La indicación del tratamiento con estatinas aumentó un 31,6% luego de evaluar la presencia de moduladores. Conclusión : La presencia de moduladores de riesgo fue frecuente en esta población en prevención primaria, incluso en sujetos de bajo riesgo o menores de 45 años. La detección de moduladores de riesgo podría mejorar la estratificación inicial y llevar a reconsiderar el tratamiento con estatinas.

ABSTRACT Background : Cardiovascular risk scores have limitations related to calibration, discrimination, and low sensitivity. Different "risk modulators" have been identified to improve cardiovascular risk stratification: carotid atherosclerotic plaque (CAP), coronary artery calcium (CAC) score and lipoprotein(a) [Lp(a)]. Objectives : The aims of this study were: 1) to determine the prevalence of risk modulators mentioned in a primary prevention population; 2) determine the concordance between the 2 methods of detecting subclinical atherosclerosis; and 3) establish which proportion of patients should receive statins according to the initial risk stratification and after being recategorized by screening for risk modulators. Methods : Individuals aged 18 to 79 years who consulted for cardiovascular risk assessment and who were not receiving lipid-lowering treatment were included. The risk score was calculated in each patient using ASCVD Risk Estimator. The presence of CAP, CAC score and Lp(a) level were evaluated. Results : The cohort was made up of 348 patients; mean age was 55.6 ± 12.2 years and 45.4% were men. In the total population, 29.8%, 36.8%, and 53.2% of patients showed Lp(a) value ≥50 mg/dL, CAP, or a CAC score >0, respectively. The prevalence of CAP and CAC score was progressively higher according to the cardiovascular risk category; however, the proportion of low-risk subjects who had risk modulators was considerable (Lp(a) ≥50 mg/dl: 25.7%; CAP: 22%; CAC score >0: 33%). In the 60 subjects <45 years, the prevalence of CAC score >0 and CAP was 18.3% and 10%, respectively. The agreement between the two methods for quantifying subclinical atheromatosis was fair (kappa= 0.33). The indication for statin treatment increased by 31.6% after evaluating the presence of modulators. Conclusion : The presence of risk modulators was common in this population in primary prevention, even in low-risk subjects or < 45 years. Detection of risk modulators could improve initial stratification and lead to reconsideration of statin treatment.

La prueba cardiopulmonar de ejercicio contribuye a determinar con precisión el riesgo en pacientes con hipertensión pulmonar de bajo riesgo / Cardiopulmonary Exercise Testing Contributes to Accurate Risk Assessment in Patients with Low-risk Pulmonary Hypertension

RESUMEN Introducción : Las guías europeas de hipertensión arterial pulmonar (HAP) estratifican el riesgo valiéndose de características clínicas y estudios complementarios entre los cuales está la prueba cardiopulmonar de ejercicio (PCPE), de la cual toma en cuenta 3 parámetros: el consumo de O2 (VO2) pico, su porcentaje respecto del predicho y la pendiente ventilación minuto/ producción de dióxido de carbono (VE/VCO2). Sin embargo, ninguno de los modelos que validaron esta forma de estratificar el riesgo incluyeron la PCPE entre sus variables. Objetivos : Determinar qué proporción de pacientes con HAP del grupo I considerados de bajo riesgo y que caminan >440 metros en la prueba de caminata de 6 minutos (PC6M) tienen en la PCPE parámetros considerados de riesgo moderado o alto. Material y métodos : Se incluyeron pacientes >18 años con diagnóstico de HAP del grupo I considerados de bajo riesgo con una PC6M >400 metros a los que se les realizó una PCPE en la que se registró el VO2 pico, su porcentaje respecto del VO2 predicho y la pendiente VE/VCO2. Se determinó qué proporción de pacientes presentaban estos parámetros en un estrato de riesgo mayor a bajo riesgo (VO2 pico <15 ml/kg/min, su porcentaje respecto del predicho <65% y la pendiente VE/VCO2 >36). Resultados : Se incluyeron 18 pacientes. A pesar de ser pacientes de bajo riesgo y con buena clase funcional todos presentaron un VO2 pico menor al 85% del predicho, lo cual determina un deterioro al menos leve de la capacidad funcional. Un único paciente (6%) presentó los tres parámetros evaluados en bajo riesgo, 8 pacientes (44%) tuvieron al menos un parámetro alterado, 7 pacientes (39%) presentaron 2 parámetros alterados y en 2 pacientes (11%) todos los parámetros estuvieron alterados. Los parámetros que más frecuentemente se vieron alterados fueron el porcentaje respecto del VO2 predicho y la pendiente VE/VCO2, en el 67% de los casos. Solo 4 pacientes presentaron un VO2 pico <15 ml/k/m. Ningún paciente presentó valores de VO2 pico o porcentaje respecto del predicho en la categoría de alto riesgo. Sin embargo, 6 pacientes (33%) presentaron una pendiente VE/VCO2 considerada de alto riesgo. Conclusión : El 94% de los pacientes considerados de bajo riesgo presentaron al menos una variable en la PCPE que no corresponde a un perfil de riesgo bajo. La pendiente VE/VCO2 y el porcentaje de VO2 pico respecto del predicho fueron las variables más frecuentemente alteradas. La pendiente VE/VCO2 fue la única que mostró valores considerados de alto riesgo. La PCPE podría tener un lugar en la estratificación de precisión de pacientes de bajo riesgo. El valor de este hallazgo deberá ser evaluado en estudios prospectivos, al tiempo que genera las bases para el planteo de hipótesis respecto de la estratificación de riesgo y la intensidad del tratamiento en pacientes que aparentan estar en bajo riesgo.

ABSTRACT Background : European guidelines for pulmonary arterial hypertension (PAH) stratify the risk using clinical characteristics and complementary studies, including the cardiopulmonary exercise test (CPET). This takes into account 3 parameters: peak O2 consumption (peak VO2), its percentage with respect to the predicted VO2, and the minute ventilation/carbon dioxide production (VE/VCO2) slope. However, none of the models that validated this way of stratifying risk included PCPE among their variables. Objectives : To determine what proportion of patients with group I PAH considered to be at low risk and who walk >440 meters in the 6-minute walk test (6MWT) have parameters considered to be of moderate or high risk in the PCPE. Methods : Patients >18 years of age, diagnosed with group I PAH at low risk of events, who walked >440 meters in the 6MWT and had NT-proBNP value <300 pg/dL were included. A CPET was performed in which the peak VO2, its percentage with respect to the predicted VO2, and the VE/VCO2 slope were recorded. It was determined what proportion of patients presented these parameters in a higher than low risk stratum (peak VO2 consumption ≤15 ml/min/Kg, its percentage with respect to the predicted VO2 ≤65% and the VE/VCO2 slope ≥36). Results : Eighteen patients were included. Despite being low-risk patients with a good functional class, all patients presented a peak VO2 less than 85% of predicted, which determines a deterioration of functional capacity. A single patient (6%) presented the three parameters evaluated at low risk, 8 patients (44%) had at least one altered parameter, 7 patients (39%) presented 2 altered parameters and in 2 patients (11%) all parameters were altered. The parameters that were most frequently altered were the percentage of predicted peak VO2 and the VE/VCO2 slope in 67% of the cases. Only 4 patients presented a peak VO2 <15 ml/kg/m. No patient presented peak VO2 values or percentage of predicted VO2 in the high-risk category. However, 6 patients (33%) presented a high-risk VE/VCO2 slope. Conclusion : Majority (92%) of the patients considered low risk and who walk more than 440 meters in 6 minutes presented at least one altered variable in the CPET. The VE/VCO2 slope and the percentage of predicted peak VO2 consumption were the most frequently altered variables. The VE/VCO2 slope was the only one that showed values considered high risk. CPET could have a place in the precision stratification of low-risk patients. The value of this finding should be evaluated in prospective studies.

Advances in the development of tailor-made color alcoholic beverages based on an accelerated maturation process.

The study of the evolution of color of alcoholic beverages subjected to accelerate maturation process using heat-treated French oak wood fragments is presented. The results show that it is possible to obtain tonalities like aged beverages in 4 weeks. In this sense, the fragments conditioned at 150 °C (light toasted) proportionated colors like white wine, pale straw, and pale gold. On the other hand, the fragments that received a heat treatment at 200 °C (medium toasted) present yellow tones such as old gold, amber, and deep gold. Finally, the fragments treated at 250 °C (heavily toasted) are those with the most intense yellow tones, classified as sweet chestnut, sherry, russet, muscat, and tawny. The studies of kinetic maturation concluded that the mathematical model of parabolic diffusion could correctly describe the process. Based on this, it is concluded that the heat treatment increases the cavities of the most exposed surface of the wood, increasing the maximum humidity of the materials by 20 %; in such a way that during the first two weeks, there is a diffusion of the solution to the active sites. Wood bioactive compounds on the outer surface achieve a rapid extraction, such as flavonoids, which oxidize rapidly within the solution, generating an increase in yellow color. The previous results were corroborated in a real case analysis using Tequila which can be concluded that the proposed process can give the beverage similar colors to an aged, extra-aged, and ultra-aged class in less than 4 weeks.

A Current Review of Water Pollutants in American Continent: Trends and Perspectives in Detection, Health Risks, and Treatment Technologies.

Currently, water pollution represents a serious environmental threat, causing an impact not only to fauna and flora but also to human health. Among these pollutants, inorganic and organic pollutants are predominantly important representing high toxicity and persistence and being difficult to treat using current methodologies. For this reason, several research groups are searching for strategies to detect and remedy contaminated water bodies and effluents. Due to the above, a current review of the state of the situation has been carried out. The results obtained show that in the American continent a high diversity of contaminants is present in the water bodies affecting several aspects, in which in some cases, there exists alternatives to realize the remediation of contaminated water. It is concluded that the actual challenge is to establish sanitation measures at the local level based on the specific needs of the geographical area of interest. Therefore, water treatment plants must be designed according to the contaminants present in the water of the region and tailored to the needs of the population of interest.

Factors associated with survival in patients with lymphoma and HIV.

OBJECTIVE: To analyze the factors associated with survival in the largest cohort of individuals with HIV and lymphoma so far described in Brazil. DESIGN: A retrospective, observational, multicenter study involving five institutions in São Paulo, Brazil. METHODS: The medical records of consecutive patients with HIV diagnosed with lymphoma between January 2000 and December 2019 were screened. Inclusion criteria consisted of age over 17 years and a biopsy-confirmed diagnosis of lymphoma. The data collected included age, sex, staging (Ann Arbor system), duration of HIV infection, CD4 + lymphocyte count, HIV viral load, lactate dehydrogenase, erythrocyte sedimentation rate and serum beta-2-microglobulin levels, treatment and outcome. RESULTS: Overall, 276 patients were included. Median age was 42 years. Most patients were male (74.3%) and with an Eastern Cooperative Oncology Group (ECOG) performance status of 0 or 1 (28.6% and 46.4%, respectively). Most had non-Hodgkin lymphomas (89.2%, n  = 246), particularly diffuse large B-cell lymphoma (40.9%) and Burkitt lymphoma (26.4%). Hodgkin lymphoma accounted for 9.4%. Advanced stages III/IV were predominant (86.8%). HIV viral load at the moment of lymphoma diagnosis was detectable in 52.9% of patients. A CD4 + cell count of <200 cells/µl was recorded for 53% of the patients. Most patients (62.4%) were on combination antiretroviral therapy. The factors that significantly affected survival were: the ECOG performance status, lymphoma subtype, staging, beta-2-microglobulin level, central nervous system (CNS) infiltration, site of CNS infiltration, relapsed/refractory lymphoma and International Prognostic Index score. CONCLUSIONS: HIV status, CD4 + -lymphocyte count and relapsed/refractory disease affected survival. Rituximab did not appear to improve outcome in HIV-related lymphomas.

In-hive learning of specific mimic odours as a tool to enhance honey bee foraging and pollination activities in pear and apple crops.

The areas devoted to agriculture that depend on pollinators have been sharply increased in the last decades with a concomitant growing global demand for pollination services. This forces to consider new strategies in pollinators' management to improve their efficiency. To promote a precision pollination towards a specific crop, we developed two simple synthetic odorant mixtures that honey bees generalized with their respective natural floral scents of the crop. We chose two commercial crops for fruit production that often coexist in agricultural settings, the apple (Malus domesticus) and the pear trees (Pyrus communis). Feeding colonies with sucrose solution scented with the apple mimic (AM) or the pear mimic (PM) odour enabled the establishment of olfactory memories that can bias bees towards the flowers of these trees. Encompassing different experimental approaches, our results support the offering of scented food to improve foraging and pollination activities of honey bees. The circulation of AM-scented sucrose solution inside the hive promoted higher colony activity, probably associated with greater activity of nectar foragers. The offering of PM-scented sucrose solution did not increase colony activity but led to greater pollen collection, which is consistent with pear flowers offering mainly pollen as resources for the bees. Results obtained from apple and pear crops suggest that the offering of AM- and PM-scented sucrose solution increased fruit yields. This preliminary study highlights the role of in-hive olfactory learning to bias foraging preferences within pome fruit crops.

Evaluation of Provider Preferences in First-Line Metastatic Renal Cell Carcinoma: Comparison Between Dual Immunotherapy vs. Immunotherapy/Tyrosine Kinase Inhibitors.

INTRODUCTION: Dual immunotherapy (ipilimumab/nivolumab, IO/IO) and immunotherapy/tyrosine kinase inhibitor (IO/TKI) combinations (e.g. pembrolizumab/axitinib) are approved for the first-line treatment of intermediate/poor risk metastatic renal cell carcinoma (RCC), but there is limited comparative data between these two options. We sought to understand how oncologists decide between IO/IO vs. IO/TKI. METHODS: We sent a 10-question electronic survey centered on a patient scenario of intermediate/poor risk metastatic RCC to 294 academic/disease-focused and general oncologists in the US. RESULTS: We received 105 responses (36% response rate): 61% (64) of providers chose IO/IO, 39% (41) chose IO/TKI. 78% (82) of oncologists were academic or disease-focused, 22% (23) were general. Academic/disease-focused oncologists were significantly more likely to choose IO/IO (56/82, 68%) than general oncologists (8/23, 35%), P = .004. Among those who chose IO/IO, the perceived main issue with IO/TKI was: long-term toxicities - 31% (20), short-term toxicities - 28% (18), less effective - 28% (18), less convenient - 8% (5). Among those who chose IO/TKI, the perceived main issue with IO/IO was: short-term toxicities - 43% (17), less effective - 28% (11), long-term toxicities - 15% (6), and risk of death - 10% (4). 88% (92) of providers would be comfortable enrolling patients into a phase III trial comparing IO/IO vs. IO/TKI. We found no associations between therapy chosen by a provider and participation as PI in a trial of IO/IO or IO/TKI, or receipt of outside funding from an IO/IO or IO/TKI company. CONCLUSION: In response to a patient scenario of intermediate/poor risk metastatic RCC, 61% of providers chose IO/IO, 39% chose IO/TKI. There was a significant association between type of practice and choice of therapy, with academic/disease-focused oncologists more likely to choose IO/IO. The majority of oncologists would be comfortable enrolling patients into a phase III trial comparing IO/IO vs. IO/TKI.

Development of a Predictive Model for Agave Prices Employing Environmental, Economic, and Social Factors: Towards a Planned Supply Chain for Agave-Tequila Industry.

The interest of consumers to acquire Tequila has caused an increase in its sales. As demand increases, the Tequila industry must obtain its raw material at a constant rate and agave farmers must be prepared to satisfy this supply chain. Because of this, modernization of the strategies used to ensure a planned, scheduled, timely, and predictable production will allow farmers to maintain the current demand for Tequila. This has been evidenced in official historical records from 1999 to 2020 where there is a fluctuation in the price of agave due to supply and demand. Given this scenario, this research shows the development of a multivariable predictive mathematical model that will permit the agave−Tequila production chain to work based on a smart implementation of planned actions to guarantee the agave supply to the Tequila industry. The proposed model has a goodness of fit (R = 0.8676; R¯2 = 0.8609; F(1,20) = 131.01 > F0.01 (1,20) = 8.10) and demonstrates the impact on agave prices is due to several factors: Tequila exports (α = 0.50) > agave plants harvested "jima" (α = 0.44) > dollar exchange (α = 0.43) > Tequila production (α = 0.06) > annual accumulated precipitation (α = 0.05). Nevertheless, the price forecast can be influenced by climate change or economic crises that affect the supply chain. In conclusion, a prediction of agave price stabilization for five years is shown where authorized producers can evaluate future scenarios so that the agave supply chain can be guaranteed for Tequila production, facilitating the decision making regarding its raw material.