Smoking and Health-Related Quality of Life(SF-36).A Population-Based Study in Campinas,SP,Brazil

Introduction: Smoking persists as a global and relevant health problem being one of the major risk factors to non-communicable diseases and early death. Studies on the association between smoking and health related quality of life (HRQL) are scarce in Brazil and Latin America. The aim of this study was to analyze the HRQL according to smoking status on adults aged 20 to 59 years, living in Campinas, Brazil. Method: It is a population-based cross-sectional study, carried out with data from the Campinas Health Survey developed in 2008/2009. The dependent variables were the eight scales and the two components—physical (PCS) and mental component summary (MCS) of the instrument SF-36, version 2. Means and confidence intervals of the SF-36 scale scores and components were estimated according to smoking (never smokers, former smokers, current smokers) and nicotine dependence (mild, moderate, heavy). Results: The sample comprised 957 individuals (mean age of 37.5 years). Comparing with never smokers, smokers had lower score means in all SF-36 scales, except in physical functioning and role-physical;among the former smokers, lower scores were observed in vitality and mental health. A reduction of the MCS score was observed among smokers and former smokers among men;but in the female population, this reduction was observed only in smokers compared with never smokers. According to the nicotine dependence, it was observed an increasing reduction in MCS scores from mild, to moderate and heavy smokers. Conclusion: Smoking is significantly and negatively associated with HRQL in the studied population. The results point out the importance of the strategic policies against smoking, to reduce morbidity and premature death, but also to increase the quality of life and well-being. It is also important to consider the mental health dimension, since that best mental health can be relevant to promote healthier behaviors.

The initial stages of Li_(2)O_(2) formation during oxygen reduction reaction in Li-O_(2) batteries:The significance of Li_(2)O_(2) in charge-transfer reactions within devices

Lithium-oxygen batteries are a promising technology because they can greatly surpass the energy density of lithium-ion batteries.However,this theoretical characteristic has not yet been converted into a real device with high cyclability.Problems with air contamination,metallic lithium reactivity,and complex discharge and charge reactions are the main issues for this technology.A fast and reversible oxygen reduction reaction(ORR)is crucial for good performance of secondary batteries',but the partial knowledge of its mechanisms,especially when devices are concerned,hinders further development.From this perspective,the present work uses operando Raman experiments and electrochemical impedance spectroscopy(EIS)to assess the first stages of the discharge processes in porous carbon electrodes,following their changes cycle by cycle at initial operation.A growth kinetic formation of the discharge product signal(Li_(2)O_(2))was observed with operando Raman,indicating a first-order reaction and enabling an analysis by a microkinetic model.The solution mechanism in the evaluated system was ascribed for an equivalent circuit with three time constants.While the time constant for the anode interface reveals to remain relatively constant after the first discharge,its surface seemed to be more non-uniform.The model indicated that the reaction occurs at the Li_(2)O_(2) surface,decreasing the associated resistance during the initial discharge phase.Furthermore,the growth of Li_(2)O_(2) forms a hetero-phase between Li_(2)O_(2)/electrolyte,while creating a more compact and homogeneous on the Li_(2)O_(2)/cathode surface.The methodology here described thus offers a way of directly probing changes in surface chemistry evolution during cycling from a device through EIS analysis.

Cerebral and muscle tissue oxygenation during exercise in healthy adults: A systematic review

Background:Near-infrared spectroscopy(NIRS)technology has allowed for the measurement of cerebral and skeletal muscle oxygenation simultaneously during exercise.Since this technology has been growing and is now successfully used in laboratory and sports settings,this systematic review aimed to synthesize the evidence and enhance an integrative understanding of bloodflow adjustments and oxygen(O_(2))changes(i.e.,the balance between O_(2) delivery and O_(2) consumption)within the cerebral and muscle systems during exercise.Methods:A systematic review was conducted using PubMed,Embase,Scopus,and Web of Science databases to search for relevant studies that simultaneously investigated cerebral and muscle hemodynamic changes using the near-infrared spectroscopy system during exercise.This review considered manuscripts written in English and available before February 9,2023.Each step of screening involved evaluation by 2 inde-pendent authors,with disagreements resolved by a third author.The Joanna Briggs Institute Critical Appraisal Checklist was used to assess the methodological quality of the studies.Results:Twenty studies were included,of which 80%had good methodological quality,and involved 290 young or middle-aged adults.Different types of exercises were used to assess cerebral and muscle hemodynamic changes,such as cycling(n=11),treadmill(n=1),knee extension(n=5),isometric contraction of biceps brachii(n=3),and duet swim routines(n=1).The cerebral hemodynamics anal-ysis was focused on the frontal cortex(n=20),while in the muscle,the analysis involved vastus lateralis(n=18),gastrocnemius(n=3),biceps brachii(n=5),deltoid(n=1),and intercostal muscle(n=1).Overall,muscle deoxygenation increases during exercise,reaching a plateau in voluntary exhaustion,while in the brain,oxyhemoglobin concentration increases with exercise intensity,reaching a plateau or declining at the exhaustion point.Conclusion:Muscle and cerebral oxygenation respond differently to exercise,with muscle increasing O_(2) utilization and cerebral tissue increasing O_(2) delivery during exercise.However,at the exhaustion point,both muscle and cerebral oxygenation become compromised.This is characterized by a reduction in bloodflow and a decrease in O_(2) extraction in the muscle,while in the brain,oxygenation reaches a plateau or decline,potentially resulting in motor failure during exercise.

Clinical implications of single cell sequencing for bladder cancer

Bladder cancer(BC)is the 10th most common cancer worldwide,with about 0.5 million reported new cases and about 0.2 million deaths per year.In this scoping review,we summarize the current evidence regarding the clinical implications of single-cell sequencing for bladder cancer based on PRISMA guidelines.We searched PubMed,CENTRAL,Embase,and supplemented with manual searches through the Scopus,and Web of Science for published studies until February 2023.We included original studies that used at least one single-cell technology to study bladder cancer.Forty-one publications were included in the review.Twenty-nine studies showed that this technology can identify cell subtypes in the tumor microenvironment that may predict prognosis or response to immune checkpoint inhibition therapy.Two studies were able to diagnose BC by identifying neoplastic cells through single-cell sequencing urine samples.The remaining studies were mainly a preclinical exploration of tumor microenvironment at single cell level.Single-cell sequencing technology can discriminate heterogeneity in bladder tumor cells and determine the key molecular properties that can lead to the discovery of novel perspectives on cancer management.This nascent tool can advance the early diagnosis,prognosis judgment,and targeted therapy of bladder cancer.

Investigation of pore geometry influence on fluid flow in heterogeneous porous media:A pore-scale study

Brazilian pre-salt reservoirs are renowned for their intricate pore networks and vuggy nature,posing significant challenges in modeling and simulating fluid flow within these carbonate reservoirs.Despite possessing excellent petrophysical properties,such as high porosity and permeability,these reservoirs typically exhibit a notably low recovery factor,sometimes falling below 10%.Previous research has indicated that various enhanced oil recovery(EOR)methods,such as water alternating gas(WAG),can substantially augment the recovery factor in pre-salt reservoirs,resulting in improvements of up to 20%.Nevertheless,the fluid flow mechanism within Brazilian carbonate reservoirs,characterized by complex pore geometry,remains unclear.Our study examines the behavior of fluid flow in a similar heterogeneous porous material,utilizing a plug sample obtained from a vugular segment of a Brazilian stromatolite outcrop,known to share analogies with certain pre-salt reservoirs.We conducted single-phase and multi-phase core flooding experiments,complemented by medical-CT scanning,to generate flow streamlines and evaluate the efficiency of water flooding.Subsequently,micro-CT scanning of the core sample was performed,and two cross-sections from horizontal and vertical plates were constructed.These cross-sections were then employed as geometries in a numerical simulator,enabling us to investigate the impact of pore geometry on fluid flow.Analysis of the pore-scale modeling and experimental data unveiled that the presence of dead-end pores and vugs results in a significant portion of the fluid remaining stagnant within these regions.Consequently,the injected fluid exhibits channeling-like behavior,leading to rapid breakthrough and low areal swept efficiency.Additionally,the numerical simulation results demonstrated that,irrespective of the size of the dead-end regions,the pressure variation within the dead-end vugs and pores is negligible.Despite the stromatolite's favorable petrophysical properties,including relatively high porosity and permeability,as well as the presence of interconnected large vugs,the recovery factor during water flooding remained low due to early breakthrough.These findings align with field data obtained from pre-salt reservoirs,providing an explanation for the observed low recovery factor during water flooding in such reservoirs.

Localized-states quantum confinement induced by roughness in CdMnTe/CdTe heterostructures grown on Si(111) substrates

This work shows that despite a lattice mismatch of almost 20%, CdMnTe/CdTe/CdMnTe heterostructures grown directly on Si(111) have surprisingly good optical emission properties. The investigated structures were grown by molecular beam epitaxy and characterized by scanning transmission electron microscopy, macro-and micro-photoluminescence. Low temperature macro-photoluminescence experiments indicate three emission bands which depend on the CdTe layer thickness and have different confinement characteristics. Temperature measurements reveal that the lower energy emission band (at 1.48 eV)is associated to defects and bound exciton states, while the main emission at 1.61 eV has a weak 2D character and the higher energy one at 1.71 eV has a well-defined (zero-dimensional, 0D) 0D nature. Micro-photoluminescence measurements show the existence of sharp and strongly circularly polarized (up to 40%) emission lines which can be related to the presence of Mn in the heterostructure. This result opens the possibility of producing photon sources with the typical spin control of the diluted magnetic semiconductors using the low-cost silicon technology.

Interaction between diet and genetics in patients with inflammatory bowel disease

In this editorial,we comment on the article by Marangoni et al,published in the recent issue of the World Journal of Gastroenterology 2023;29:5618-5629,about“Diet as an epigenetic factor in inflammatory bowel disease”.The authors emphasized the role of diet,especially the interaction with genetics,in promoting the inflam-matory process in inflammatory bowel disease(IBD)patients,focusing on DNA methylation,histone modifications,and the influence of microRNAs.In this editorial,we explore the interaction between genetics,gut microbiota,and diet,in an only way.Furthermore,we provided dietary recommendations for patients with IBD.The Western diet,characterized by a low fiber content and deficiency the micronutrients,impacts short-chain fatty acids production and may be related to the pathogenesis of IBD.On the other hand,the consumption of the Mediter-ranean diet and dietary fibers are associated with reduced risk of IBD flares,particularly in Crohn’s disease(CD)patients.According to the dietary guidance from the International Organization for the Study of Inflammatory Bowel Diseases(IOIBD),the regular consumption of fruits and vegetables while reducing the consumption of saturated,trans,dairy fat,additives,processed foods rich in maltodextrins,and artificial sweeteners containing sucralose or saccharine is recommended to CD patients.For patients with ulcerative colitis,the IOIBD recommends the increased intake of natural sources of omega-3 fatty acids and follows the same restrictive recommendations aimed at CD patients,with the possible inclusion of red meats.In conclusion,IBD is a complex and hetero-geneous disease,and future studies are needed to elucidate the influence of epigenetics on diet and microbiota in IBD patients.

Corrigendum to“Towards a business model for second-life batteries:Barriers,opportunities,uncertainties,and technologies”[J.Energy Chem.78(2023)507–525]

In the Acknowledgments Section,please replace“Shell oil”for“TotalEnergies”.The authors would like to apologise for any inconvenience caused.For the sake of clarity(“Shell oil”should be removed and in boldblack“TotalEnergies”inserted),this section should say:The authors would like to thank Moura Batteries for the financial support.

Possible Uses for Silymarin in Human Health: Systematic Review

Silymarin, from the fruit of Silybum marianum, is known for its hepatoprotective action. The aim of this study was to review the mechanisms of action of the silymarin phytocomplex to expand the possibilities for its application in human health. The search for published articles was carried out on the CAPES Journals Portal platform, which covers worldwide scientific databases. Publications from 2010 to 2022 were included. Of the 311 articles retrieved, 21 were included. The articles discuss the diversity of silymarin’s applications and the possibility of optimizing its bioavailability using drug delivery systems. Silymarin shows promise in numerous diseases, such as liver, kidney, cardiovascular, respiratory and others. Its antiviral action has been demonstrated in studies and silymarin has the potential to be used as a complementary therapy in the treatment of many diseases, with the expectation that, in the future, it will be used in therapeutic protocols for exclusive use.

Emergency Care for Children and Adolescents after Sexual Violence, in Brazil’s Capital, Brasilia

Objective: Sexual violence affects women of all ages but, more commonly, children and adolescents. This study aimed to identify the extent to which services are being provided at the hospitals responsible for the emergency care of children and adolescents who have suffered sexual violence and to determine whether there is any difference in the provision of such services as a function of the victim’s age. Method: This cross-sectional study investigated differences in the care received by female children and adolescents who are victims of sexual violence in a capital city, comparing the treatment given to girls under 15 with that given to adolescents of 15 to 19 years of age. The data were extracted from the State Department of Health database between 01/01/2012 and 31/12/2016. Results: Children under 15 were much less likely to receive prophylaxis against HIV, sexually transmitted infections and hepatitis B, with the number of adolescent girls treated adequately corresponding to between twice and almost three times the number of children treated prophylactically. Only 10% of girls under 15 received emergency contraception. Conclusion: The lack of standard care established by the Ministry of Health highlights the need for urgent debates both locally and probably throughout the country, as the situation may be similar in other regions of the country.

Dysregulated microRNAs in type 2 diabetes and breast cancer:Potential associated molecular mechanisms

Type 2 diabetes(T2D)is a multifaceted and heterogeneous syndrome associated with complications such as hypertension,coronary artery disease,and notably,breast cancer(BC).The connection between T2D and BC is established through processes that involve insulin resistance,inflammation and other factors.Despite this comprehension the specific cellular and molecular mechanisms linking T2D to BC,especially through microRNAs(miRNAs),remain elusive.miRNAs are regulators of gene expression at the post-transcriptional level and have the function of regulating target genes by modulating various signaling pathways and biological processes.However,the signaling pathways and biological processes regulated by miRNAs that are associated with T2D and BC have not yet been elucidated.This review aims to identify dysregulated miRNAs in both T2D and BC,exploring potential signaling pathways and biological processes that collectively contribute to the development of BC.

Sarcopenia and Anemia Are Predictors of Poor Prognostic in Cervical Cancer Patients

Objective: Evaluate pretreatment sarcopenia and anemia as prognostic factors in women undergoing treatment for cervical cancer (CC) with concurrent chemoradiotherapy (CCRT). Methods: 151 women with CC were analysed in this cohort study. Pretreatment computed tomography (CT) images were analysed to assess skeletal muscle index (SMI). Hazard ratios (HR) and multivariate Cox proportional HR were used to analyse association between low SMI, age, body mass index (BMI), haemoglobin levels, histological type, and International Federation of Gynaecology and Obstetrics (FIGO) stage with PFS and OS. Results: A total of 151 patients were included, 53 (35.1%) presented pretreatment sarcopenia;51 (34%) stage I/II and 100 (66%) stage III/IV. Among those patients in advanced stage (III/IV) 37 (70%) (p = 0.28) were sarcopenic at the beginning of treatment. Sarcopenia was associated with worse progression-free survival (PFS) and overall survival (OS) in our cohort [HR 0.97 (p = 0.01)] [HR 0.73 (p = 0.001)], as well as anemia [HR 0.73 (p = 0.001)] [HR 0.78 (p = 0.001)]. Linear regression models indicated that despite showing no association with age, neutrophil or platelet counts, sarcopenia was associated with pretreatment anemia levels (p = 0.01). After a multivariate analysis, only haemoglobin (anemia) and complete CCRT remained associated with PFS and OS. Sarcopenia and anemia were associated with worse PFS and OS in FIGO stage I/II. Conclusion: Pretreatment sarcopenia was significantly associated with low haemoglobin levels. Anemia and incomplete CCRT were independently associated with poor prognosis in women with CC. Pretreatment sarcopenia, as low SMI, was a predictor of poor prognostic in early stages of CC.

Metabolomics in chronic hepatitis C:Decoding fibrosis grading and underlying pathways

BACKGROUND Chronic Hepatitis C(CHC)affects 71 million people globally and leads to liver issues such as fibrosis,cirrhosis,cancer,and death.A better understanding and prognosis of liver involvement are vital to reduce morbidity and mortality.The accurate identification of the fibrosis stage is crucial for making treatment decisions and predicting outcomes.Tests used to grade fibrosis include histological analysis and imaging but have limitations.Blood markers such as molecular biomarkers can offer valuable insights into fibrosis.AIM To identify potential biomarkers that might stratify these lesions and add information about the molecular mechanisms involved in the disease.METHODS Plasma samples were collected from 46 patients with hepatitis C and classified into fibrosis grades F1(n=13),F2(n=12),F3(n=6),and F4(n=15).To ensure that the identified biomarkers were exclusive to liver lesions(CHC fibrosis),healthy volunteer participants(n=50)were also included.An untargeted metabolomic technique was used to analyze the plasma metabolites using mass spectrometry and database verification.Statistical analyses were performed to identify differential biomarkers among groups.RESULTS Six differential metabolites were identified in each grade of fibrosis.This six-metabolite profile was able to establish a clustering tendency in patients with the same grade of fibrosis;thus,they showed greater efficiency in discriminating grades.CONCLUSION This study suggests that some of the observed biomarkers,once validated,have the potential to be applied as prognostic biomarkers.Furthermore,it suggests that liquid biopsy analyses of plasma metabolites are a good source of molecular biomarkers capable of stratifying patients with CHC according to fibrosis grade.

Reviewing perovskite oxide sites influence on electrocatalytic reactions for high energy density devices

Batteries,fuel cells,and supercapacitors are electrochemical devices already on the market and still need a boost in kinetics to match the high energy density demand of applications.Perovskites have attracted the scientific community's attention in the last decade due to their electrocatalytic activity,chemical and structural properties,tunability,low cost,and scalability.Efforts have been made to understand the active sites and the operational mechanisms in perovskite oxides to shape them as an electrocatalyst in advanced energy devices.Understanding the role of perovskites is the key to engineering more controlled and efficient electrocatalysts via chemical synthesis,and there is still much to do.This review highlights the use of perovskites in different energy storage and conversion systems.The A,B,and A&B doping-site effects are analyzed to understand the opportunities and challenges related to this class of materials.In addition,the synthesis methods and the properties related to the doping site are described and summarized.

Parameter identification for a damage phase field model using a physics-informed neural network

This work applies concepts of artificial neural networks to identify the parameters of a mathematical model based on phase fields for damage and fracture.Damage mechanics is the part of the continuum mechanics that models the effects of micro-defect formation using state variables at the macroscopic level.The equations that define the model are derived from fundamental laws of physics and provide important relationships among state variables.Simulations using the model considered in this work produce good qualitative and quantitative results,but many parameters must be adjusted to reproduce certain material behavior.The identification of model parameters is considered by solving an inverse problem that uses pseudo-experimental data to find the best values that fit the data.We apply physics informed neural network and combine some classical estimation methods to identify the material parameters that appear in the damage equation of the model.Our strategy consists of a neural network that acts as an approximating function of the damage evolution with output regularized using the residue of the differential equation.Three stages of optimization seek the best possible values for the neural network and the material parameters.The training alternates between the fitting of only the pseudo-experimental data or the total loss that includes the regularizing terms.We test the robustness of the method to noisy data and its generalization capabilities using a simple physical case for the damage model.This procedure deals better with noisy data in comparison with a more standard PDE-constrained optimization method,and it also provides good approximations of the material parameters and the evolution of damage.

Ion dynamics into different pore size distributions in supercapacitors under compression

Compressing supercapacitor(SCs)electrode is essential for improving the energy storage characteristics and minimizing ions’distance travel,faradaic reactions,and overall ohmic resistance.Studies comprising the ion dynamics in SC electrodes under compression are still rare.So,the ionic dynamics of five aqueous electrolytes in electrodes under compression were studied in this work for tracking electrochemical and structural changes under mechanical stress.A superionic state is formed when the electrode is compressed until the micropores match the dimensions with the electrolyte’s hydrated ion sizes,which increases the capacitance.If excessive compression is applied,the accessible pore regions decrease,and the capacitance drops.Hence,as the studied hydrated ions have different dimensions,the match between ion/pore sizes differs.To the LiOH and NaClO4electrolytes,increasing the pressure from 60 to 120 and 100 PSI raised the capacitance from 13.5 to 35.2 F g^(-1)and 30.9 to 39.0 F g^(-1),respectively.So,the KOH electrolyte with the lowest and LiCl with the biggest combination of hydrated ion size have their point of maximum capacitance(39.5 and 36.7F g^(-1))achieved at 140 and 80 PSI,respectively.To LiCl and KCl electrolytes,overcompression causes a drop in capacitance higher than 23%.

Machine learning inspired workflow to revise field development plan under uncertainty

We present an efficient and risk-informed closed-loop field development (CLFD) workflow for recurrently revising the field development plan (FDP) using the accrued information. To make the process practical, we integrated multiple concepts of machine learning, an intelligent selection process to discard the worst FDP options and a growing set of representative reservoir models. These concepts were combined and used with a cluster-based learning and evolution optimizer to efficiently explore the search space of decision variables. Unlike previous studies, we also added the execution time of the CLFD workflow and worked with more realistic timelines to confirm the utility of a CLFD workflow. To appreciate the importance of data assimilation and new well-logs in a CLFD workflow, we carried out researches at rigorous conditions without a reduction in uncertainty attributes. The proposed CLFD workflow was implemented on a benchmark analogous to a giant field with extensively time-consuming simulation models. The results underscore that an ensemble with as few as 100 scenarios was sufficient to gauge the geological uncertainty, despite working with a giant field with highly heterogeneous characteristics. It is demonstrated that the CLFD workflow can improve the efficiency by over 85% compared to the previously validated workflow. Finally, we present some acute insights and problems related to data assimilation for the practical application of a CLFD workflow.

In situ and operando infrared spectroscopy of battery systems:Progress and opportunities

In situ and operando infrared spectroscopies are powerful techniques to support the design of novel materials for batteries and the development of new battery systems.These techniques can support the study of batteries by identifying the formation of new species and monitoring electrochemical energy stability.However,few works have employed these techniques,which can be used to investigate various materials,including systems beyond lithium-ion technology,in the research of batteries.Therefore,this review presents a comprehensive overview focusing on the main contributions of in situ and operando infrared spectroscopy for lithium-ion batteries(LIBs)and other battery systems.These techniques can successfully identify the formation of species during the electrolyte reduction,electrode degradation,and the formation of the solid-electrolyte interphase(SEI)layer.From these outcomes,it is possible to conclude that this characterization approach should be employed as a protocol to overcome remaining issues in batteries,consequently supporting battery research.This review aims to be a guide on how infrared spectroscopy can contribute to monitoring battery systems and to lead researchers interested in applying this technique.