Dual-Criteria Decision Analysis by Multiphotonic Effects in Nanostructured ZnO.

Simultaneous interrogation of pump and probe beams interacting in ZnO nanostructures of a two-wave mixing is proposed for dual-path data processing of optical signals by nonlinear optical effects. An enhancement in third-order nonlinear optical properties was exhibited by Al-doped ZnO thin films. Multiphoton absorption and nonlinear refraction were explored by the z-scan technique at 532 nm with nanosecond pulses. The evolution of the optical Kerr effect in the ZnO thin films was analyzed as a function of the incorporation of Al in the sample by a vectorial two-wave mixing method. Electrical and photoconductive effects were evaluated to further characterize the influence of Al in the ZnO solid samples. Potential applications of nonlinear optical parameters for encoding and encrypting information in light can be envisioned.

Earlier detection of gestational diabetes impacts on medication requirements, neonatal and maternal outcomes.

AIM: Gestational diabetes (GD) is a global health concern with significant implications for maternal and neonatal outcomes. This study investigates the association between early GD (eGD) diagnosis (<24 weeks), pharmacotherapy requirements and adverse neonatal outcomes. MATERIALS AND METHODS: A cohort of 369 pregnant women underwent a 75-g oral glucose tolerance test. Maternal variables, pharmacotherapy prescriptions and neonatal outcomes were analysed employing t-tests, χ2 tests, and logistic regression. A p < .05 was considered significant. RESULTS: Early GD increased the odds of neonatal hypoglycaemia [odds ratio (OR): 18.57, p = .013] and respiratory distress syndrome (OR: 4.75, p = .034). Nutritional therapy prescription by an accredited nutritionist was the most common treatment in women diagnosed after 24 weeks, but those with eGD required more frequently specialized nutritional consulting + metformin to achieve glycaemic control (p = .027). eGD was associated with a higher requirement of nutritional therapy prescription + metformin (OR: 2.26, 95% confidence interval: 1.25-4.09, p = .007) and with maternal hyperglycaemia during the post-partum period at 2 h of the oral glucose tolerance test (OR: 1.03, 95% confidence interval: 1.02-1.13, p = .024). CONCLUSION: Timely diagnosis and personalized treatment of GD are desirable because an earlier presentation is related to a higher risk of adverse neonatal and maternal outcomes.

Effect of a diabetes-specific formula in non-diabetic inpatients with stroke: a randomized controlled trial.

BACKGROUND/OBJECTIVES: In patients with acute stroke, the presence of hyperglycaemia has been associated with higher morbidity and less neurological recovery. The aim of the study was to evaluate the impact of a diabetes specific enteral nutrition (EN) formula on glycaemia, comorbidities and mortality in patients admitted with a first episode of stroke who received complete EN. METHODS: This was a prospective randomised controlled trial. Patients with acute stroke did not have diagnosis of diabetes mellitus and required nasogastric tube feeding. This study has been registered with code NCT03422900. The patients were randomised into two arms: an isocaloric isoprotein formula (control group (CG), 27 patients) vs a diabetes-specific formula (low glycaemic index carbohydrates, fibre (80% soluble) and higher lipid content) (experimental group (EG), 25 patients). Pre-EN blood glucose, hyperglycaemia during EN treatment, HbA1c, insulin use, oral route recovery, length of stay (LOS) and mortality at 30 days were collected. The complications of enteral nutrition during admission were collected as well. RESULTS: 52 patients were included, 50% females, with an age of 77.44(11.48) years; 34 (65.4%) had ischaemic stroke, with a Rankin score of 0(0-2), and a National Institute of Health Stroke Scale (NIHSS) of 19 (15-22). In CG, there were more cases of hyperglycaemia on the 5th day post-NE (13(65%) vs7(35%), p < 0.01). CG showed an OR of 7.58(1.49-39.16) (p = 0.02) for the development of hyperglycaemia. There were no differences in LOS between groups (12(8.5) days vs 14(23) days, p = 0.19) or in the death rate (10(37%) vs 10(40%), p = 0.8), although differences were found in terms of oral route recovery (EG: 11(44%) patients vs CG: 5(18.5%) patients, p = 0.04) (OR (EG): 5.53(1.25-24.47); p = 0.02). CONCLUSIONS: The use of a diabetes-specific enteral formula in non-diabetic patients admitted with acute stroke reduced the risk of developing hyperglycaemia and improved the rate of oral route recovery. Registered under ClinicalTrials.gov Identifier no. NCT03422900.

Multiphotonic Ablation and Electro-Capacitive Effects Exhibited by Candida albicans Biofilms.

This work reports the modification in the homogeneity of ablation effects with the assistance of nonlinear optical phenomena exhibited by C. albicans ATCC 10231, forming a biofilm. Equivalent optical energies with different levels of intensity were irradiated in comparative samples, and significant changes were observed. Nanosecond pulses provided by an Nd:YAG laser system at a 532 nm wavelength in a single-beam experiment were employed to explore the photodamage and the nonlinear optical transmittance. A nonlinear optical absorption coefficient -2 × 10-6 cm/W was measured in the samples studied. It is reported that multiphotonic interactions can promote more symmetric optical damage derived by faster changes in the evolution of fractional photoenergy transference. The electrochemical response of the sample was studied to further investigate the electronic dynamics dependent on electrical frequency, and an electro-capacitive behavior in the sample was identified. Fractional differential calculations were proposed to describe the thermal transport induced by nanosecond pulses in the fungi media. These results highlight the nonlinear optical effects to be considered as a base for developing photothermally activated phototechnology and high-precision photodamage in biological systems.

Spatially modulated ablation driven by chaotic attractors in human lung epithelial cancer cells.

A significant modification in photoinduced energy transfer in cancer cells is reported by the assistance of a dynamic modulation of the beam size of laser irradiation. Human lung epithelial cancer cells in monolayer form were studied. In contrast to the quantum and thermal ablation effect promoted by a standard focused Gaussian beam, a spatially modulated beam can caused around 15% of decrease in the ablation threshold and formation of a ring-shaped distribution of the photothermal transfer effect. Optical irradiation was conducted in A549 cells by a 532 nm single-beam emerging from a Nd:YVO4 system. Ablation effects derived from spatially modulated convergent waves were controlled by an electrically focus-tunable lens. The proposed chaotic behavior of the spatial modulation followed an Arneodo chaotic oscillator. Fractional dynamic thermal transport was analyzed in order to describe photoenergy in propagation through the samples. Immediate applications of chaos theory for developing phototechnology devices driving biological functions or phototherapy treatments can be considered.

EEG signals from tinnitus sufferers at identifying their sound tinnitus.

The present database contains brain activity of subjective tinnitus sufferers at identifying their sound tinnitus. The main objective of this database is to provide spontaneous Electroencephalographic (EEG) activity at rest, and evoked EEG activity when tinnitus sufferers attempt to identify their sound tinnitus among 54 tinnitus sound examples. For the database, 37 volunteers were recruited: 15 ones without tinnitus (Control Group - CG), and 22 ones with tinnitus (Tinnitus Group - TG). For EEG recording, 30 channels were used to record two conditions: 1) basal condition, where the volunteer remained in a state of rest with the open eyes for two minutes; and 2) active condition, where the volunteer must have identified his/her sound stimulus by pressing a key. For the active condition, a sound-tinnitus library was generated in accordance with the most typical acoustic properties of tinnitus. The library consisted in ten pure tones (250 Hz, 500 Hz, 1 kHz, 2 kHz, 3 kHz, 3.5 kHz, 4 kHz, 6 kHz, 8 kHz, 10 kHz), a White Noise (WN), a Narrow Band noise-High frequencies (NBH, 4 kHz-10 kHz), a Narrow Band noise-Medium frequencies (NBM,1 kHz-4 kHz), a Narrow-Band noise Low frequencies (NBL, 250 Hz-1 kHz), ten pure tones combined with WN, ten pure tones superimposed with NBH, ten tones with NBM and ten pure tones combined with NBL. In total, 54 sound-tinnitus were applied for both groups. In the case of CG, volunteers must have identified a sound at 3.5 kHz. In addition to EEG information, a csv-file with audiometric and psychoacoustic information of volunteers is provided. For TG, this information refers to: 1) hearing level, 2) type of tinnitus, 3) tinnitus frequency, 4) tinnitus perception, 5) Hospital Anxiety and Depression Scale (HADS) and 6) Tinnitus Functional Index (TFI). For CG, the information refers to: 1) hearing level, and 2) HADS.

RC-Effects on the Oxide of SOI MOSFET under Off-State TDDB Degradation: RF Characterization and Modeling.

Based on S-parameter measurements, the effect of dynamic trapping and de-trapping of charge in the gate oxide, the increase of dielectric loss due to polarization, and the impact of leakage current on the small-signal input impedance at RF is analyzed and represented. This is achieved by systematically extracting the corresponding model parameters from single device measurements at different frequency ranges, and then the methodology is applied to analyze the evolution of these parameters when the device is submitted to non-conducting electrical stress. This approach not only allows to inspect the impact of effects not occurring under DC conditions, such as the current due to the time varying dielectric polarization, but also to clearly distinguish effects in accordance with the functional form of their contribution to the device's impedance. In fact, it is shown that minor changes in the model of the gate capacitance by including additional resistive and capacitive components allows for an excellent model-experiment correlation up to 30 GHz. Moreover, the accuracy of the correlation is shown to be maintained when applying the proposal to the device under different gate-to-source bias conditions and at several stages during off-state degradation.

Hierarchical Nanobiosensors at the End of the SARS-CoV-2 Pandemic.

Nanostructures have played a key role in the development of different techniques to attack severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Some applications include masks, vaccines, and biosensors. The latter are of great interest for detecting diseases since some of their features allowed us to find specific markers in secretion samples such as saliva, blood, and even tears. Herein, we highlight how hierarchical nanoparticles integrated into two or more low-dimensional materials present outstanding advantages that are attractive for photonic biosensing using their nanoscale functions. The potential of nanohybrids with their superlative mechanical characteristics together with their optical and optoelectronic properties is discussed. The progress in the scientific research focused on using nanoparticles for biosensing a variety of viruses has become a medical milestone in recent years, and has laid the groundwork for future disease treatments. This perspective analyzes the crucial information about the use of hierarchical nanostructures in biosensing for the prevention, treatment, and mitigation of SARS-CoV-2 effects.

Evaluación de una intervención grupal basada en mindfulness en pacientes con ansiedad y depresión atendidos en un centro comunitario de salud mental: estudio cuasi experimental / Evaluation of a group intervention based on Mindfulness in patients with anxiety and depression cared for in mental health community center: a quasy-experimental study

Objetivo: Evaluar la efectividad de una intervención grupal basada en mindfulness en pacientes con ansiedad y depresión atendidos en un centro de salud mental comunitario. Secundariamente, valorar la calidad de vida y la adherencia a la intervención. Método: Estudio cuasi experimental con evaluaciones pre y postintervención llevado a cabo entre marzo de 2015 y diciembre de 2019 en personas mayores de 18 años atendidas en el Centro de Salud Mental de Adultos (CSMA) de Les Corts, Barcelona. Como criterios de inclusión se tomaron en cuenta: 1) sintomatología de ansiedad (Escala de Ansiedad de Hamilton [HARS] > 10 puntos) y 2) firma de consentimiento informado. Las variables recogidas fueron 1) ansiedad, 2) depresión (Inventario de Depresión de Beck [BDI]), 3) calidad de vida (EuroQoL [EQ-5D]) y 4) adherencia a la intervención. La intervención fue de nueve sesiones semanales de 75 min y fue realizada por dos enfermeras. Cada grupo estaba formado por 10-15 pacientes. Resultados: Un total de 128 usuarios fueron incluidos, de los cuales 103 eran mujeres con una edad media de 52,23 (desviación estándar [DE] 12,78). Al comparar medidas pre y post, se observaron mejoras en relación con la sintomatología ansiosa, depresiva y la calidad de vida general (p<0,001) y sus dimensiones de ansiedad-depresión (EQ-5D) (p=0,003). La media de sesiones asistidas fue de 6,17 (DE 2,31) y estaban correlacionadas de forma estadísticamente significativa y positiva con una mejora de la sintomatología ansiosa (p<0,001) y depresiva (p=0,021). No se observaron diferencias entre grupos de edad. Conclusiones: La intervención grupal basada en mindfulness mejora la sintomatología ansiosa y depresiva, así como la calidad de vida. Esto se asocia con una mayor adherencia a la intervención.(AU)

Objective: To evaluate the effectiveness of a group intervention based on Mindfulness in patients with anxiety and depression treated in a community mental health center. Secondarily, to evaluate quality of life and adherence to the intervention. Methods: Quasi-experimental study with evaluations pre-post intervention in people over 18 years of age treated at the Les Corts Adult Mental Health Center (AMHC), Barcelona, between March 2015 and December 2019. Inclusion criteria: 1) anxiety symptoms (Hamilton Anxiety Rating Scale > 10 points); 2) sign informed consent. Variables collected: 1) anxiety; 2) depression (Beck Depression Inventory); 3) quality of life (EuroQoL [EQ-5D]) and 4) adherence to the intervention. The intervention (9 weekly sessions; 75 minutes) was carried out by two nurses. Each group consisted of 10-15 patients. Results: 128 patients were included, of which 103 were women with a mean age of 52.23 years (SD 12.78). Comparisons pre and post measures, its showed improvements in relation to anxiety, depressive symptoms and general quality of life (p<0.001) and in its dimensions of anxiety-depression (EQ-5D) (p=0.003). The mean number of sessions attended was 6.17 (SD 2.31), and they were statistically significant and positively correlated with an improvement in anxiety (p<0.001) and depressive symptoms (p=0.021). There were no differences between age groups. Conclusion: The intervention group based on Mindfulness improves anxiety and depressive symptoms, as well as the quality of life. This improvement in the symptomatology is associated with a greater adherence to the intervention.(AU)

Clinical Evaluation of an Artificial Intelligence-Based Decision Support System for the Diagnosis and American College of Radiology Thyroid Imaging Reporting and Data System Classification of Thyroid Nodules.

Background: This study aimed to evaluate the clinical impact of an artificial intelligence (AI)-based decision support system (DSS), Koios DS, on the analysis of ultrasound imaging and suspicious characteristics for thyroid nodule risk stratification. Methods: A retrospective ultrasound study was conducted on all thyroid nodules with histological findings from June 2021 to December 2022 in a thyroid nodule clinic. The diagnostic performance of ultrasound imaging was evaluated by six readers on the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) before and after the use of the AI-based DSS and by AI itself. Results: A total of 172 patients (83.1% women) with a mean age of 52.3 ± 15.3 years were evaluated. The mean maximum nodular diameter was 2.9 ± 1.2 cm, with 11.0% being differentiated thyroid carcinomas. Among the nodules initially classified as ACR TI-RADS 3 and 4, AI reclassified 81.4% and 24.5% into lower risk categories, respectively. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic performance of the readers and the AI-based DSS versus histological diagnosis. There was an increase in the area under the ROC curve (AUROC) after the use of AI (0.776 vs. 0.817, p < 0.001). The AI-based DSS improved the mean sensitivity (Sens) (82.3% vs. 86.5%) and specificity (Spe) (38.3% vs. 54.8%), produced a high negative predictive value (94.5% vs. 96.4%), and increased the positive predictive value (PPV) (14.0% vs. 16.1%) and diagnostic precision (43.0% vs. 49.3%). Based on the ACR TI-RADS score, there was significant improvement in interobserver agreement after the use of AI (r = 0.741 for ultrasound imaging alone vs. 0.981 for ultrasound imaging and the AI-based DSS, p < 0.001). Conclusions: The use of an AI-based DSS was associated with overall improvement in the diagnostic efficacy of ultrasound imaging, based on the AUROC, as well as an increase in Sens, Spe, negative and PPVs, and diagnostic accuracy. There was also a reduction in interobserver variability and an increase in the degree of concordance with the use of AI. AI reclassified more than half of the nodules with intermediate ACR TI-RADS scores into lower risk categories.

Evaluation of a group intervention based on Mindfulness in patients with anxiety and depression cared for in mental health community center: a quasy-experimental study.

OBJECTIVE: To evaluate the effectiveness a group intervention based on Mindfulness in patients with anxiety and depression treated in a community mental health center. Secondarily, evaluate quality of life and adherence to the intervention. METHODS: Quasi-experimental study with evaluations pre-post intervention in people over 18 years of age treated at the Les Corts Adult Mental Health Center (AMHC), Barcelona, between March 2015 and December 2019. INCLUSION CRITERIA: (1) anxiety symptoms (Hamilton Anxiety Rating Scale >10 points); (2) sign informed consent. Variables collected: (1) anxiety; (2) depression (Beck Depression Inventory); (3) quality of life (EuroQoL) and (4) adherence to the intervention. The intervention (9 weekly sessions; 75min) was carried out by two nurses. Each group consisted of 10-15 patients. RESULTS: 128 patients were included, of which 103 were women with a mean age of 52.23 years (SD 12.78). Comparisons pre and post measures, its showed improvements in relation to anxiety, depressive symptoms and general quality of life (p<0.001) and in its dimensions of anxiety-depression (p=0.003). The mean number of sessions attended was 6.17 (SD 2.31), and they were statistically significant and positively correlated with an improvement in anxiety (p<0.001) and depressive symptoms (EQ-5D) (p=0.021). There were no differences between age groups. CONCLUSION: The group intervention based on Mindfulness improves anxiety and depressive symptoms, as well as the quality of life. This improvement in the symptomatology is associated to greater adherence to the intervention.

Plasmon-enhanced multi-photon excited photoluminescence of Au, Ag, and Pt nanoclusters.

In this work, we have studied the multi-photon excited photoluminescence from metal nanoclusters (NCs) of Au, Ag and Pt embedded in Al2O3matrix by ion implantation. The thermal annealing process allows to obtain a system composed of larger plasmonic metal nanoparticles (NPs) surrounded by photoluminescent ultra-small metal NCs. By exciting at 1064 nm, visible emission, ranging from 450 to 800 nm, was detected. The second and fourth-order nature of the multiphoton process was verified in a power-dependent study measured for each sample below the damage threshold. Experiments show that Au and Ag NCs exhibit a four-fold enhanced multiphoton excited photoluminescence with respect to that observed for Pt NCs, which can be explained as a result of a plasmon-mediated near-field process that is of less intensity for Pt NPs. These findings provide new opportunities to combine plasmonic nanoparticles and photoluminescent nanoclusters inside a robust inorganic matrix to improve their optical properties. Plasmon-enhanced multiphoton excited photoluminescence from metal nanoclusters may find potential application as ultrasmall fluorophores in multiphoton sensing, and in the development of solar cells with highly efficient energy conversion modules.

Antepartum Fetal Surveillance and Optimal Timing of Delivery in Diabetic Women: A Narrative Review.

Antepartum fetal surveillance (AFS) is essential for pregnant women with diabetes to mitigate the risk of stillbirth. However, there is still no universal consensus on the optimal testing method, testing frequency, and delivery timing. This review aims to comprehensively analyze the evidence concerning AFS and the most advantageous timing for delivery in both gestational and pregestational diabetes mellitus cases. This review's methodology involved an extensive literature search encompassing international diabetes guidelines and scientific databases, including PubMed, MEDLINE, Google Scholar, and Scopus. The review process meticulously identified and utilized pertinent articles for analysis. Within the scope of this review, a thorough examination revealed five prominent international guidelines predominantly addressing gestational diabetes. These guidelines discuss the utility and timing of fetal well-being assessments and recommendations for optimal pregnancy resolution timing. However, the scarcity of clinical trials directly focused on this subject led to a reliance on observational studies as the basis for most recommendations. Glucose control, maternal comorbidities, and the medical management received are crucial in making decisions regarding AFS and determining the appropriate delivery timing.

Performance of machine-learning approach for prediction of pre-eclampsia in a middle-income country.

OBJECTIVE: Pre-eclampsia (PE) is a serious complication of pregnancy associated with maternal and fetal morbidity and mortality. As current prediction models have limitations and may not be applicable in resource-limited settings, we aimed to develop a machine-learning (ML) algorithm that offers a potential solution for developing accurate and efficient first-trimester prediction of PE. METHODS: We conducted a prospective cohort study in Mexico City, Mexico to develop a first-trimester prediction model for preterm PE (pPE) using ML. Maternal characteristics and locally derived multiples of the median (MoM) values for mean arterial pressure, uterine artery pulsatility index and serum placental growth factor were used for variable selection. The dataset was split into training, validation and test sets. An elastic-net method was employed for predictor selection, and model performance was evaluated using area under the receiver-operating-characteristics curve (AUC) and detection rates (DR) at 10% false-positive rates (FPR). RESULTS: The final analysis included 3050 pregnant women, of whom 124 (4.07%) developed PE. The ML model showed good performance, with AUCs of 0.897, 0.963 and 0.778 for pPE, early-onset PE (ePE) and any type of PE (all-PE), respectively. The DRs at 10% FPR were 76.5%, 88.2% and 50.1% for pPE, ePE and all-PE, respectively. CONCLUSIONS: Our ML model demonstrated high accuracy in predicting pPE and ePE using first-trimester maternal characteristics and locally derived MoM. The model may provide an efficient and accessible tool for early prediction of PE, facilitating timely intervention and improved maternal and fetal outcome. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Eficiencia de un enfoque de aprendizaje automático para la predicción de la preeclampsia en un país de ingresos medios OBJETIVO: La preeclampsia (PE) es una complicación grave del embarazo asociada a morbilidad y mortalidad materna y del feto. Dado que los modelos de predicción actuales tienen limitaciones y pueden no ser aplicables en situaciones con recursos limitados, se propuso desarrollar un algoritmo de aprendizaje automático (AA) que ofrezca una solución con potencial para desarrollar una predicción precisa y eficiente de la PE en el primer trimestre. MÉTODOS: Se realizó un estudio de cohorte prospectivo en Ciudad de México para desarrollar un modelo de predicción de la PE pretérmino (PEp) en el primer trimestre utilizando AA. Para la selección de variables se utilizaron las características maternas y los múltiplos de la mediana (MdM) obtenidos localmente para la presión arterial media, el índice de pulsatilidad de la arteria uterina y el factor de crecimiento placentario sérico. El conjunto de datos se dividió en subconjuntos de datos de entrenamiento, de validación y de test estadístico. Se empleó un método de red elástica para la selección de predictores, y el rendimiento del modelo se evaluó mediante el área bajo la curva de características operativas del receptor (ABC) y las tasas de detección (TD) con tasas de falsos positivos (TFP) del 10%. RESULTADOS: El análisis final incluyó a 3050 mujeres embarazadas, de las cuales 124 (4,07%) desarrollaron PE. El modelo de AA mostró una buena eficiencia, con un ABC de 0,897, 0,963 y 0,778 para la PEp, la PE de aparición temprana (PEat) y cualquier tipo de PE (todas las PE), respectivamente. Las TD con TFP del 10% fueron del 76,5%, 88,2% y 50,1% para la PEp, PEat y todas las PE, respectivamente. CONCLUSIONES: Nuestro modelo de AA demostró una alta precisión en la predicción de la PEp y la PEat utilizando características maternas del primer trimestre y MdM calculados localmente. El modelo puede proporcionar una herramienta eficiente y accesible para la predicción temprana de la PE, facilitando la intervención oportuna y la mejora de los resultados maternos y del feto.

Structural and optical properties of the Agn-tyrosine complexes (n = 3-12): a density functional theory study.

We study the optical properties of Agn (n = 3-12) neutral clusters and their coordination with a tyrosine (Tyr) molecule. A global search strategy coupled with density functional theory (DFT) computations explored the potential energy surface. Adsorption energy calculations predicted that Tyr coordination stabilizes the metal clusters, favouring the Agn-Tyr complexes with an even number of silver atoms. For the Agn low-lying isomers, the general shape and the major transitions of the calculated time dependent-DFT (TD-DFT) absorption spectra align with those of previous reports measured in an argon environment. We use the analysis of non-covalent interactions to identify the specific interactions between each silver cluster and functional groups of Tyr. The TD-DFT absorption spectra for the Agn-Tyr complexes showed that Tyr significantly modifies the optical properties of the coordinated silver clusters and affects the smaller systems to a greater extent. The optical absorption results of the bare Agn clusters and the Agn-Tyr complexes are compared and discussed in detail.

AI-Enhanced Analysis Reveals Impact of Maternal Diabetes on Subcutaneous Fat Mass in Fetuses without Growth Alterations.

Pregnant women with diabetes often present impaired fetal growth, which is less common if maternal diabetes is well-controlled. However, developing strategies to estimate fetal body composition beyond fetal growth that could better predict metabolic complications later in life is essential. This study aimed to evaluate subcutaneous fat tissue (femur and humerus) in fetuses with normal growth among pregnant women with well-controlled diabetes using a reproducible 3D-ultrasound tool and offline TUI (Tomographic Ultrasound Imaging) analysis. Additionally, three artificial intelligence classifier models were trained and validated to assess the clinical utility of the fetal subcutaneous fat measurement. A significantly larger subcutaneous fat area was found in three-femur and two-humerus selected segments of fetuses from women with diabetes compared to the healthy pregnant control group. The full classifier model that includes subcutaneous fat measure, gestational age, fetal weight, fetal abdominal circumference, maternal body mass index, and fetal weight percentile as variables, showed the best performance, with a detection rate of 70%, considering a false positive rate of 10%, and a positive predictive value of 82%. These findings provide valuable insights into the impact of maternal diabetes on fetal subcutaneous fat tissue as a variable independent of fetal growth.

Influential Serum Kinases (Non-sFlt-1) and Phosphatases in Preeclampsia-Systemic Review and Metanalysis.

The early identification of women with an increased risk of preeclampsia (PE) is desirable, but apart from soluble fms-like tyrosine kinase-1 (sFlt-1), few biomarkers have previously been identified as relevant for predicting preeclampsia. Since kinases and phosphatases regulate critical biological processes and previous evidence suggests a potential role of these molecules in preeclampsia, we performed this systematic review and metanalysis. The objective was to determine if there are kinases and phosphatases whose serum levels are different between women with and without PE, being relevant biomarkers of PE. We followed the recommendations of Cochrane and the Preferred Reported Items for Systematic Reviews and Metanalysis (PRISMA) to perform this study. The MESH terms preeclampsia, kinases, phosphatases, angiopoietins, soluble tyrosine protein kinase receptor (sTIE2), and cellular-mesenchymal-epithelial transition factor (c-MET) were combined to find relevant articles in the PubMed, PROSPERO, and Cochrane databases. Then, a qualitative and quantitative analysis was performed in R Studio software. From 580 abstracts identified, 37 were included in the final analysis, which comprised 24,211 pregnant women (2879 with PE and 21,332 women without PE [HP]. The pooled analysis showed that serum creatine kinase (CK) (SMD: 2.43, CI 95% 0.25-4.62) was significantly higher in PE, whereas sTIE2 and anti-angiogenic factor soluble c-Met (sMet)were significantly lower in PE than in HP (SMD: -0.23, CI95% -0.37 to -0.09; and SMD:0.24, CI95% 0.01-0.47, respectively). Adenosine monophosphate-activated protein kinase (AMPK), angiopoietin-1 (ANG-1), angiopoietin-2 (ANG-2), the ratio angiopoietin-1/angiopoietin-2, acid phosphatase, and alkaline phosphatase were not different between women with PE and HP. In summary CK, sTIE2, and c-MET are relevant biomarkers of PE. It is desirable to incorporate them into current models for PE prediction to evaluate their utility as biomarkers.

Improvement of photocatalytic activity in the degradation of 4-chlorophenol and phenol in aqueous medium using tin-modified TiO2 photocatalysts.

In this work, we present the synthesis of TiO2 photocatalysts modified with different % mol of tin using the sol-gel method. The materials were characterized using different analytical techniques. The Rietveld refinement, XPS, Raman and UV-Vis techniques confirm the substitution of tin in the TiO2 structural lattice due to changes in crystal lattice parameters, the low-energy shift of the Sn 3d5/2 orbital, generation of oxygen vacancies and the decreased band gap and increased BET surface area. The material with 1 mol% tin shows superior catalytic activity compared to the references for the degradation of 40 ppm 4-chlorophenol (3 hours of reaction) and 50 ppm phenol (6 hours of reaction). Reactions fit pseudo first order kinetics in both instances. The increase in photodegradation efficiency was attributed to the generation of energy levels below the TiO2 conduction band caused by the incorporation of 1% mol of tin, oxygen vacancies, and the heterojunction formed between the brookite-anatase-rutile, causing inhibition of the recombination of the electron (e-) and hole (h+) photogenerated species. The easy synthesis, low cost and increased photodegradation efficiency of the photocatalyst with 1 mol% tin have the potential to favor the remediation of recalcitrant compounds in water.

Diagnosis of malnutrition and its relationship with prognosis in hospitalized patients with oncological pathology.

BACKGROUND AND AIMS: Medical oncology inpatients are at a very high risk of malnutrition, and the presence of complications associated with malnutrition is significant in their evolution. It is necessary to have adequate tools in the diagnosis of malnutrition. OBJECTIVES: This study is aimed to assess the nutritional status of cancer inpatients and compare the incidence of complications based on the nutritional diagnosis with different tools. METHODS: An observational, longitudinal, and retrospective study was designed on 149 patients admitted to the Oncology Service who were requested nutritional and medical treatment between January 2014 and June 2017. Epidemiological, clinical, anthropometric, and nutritional data were collected. Nutritional status was assessed using the Mini Nutritional Assessment (MNA), the Malnutrition Universal Screening Tool (MUST), and the Global Leadership Initiative on Malnutrition (GLIM) criteria. RESULTS: The age of the patients was 61.61 (15.96) years. 67.8% of the patients were men. Most of the patients were in advanced tumor stages (stage III (15.3%); stage IV (77.1%)). The median of the MUST was 2 (0-3) (High risk: 83 (55.7%)). The median MNA was 17 (14-20) (poor nutritional status: 65 (43.6%); risk of malnutrition 71 (47.7%)). According to the GLIM criteria, 115 (77.2%) had malnutrition, and 97 (65.1%) had severe malnutrition. According to MNA, an increase in mortality was observed (MNA <17: 24.6% vs. MNA >17: 7.9%; pvalue <0.01). Multivariate analysis showed that poor nutritional status measured with MNA is related to an increased probability of mortality regardless of the stage of the disease and the patient's age OR: 4.19 95% CI (1.41-12.47); p-value = 0.02. CONCLUSIONS: Malnutrition among cancer patients in whom a nutritional assessment is requested during admission is very high. In hospitalized patients with oncological pathology, it was observed that malnutrition measured by MNA acts as a mortality risk factor.

Anisotropic behavior of mechanical properties for thea- andc-domains in a (001) BaTiO3single crystal.

Barium titanate (BaTiO3) single crystal with a tetragonal phase was characterized by nanoindentation. Elastic and elastic-plastic deformation regimes were obtained. The main objective was the evaluation of the anisotropic behavior related to mechanical properties associated with the cross-section of the ferroelectrica- andc-domains (In-plane and out-of-plane) in (001) configuration domains. This behavior was evaluated along a line perpendicular to the between domains, which demonstrated that the mechanical properties of the BaTiO3single crystal depend on the distance from due to the effect of the influence of the neighbor domain. A three-dimensional (3D) finite element (FE) model was developed to simulate mechanical effects revealed by the nanoindentations test. The FE simulation demonstrated that there is no simple isotropic mechanical behavior associated with the domain type. Numerical simulations and experiments performed to study ferroelastic switching domains in BaTiO3crystals revealed the interaction of the 90°-cadomain with the indentation position.