Instituto y no hospital. La distintiva organización que Ignacio Chávez concibió para combatir integralmente a las enfermedades del corazón en México. En el octogésimo aniversario del Instituto Nacional de Cardiología.

In 1936, Ignacio Chávez submitted a proposal to the Mexican government for the creation of a cardiology institute. He had studied in Paris, Berlin, and other European cities in 1926. Upon his return to Mexico, he founded the Cardiology Service at the General Hospital in Mexico City, the first of its kind in the country.

Water demand forecasting in multiple district metered areas based on a multi-scale correction module neural network architecture.

Short-term water demand forecasting (STWDF) for multiple spatially and temporally correlated District Metering Areas (DMAs) is an essential foundation for achieving more refined management of urban water supply networks. However, due to the greater uncertainty associated with specific DMA demand compared to overall water usage, accurately predicting STWDF poses significant challenges. This study introduces an innovative network architecture-the multi-scale correction module neural network, built upon Long Short-Term Memory (LSTM) networks and Convolutional Neural Networks (CNN) enhanced with Attention mechanisms-for simultaneous STWDF with a temporal resolution of one hour over a week for 10 DMAs located in a single city in northern Italy.

Resin monomers induce apoptosis of the pulp-dentin complex through the mitochondrial pathway.

Numerous studies have confirmed that the apoptosis induced by the methacrylate resin monomers triethyleneglycol-dimethacrylate (TEGDMA), 2-hydroxy ethyl methacrylate (HEMA), etc., in pulp cells and odontoblast-like cells is caused mainly by oxidative stress (OS). Reactive oxygen species (ROS), recognized as the most important risk factor for apoptosis in cells of the pulp-dentin complex, are produced mainly via the mitochondrial respiratory chain.

[Use of clinical ultrasound in primary care: Dyspnea].

Dyspnea is a symptom frequently consulted in primary care and has a wide range of etiologies (respiratory, cardiovascular, obesity, etc.). It causes 3-4 million emergency consultations per year.

[Use of clinical ultrasound in Primary Care: Lynphadenopathy].

Lymphadenopathy is the alteration in the consistency or size of a lymph node. It is often associated with benign diseases, although factors such as gender, location, comorbidities, and the patient's age can increase the percentage of malignancy. Infections, tumors, and systemic diseases are its most common causes.

[Poorer countries have more pro-breastfeeding actions than rich countries: ecological study of 98 countries].

This study aimed to verify the association between gross domestic product values - purchasing power parity (GDP PPP) and scores of the World Breastfeeding Trends Initiative (WBTi) tool. This is an ecological study carried out with 98 low-income (n = 43), middle-income (n = 27), and high-income (n = 28) countries. The evaluation of pro-breastfeeding actions was obtained from the WBTi and the GDP PPP from the World Bank.

Lubricating and Dual-Responsive Injectable Hydrogels Formulated From ZIF-8 Facilitate Osteoarthritis Treatment by Remodeling the Microenvironment.

Osteoarthritis (OA) is a progressively developing condition primarily characterized by the deterioration of articular cartilage and the proliferation of bone, along with ongoing inflammation. Although the precise pathogenesis remains somewhat elusive, restoring the homeostatic balance of the intra-articular microenvironment is crucial for the management of OA. Intra-articular injection of medication is one of the most direct and effective treatment methods; however, most injectable drugs used for osteoarthritis treatment, due to their rapid breakdown, quick release, poor biological activity, and frequent injections, leading to increased risk of infection and suboptimal therapeutic outcomes.

Controllable All-in-One Biomimetic Hollow Nanoscaffold Initiating Pyroptosis-Mediated Antiosteosarcoma Targeted Therapy and Bone Defect Repair.

Pyroptosis has gained attention for its potential to reinvigorate the immune system within the tumor microenvironment. However, current approaches employing pyroptosis inducers suffer from limitations. They primarily rely on single agents, lack precise targeting, and potentially disrupt the intricate bone formation microenvironment, hindering local repair of tumor-induced bone defects.

Characteristics and health conditions in older people who work in Mexico. A comparative analysis between cohorts and sex.

Background: The study of the work and health of older adults is limited but relevant considering that the living and health conditions in which they age are not the best in Mexico, given the job insecurity that does not access to decent contributory pensions.

Objective: To analyse the differences in the sociodemographic, labour and health conditions characteristics of two cohorts of older people aged 65 to 74 years who are employed in the labour market.

Material And Methods: Analysis of the National Study of Health and Aging in Mexico for 2001 and 2021 of sociodemographic and work characteristics and health conditions by cohort and sex.

Critical Assessment of Clean-up Procedures Used for Gas Chromatography-Mass Spectrometry Analysis of Pesticide Residues in Cannabis Inflorescence.

Accurate analysis of pesticide residues in such a complex matrix as cannabis is a challenging task. The aim of this study was to find an optimal way of removing abundant matrix co-extracts from Quick, Easy, Cheap, Effective, Rugged, and Safe extract prior to its analysis by gas chromatography-tandem mass spectrometry (GC-MS/MS). Out of the seven procedures tested, clean-up with Supel QuE Verde sorbent provided the most satisfactory performance characteristics for 277 targeted pesticides, which is the highest number of these analytes ever investigated within a GC-MS-based study focused on cannabis.

A Lightweight, Centralized, Collaborative, Truncated Signed Distance Function-Based Dense Simultaneous Localization and Mapping System for Multiple Mobile Vehicles.

Simultaneous Localization And Mapping (SLAM) algorithms play a critical role in autonomous exploration tasks requiring mobile robots to autonomously explore and gather information in unknown or hazardous environments where human access may be difficult or dangerous. However, due to the resource-constrained nature of mobile robots, they are hindered from performing long-term and large-scale tasks. In this paper, we propose an efficient multi-robot dense SLAM system that utilizes a centralized structure to alleviate the computational and memory burdens on the agents (i.

Role of Paraoxonase 2 in Airway Epithelial Response to Oxidant Stress.

Asthma is a widespread chronic lung disease characterized by airway inflammation and hyperresponsiveness. This airway inflammation is classified by either the presence (T2-high) or absence (T2-low) of high levels of eosinophils. Because most therapies for asthma target eosinophils and related pathways, treatment options for T2-low disease are limited.

Machine-Learning-Based Predictive Model for Bothersome Stress Urinary Incontinence Among Parous Women in Southeastern China.

Introduction And Hypothesis: Accurate identification of female populations at high risk for urinary incontinence (UI) and early intervention are potentially effective initiatives to reduce the prevalence of UI. We aimed to apply machine-learning techniques to establish, internally validate, and provide interpretable risk assessment tools.

Methods: Data from a cross-sectional epidemiological survey of female urinary incontinence conducted in 2022 were used.

Automatic identification of clinically important species by artificial intelligence-based image recognition: proof-of-concept study.

While morphological examination is the most widely used for identification in clinical laboratories, PCR-sequencing and MALDI-TOF MS are emerging technologies in more financially-competent laboratories. However, mycological expertise, molecular biologists and/or expensive equipment are needed for these. Recently, artificial intelligence (AI), especially image recognition, is being increasingly employed in medicine for fast and automated disease diagnosis.