Open-source Internet of Things (IoT)-based air pollution monitoring system with protective case for tropical environments.

In recent years, the escalation of industrial activities has significantly increased natural resource pollution, with air pollution becoming a major cause of diseases affecting living organisms. To address this critical environmental challenge, this study proposes a comprehensive air pollution monitoring system utilizing advanced technological instruments based on the Internet of Things (IoT). The system's primary objective is to provide precise, rapid, and efficient measurements, enabling detailed examinations of pollutant behaviors and facilitating data dissemination.

Invariant and suboptimal trajectories of self-regulated learning during secondary school: implications focused on quality in higher education.

It has been shown that self-regulation of learning is a key variable for an adequate transition and adjustment from secondary school to tertiary education, and it is also associated with successful academic results; therefore, it is relevant to analyze its levels of development in the pre-university stage. The aim of this research was to evaluate the trajectories of self-regulation of learning in secondary school students. The method considered a longitudinal design and included a sample of 403 students from 9 to 12 grade in Chile.

Latent Microsporidia Infection Prevalence as a Risk Factor in Colon Cancer Patients.

Microsporidia are opportunistic intracellular parasites, generating serious pathology in individuals with a compromised immune system. Infection by microsporidia inhibits p53 and Caspase 3, proteins involved in apoptosis and the cell cycle, which are vital in the malignant process of epithelial cells. The presence of microsporidia in the intestinal tissues of 87 colon cancer (CC) patients and 25 healthy controls was analyzed by real-time PCR and an immunofluorescence antibody test.

Association of Porcine Swine Leukocyte Antigen (SLA) Haplotypes with B- and T-Cell Immune Response to Foot-and-Mouth Disease Virus (FMDV) Peptides.

Dendrimer peptides are promising vaccine candidates against the foot-and-mouth disease virus (FMDV). Several B-cell epitope (BT) dendrimers, harboring a major FMDV antigenic B-cell site in VP1 protein, are covalently linked to heterotypic T-cell epitopes from 3A and/or 3D proteins, and elicited consistent levels of neutralizing antibodies and IFN-γ-producing cells in pigs. To address the contribution of the highly polymorphic nature of the porcine MHC (SLA, swine leukocyte antigen) on the immunogenicity of BT dendrimers, low-resolution (Lr) haplotyping was performed.

Coin.AI: A Proof-of-Useful-Work Scheme for Blockchain-Based Distributed Deep Learning.

One decade ago, Bitcoin was introduced, becoming the first cryptocurrency and establishing the concept of "blockchain" as a distributed ledger. As of today, there are many different implementations of cryptocurrencies working over a blockchain, with different approaches and philosophies. However, many of them share one common feature: they require proof-of-work to support the generation of blocks (mining) and, eventually, the generation of money.

Synthetic and real data sets for benchmarking non-cryptographic hash functions.

The overall assessment of non-cryptographic functions is very complex and there is not a widely used benchmark. These data have been collected and created as a benchmark for testing non-cryptographic hash functions. It is made up of eight dataset which comes from two different groups, real and synthetic data sources.

Assisting Visually Impaired People in the Public Transport System through RF-Communication and Embedded Systems .

For a significant number of people with visual impairments, public transport plays an important role in productivity, community participation, and independence, since it may be the only feasible mobility option to participate in their education, work, medical care, food, and to attend many other places in their community. To use the public bus system safely, effectively, and autonomously, these people need to collect information about their physical environment and visible information at stops and terminals, such as timetables, routes, etc. Unfortunately, most people who are blind or visually impaired experience difficulties in getting on the right bus or getting off at the right destination.

A Comparison of Machine Learning and Deep Learning Techniques for Activity Recognition using Mobile Devices.

We have compared the performance of different machine learning techniques for human activity recognition. Experiments were made using a benchmark dataset where each subject wore a device in the pocket and another on the wrist. The dataset comprises thirteen activities, including physical activities, common postures, working activities and leisure activities.

Evolutionary Design of Convolutional Neural Networks for Human Activity Recognition in Sensor-Rich Environments.

Human activity recognition is a challenging problem for context-aware systems and applications. It is gaining interest due to the ubiquity of different sensor sources, wearable smart objects, ambient sensors, etc. This task is usually approached as a supervised machine learning problem, where a label is to be predicted given some input data, such as the signals retrieved from different sensors.

Internet Use and Psychological Well-Being at Advanced Age: Evidence from the English Longitudinal Study of Aging.

This work explores the connection between psychological well-being and Internet use in older adults. The study is based on a sample of 2314 participants in the English Longitudinal Study of Aging. The subjects, aged 50 years and older, were interviewed every two years over the 2006-2007 to 2014-2015 period.

A Comparison Study of Classifier Algorithms for Cross-Person Physical Activity Recognition.

Physical activity is widely known to be one of the key elements of a healthy life. The many benefits of physical activity described in the medical literature include weight loss and reductions in the risk factors for chronic diseases. With the recent advances in wearable devices, such as smartwatches or physical activity wristbands, motion tracking sensors are becoming pervasive, which has led to an impressive growth in the amount of physical activity data available and an increasing interest in recognizing which specific activity a user is performing.

Errors and their mitigation at the kirchhoff-law-johnson-noise secure key exchange.

A method to quantify the error probability at the Kirchhoff-law-Johnson-noise (KLJN) secure key exchange is introduced. The types of errors due to statistical inaccuracies in noise voltage measurements are classified and the error probability is calculated. The most interesting finding is that the error probability decays exponentially with the duration of the time window of single bit exchange.

Very small size proteoliposomes (VSSP) and Montanide combination enhance the humoral immuno response in a GnRH based vaccine directed to prostate cancer.

Very small size proteoliposomes (VSSP) constitute a complex of very small size proteoliposomes that includes proteins, lipids, CpG and gangliosides tumor-associated that provides a potential target for cancer immunotherapy. This compound has been described to stimulate the humoral and cellular response, dendritic cells (DC) activation and differentiation of T-helper cells, specially, in immunocompromised patients with cancer status. This work deals with the stimulating capacity of the VSSP to reach a humoral response when they are used as a component in a peptidic vaccine based on the gonadotrophin releasing hormone (GnRH).

[A survey about the competences required by primary health physicians in Chile].

Background: Primary health care is considering the cornerstone of health care in Chile. Its efficiency is strongly influenced by the quality and competences of physicians that are responsible for health care at this level.

Aim: To define the features and competences that should have primary care physicians.

[Lipoprotein (a), D-Dimer and apolipoprotein A1 as markers of presence and severity of coronary disease].

Background And Objective: To examine the relationship between blood levels of lipids as well as haemostatic and inflammatory markers and the presence and severity of angiographically-evaluated coronary stenosis.

Material And Method: We included 897 patients (629 males and 268 females), aged 65.12+/-11.

Acute versus chronic myocardial ischemia: a differential biological profile study.

Objective: To determine the possible differences in lipid, thrombogenic and inflammatory marker concentrations and the presence of chronic and acute coronary artery disease (stable and unstable angina, respectively), comparing them with a group of control patients with normal coronary arteries.

Material And Methods: This prospective cohort study included 125 patients with unstable angina, 189 with stable angina and a control group of 83 patients with normal coronary arteries. Marker concentrations were measured in all 3 groups.

[Predictive value of lipoprotein (a) and apolipoprotein A1 in patients with angiographycally evaluated coronary stenosis].

Background And Objective: To examine the relationship between blood levels of lipids, hemostatic and inflammatory markers and the presence of angiographycally evaluated coronary stenosis.

Patients And Method: We included 397 consecutive patients (267 males and 130 females) who were admitted to the hospital because of an acute episode of chest pain. Each patient underwent a coronariography using the Seldinger technique.

Prevalence and biologic profile of aspirin resistance in patients with angiographically proven coronary artery disease.

Background: Aspirin protects from cardiovascular events. However, a number of patients who take this drug suffer events, probably due to aspirin resistance. The role of certain biologic variables that may affect resistance is still uncertain.

Association between inflammation, lipid and hemostatic factors in patients with stable angina.

Introduction: Dyslipidemia and thrombotic processes are both clearly involved in atherogenesis and its secondary complications. Moreover, inflammation has also been shown to play an important role in the pathophysiology of atherosclerosis. Our objective was to determine the association between inflammation, lipids and thrombosis in a group of patients with stable angina.

Calcium-independent phospholipase A2 is required for lysozyme secretion in U937 promonocytes.

As a part of their surveillance functions in the immune system, monocytes/macrophages secrete large amounts of the bactericidal enzyme lysozyme to the extracellular medium. We report here that lysozyme secretion in activated U937 promonocytes depends on a functional calcium-independent phospholipase A(2) (iPLA(2)). Inhibition of the enzyme by bromoenol lactone or by treatment with a specific antisense oligonucleotide results in a diminished capacity of the cells to secrete lysozyme to the extracellular medium.

Effects of triflusal in patients with prosthetic heart valves.

The biological effects of a new antiplatelet agent, triflusal, were evaluated in patients with cardiac valvular prostheses. Each patient received 900 mg/day of oral triflusal for 30 days. Triflusal significantly inhibited platelet aggregation induced by adenosine diphosphate (1 to 5 mumol) or epinephrine (12.