Publications by authors named "Mario Gonzalez-Jimenez"

Article Synopsis
  • The study aims to improve malaria detection by using mid-infrared spectroscopy combined with machine learning to accurately identify infections from dried blood spots without needing expensive reagents.
  • Plasmodium falciparum strains were mixed with blood from malaria-free individuals to create various blood samples with different levels of malaria and anaemia, which were analyzed using advanced machine learning classifiers.
  • The AI classifiers achieved over 90% accuracy in detecting low levels of malaria infections, surpassing traditional diagnostic methods like rapid diagnostic tests (RDTs) and microscopy.
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Field-derived metrics are critical for effective control of malaria, particularly in sub-Saharan Africa where the disease kills over half a million people yearly. One key metric is entomological inoculation rate, a direct measure of transmission intensities, computed as a product of human biting rates and prevalence of Plasmodium sporozoites in mosquitoes. Unfortunately, current methods for identifying infectious mosquitoes are laborious, time-consuming, and may require expensive reagents that are not always readily available.

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Article Synopsis
  • Researchers studied how much Anopheles mosquitoes prefer biting humans to predict malaria risk.
  • They used a new method called mid-infrared spectroscopy and machine learning to quickly check the blood meals of these mosquitoes collected in Tanzania.
  • The new technique was found to be accurate and could help monitor malaria more easily and cheaply compared to traditional methods.
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Background: Accurately determining the age and survival probabilities of adult mosquitoes is crucial for understanding parasite transmission, evaluating the effectiveness of control interventions and assessing disease risk in communities. This study was aimed at demonstrating the rapid identification of epidemiologically relevant age categories of Anopheles funestus, a major Afro-tropical malaria vector, through the innovative combination of infrared spectroscopy and machine learning, instead of the cumbersome practice of dissecting mosquito ovaries to estimate age based on parity status.

Methods: Anopheles funestus larvae were collected in rural south-eastern Tanzania and reared in an insectary.

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Water plays a role in the stability, reactivity, and dynamics of the solutes that it contains. The presence of ions alters this capacity by changing the dynamics and structure of water. However, our understanding of how and to what extent this occurs is still incomplete.

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On supercooling a liquid, the viscosity rises rapidly until at the glass transition it vitrifies into an amorphous solid accompanied by a steep drop in the heat capacity. Therefore, a pure homogeneous liquid is not expected to display more than one glass transition. Here we show that a family of single-component homogeneous molecular liquids, titanium tetraalkoxides, exhibit two calorimetric glass transitions of comparable magnitude, one of which is the conventional glass transition associated with dynamic arrest of the bulk liquid properties, while the other is associated with the freezing out of intramolecular degrees of freedom.

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Studies on the applications of infrared (IR) spectroscopy and machine learning (ML) in public health have increased greatly in recent years. These technologies show enormous potential for measuring key parameters of malaria, a disease that still causes about 250 million cases and 620,000 deaths, annually. Multiple studies have demonstrated that the combination of IR spectroscopy and machine learning (ML) can yield accurate predictions of epidemiologically relevant parameters of malaria in both laboratory and field surveys.

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Mid-infrared spectroscopy (MIRS) combined with machine learning analysis has shown potential for quick and efficient identification of mosquito species and age groups. However, current technology to collect spectra is destructive to the sample and does not allow targeting specific tissues of the mosquito, limiting the identification of other important biological traits such as insecticide resistance. Here, we assessed the use of a non-destructive approach of MIRS for vector surveillance, micro diffuse reflectance spectroscopy (µDRIFT) using mosquito legs to identify species, age and cuticular insecticide resistance within the Anopheles gambiae s.

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Nitroso-compounds are potentially mutagenic and carcinogenic compounds due to their ability to alkylate DNA bases. One of the most common sources of human exposure to nitroso-compounds is their formation in the acidic environment of the stomach by the reaction between electron-rich molecules present in the lumen and sodium nitrite ingested in the diet. To date, the formation of nitroso-compounds by the reaction of nitrite with food components has been investigated in depth, but little attention has been paid to substances secreted in the stomach, such as dopamine or serotonin, whose reaction products with nitrite have proven mutagenic properties.

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Article Synopsis
  • The "boson peak" is a phenomenon in glasses tied to excess heat capacity and terahertz vibrations, with unclear origins, possibly linked to locally ordered structures.
  • Through depolarised Raman scattering, researchers can observe the boson peak in liquids of symmetric molecules, showing its correlation with heat capacity changes.
  • Cooling increases the boson peak's intensity, revealing molecular clusters of about 20 molecules, driven by over-coordinated molecules, advancing our understanding of vitrification physics.
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Background: Old mosquitoes are more likely to transmit malaria than young ones. Therefore, accurate prediction of mosquito population age can drastically improve the evaluation of mosquito-targeted interventions. However, standard methods for age-grading mosquitoes are laborious and costly.

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Reflection is one of the most fundamental properties of light propagation. The ability to engineer this property can be a powerful tool when constructing a variety of now ubiquitous optical and electronic devices, including one-way mirrors and antennas. Here, we show from both experimental and theoretical evidence that highly asymmetric reflection can be induced in reciprocal hyperbolic materials.

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The malaria parasite, which is transmitted by several Anopheles mosquito species, requires more time to reach its human-transmissible stage than the average lifespan of mosquito vectors. Monitoring the species-specific age structure of mosquito populations is critical to evaluating the impact of vector control interventions on malaria risk. We present a rapid, cost-effective surveillance method based on deep learning of mid-infrared spectra of mosquito cuticle that simultaneously identifies the species and age class of three main malaria vectors in natural populations.

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Low-frequency vibrations play an essential role in biomolecular processes involving DNA such as gene expression, charge transfer, drug intercalation, and DNA-protein recognition. However, understanding the vibrational basis of these mechanisms relies on theoretical models due to the lack of experimental evidence. Here we present the low-frequency vibrational spectra of G-quadruplexes (structures formed by four strands of DNA) and B-DNA characterized using femtosecond optical Kerr-effect spectroscopy.

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Molecular liquids have long been known to undergo various distinct intermolecular motions, from fast librations and cage-rattling oscillations to slow orientational and translational diffusion. However, their resultant gigahertz to terahertz spectra are far from simple, appearing as broad shapeless bands that span many orders of magnitude of frequency, making meaningful interpretation troublesome. spectral line shape fitting has become a notoriously fine art in the field; a unified approach to handling such spectra is long overdue.

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Liquid-liquid transitions between two amorphous phases in a single-component liquid have courted controversy. All known examples of liquid-liquid transitions in molecular liquids have been observed in the supercooled state, suggesting an intimate connection with vitrification and locally favored structures inhibiting crystallization. However, there is precious little information about the local molecular packing in supercooled liquids, meaning that the order parameter of the transition is still unknown.

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Despite the global efforts made in the fight against malaria, the disease is resurging. One of the main causes is the resistance that mosquitoes, vectors of the disease, have developed to insecticides. must survive for at least 10 days to possibly transmit malaria.

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Article Synopsis
  • This study explored a new method for rapid malaria screening using mid-infrared (MIR) spectroscopy combined with machine learning, instead of traditional techniques like microscopy or PCR.
  • Researchers analyzed dried blood spots from individuals in Tanzania to train machine learning models, specifically focusing on distinguishing malaria-positive cases from negative ones.
  • The findings revealed that logistic regression was the most effective model, achieving high accuracy rates (92%) for identifying Plasmodium falciparum infections, suggesting MIR-ML could be a viable alternative for malaria detection in the field.
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Background: The propensity of different Anopheles mosquitoes to bite humans instead of other vertebrates influences their capacity to transmit pathogens to humans. Unfortunately, determining proportions of mosquitoes that have fed on humans, i.e.

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Objective: Determinate the frequency and the risk factors for Metabolic Syndrome in adults with diabetes mellitus, Hypertension and without Diabetes- Hypertension.

Materials And Methods: We realized a cross-sectional study in patients of both sexes and older than 20 years of the "Hospital General de Zona 1 IMSS" in Colima, Mexico. The variables studied were: age, BMI, waist circumference, cigarette smoking, and family history of diabetes and hypertension, and biochemical parameters, such as glucose, HDL cholesterol and triglycerides.

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Water dynamics in the solvation shell of solutes plays a very important role in the interaction of biomolecules and in chemical reaction dynamics. However, a selective spectroscopic study of the solvation shell is difficult because of the interference of the solute dynamics. Here we report on the observation of heavily slowed down water dynamics in the solvation shell of different solutes by measuring the low-frequency spectrum of solvation water, free from the contribution of the solute.

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Gigahertz- to terahertz-frequency infrared and Raman spectra contain a wealth of information concerning the structure, intermolecular forces, and dynamics of ionic liquids. However, these spectra generally have a large number of contributions ranging from slow diffusional modes to underdamped librations and intramolecular vibrational modes. This makes it difficult to isolate effects such as the role of Coulombic and hydrogen-bonding interactions.

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Changes in the structural and solvation dynamics of a 15mer AT DNA duplex upon melting of the double-helix are observed by a combination of ultrafast two-dimensional infrared (2D-IR) and optical Kerr-effect (OKE) spectroscopies. 2D-IR spectroscopy of the vibrational modes of the DNA bases reveal signature off-diagonal peaks arising from coupling and energy transfer across Watson-Crick paired bases that are unique to double-stranded DNA (ds-DNA). Spectral diffusion of specific base vibrational modes report on the structural dynamics of the duplex and the minor groove, which is predicted to contain a spine of hydration.

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Frustration of crystallisation by locally favoured structures is critically important in linking the phenomena of supercooling, glass formation, and liquid-liquid transitions. Here we show that the putative liquid-liquid transition in n-butanol is in fact caused by geometric frustration associated with an isotropic to rippled lamellar liquid-crystal transition. Liquid-crystal phases are generally regarded as being "in between" the liquid and the crystalline state.

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