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Danzas eslavas
No full textLa muerte repentina del abuelo y el hallazgo de una carta entre sus pertenencias, son los elementos que un nieto necesita para reconstruir los pasos de su abuelo por las calles de la República Checa
Sistema para Evaluar el Estrés del Retículo Endoplásmico en Apis mellifera
No full textThe honey bee (Apis mellifera) population suffers a worldwide decrease due to diverse stress
factors, as parasitosis by Varroa destructor. Knowledge of the regulatory mechanisms
underlying cell stress in A. mellifera, including endoplasmic reticulum stress (ERS), a stress
pathway with pivotal importance and closely related to the unfolded protein response (UPR),
is far from complete. We present here a System for Evaluating Endoplasmic Reticulum Stress
in A. mellifera (SEERSAm), whose aim is to determine if varroa infestation alters ERS and
its related pathways (UPR, autophagy, and apoptosis) in A. mellifera. Primers targeting
ERS/UPR (grp78; atf6; ire1; eif2a; calr; Xbp1; and grp94) and autophagy (atg7) transcripts
were designed and primers targeting apoptosis-related transcripts (Apaf1; bsk; casp3; casp9;
iap; and buffy) were chosen from the literature. Beehives with null-low, medium, and high
V. destructor infestation (according to the method of natural mite mortality) will be sampled.
Total RNA from the fat body of nurse worker bees will be extracted for qPCR with the
corresponding cDNA. The abundance levels of the transcripts of interest will be assessed.
The SEERSAm, currently in progress, will be instrumental to know the molecular regulation
of ERS and its related pathways in the fat body of A. mellifera due to V. destructor infestation
Antibacterial Activity of Superhydrophobic-SiO2 Coatings to Inhibit the Growth of Escherichia coli and Staphylococcus aureus
No full textThe emergence of superhydrophobic antibacterial materials represents a promising approach to maintaining surface cleanliness and hygiene by effectively preventing bacterial adhesion. This research outlines the synthesis of a superhydrophobic coating with anti-adhesion and bacteriostatic properties, utilizing silica nanoparticles (SiO2 NPs) modified with 1H,1H,2H,2HPerfluorodecyltriethoxysilane (PFDTES). Transmission electron microscopy (TEM), X-ray diffraction (XRD), energy-dispersive X-ray spectroscopy (EDS), scanning electron microscopy (SEM), and Fouriertransform infrared (FTIR) spectroscopy were conducted to analyze the coating’s morphology and surface characteristics. The coating was applied to glass substrates using the spray coating method, and the number of layers was varied to evaluate its antibacterial and bacteriostatic properties. These
properties were measured using turbidimetry and inhibition halo techniques. Additionally, the durability of the coatings was assessed by exposing them to outdoor conditions for 35 days. This study aimed to evaluate the antibacterial and bacteriostatic capacities of the superhydrophobic coating, along with its resistance to outdoor weathering. The results indicate that a superhydrophobic coating with a contact angle ≥ 150◦ and a sliding angle ≤ 10◦ was successfully synthesized using SiO2 NPs smaller than 10 nm, modified with PFDTES. The coating demonstrated an ability to inhibit bacterial growth by preventing the adhesion of bacteria such as Escherichia coli and Staphylococcus aureus. Furthermore, the number of coating layers significantly influenced its bacteriostatic efficacy. The coating also exhibited strong durability under outdoor conditions. These findings highlight the potential application of superhydrophobic coatings for the prevention of bacterial adhesion and growth in environments where such contamination poses risks
La salud emocional de las estudiantes universitarias que llevan a cabo múltiples jornadas. Una investigación en los departamentos de Ingeniería Industrial y Manufactura y Eléctrica y Computación de la Universidad Autónoma de Ciudad Juárez, Chihuahua, México
No full textEste capítulo presenta parte de los resultados de la investigación en red denominada “La salud emocional de las estudiantes universitarias que llevan a cabo múltiples jornadas”, dirigida por la Red Latinoamericana en Estudios de Género, RELEG, referentes a la salud emocional de las estudiantes universitarias que ejercen diversas jornadas de los Departamentos de Ingeniería Industrial y Manufactura y Eléctrica y Computación de la Universidad Autónoma de Ciudad Juárez, Chihuahua, México. La importancia de este estudio se desprende de la cada vez más relevante participación de la mujer en la esfera pública, privada y doméstica, a consecuencia de la cual se ve
involucrada en una multiplicidad de actividades; por tanto, resulta de gran pertinencia estudiar la salud emocional de estas estudiantes y su impacto en su vida diaria. Los principales hallazgos del presente caso de estudio revelan que las entrevistadas desempeñan 3.41 jornadas en promedio, a las cuales dedican 31.74 horas semanales, esto ha generado que cuenten con pocas horas para dormir, en las que la mayoría no descansa. En consecuencia, se ha visto afectado su desempeño académico
con problemas para concentrarse y somnolencia; han experimentado situaciones de estrés a causa del contexto académico y laboral en forma de dolor y síntomas físicos, así como rumiación del pensamiento. Estas situaciones también han generado cambios en su ánimo, pues a pesar de que la mayoría trata de mantenerse alegre, las entrevistadas expresaron que con frecuencia se sienten irritables y enojadas
Noninvasive system for weight estimation in cactus crops: A YOLOv5-decision tree approach based on interval type-2 fuzzy sets
No full texthttps://www.sciencedirect.com/science/article/abs/pii/S016974392400004
The Psychometric Properties of the Environmental Worry Index
No full textIntroduction: Environmental-related hazards are a global problem; consequently, an Environmental Worry Index (EWI) was developed; however, the psychometric properties of this scale in the Spanish population are unavailable.
Purpose: The objective of this study was to adapt and examine the psychometric properties of an Environmental Worry Inventory (EWI) in a Spanish-speaking student population.
Methodology: This study adopted a cross-sectional design. It used a snowball sampling technique to collect data using the compact questionnaire comprise of EWI, Climate Anxiety Scale (CAS), and Big Five Inventory (BFI-15) from 251 participants in 2023 among students of Autonomous University of Ciudad Juarez (UACJ), Juarez, Mexico.
Results: Results of exploratory factor analysis (EFA), the Kaiser-Meyer-Olkin (KMO=0.891) and Bartlett's Test of Sphericity (p < 0.001) showed adequate data. Confirmatory factor analysis (CFA; χ2 (5) = 78,595, CFI = 0.94, and RMSEA=0.078) demonstrated adequate goodness of fit. EWI was associated with CAS, and neuroticism dimension of BFI-15. It has an acceptable overall Cronbach Alpha coefficient (α = 0.890); the two subscale factors’ reliability coefficients ranged from .80 to .89.
Conclusion: The study concluded that EWI is reliable, valid and recommended for use among Mexicans especially the Spanish speaking students
Efficient Structural Damage Detection with Minimal Input Data: Leveraging Fewer Sensors and Addressing Model Uncertainties
No full textIn the field of structural damage detection through vibration measurements, most existing
methods demand extensive data collection, including vibration readings at multiple levels, strain
data, temperature measurements, and numerous vibration modes. These requirements result in
high costs and complex instrumentation processes. Additionally, many approaches fail to account
for model uncertainties, leading to significant discrepancies between the actual structure and its
numerical reference model, thus compromising the accuracy of damage identification. This study
introduces an innovative computational method aimed at minimizing data requirements, reducing
instrumentation costs, and functioning with fewer vibration modes. By utilizing information from a
single vibration sensor and at least three vibration modes, the method avoids the need for highermode excitation, which typically demands specialized equipment. The approach also incorporates
model uncertainties related to geometry and mass distribution, improving the accuracy of damage
detection. The computational method was validated on a steel frame structure under various damage
conditions, categorized as single or multiple damage. The results indicate up to 100% accuracy in
locating damage and up to 80% accuracy in estimating its severity. These findings demonstrate the
method’s potential for detecting structural damage with limited data and at a significantly lower cost
compared to conventional techniques
La inteligencia artificial como apoyo en la identificación de ideación suicida en comentarios de texto en español
No full texthttps://smia.mx/komputersapiens/publicaciones.php#KSXVI-
Analysis of safety behaviors in different work contexts in Ciudad Juarez
No full textThis study aims to analyze safety behaviors displayed by workers in different occupational contexts in Northern Mexico. Safety behavior was measured with two dimensions: safety participation and safety compliance, through a previously validated 7-item instrument. Data were collected from a sample of 201 workers working in different employment sectors including automotive, medical, services, and education, among others. No significant differences were identified in safety behaviors exhibited among the different work sectors; however, it is noteworthy that workers in the educational and service sectors are more likely to exhibit better safety behaviors. The work contexts with more risky behaviors are those of the electronics and medical sectors. Moreover, it was found that only a low percentage of workers are aware of working in an unsafe manner. It is recommended to continue analyzing occupational accidents, and their respective associated factors, to use such information for designing preventive safety measures
Estimating forest extent across Mexico
No full textInformation on forest extent and tree cover is required to evaluate the status of natural resources, conservation practices, and environmental policies. The challenge is that different forest definitions, remote sensing-based (RSB) products, and data availability can lead to discrepancies in reporting total forest area. Consequently, errors in forest extent can be propagated into forest biomass and carbon estimates. Here, we present a simple approach to compare forest extent estimates from seven regional and global land or tree cover RSB products at 30 m resolution across Mexico. We found substantial differences in forest extent estimates for Mexico, ranging from 387 607 km2 to 675 239 km2. These differences were dependent on the RSB product and forest definition used. Next, we compared these RSB products with two independent forest inventory datasets at national (n = 26 220 plots) and local scales (n = 754 plots). The greatest accuracy among RSB products and forest inventory data was within the tropical moist forest (range 82%–95%), and the smallest was within the subtropical desert (range <10%–80%) and subtropical steppe ecological zones (range <10%–60%). We developed a forest extent agreement map by combining seven RSB products and identifying a consensus in their estimates. We found a forest area of 288 749 km2 with high forest extent agreement, and 340 661 km2 with medium forest extent agreement. The high-to-medium forest extent agreement of 629 410 km2 is comparable to the official national estimate of 656 920 km2. We found a high forest extent agreement across the Yucatan Peninsula and mountain areas in the Sierra Madre Oriental and Sierra Madre Occidental. The tropical dry forest and subtropical mountain system represent the two ecological zones with the highest areas of disagreement among RSB products. These findings show discrepancies in forest extent estimates across ecological zones in Mexico, where additional ground data and research are neede