Northern Private University (Spanish: Universidad Privada del Norte) is a private university located in Trujillo, Peru. It was established by the Peruvian Congress Law N° 26275, on November the 5th, 1993. The academic activities in the University began on August the 15th, 1994. The Northern Private University has four campuses in Trujillo and Cajamarca and Lima respectively. Today, the University has about 10,000 students enrolled in undergraduate study programs, along with the undergraduate programs, the Northern Private University offers postgraduate programs as well. Since September 15, 2007, it has become a member of Laureate International Universities..
Food fraud and the lack of reliable dietary traceability systems in meat products represent a growing challenge for food safety, consumer trust, and the competitiveness of the poultry sector, particularly in contexts where verification of animal feeding relies on documentary records that may be prone to error or manipulation. In this framework, this study aimed to evaluate the capability of VIS–NIR hyperspectral imaging combined with machine learning to discriminate feeding regimes in broiler chickens (Gallus gallus domesticus), specifically assessing the influence of anatomical region on classification performance. A controlled experiment was designed using 60 broilers distributed into three contrasting feeding groups, and hyperspectral images were acquired from four anatomical regions of the carcass (breast, tail/uropygial region, thigh, and drumstick/leg). Spectra were preprocessed using Savitzky–Golay filtering and SNV normalization, and several supervised classification models, including linear and non-linear algorithms, were trained under strict individual-wise validation schemes. The results showed that the breast provided the highest discriminative capability, reaching an external accuracy close to 0.98 with an optimized Ridge model, whereas the tail/uropygial region, thigh, and leg exhibited considerably lower performance, reflecting greater structural variability and weaker diet-related spectral signatures. Furthermore, band reduction techniques successfully compressed the input space from 300 to 120 spectral bands without compromising predictive capability. Overall, these findings highlight the strong potential of VIS–NIR hyperspectral imaging as a non-destructive tool to support dietary traceability in chicken meat.
The graphyne family represents a versatile class of carbon-based materials, encompassing both semiconductors and semimetals with promising potential for technological applications. In this work, we analyze the influence of structural changes on the mechanical, electronic, and optical properties of sulfur-doped graphyne (S-GY), a recently synthesized carbon-based material composed of five-membered rings connected by acetylenic linkers. The S-GY monolayer is an indirect band-gap semiconductor with a gap of similar to 1.3 eV. Furthermore, sulfur incorporation along with the resulting structural modifications breaks the electron-hole symmetry typically observed in pristine graphyne phases. Its thermodynamic stability is confirmed by phonon dispersion and ab initio molecular dynamics simulations, while the elastic response reveals pronounced anisotropy. The optical absorption spectrum indicates the presence of bound excitons, with a binding energy of 460 meV for the ground-state exciton, while the estimated maximum power-conversion efficiency of similar to 22% highlights S-GY as a promising alkynyl carbon material for next-generation photovoltaic technologies.
White Dwarfs (WDs), the final evolutionary stage of most stars, are frequently modeled considering only a dense plasma matter. However, their potential interaction with dark matter (DM), especially in galactic halos where DM is expected to be prevalent, may lead to significant consequences. This work proposes a novel EoS (EoS) that consistently incorporates both hot dense plasma and cold dark matter (CDM) contributions in hot WDs. The hot dense plasma EoS is extended to include thermal and radiative contributions. At the same time, the CDM component is modeled as a linear fluid, with the coupling constant alpha determined self-consistently within the star. A smooth phase transition between hot dense plasma and CDM regimes is introduced via a hyperbolic mixing function that depends on local energy density and stellar temperature. Our results show that the inclusion of CDM leads to an increase in the WD radius by approximately 12% and a total mass enhancement of 0.7%, compared to standard hot WD models without lattice effects. These results highlight the importance of considering CDM in stellar modeling and suggest that WDs may serve as indirect probes for the astrophysical properties of dark matter.
Background: Although trauma can adversely affect body esteem, the specific impact of complex post-traumatic stress disorder (CPTSD) remains underexplored among Mexican women. Objective: This study examined body esteem among trauma-exposed controls and women with either PTSD or CPTSD in a sample of female Mexican university students. Method: Using a cross-sectional design, we recruited 657 cisgender Mexican women (aged 18-66) who completed the Body Esteem Scale (BES), International Trauma Questionnaire (ITQ), and Adverse Childhood Experiences-International Questionnaire (ACE-IQ). Participants were classified into three groups: trauma-exposed controls (n = 526), PTSD (n = 68), and CPTSD (n = 63). Results: Total BES scores differed significantly across groups. Participants with CPTSD reported lower overall body esteem (M = 99.48, SD = 21.32) compared to those with PTSD (M = 114.24, SD = 26.68) and controls (M = 119.38, SD = 24.93). Significant group differences also emerged in the Sexual & Physical Attractiveness and Physical Condition & Weight Concern subscales. Furthermore, the negative correlation between BES scores and trauma symptoms was more pronounced in the CPTSD group (rho = -0.40) than in the PTSD group (rho = -0.25). Conclusions: CPTSD is associated with significantly diminished body esteem in this population. These findings underscore the critical need for culturally sensitive, trauma-informed interventions that address both the psychological and somatic dimensions of body image.
Although certain factors limit students’ scientific production, one such factor, i.e., teacher authoritarianism during the preparation of research papers, has received little attention to date. Objective: To design and validate the Perceptions of Teacher Authoritarianism in Research Scale (PTARS). This research took the form of an instrumental study, in which 816 students and graduates from state and private universities located in the three regions of Peru participated voluntarily. The process by which the scale was constructed involved 10 stages, and the initial version of the scale consisted of 20 items. The data were subjected to descriptive analysis, exploratory factorial analysis (EFA), and confirmatory factor analysis (CFA), alongside tests of measurement invariance and reliability. The re-specification of the exploratory three-factor model, excluding items 7, 8, and 11 due to factorial complexity, significantly improved the fit indices. This was reflected in a reduction of the RMSEA from 0.274 to 0.067 and an increase of the CFI to 0.997. Subsequently, in the confirmatory factor analysis, the final 10-item model (Model 5) demonstrated excellent fit (χ² = 47.81, RMSEA = 0.02) and high internal consistency (ω ≥ 0.90 for all factors). In the invariance analysis, the configural model showed no differences exceeding the established cut-off points (ΔRMSEA < .015; ΔCFI ≤ .010), supporting the stability of the model across different gender groups. This study represents an important step in the process of evaluating teacher authoritarianism during the preparation of research papers; therefore, the PTARS serves as a tool that, according to the results of this research, is both valid and reliable.
